Psychoprophylaxis of Depressive Disorders in Alcohol Dependent Patients during the Covid 19 Pandemic and Autoagressive Actions in Children Growing up in this Family | | Author : Turaev Bobir Temirpulatovich | | Abstract | Full Text | Abstract :Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53966.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53966/psychoprophylaxis-of-depressive-disorders-in-alcoholdependent-patients-during-the-covid19-pandemic-and-autoagressive-actions-in-children-growing-up-in-this-family/turaev-bobir-temirpulatovich
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| Fanas Interpretations in Khamsa Episodes of Alisher Navoi | | Author : Kakhhorova Shakhnoza Abdimuminovna | | Abstract | Full Text | Abstract :Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55057.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/55057/fanas-interpretations-in-khamsa-episodes-of-alisher-navoi/kakhhorova-shakhnoza-abdimuminovna
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| Prediction of Stock Price Using Machine Learning Techniques | | Author : Pawan Ashtankar | Aniket Kalode | | Abstract | Full Text | Abstract :Stock price prediction is a difficult assignment for investors and financial analysts due to the stock markets well known dynamic and unpredictable behavior. Recent developments in artificial intelligence and the expansion of data availability have created new opportunities for financial market analysis. Finding hidden patterns in past stock market data and utilizing these patterns to predict future price movements has shown to be a very promising use of machine learning techniques. The goal of this study is to forecast stock prices using various machine learning methods and assess how well they work to increase prediction accuracy. The study makes use of historical stock market data, which includes characteristics like trade volume, opening and closing prices, and highest and lowest prices. To improve model performance, the data is meticulously preprocessed using techniques like data cleansing, normalization, and feature selection prior to deploying machine learning models. The data is analyzed and future stock price forecasts are made using a variety of machine learning techniques, such as Random Forest, Long Short Term Memory LSTM , and Linear Regression. Models that can capture sequential linkages in the data are given particular attention since stock market data exhibits a time series structure. Deep learning models, like LSTM, are better at learning complicated market movements and long term dependencies than other applicable techniques. Standard metrics like Mean Squared Error MSE , Root Mean Squared Error RMSE , and prediction accuracy are used to assess the models performance. The studys findings show that, when compared to conventional statistical techniques, machine learning techniques can greatly improve stock price forecast accuracy. These models can offer insightful information that could aid traders and investors in making better financial decisions by examining past data and identifying significant trends. All things considered, this study emphasizes how machine learning is becoming more and more significant in financial market analysis. It also implies that more dependable prediction systems may result from integrating sophisticated algorithms with huge financial datasets. By adding other elements like technical indicators, market sentiment, and news based data, future research can further enhance forecast performance. Predicting stock market movements remains one of the most daunting challenges for investors and analysts alike, primarily due to the markets inherent volatility and its sensitivity to a chaotic array of global variables. However, the dawn of the Big Data era and significant leaps in Artificial Intelligence have opened a new door the ability to decode complex, non linear patterns that were previously invisible to human observation. This study explores the efficacy of machine learning in transforming historical market data into actionable foresight. By leveraging a robust dataset of historical indicators—including opening and closing prices, daily highs and lows, and trading volumes—this research implements a rigorous preprocessing pipeline involving data cleansing, normalization, and strategic feature selection. We compare the predictive power of three distinct approaches Linear Regression the statistical baseline , Random Forest the ensemble learning perspective , and Long Short Term Memory LSTM networks. Given the chronological nature of financial markets, particular emphasis is placed on the LSTM model, a deep learning architecture specifically designed to master the long term dependencies and sequential nuances inherent in time series data. Our findings indicate a paradigm shift in accuracy when moving from traditional statistical models to deep learning architectures. Evaluated against standard industry metrics such as Mean Squared Error MSE and Root Mean Squared Error RMSE , the results demonstrate that machine learning models—specifically LSTM—offer a superior ability to capture the rhythm of the market. This study concludes that while the stock market may never be perfectly predictable, the integration of advanced algorithms provides a significant edge, offering traders and investors a sophisticated toolkit for informed decision making. We further suggest that the future of financial forecasting lies in hybrid intelligence, combining these price action models with alternative data such as real time news sentiment and macroeconomic indicators. The landscape of stock market prediction has undergone a radical transformation, moving away from rigid linear models toward dynamic, self evolving systems. In the current financial climate of 2026, the traditional reliance on Open High Low Close OHLC data is increasingly viewed as just one piece of a much larger puzzle. Modern research now emphasizes the integration of Alternative Data, such as real time social media sentiment, global geopolitical news feeds, and even satellite imagery for supply chain monitoring. This shift acknowledges that stock prices do not exist in a vacuum they are the byproduct of human emotion and global events. By feeding these diverse data streams into machine learning architectures, researchers can move beyond simple trend following and begin to identify the underlying market psychology that precedes major price shifts. While foundational techniques like Linear Regression provide a necessary baseline for understanding market direction, they often struggle to map the chaos of high volatility periods. This is where ensemble methods like Random Forest excel, as they can handle non linear relationships and prioritize which features—such as trading volume or technical indicators like RSI—actually matter at any given moment. However, the true breakthrough in 2026 lies in Recurrent Neural Networks RNNs , specifically the Long Short Term Memory LSTM architecture. Unlike standard models that treat each day as an isolated event, LSTMs possess a digital memory that allows them to recognize patterns over weeks or months. Pawan Ashtankar | Aniket Kalode "Prediction of Stock Price Using Machine Learning Techniques" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101274.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101274/prediction-of-stock-price-using-machine-learning-techniques/pawan-ashtankar
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| Cloud Computing in Threats and Preventation | | Author : Devendra Sadeshwar | Aditya Bawankar | | Abstract | Full Text | Abstract :Cloud computing has revolutionized the current information technology infrastructure in the sense that it allows organizations to access various computing resources like storage, servers, database services, and applications through the internet in a flexible manner. However, the increasing trend of using cloud computing services has also given rise to various security risks. Some of the security risks associated with cloud computing services are data breaches, hijacking, insecure interfaces, denial of service, insider hijacking, and resource misconfiguration. This research paper discusses the various security risks associated with cloud computing services and the prevention strategies that can be adopted to avoid these risks. Some of the security risks associated with cloud computing services are data breaches, hijacking, insecure interfaces, denial of service, insider hijacking, and resource misconfiguration. The purpose of the present research is to identify the major security risks involved in cloud computing, as well as the preventive measures that can be taken to reduce the risks involved in it. The research is based on secondary research, where authentic information has been collected from reliable sources such as research journals, academic publications, cybersecurity publications, government publications, and international security publications. Several authentic publications were studied to gather detailed information regarding the risks involved in cloud computing. The research has pointed out a number of key threats that are a major issue in cloud environments. The threats include data breaches, DDoS attacks, insider threats, account hijacking, insecure APIs, malware injection, and cloud resource misconfiguration, among others. The research has pointed out that data breaches are a major threat in cloud environments because data is vulnerable to being compromised if the authentication mechanisms are inadequate or if the access control measures are inadequate. DDoS attacks are a major threat because, in such cases, the cloud resources are overwhelmed with traffic, causing service unavailability. Insider threats are a major issue in cloud environments because employees may misuse their privileges. A part from that, the study also looks at the underlying vulnerabilities that make the cloud vulnerable to attacks. The vulnerabilities discussed in the study include weak password management, lack of encryption, poor identity management, unpatched software, technology risks, and monitoring mechanisms. The research study indicates that most security issues in clouds are not only caused by sophisticated cyber attacks but also due to human error In order to address the aforementioned risks, the research has examined different preventive measures that can be employed in the field of cloud security. These measures include different encryption techniques for the protection of the data, multi factor authentication, identity management systems, firewalls, intrusion detection systems, firewalls, and the implementation of international security standards. The research has also highlighted the significance of implementing a multi layered security system that comprises both proactive and reactive measures. Proactive measures are those that can protect the system from attacks before the attacks take place, whereas reactive measures can protect the system after the attack has already taken place. Devendra Sadeshwar | Aditya Bawankar "Cloud Computing in Threats and Preventation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101288.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101288/cloud-computing-in-threats-and-preventation/devendra-sadeshwar
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| Green Computing Environment Friendly IT | | Author : Gaurav Sarve | Ruchika Shahare | | Abstract | Full Text | Abstract :Green Computing is a way of doing things in the computer world that is better for the environment. It is also known as Environment Friendly IT. This way of doing things helps reduce the things that computers do to the environment. At the time it makes sure that computers keep working well and do not slow down. More and more people use computers and the internet all around the world computers are making a big contribution to the bad things that hurt the environment like the air getting dirty old computers and other things being thrown away and using a lot of energy. In fact computers use 2 3 percent of all the electricity that is used in the world. 4 This is the same as what the aviation industry uses. This paper is about the ideas, ways of doing things and problems of Green Computing. It talks about ways to make computers the software that runs on them and the big rooms where lots of computers are kept, better for the environment. Some of the things that are focused on include making computers use less energy like using special parts that do not get too hot and ways of using computers that make the most of what they can do. It also includes making software that does what it needs to do without using much energy. It talks about new ways of keeping the big rooms where computers are kept cool like using special liquids and getting energy from natural sources. The paper looks at examples of how this is being done like what Google did with its DeepMind AI to reduce the energy used to keep computers cool by 40 percent. 6 It talks about what Microsoft is doing with its underwater rooms where computers are kept using the cool ocean water to keep them from getting too hot. There are problems with doing things this way like it can cost a lot of money at first and some things may not work well together. There is a need for a standard way of measuring how well this is working. The paper talks about what the government and companies can do to help make this way of doing things popular. Green Computing is not just good for the environment it is also good for companies because it can help them save money and come up with ideas. By making sure that computers and other things are used in a way thats good for the environment we can help create a future where computers are used in a way that is good for everyone. The research demonstrates that emerging technologies which include artificial intelligence and cloud computing and renewable energy integration have the ability to enhance sustainability in contemporary computing systems. The paper demonstrates through its analysis of current industry practices and recent technological advancements that intelligent resource management together with efficient cooling systems and optimized software design leads to significant reductions in both energy consumption and carbon emissions. The results demonstrate that organizations must implement Green Computing practices to achieve both environmental protection and permanent organizational success in the fast expanding digital landscape. Green Computing enables organizations together with individuals to practice responsible computing through three specific actions which include they should stop using unnecessary devices. The practices help to decrease environmental damage while they advance sustainable development in information technology. The global IT industry can achieve its goals of environmental sustainability together with energy efficient operations through implementation of these strategies. Gaurav Sarve | Ruchika Shahare "Green Computing: Environment Friendly IT" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101277.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101277/green-computing-environment-friendly-it/gaurav-sarve
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| A Study on Search Engine Optimization SEO Techniques for Website Ranking | | Author : Aditi Matte | Snehal Asole | | Abstract | Full Text | Abstract :In the quickly growing advanced scene, accomplishing higher perceivability in look motor result pages SERPs has ended up fundamental for businesses, organizations, and people looking for maintainable online development. As advanced stages proceed to develop exponentially, competition for client consideration has escalates, making look motor positioning a basic determinant of online victory. Look Motor Optimization SEO is a organized and vital handle pointed at moving forward a website’s natural positioning by upgrading its substance significance, specialized execution, specialist signals, and generally client involvement. With the ceaseless advancement of look motor calculations through progressed computational models, manufactured insights integration, and machine learning based positioning frameworks, conventional optimization procedures alone are no longer adequate to guarantee reliable and feasible positioning growth 4 . This consider analyzes the major SEO procedures and assesses their effect on site positioning execution inside a organized expository system. The inquire about categorizes SEO procedures into three essential measurements on page optimization, off page optimization, and specialized optimization. On page SEO centers on substance quality, semantic significance, catchphrase expectation arrangement, and basic clarity to upgrade coherence and relevant precision. Off page SEO emphasizes backlink validity, space specialist improvement, computerized believe signals, and brand notices that contribute to site notoriety in biological systems. Specialized SEO guarantees proficient slithering, ordering precision, portable responsiveness, secure browsing conventions, organized information execution, and generally execution steadiness that collectively impact look motor openness and client satisfaction. Additionally, the inquire about highlights the energetic nature of look motor environments, where calculation upgrades persistently rethink positioning priorities. The investigate concludes that SEO must be caught on as a multidimensional computerized optimization system requiring nonstop adjustment to algorithmic headways, behavioral analytics, and advancing client look designs 14 . By joining hypothetical establishments with commonsense perception and execution examination, this ponder contributes to an organized scholastic understanding of SEO’s vital part in upgrading natural perceivability, fortifying computerized validity, and guaranteeing long term site positioning supportability. Additionally, the study highlights the importance of continuous performance monitoring and data driven strategies in sustaining search visibility. These findings emphasize the need for a systematic and adaptive approach to achieve long term website ranking success. This study demonstrates that structured and integrated SEO strategies significantly enhance sustainable search engine ranking performance and online visibility 7 . The findings emphasize that long term positioning success requires a systematic combination of content relevance, authority development, technical optimization, and continuous performance monitoring. Also, the think about assesses how look motor calculations progressively depend on data driven positioning signals to decide site pertinence and specialist. Advanced look motors analyze different execution markers such as watchword pertinence, backlink validity, page stacking speed, versatile compatibility, and organized substance engineering. These components collectively impact the way look motors creep, file, and rank web pages inside look result pages. The inquire about moreover highlights that user centered variables such as substance coherence, route proficiency, and engagement measurements play a critical part in deciding the long term positioning soundness of websites 8 . As look motors prioritize client involvement and expectation fulfillment, websites that keep up high quality substance and optimized specialized execution tend to accomplish more maintainable perceivability in competitive advanced environments. Furthermore, the consider emphasizes that fruitful SEO execution requires ceaseless checking, expository assessment, and vital change. Site execution pointers such as natural activity development, click through rates, and bounce rates give profitable experiences into the viability of optimization procedures. By coordination substance optimization, specialist building, and specialized improvements, organizations can fortify their computerized nearness and make strides their competitive situating in the online commercial center. The discoveries recommend that a efficient and versatile SEO system not as it were progresses look motor rankings but too contributes to upgraded client believe, more grounded brand validity, and long term advanced supportability in an progressively competitive web biological system. Aditi Matte | Snehal Asole "A Study on Search Engine Optimization (SEO) Techniques for Website Ranking" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101278.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101278/a-study-on-search-engine-optimization-seo-techniques-for-website-ranking/aditi-matte
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| Scalability and Performance Challenges in Full Stack Applications | | Author : Bhushan Nikumbh | Anand Gaidhane | | Abstract | Full Text | Abstract :Full stack applications are an important part of modern web services because they combine front end and back end development to create smooth, interactive user experiences. This merging of layers lets developers quickly add new features that meet users needs while keeping performance and reliability high. Big companies like Amazon need strong full stack applications to keep user interfaces in sync with complicated backend tasks, like real time inventory updates and safe transaction processing, even when traffic spikes. This paper examines significant scalability and performance issues intrinsic to full stack applications. It gives a complete picture of the problems that come up at the front end, back end, and database layers. We look into database bottlenecks, ways to balance the load using micro services, handling sessions, and the role of distributed caching. The paper also we look at database bottlenecks, load balancing strategies, the use of micro services, session handling, and the importance of distributed caching. The paper also looks at how network latency and geographic distribution affect how quickly applications respond. Additionally, the paper examines the impact of network latency and distribution on application responsiveness Through best practices, architectural patterns, and emerging technologies, we aim to offer comprehensive insights and actionable strategies to overcome these challenges and build resilient, high performance, full stack system. The evolution of web technology has driven developers toward unified frameworks that simplify the development of both client side and server side applications. Full Stack Web Frameworks have become the cornerstone of modern web development by integrating multiple technologies under a single ecosystem. This research paper as three major full stack web frameworks. Express.js, React.js, Node.js , Express.js, Angular, Node.js , and React — based on parameters such as architecture, scalability, performance, development efficiency, and community support. Through experimental analysis and code implementation, the study demonstrates that the choice of a full stack framework significantly influences project speed, Maintainability, and deployment performance. Full stack applications are integral to modern web services, combining front end and back end development to deliver seamless, interactive user experiences. This unification of layers enables developers to iterate and deploy functionalities that respond to users’ rapid needs while maintaining consistent performance and reliability. Industry giants like Amazon rely on robust full stack applications to synchronise user interfaces with complex backend operations, such as real time inventory updates and secure transaction processing, even under significant spikes in traffic 1 . Similarly, Netflix exemplifies the power of scalable full stack systems by concurrently using server side optimizations and front end adaptive streaming algorithms to deliver seamless video playback, personalized content recommendations, and low latency user interactions to millions of global viewers 2 . However, as these applications become more complex, ensuring they scale efficiently and maintain optimal performance becomes a core challenge. Bhushan Nikumbh | Anand Gaidhane "Scalability and Performance Challenges in Full - Stack Applications" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101279.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101279/scalability-and-performance-challenges-in-full--stack-applications/bhushan-nikumbh
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| Detection of Phishing Website Using Machine Learning | | Author : Amisha Choudhari | Vivek Bagade | | Abstract | Full Text | Abstract :Phishing is a type of cybersecurity attack that involves stealing personal information such as passwords, credit card numbers, etc. To avoid phishing scams, we have used Machine learning techniques to detect Phishing Websites. Therefore, in this paper, we are trying to find the total number of ways to find Machine Learning techniques and algorithms that will be used to detect these phishing websites. We are using different Machine Learning algorithms such as KNN, Naive Bayes, Gradient boosting, and Decision Tree to detect these malicious websites. The research is divided into the following parts. The introduction represents the focused zone, techniques, and tools used. The Preliminaries section has details of the preparation of the information that is required to move further. Later the paper emphasizes the detailed discussion of the sources of information. This research addresses the imperative need for advanced detection mechanisms for the of phishing websites. For this purpose, we explore state of the art machine learning, ensemble learning, and deep learning algorithms. Cybersecurity is essential for protecting data and networks from threats. Detecting phishing websites helps prevent fraud and safeguard personal information. To evaluate the efficacy of our proposed method, the top features using information gain, gain ratio, and PCA are used to predict and identify a website as phishing or non phishing. The proposed system is trained using a dataset that covers 11,055 websites. The ensemble learning model applied achieved an impressive 99 accuracy in predicting phishing websites, surpassing previous models, and setting a new benchmark in the field. The findings highlight the effectiveness of combining deep learning architectures with ensemble learning, offering not only improved accuracy but also adaptability to emerging phishing techniques. His research focuses on the detection of phishing websites using machine learning techniques. The proposed approach analyzes various characteristics of a website, including features extracted from the URL, domain registration information, and selected webpage content. These features help capture meaningful patterns that can differentiate phishing websites from legitimate ones. Several supervised machine learning algorithms are implemented and trained on a phishing website dataset to automatically learn these patterns. The models are then tested and compared to evaluate their ability to correctly identify phishing websites. The performance of the machine learning models is measured using standard evaluation metrics such as accuracy, precision, recall, and F1 score. The experimental results show that machine learning–based models are highly effective in detecting phishing websites, with ensemble based classifiers providing the best overall performance. These models are able to detect not only known phishing websites but also newly created and previously unseen phishing websites, which is a key advantage over traditional detection techniques. The proposed phishing detection system is efficient, scalable, and suitable for real time implementation. It can be integrated into web browsers, email filtering systems, or other cybersecurity tools to provide early warnings to users and reduce the risk of phishing attacks. This research demonstrates that machine learning offers a practical and reliable solution for improving phishing website detection and strengthening online security. In recent years, with the increasing use of mobile devices, there is a growing trend to move almost all real world operations to the cyberworld. Although this makes easy our daily lives, it also brings many security breaches due to the anonymous structure of the Internet. Used antivirus programs and firewall systems can prevent most of the attacks. However, experienced attackers target on the weakness of the computer users by trying to phish them with bogus webpages. These pages imitate some popular banking, social media, e commerce, etc. sites to steal some sensitive information such as, user ids, passwords, bank account, credit card numbers, etc. Phishing detection is a challenging problem, and many different solutions are proposed in the market as a blacklist, rule based detection, anomaly based detection, etc. In the literature, it is seen that current works tend on the use of machine learning based anomaly detection due to its dynamic structure, especially for catching the “zero day” attacks. In this paper, we proposed a machine learning based phishing detection system by using eight different algorithms to analyze the URLs, and three different datasets to compare the results with other works. The experimental results depict that the proposed models have an outstanding performance with a success rate 3 . Amisha Choudhari | Vivek Bagade "Detection of Phishing Website Using Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101283.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101283/detection-of-phishing-website-using-machine-learning/amisha-choudhari
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| Digital Exclusion in the Age of Artificial Intelligence Structural Inequality and the Emerging Algorithmic Divide | | Author : Sakshi Wani | Hardik Bawankule | | Abstract | Full Text | Abstract :Computers that learn are now part of daily life shaping jobs, money handling, medical choices, schools, how people talk online, even government work. These smart systems often run faster, guess outcomes better, grow easily but also change who gets chances and who holds control. Being left out digitally isn’t just about lacking internet anymore it hides inside hidden rules made by machines. Some folks have devices and signals but still miss from data used to train programs, struggle to grasp what machine choices mean, or find no way to challenge those automatic results. Looking closer at how AI systems leave people out, this work pieces together ideas about internet access gaps, hidden biases in code, and rules meant to keep tech fair. Uneven data feeds into unclear algorithms, often shaped by dominant languages, while many lack basic understanding this mix widens a gap not just in access but in real influence. Drawing from early surveys and comparing different oversight models, it shows where harm might grow if ignored. Solutions take shape through clearer processes, broader language support, shared decision power, and designs that prioritize equity over uniform fixes. What counts as inclusion shifts when who gets heard changes quietly behind layers of automation. What stands out in the paper is how leaving people out of AI isn’t just about code or machines. It grows from old imbalances, choices made by powerful organizations, uneven schooling. Real change means adjusting how systems are built, who watches over them, helping everyone understand what they face so these tools lift lives instead of deepening divides. Starting off, the study lays out a framework called the AI Exclusion Architecture Model to show how data setups, tech design, peoples understanding, along with rules interact. Instead of just listing parts, it digs into patterns found by examining real cases and interpreting key themes. What stands out is that automated tools used in hiring checks, loan ratings, or what shows up online may deepen old inequalities especially if protections fall short. What stands out is how being left out of AI spaces isn’t just about lacking tools it plays out across skills, access, and trust in systems. Fixing gaps means going beyond better software fair rules must guide design, code needs clear explanations, languages other than English matter, people need steady chances to learn how algorithms shape choices. Seen through the machinery of automated decisions, unfairness online becomes harder to ignore, pushing conversations about fair tech forward, suggesting that if AI hopes to be accepted long term, it has to open doors instead of closing them. Unequal access shaped by artificial intelligence doesn’t just harm individuals it can shift how entire societies move forward, affecting fairness in jobs, banking, and government support. Starting off, the study builds a framework called the AI Exclusion Architecture Model to show how data setups, tech designs, peoples understanding, along with rules interact. Instead of just listing parts, it traces connections across layers using exploratory methods and pattern based insights. One observation reveals that automated hiring tools, loan evaluation systems, plus online content sorting may deepen existing inequalities if protections fall short. What stands out is how quietly these systems uphold old divides without obvious intent. Safeguards matter more than assumed when decisions shift toward machines. Sakshi Wani | Hardik Bawankule "Digital Exclusion in the Age of Artificial Intelligence: Structural Inequality and the Emerging Algorithmic Divide" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101280.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101280/digital-exclusion-in-the-age-of-artificial-intelligence-structural-inequality-and-the-emerging-algorithmic-divide/sakshi-wani
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| Biometric Security Systems and Their Applications | | Author : Komal Shrawankar | Pratik Ghogale | | Abstract | Full Text | Abstract :In todays advanced world, biometric security frameworks are getting to be an basic piece of innovation for personality confirmation. Individuals one of a kind physiological and behavioral characteristics are utilized by biometric frameworks to confirm clients. These features include voice recognition, iris scans, fingerprints, and facial traits. In terms of accuracy, dependability, and preventing unwanted access, biometric systems differ from conventional security systems. Explaining the concept of biometric security systems, their operation, and the many kinds of biometric systems is the main goal of the current study paper. The study also focuses on comprehending the numerous uses of biometric systems in a variety of industries, such as banking, healthcare, mobile phones, immigration control systems, and workplace attendance systems. However, privacy concerns, implementation costs, and potential biometric recognition failures are some of the difficulties related to biometric technology. Despite these shortcomings, biometric technology is becoming more accurate and efficient because to continuous technical advancements. According to the studys conclusions, biometric security systems will undoubtedly have a significant influence on future security system improvements. Biometric security frameworks are a state of the art strategy for character confirmation and recognizable proof since they make utilize of each individuals special organic and behavioral characteristics. Not at all like conventional security strategies like passwords, PINs, or get to cards, biometric frameworks depend on characteristics like fingerprints, facial recognizable proof, iris designs, voice acknowledgment, and hand shape. Since these characteristics are troublesome to duplicate, biometric frameworks are more dependable and secure. This study looks at the many types of biometric authentication systems, their technologies, and their operating principles. It also examines its usage in a number of industries, including banking, healthcare, government identity, border control, mobile devices, and workplace security. The report also discusses the disadvantages of biometric systems, including privacy concerns, system accuracy, and implementation costs, as well as their advantages, such as improved security, simplicity of use, and reduced fraud. The ponder illustrates how biometric security is changing present day computerized security framework and emphasizes the significance of creating secure and privacy preserving biometric arrangements for future applications. Due to its capacity to give exact and straightforward character confirmation, biometric verification has gotten to be an basic portion of modern security frameworks. This contrasts with conventional security frameworks, which depend on each persons particular physiological and behavioral characteristics An overview of biometric technology, classification, and biometric system components is given in this study. The use of biometric technologies in banking, government services, airports, and smartphone devices is further investigated in this study. It also highlights the potential for advancement as well as the benefits and drawbacks of biometric security systems. The rapid advancement of digital technologies and online services has made robust and reliable security solutions essential . Biometric security solutions provide a workable answer by using unique biological traits to verify identity. Numerous biometric techniques, including voice, face, fingerprint, and iris identification systems, are examined in this study. The consider offers proposals for changes in biometric innovation in expansion to tending to issues counting information security, framework disappointments, and security dangers. Komal Shrawankar | Pratik Ghogale "Biometric Security Systems and Their Applications" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101290.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101290/biometric-security-systems-and-their-applications/komal-shrawankar
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| AI Based Chatbots for Customer Support in Websites | | Author : Manthan Vitale | Kartik Chafle | | Abstract | Full Text | Abstract :Chatbots powered by artificial intelligence are changing how websites help their customers. Since we understand better how people speak, large digital systems like GPT 3 and smart search approaches like RAG can now answer many common questions by themselves—sometimes managing about seven out of ten without any human help. These helpers are always on the job, can talk in lots of languages, but still feel kind of familiar when you have a chat with them. Companies that use them often cut costs on support teams, saving anywhere from a quarter to more than a third. Users also seem happier, with feedback scores going up by 10 to 15 points after these tools are set up. This report mainly looks at some popular chatbot tools such as Tidio, Zendesk, Gorgias, Wonder chat, easel AI, Intercom, Drift, Ada, and LivePerson. Numbers matter, but hearing real stories from people who use something makes a big difference too. Did you mean a reply in one second Getting what users want right more than ninety percent of the time This is where you can find those targets. Solid numbers guide parts of the analysis instead of relying on guesses. Real feedback really matters, especially when it comes from over ten thousand comments collected from sites like G2 and Capterra. What people say usually reveals things that charts just can’t. ROI isn’t just something people guess it’s worked out using real life examples .Each tool is examined using real data and practical experience. Next, I check out different setups online to see how things come together. We check out all sorts of places, from the common ones like WordPress and Shopify to the less usual ones like Wix and Web flow. Custom builds made with HTML5 or JavaScript are included in the list as well. This update also includes some brand new backend only content tools. Chatbots that use artificial intelligence have some clear benefits. When a lot of people visit a website, these tools handle personalized conversations without slowing anything down. The system catches problems early by guessing they might happen before things get worse. Messages can flow smoothly between platforms, linking web chats with emails and social networks too. But there are still some challenges. Sometimes, the AI might mess up and give the wrong answers when it runs into weird or tricky cases. Current models struggle to follow long conversations. The data they’re trained on can sometimes include hidden biases or unfair patterns. Developers often feel the pressure when it comes to following rules, especially with laws like GDPR, CCPA, and India’s 2023 digital privacy act shaping what they’re allowed to do. The research studies how smoothly tasks get passed between machines and the people who help out with them. Users often run into problems when they speak languages other than English, especially in places like Pune, Maharashtra. Tests done on early models bring in real world data to support these points. Chatbots made with Dialog flow can handle around 85 percent of the common questions people ask while shopping online. What really strikes me is how rarely a query actually needs someone to step in. Some predictions say the global market for AI tools in customer service might hit around 20 to 25 billion dollars by 2030.Since this rise is expected, the report offers some ideas for the future, like mixing live agents with smart software rather than replacing them entirely. At the same time, it’s really important to follow clear moral rules when using AI. One idea is to create systems that can talk, see, and interact with visuals all at the same time. These paths can help companies, whether theyre small online shops or large web services, keep in touch with their customers. Having sharper tools helps you connect more easily, especially when it’s hard to hold someone’s attention. Manthan Vitale | Kartik Chafle "AI-Based Chatbots for Customer Support in Websites" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101295.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101295/aibased-chatbots-for-customer-support-in-websites/manthan-vitale
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| Role of Python Programming with Face Recognition | | Author : Rohit Halmare | Namit Meshram | | Abstract | Full Text | Abstract :Artificial intelligence AI , particularly in relation to facial recognition, has emerged as one of the more popular implementations found in today’s increasingly digital world. The use of facial recognition within our society encompasses many areas including but not limited to security systems, online identity verification, surveillance, mobile authentication, and tracking attendance. Among all of the programming languages presently available for the creation of AI applications, developed using an airplane dive as well as any other programming paradigms such as object oriented programming , Python currently represents the most widely used programming framework utilized by developers to create facial recognition applications because of its simplicity, multitude of available libraries, and its broad user base and community of users. This paper discusses the role of Python programming as it relates to the design and implementation of facial recognition applications. Additionally, this paper describes the principles used to detect and recognize faces, as well as provide an overview of the commonly used Python libraries associated with face recognition e.g., OpenCV, NumPy, TensorFlow, etc. and their individual contributions to the practical implementation of face recognition systems. This research project continues by discussing the advantages, challenges and future trends of face recognition technologies created using Python. AI is being used in places all over the internet. Using AI to identify people is just one of many ways AI is being used today. Some other ways are to let people get into buildings where there are controls that can tell who you are to verify who you are when using your online identities to monitor people in a specific physical location via video surveillance to allow mobile phone owners to be the only ones able to unlock their phones and to track attendance at events by verifying that the people attending are actually permitted to attend. There are many programming languages available to create AI based systems however, Python has emerged as the language of choice for building facial recognition systems because it is easy to use, has a robust set of libraries, and is supported by a large developer community. Examples of powerful tools provided with the Python language for building AI systems such as facial recognition systems include OpenCV, NumPy, TensorFlow, and dlib, which help developers to accomplish complex tasks related to facial detection, feature extraction, facial encoding, and identity verification more easily. Because of the available libraries, face recognition systems can be developed with real time accuracy and significantly less complexity than would otherwise be necessary. The use of Python for facial recognition systems also allows for the rapid creation, scalable solutions, and integration with machine learning and deep learning algorithms. While there are many advantages to building facial recognition systems using Python, challenges related to accuracy, privacy, and security are present within many of the Python based systems available. In summary, code written in the Python language accelerates the development of intelligent biometric systems, and Python will continue to support the development of new technological advancements in the areas of AI based security and authentication systems. This study investigates how Python may be used to build and construct facial recognition software. It describes how Pythons robust and intuitive modules make easy difficult tasks like face detection, feature extraction, face encoding, and identity verification. OpenCV, NumPy, TensorFlow, and dib are some of the tools that developers may use to create real time, effective recognition systems with relatively less complexity. Pythons ability to facilitate quick development, scalability, and interaction with AI and machine learning models is also highlighted in the report. This article explores the practical uses, benefits, and drawbacks of Python based facial recognition systems, including issues with accuracy, privacy, and data security, in addition to technical considerations. The study comes to the conclusion that Python not only speeds up development but also provides a solid basis for upcoming developments in AI driven security and biometric authentication .Dels. Rohit Halmare | Namit Meshram "Role of Python Programming with Face Recognition" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101296.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101296/role-of-python-programming-with-face-recognition/rohit-halmare
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| Why Digital Tools Fail to Improve Time Management | | Author : Vedant Bandebuche | Piyush Surpaithankar | | Abstract | Full Text | Abstract :In today’s digital world, many people rely on productivity apps, calendars, reminders, and task management tools to organize their daily activities and improve time management. These digital tools are designed to make planning easier, reduce stress, and increase productivity. However, despite the wide availability and use of these technologies, many individuals still struggle to manage their time effectively. This research paper explores the reasons why digital tools often fail to improve time management for many users. One of the main reasons is the lack of self discipline and consistent habits among users. Many people download productivity apps but stop using them regularly after a short period of time. In addition, digital devices themselves can become a source of distraction through social media notifications, messages, and entertainment platforms. Another challenge is that some tools are too complex or include too many features, which can overwhelm users instead of helping them stay organized. The study also highlights that technology alone cannot replace personal responsibility, planning skills, and self control. Digital tools can support productivity only when they are used properly and with clear goals. Therefore, improving time management requires not only the use of technology but also the development of strong personal habits and effective planning strategies. Furthermore, the research emphasizes the importance of understanding the relationship between technology and human behavior. While digital tools provide features like reminders, scheduling systems, and progress tracking, their effectiveness largely depends on how users interact with them. Many people rely too heavily on these tools without developing the habit of prioritizing tasks or setting realistic goals. As a result, the tools become underutilized or ignored over time. This study suggests that a balanced approach combining digital support with strong personal discipline, awareness, and consistent practice can lead to better time management outcomes. It also encourages developers to design simpler and more user friendly tools that focus on reducing distractions and helping users build productive routines. In today’s digital era, productivity applications such as digital calendars, task managers, reminder systems, and planning tools are widely used to improve time management and increase efficiency in daily activities. These tools are designed to help individuals organize tasks, plan schedules, and reduce stress related to workload management. However, despite the increasing availability and popularity of these digital solutions, many users still struggle to manage their time effectively. This research paper explores the reasons why digital tools often fail to improve time management for a large number of users. One major factor identified in the study is the lack of self discipline and consistent usage habits. Many individuals initially adopt productivity applications with the intention of improving their organization, but over time they stop using them regularly. Additionally, digital devices themselves often act as sources of distraction due to social media notifications, messages, and entertainment platforms, which reduce focus and productivity. Another challenge highlighted in this study is the complexity of some productivity tools. Applications with too many features or complicated interfaces can overwhelm users instead of helping them stay organized. As a result, users may feel confused or discouraged, leading to reduced usage of these tools. The research also emphasizes that technology alone cannot replace personal responsibility, effective planning skills, and self control. Digital tools can support productivity only when they are used properly and combined with clear goals and disciplined habits. Furthermore, the study examines the relationship between technology and human behavior. Although digital tools offer helpful features such as reminders, scheduling systems, and progress tracking, their success largely depends on how individuals interact with them. In today’s digital world, productivity applications such as digital calendars, task managers, reminder systems, and planning tools are widely used to improve time management and increase efficiency in daily activities. These tools are designed to help individuals organize tasks, plan schedules, and reduce stress related to workload management. However, despite the growing availability and popularity of these digital solutions, many individuals still struggle to manage their time effectively. This research paper explores the reasons why digital tools often fail to improve time management for many users. One major reason identified in this study is the lack of self discipline and consistent usage habits among individuals. Many users download productivity applications with the intention of becoming more organized, but they often stop using them regularly after a short period of time. Additionally, digital devices themselves can become major sources of distraction through social media notifications, messages, and entertainment platforms, which reduce focus and productivity. Another challenge highlighted in the research is the complexity of some productivity tools. Applications with too many features or complicated interfaces can overwhelm users rather than helping them stay organized. As a result, users may feel confused or discouraged, which leads to reduced usage of these tools. The study also emphasizes that technology alone cannot replace personal responsibility, effective planning skills, and self control. Digital tools can support productivity only when they are used properly and combined with clear goals and disciplined habits. Furthermore, the research highlights the importance of understanding the relationship between technology and human behavior. The findings suggest that a balanced approach combining digital tools with strong personal discipline and effective planning strategies is essential for achieving better time management and productivity. Vedant Bandebuche | Piyush Surpaithankar "Why Digital Tools Fail to Improve Time Management" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101298.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101298/why-digital-tools-fail-to-improve-time-management/vedant-bandebuche
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| Artificial Intelligence in Healthcare A Study on Disease Prediction Systems | | Author : Sumit Mishra | Lucky Yadav | | Abstract | Full Text | Abstract :Artificial intelligence AI has emerged as a transformative force in healthcare, particularly in the development of disease prediction systems that enhance early diagnosis, clinical decision making, and patient care. This study reviews the integration of AI techniques—including machine learning ML and deep learning DL models—in predictive analytics for various diseases such as cardiovascular disorders, diabetes, cancer, and neurological conditions. By analysing large volumes of clinical data from electronic health records EHRs , medical imaging, and real time monitoring devices, AI driven systems can identify complex patterns and risk factors that traditional methods may overlook. Predictive algorithms like Random Forest, Support Vector Machines SVM , Convolutional Neural Networks CNN , and long short term memory LSTM networks demonstrate high accuracy in forecasting disease onset and progression, often surpassing conventional statistical models. Despite significant promise, challenges such as data heterogeneity, model interpretability, and ethical considerations must be addressed to ensure reliable and equitable deployment in clinical settings. Future research should focus on enhancing model transparency. Artificial Intelligence AI is playing a major role in improving the healthcare sector by enabling early disease detection and accurate prediction. This study focuses on AI based disease prediction systems that use machine learning and deep learning algorithms to analyze medical data such as patient history, symptoms, lab test results, and medical images. AI models like Decision Tree, Random Forest, Support Vector Machine SVM , Neural Networks, and Convolutional Neural Networks CNN help in predicting diseases such as diabetes, heart disease, cancer, and kidney disorders with high accuracy. These systems support doctors in making faster and better decisions, reducing human errors, and improving patient treatment outcomes. However, challenges like data privacy, lack of quality datasets, and model interpretability still exist. The study concludes that AI driven disease prediction systems have great potential to enhance healthcare services, and future advancements can make them more reliable, secure, and widely usable in real time clinical environments. The rapid advancement of Artificial Intelligence AI has significantly influenced various sectors, particularly healthcare. AI technologies are increasingly being used to develop intelligent systems capable of predicting diseases at an early stage. This study explores the application of artificial intelligence in healthcare with a focus on disease prediction systems. By utilizing machine learning algorithms and large healthcare datasets, AI systems can analyze medical records, symptoms, and historical patient data to detect patterns that indicate the possible occurrence of diseases. Such systems assist doctors in making more accurate and timely decisions, ultimately improving patient outcomes. The research examines the working mechanisms of AI based prediction models and highlights their advantages in enhancing diagnostic accuracy, reducing healthcare costs, and supporting preventive medicine. Additionally, the study discusses challenges such as data privacy, model reliability, and integration with existing healthcare infrastructure. Overall, AI driven disease prediction systems represent a promising approach to improving the efficiency and effectiveness of modern healthcare services. Sumit Mishra | Lucky Yadav "Artificial Intelligence in Healthcare: A Study on Disease Prediction Systems" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101299.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101299/artificial-intelligence-in-healthcare-a-study-on-disease-prediction-systems/sumit-mishra
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| Enhanced AI Based Lung Disease Diagnosis Using Real Time Edge Detection and Voice Based Explanation System | | Author : Deep Jaulkar | Shrilesh Dhobale | | Abstract | Full Text | Abstract :Artificial Intelligence has changed the way medical images are looked at in radiology. Doctors need to diagnose people accurately. Old Artificial Intelligence systems for medicine usually need the internet to work. They use cloud computing. Need to be online all the time to look at medical data. This is a problem because it can be slow, expensive and not good for keeping patient information private. It also does not work well in places with internet. This makes it hard to use diagnostic systems in rural areas, emergency rooms and other places where resources are limited. So, this project is trying to make a system that can detect lung disease from chest X ray images without needing the internet. The system uses learning to find many kinds of lung diseases like pneumonia, tuberculosis and COVID 19. It can do this on devices like NVIDIA Jetson Nano, Google Coral Edge TPU and Raspberry Pi 5 and even on smartphones. This research proposes an enhanced Artificial Intelligence AI based lung disease diagnosis system that integrates real time edge detection techniques with a voice based explanation module. The system utilizes deep learning algorithms, particularly Convolutional Neural Networks CNNs , to analyze chest X ray or CT scan images. Real time edge detection is applied as a preprocessing step to enhance lung boundaries, highlight abnormal regions, and improve feature extraction accuracy. The integration of real time processing and voice assistance makes the system suitable for smart healthcare environments and telemedicine applications. This approach contributes to early disease detection, improved patient communication, and accessible AI driven medical diagnostics. Because the system works on the device itself it is faster does not need the cloud and keeps information private. It can give answers in one to two seconds, whichs good for medical emergencies. Another important thing about this system is that it is transparent. In healthcare it is not enough for a model to be right it also needs to explain why it made a decision. So, the system uses techniques like Gradient weighted Class Activation Mapping and Local Interpretable Model Explanations. These help doctors see which parts of the X ray image the system used to make its decision. The system also has a voice feature that tells doctors what it found in language. This is helpful for healthcare workers who may not be able to look at the images. It makes the system easier to use in medical settings. The system is portable uses energy keeps information private and can be used offline. It combines edge computing, deep learning, Artificial Intelligence and voice features to help doctors detect lung disease early. This can help doctors diagnose faster have work to do and make healthcare better especially in places where internet and medical resources are limited. Artificial Intelligence and lung disease detection are important for saving lives. Lung disease detection systems, like this one can really make a difference. The proposed model performs automated classification of lung conditions and provides rapid diagnostic predictions with high accuracy. To improve usability and accessibility, especially in rural or resource limited healthcare settings, the system incorporates a voice based explanation feature. This module converts diagnostic results into clear, understandable audio feedback for patients and medical practitioners, thereby enhancing transparency and interpretability of AI decisions. This paper presents an enhanced Artificial Intelligence AI based lung disease diagnosis system that combines real time edge detection with a voice based explanation framework to improve diagnostic precision, interpretability, and accessibility. Deep Jaulkar | Shrilesh Dhobale "Enhanced AI-Based Lung Disease Diagnosis Using Real-Time Edge Detection and Voice-Based Explanation System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101307.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101307/enhanced-aibased-lung-disease-diagnosis-using-realtime-edge-detection-and-voicebased-explanation-system/deep-jaulkar
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| Blockchain Based Certificate Verification System | | Author : Sachin Jangid | Sheikh Mahrookh | | Abstract | Full Text | Abstract :In the world we live in today academic certificates are really important for education. Getting a job. The old way of giving out and checking certificates has a lot of problems. People can make certificates change information and it takes a long time to verify them manually. These are issues that universities, employers and students have to deal with. Many organizations still use papers or keep all their information in one place, which can be easily changed, lost or hacked. Because of these problems we really need a system that can verify certificates in a transparent and reliable way. This research paper talks about a system that uses Blockchain to verify certificates. Blockchain is like a book that keeps track of information in a way that cannot be changed or deleted. In this system schools upload information about certificates. Store a special code on the blockchain. This keeps the certificate safe. Makes sure it is not fake. Each certificate has an ID or QR code that can be used to verify it right away. Employers or other people who are allowed to check certificates can do so directly through the system without having to contact the school that issued it. This makes the verification process faster taking only seconds instead of days. The system also makes things more transparent. Helps build trust between students, schools and employers. By not relying on one authority the system is more secure and reduces the risk of fraud. The system uses web technologies and blockchain to create an easy to use solution. Overall, this research shows how blockchain can make the way of verifying certificates better and create a safer and more efficient digital system, for managing academic credentials. Nowadays, schools’ hand out certificates that matter a lot when applying for college jobs grants or promotions. With more colleges online courses popping up every year students receive far more paperwork than before. Still old ways of sharing proof often fall short somehow. Fake stamps altered files missing archives hacking risks these haunt physical copies and centralised systems alike. Finding out if a credential is real usually means sending an email or making a call to the school which takes too much time. When checks drag on like this, schools struggle, bosses wait longer, learners get stuck, plus staff end up swamped sorting it all out. Fake certificates are becoming more common. Because of this, trust in documents is dropping. A clear way to check records feels necessary now. One answer could lie in systems built on blockchain. Information sits across many computers at once there. Change needs agreement from everyone involved. After data enters, it stays fixed forever. That kind of setup fights tampering well. Academic papers might live safer inside such structures. Trust grows when no one can secretly edit proof of learning. The past sticks around unchanged. Confidence follows. A school makes a digital version of a diploma. It builds a special coded mark for every one using math based tools. Not everything goes onto the public record just the secret coded piece sits on the chain, so personal details stay hidden yet secure. Every proof gets its own ID tag or scan ready box shape for quick checks. People hiring workers or others allowed can check if a credential is real by looking at the shared ledger themselves, no phone call needed. The moment someone scans it, confirmation happens fast, swapping long waits across weeks for nearly instant clarity. Starting with web tools and joining them to blockchain networks builds a smooth way to hand out and check certificates. Without needing central groups or middlemen, safety grows clear trust between learners, schools, and companies. Built on scattered systems, it blocks fake changes, cuts down cheating, while keeping information steady through rough patches. Built on solid testing, this study shows blockchain reshapes old ways of checking certificates by making them digital, safer, quicker, yet open to review. Instead of just fixing current weak spots, it sets up a system that grows smoothly with today’s education needs. Sachin Jangid | Sheikh Mahrookh "Blockchain-Based Certificate Verification System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101320.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101320/blockchainbased-certificate-verification-system/sachin-jangid
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| Inter of Things IOT in Smart Cities | | Author : Prajwal Nagmoti | Ajay Siloke | | Abstract | Full Text | Abstract :The Internet of Things has transformed and revolutionized the working of the modern cities by the use of intelligent and smart systems. Where traditional infrastructure depended on human supervision and waited for instructions to react, a smart infrastructure with IoT has sensors and cameras to detect and supervisors which collect sensor data and communicate through the internet to control the working of a city. Under this system, provision of facilities, responding to emergencies, optimization of resources all is data driven, instead of assumption or case study dependent, which helps the human supervisors make informed and quick decisions in challenging scenarios. One of the main advantages of IoT for a smart city is real time monitoring and automation. Location, movement, vehicular and pedestrian traffic, inclement weather, emergencies, power and water availability, demand and quality can be monitored from the sensor data collected on cloud, and predictions can be made about these parameters for efficient planning. Automated systems with intelligent algorithms can automatically switch on or off traffic signals, streetlights, alarms and warnings, control room electronics, power backup and water distribution systems, etc based on real time data sensed every second. This minimization of human intervention improves efficiency and delays, and low operational cost. Other than improving efficiency, IoT can help the environment when deployed on a city wide scale. Urbanization has led to increase in pollution, waste generation, and depletion of resources such as water, and electricity. Intelligent waste collection systems can predict optimal time and route for collection by bin fill detection, and automated water management systems can detect leakages and monitor usage for water conservation. Environmental monitoring to detect emergencies or increasing pollution levels has become easy using sensors under the IoT. The Internet of Things IOT describes a kind of network which interconnects various devices with the help of internet. IOT assists to transmit data with among devices, tracing and monitoring devices and other things. IOT make objects smart by allowing them to transmit data and automating of tasks, without lack of any physical interference. A health tracking wearable device is an example of simple effortless IOT in our life. A smart city with sensors covering all its regions using diverse tangible gadgets and objects all over the community and connected with the help of internet. This word IOT was first suggested by Kevin Ashton in 1999. The subsequent segment represents fundamental of IOT. It hands out several covering pre owned in IOT and varied fundamental denominations connected. It is primarily enlargement of helping hand using Internet. Smart cities are the way of the upcoming in both fields which have a large radius and reach their ends nearly farfetched. Even though AI focuses on uniting technology with the most basic of objects, IoT lays the groundwork for connecting all of these linked technologies to form a network. The term ‘smart city’ is viewed in a variety of ways by various people. It encompasses smart budget observations, smart power, smart existing, smart flexibility, smart atmosphere, information exchange, preparation, and execution, as well as more effective, informal, and qualified occupations. The management takes many steps to emphasize the necessity for a technology setup in urban, and smart cities are the succeeding vast entity. The Department of Housing and Inner city Concerns’ ‘Smart Town Mission’ is one of the utmost visible programs. This is a stage where states can recommend their cities for smart city transformation. This is done like an opposition, with cities being chosen and ranked according to their quality. Prajwal Nagmoti | Ajay Siloke "Inter of Things (IOT) in Smart Cities" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101313.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101313/inter-of-things-iot-in-smart-cities/prajwal-nagmoti
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| AI Based Resume Screening | | Author : Sujal More | Srujal Kene | | Abstract | Full Text | Abstract :AI based resume screening leverages machine learning and natural language processing NLP to automate the evaluation and ranking of job applicants. Traditional recruitment processes are time consuming and prone to human bias. Artificial Intelligence AI systems enhance efficiency by analyzing resumes, extracting relevant skills, and matching candidate profiles with job descriptions. Modern platforms such as HireVue, Pymetrics, and LinkedIn incorporate AIdriven tools to streamline talent acquisition. This research paper explores the architecture, methodologies, advantages, limitations, and ethical implications of AI based resume screening systems. The study concludes that while AI significantly improves recruitment efficiency and scalability, transparency, fairness, and bias mitigation remain critical challenges. significantly enhancing the efficiency and objectivity of the hiring process. By analyzing key elements such as skills, experience, education and job specific keywords, these systems filter and rank candidates, delivering a shortlist of top matches to recruiters. This technology reduces manual effort, minimizes human bias and accelerates decision making in recruitment. However, challenges such as potential algorithmic bias and overemphasis on keyword matching highlight the need for careful design and oversight. This abstract explores the functionality, benefits, and implications of AI powered resume screening systems, underscoring their transformative role in modern human resource management. In today’s competitive job market, organizations receive a large number of applications for each job opening, making manual resume screening a time consuming and inefficient process. Traditional recruitment methods are often prone to human bias, inconsistency, and delayed decision making. To address these challenges, this research proposes an AI Based Resume Screening System that automates candidate shortlisting using Machine Learning ML and Natural Language Processing NLP techniques. The proposed system extracts textual information from resumes and job descriptions, preprocesses the data to remove noise, and transforms it into structured numerical representations using the Term Frequency–Inverse Document Frequency TF IDF method. Cosine similarity is applied to measure the relevance between candidate resumes and job requirements, enabling the system to rank applicants based on their suitability. Additionally, supervised machine learning algorithms such as Naïve Bayes and Support Vector Machine SVM are implemented to classify resumes into appropriate job categories. The performance of the system is evaluated using standard metrics including accuracy, precision, recall, and F1 score to ensure reliability and effectiveness. The results demonstrate that the AI based approach significantly reduces manual effort, improves screening speed, and enhances the accuracy of candidate selection. This study highlights the potential of artificial intelligence in transforming traditional recruitment processes into intelligent, data driven systems. The proposed model provides a scalable and efficient solution for modern hiring challenges and can be further enhanced through the integration of advanced deep learning techniques and real time analytics in future research. To ensure fairness and transparency, the proposed system incorporates bias detection and mitigation mechanisms during model training. The dataset is analyzed for imbalanced representation across attributes such as education background, experience level, and skill categories. Techniques such as balanced sampling and feature normalization are applied to reduce unintended favoritism toward specific candidate profiles. Furthermore, explainable AI XAI methods are used to provide recruiters with a justification for each recommendation, enabling them to understand why a candidate was ranked higher or lower. This improves trust in the automated system and supports human decision making rather than replacing it entirely. The system architecture follows a modular pipeline consisting of data collection, preprocessing, feature extraction, model training, evaluation, and deployment. Resumes in various formats PDF, DOCX, TXT are parsed using text extraction libraries and converted into structured datasets. After preprocessing, vectorized representations are stored in a database and compared against job description vectors in real time. A web based dashboard allows recruiters to upload job requirements, view ranked candidates, and filter applicants based on customizable criteria such as experience range or required skills. This integration makes the system practical for real world HR workflows. Sujal More | Srujal Kene "AI Based Resume Screening" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101316.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101316/ai-based-resume-screening/sujal-more
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| Security Challenges in Mobile Applications | | Author : Prajwal Gajbe | Rajat Rahangdale | | Abstract | Full Text | Abstract :Over the past year mobile apps have completely changed how we talk to each other, shop, learn, and even handle our money. Phones aren’t just for calls anymore. Now, people use their phones as wallets, health trackers, and sometimes even as their main workspace. With everyone depending so much on these apps, security isn’t just important it’s critical. Mobile apps are very important parts of our daily life. we can’t deny any risky nature of any apps. Sure, mobile operating systems have gotten better, but app level security still has some serious gaps. A lot of apps still rely on weak sign in systems, don’t store data safely, leave their APIs exposed, or make it easy for hackers to take them apart. In this paper, I’m digging into the biggest security headaches facing mobile apps and looking at how these problems actually affect people and businesses. The research draws from academic articles, cybersecurity reports, and real life data breaches. This research paper digs into the big security problems in mobile apps, pulling insights from academic studies, industry reports, and real world examples. It breaks down why these vulnerabilities happen and looks at how they affect both users and organizations. Turns out, a lot of the trouble comes from sloppy coding, skipping thorough testing, and just not thinking enough about security while building the apps. One big headache is just how scattered mobile operating systems and devices are. With all the different versions of Android and iOS out there, you get a patchwork of security updates and protection features. Lots of folks don’t bother keeping their phones up to date, so apps end up exposed to vulnerabilities everyone already knows about. And honestly, developers tend to focus more on making apps look good and run smoothly than locking down security. That means security flaws slip right into the final product. This study really drives home how important it is to tackle mobile app security head on. Developers, organizations, and users all have to work together—build apps securely, keep them updated, and stay alert to new threats. Strong security frameworks and following the best practices out there actually make a difference they cut down on risks and keep user data safer from new cyberattacks. In the end, this research gives us a clearer picture of the real challenges out there and points to ways we can build mobile systems that people can actually trust. Another big problem weak authentication and authorization. A lot of mobile apps use pretty basic logins that don’t stand up to brute force attacks, stolen passwords, or even simple phishing scams. When developers don’t set up authentication properly, it opens the door for hackers to slip into restricted parts of the app—major security risk right there. And there’s more. Malware loves mobile devices. One wrong download and some nasty app start stealing your info, tracking what you do, or taking over your phone. Then you’ve got reverse engineering and code tampering. Hacker tear into the app’s code, searching for weak spots or changing things so they can skirt security rules. Android apps get hit a lot because the platform’s so open. On top of that, developers often pull in third party libraries or APIs without really checking how secure they are. That’s like building a house with mystery bricks—you never know what flaws you’re bringing in. In the end, the paper makes it clear mobile app security isn’t a one and done thing. Developers need to stick to secure coding rules, use solid encryption, put proper authentication in place, and keep testing for security issues on a regular basis. If we want to protect user data and keep people trusting digital services, we have to keep raising the bar on mobile app security. Prajwal Gajbe | Rajat Rahangdale "Security Challenges in Mobile Applications" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101370.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101370/security-challenges-in-mobile-applications/prajwal-gajbe
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| Ethical Decision Making in AI System | | Author : Aashay Jumde | Soham Nimje | | Abstract | Full Text | Abstract :Artificial Intelligence is becoming a part of the way we make decisions all around the world. The problem is that we do not really understand how Artificial Intelligence makes these decisions. This has created an issue where nobody is really responsible for what Artificial Intelligence does. This paper is going to look closely at the ethical issues that come up when we use Artificial Intelligence and other systems that can work on their own. We will be focusing on the problem of making Artificial Intelligence work quickly and efficiently while also making sure that it does what is right and fair. Artificial Intelligence has to be able to make decisions but it also has to be accountable, for what it does. The Black Box problem is central to this study. This problem is about the Large Language Models and the way they make decisions. These Large Language Models are very complicated. It is hard to understand why they make certain decisions. This is an issue in important areas, like healthcare and criminal justice and financial services. The Large Language Models are used to make decisions in these areas but it is not clear why they make these decisions. 3 This study looks at what has been written about Fairness, Accountability and Transparency frameworks far. It also suggests a way to check if these frameworks are ethical. We think that algorithms can be biased because the data used to train them reflects the prejudices of the past. The study also looks at the problem of trying to make predictions thatre both accurate and fair to all people. It shows that trying to make predictions accurate can mean that some groups of people are treated unfairly. The idea that math can be completely neutral is not true because the data it is based on is not neutral. This research evaluates how well Fairness, Accountability and Transparency frameworks are working. 1 One big problem with Artificial Intelligence is that it can be unfair. This happens when the data we use to train Artificial Intelligence is not fair. For example, if the data is mostly one type of person Artificial Intelligence might not work well for other types of people. To fix this we use something called Fairness by Design . We make sure that the data is fair before we use it. We also add rules to the Artificial Intelligence system to make sure it is fair. We check the results to make sure they are fair. Artificial Intelligence systems also need to be accountable. This means that people need to be involved in the decision making process. We call this Human in the loop . Artificial Intelligence can process a lot of data. People need to make sure that the choices it makes are good. As Artificial Intelligence gets better we want to make sure that it works well with people. We need to balance how well Artificial Intelligence works with how fair its. We want Artificial Intelligence to make choices that are good for everyone. We need to keep working on this to make sure that Artificial Intelligence is good for society. Artificial Intelligence has to make choices thatre good for people and we need to be able to trust it. We are trying to make Artificial Intelligence thats fair and good and that works well with people. This is a challenge but it is very important. We need to make sure that Artificial Intelligence is used in a way thats good, for everyone and that it does not hurt anyone 13 . Aashay Jumde | Soham Nimje "Ethical Decision Making in AI System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101372.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101372/ethical-decision-making-in-ai-system/aashay-jumde
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| Human AI Interaction How AI is Changing Daily Decision Making | | Author : Dipti Gaydhane | Dhanasvi Shende | | Abstract | Full Text | Abstract :Artificial Intelligence AI has rapidly evolved into a transformative force that significantly influences daily human decision making across personal, social, and professional contexts. Unlike traditional computational systems, modern AI technologies are capable of learning from data, adapting to user behavior, and generating predictive outputs that shape choices in real time. In digital environments such as e commerce platforms, navigation systems, streaming services, and virtual assistants, AI filters information, prioritizes alternatives, and presents structured recommendations that guide user behavior. Amershi et al. 2019 1 emphasize that AI systems are increasingly functioning as collaborative partners rather than passive tools, fundamentally altering how individuals interact with technology. As a result, the decision making process has shifted from being entirely human driven to a hybrid cognitive model where algorithmic intelligence actively participates in shaping judgments and outcomes. The growing integration of AI into economic and social systems has restructured how information is accessed and processed. Brynjolfsson and McAfee 2017 2 argue that AI powered digital platforms enhance efficiency by reducing search costs and accelerating information flow, thereby enabling faster and more data informed decisions. Through predictive analytics and personalization algorithms, AI anticipates user preferences and delivers customized options tailored to individual needs. While such personalization increases convenience and engagement, it also narrows exposure to diverse alternatives, potentially reinforcing existing preferences and behavioral patterns. Consequently, AI does not merely assist in decision making it subtly modifies the architecture of choice by shaping what options are visible and prioritized. Transparency and explainability represent critical challenges in AI mediated decision making environments. As AI systems become more complex, particularly with the adoption of deep learning models, understanding how decisions are generated becomes increasingly difficult for end users. Doshi Velez and Kim 2017 3 stress the necessity of interpretable machine learning frameworks to ensure accountability and maintain user trust. When individuals cannot understand the reasoning behind AI generated outputs, they may either over trust or under trust the system. Effective explainability mechanisms are therefore essential to support informed reliance, allowing users to evaluate recommendations critically rather than accepting them blindly. Another important aspect of AI’s impact on daily decision making involves automation and human reliance. As AI systems move from advisory roles to autonomous agents capable of executing tasks, users increasingly delegate responsibility to algorithms. Parasuraman and Riley 1997 4 warn that automation can lead to misuse, disuse, or abuse when human oversight diminishes. In contexts such as healthcare diagnostics, financial investment management, and transportation systems, excessive reliance on automated outputs may reduce human vigilance and critical thinking. This phenomenon highlights the importance of calibrated trust and the continued involvement of human judgment in high stakes decisions. Dipti Gaydhane | Dhanasvi Shende "Human-AI Interaction: How AI is Changing Daily Decision-Making" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101456.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101456/humanai-interaction-how-ai-is-changing-daily-decisionmaking/dipti-gaydhane
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| NyayaSetu AI An AI Based Legal Assistance System | | Author : Kundan Atel | Rudra Milke | | Abstract | Full Text | Abstract :The importance of legal services is evident in the frame work of justice systems and in the protection of rights of individuals. Despite the availability of legal services and protections in statutes, the fact remains that a big segment of society does not know and understand legal services. Traditional methods of legal consultation are not accessible because of their high cost and the need to travel to a specific location to receive consultation. In recent years, the use of artificial intelligence AI and natural language processing NLP enable the construction of an intelligent system to “democratize” access to legal services by processing and transforming legally complicated texts to more accessible versions 1 . NyayaSetu AI is an AI system designed to provide users with simple legal information and act as a legal awareness and procedural guidance tool. The set of services offered by NyayaSetu AI is meant to remove the informational barrier that exists between the citizen and the legal system in the legal system by providing a simplified user friendly answer to a legal question and directing the user to take legal action. This paper presents the design, the analysis of the problems, and the conceptual framework of NyayaSetu AI and its cost effective and efficient access to justice. NyayaSetu AI aims to be an intelligent legal assistant system that will help mitigate the growing divide between the general population and the legal system. Modern societies do have many legal rights and protections. However, many people cannot access these rights and protections due to the high levels of legal jargon, complicated steps and processes, and high associated costs 2 . The system uses new advancements in artificial intelligence, natural language processing and knowledge representation to provide digital legal assistance in simple and relevant legal advice to the user. The underlying framework of NyayaSetu AI is to convert logic and user dialogue into formal legal documents. The conversion of informal and unstructured language into legal documents and articulated reasoning is a major step for people to engage with the legal system. The system is designed to empower people to engage with the system on their own without legal professionals. There is an unequal distribution of legal knowledge and the system is designed as a response to the imbalanced distribution of legal knowledge 3 . There is a gap between legal information and the legal system. Legal language and legal documents are intentionally written to be unapproachable to the average person. Additionally, the framework features privacy protection technology for personal queries, and incorporates Ethical AI principles of fairness, transparency, and accountability to strengthen user trust by addressing concerns of response bias. Early evaluations of intelligent assistance systems indicate a promising future in legal research by streamlining and optimizing the process to enhance user satisfaction 4 . This research proposes a framework to support legal informatics by extending service capacity to individual users, community user advocates, and administrator user advocates. With a blend of digital innovation and HCD, NyayaSetu AI cultivates the proposition to improve accessibility of legal services and enhances the ease of user engagement in governance 5 . The last few years have seen a change in the structure and reach of many of the world’s modern legal systems. In particular, the rise of digital technologies and the use of Artificial Intelligence have altered how legal information is disseminated, how legal administrative tasks are performed, and how inefficiencies in legal systems are handled. Intelligent Systems can help integrate more systems into the justice process. Legal systems can currently be cost prohibitive and procedural complex which can result in a lack of public awareness and understanding of the legal systems. In many cases, the public can be legally educated, and the systems through which justice is attained can be streamlined. Intelligent Systems can be used to automate the legal processes, and enable the public to educate themselves legally so that the public can provide the professional legal opinions to the public. Kundan Atel | Rudra Milke "NyayaSetu AI: An AI-Based Legal Assistance System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101457.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101457/nyayasetu-ai-an-aibased-legal-assistance-system/kundan-atel
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| Future Scope of Artificial Intelligence | | Author : Lucky Kalbande | Nayan Zade | | Abstract | Full Text | Abstract :Artificial Intelligence AI is currently the most relevant and the biggest technology changing world 1 . It is responsible of change many industries, economies, governing and human life. Starting from its beginning as the research of computational logic and machines reasoning it developed into an interactive, and data driven approach for complex human cognition like tasks, and now it is a research field with high demand in different aspects of life, business and world that is continuously developing. This research aims to explore the future of Artificial Intelligence using a review of its technology development, application in various fields, societal impact, economic impact and the ethical issues to be encountered. The quick improvement in the machine learning, deep learning, neural networks and natural language processing enabled the intelligent machines, systems, and technologies performing great analysis in very large volume of data, pattern discovery, prediction modeling, adaptation through learning capabilities 2 .The use of computational processing capacity, cloud system and large volume of data across the internet accelerated these changes greatly. Today its not in research labs anymore, it is part of daily life and the overall world, especially in different sectors that drive the global and the personal lives as well. From healthcare, AI applications, including disease detection at the early stages, analysis of images such as medical, research of new drug treatments, or development of personal medicines and healing plans contribute to improve health accuracy and increase patient living, while financial sectors use the intelligent systems for fraudulent discovery, credit score calculation, stock trading and risk management. Industries are now automating some of their jobs using robots, predictive and scheduled maintenance or quality controls that increase efficiency and reduce operational costs in manufacturing or construction sites. 3 Transportation is currently benefiting greatly from AI in traffic light optimization, autonomous vehicle, logistics management and security. The development and application of artificial intelligence are also expected to tackle global challenges in environmental protection and sustainable development through climate modeling, renewal energy optimization, efficient agriculture, or disaster forecasting system. Smart cities use an interconnected digital infrastructure to optimize energy use, water supply, waste management or urban planning, by using the data collected in real time. Similarly in the education area, AI creates intelligent tutor systems, personalized learning methods, and a great contribution to education inclusivity. As the expansion of AI technologies, however it may seem positive, carries a lot of risks such as violation of personal data privacy, security vulnerabilities, discriminatory output from biased algorithms, lack of transparency, and job displacement. 4 There are many ethical issues to be considered as automated systems are increasingly deployed in many important areas like healthcare, criminal justice or financial industry, as there is the issue of where the responsibility should lie, when they make errors, and how to create unbiased, understandable algorithms black boxes are often criticized and explainable AI is developed as a solution . While new jobs such as AI engineers, data scientists or cybersecurity specialist will appear on the job market there are risks of job displacement and importance of workers re skilling, education reform and social adaptation strategies for minimizing this problem and providing equal opportunities for everyone. The fusion of AI with other future technologies such as Internet of Things IoT , robotics, blockchain technology, Biotechnology or quantum computing, may produce complex systems which solve the complex global issues such as environment, resource scarcity or diseases. Therefore, AI development can only move forward effectively and harmoniously if there is clear international and governmental cooperation on ethics, regulation and strategic long term objectives of development, which ensures that new technologies enhance human living instead of threatening it, leading toward global improvement, sustainable growth, increased well being, and sustainable structures of our civilization. Lucky Kalbande | Nayan Zade "Future Scope of Artificial Intelligence" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101461.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101461/future-scope-of-artificial-intelligence/lucky-kalbande
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| The Evolution and Impact of Mobile Applications | | Author : Om Narlawar | Kapil Ganjare | | Abstract | Full Text | Abstract :In todays modern era, mobile applications have become an indispensable facet of life and stand as one of the primary contributors to the digital world. As smartphone technology becomes more widely adopted, internet services are more readily available and cheaper, and technology continues to advance, the usage of mobile applications has grown tremendously in the last decade. Mobile applications serve as a central point to the digital revolution of modern society. The millions of available applications at our fingertips through the app stores, the Apple App Store and Google Play Store, have changed the way humans perceive technology and interrelate with one another. Mobile applications have become part of communications, shopping, online banking, medicine, e commerce, online education, entertainment, traveling and much more. The proliferation of smartphones like the Apple iPhone, the introduction of the Apple App Store, the introduction of Android mobile operating system and the Google Play Store have opened the path to the formation of a huge mobile ecosystem where all kinds of services and opportunities were made available to humanity. By offering convenient, fast and efficient methods for accomplishing diverse tasks, mobile applications have forever transformed conventional human ways of performing various day to day activities. Consequently, mobile applications have grown so important that they have become indispensable to both individual and business sectors. The present proposed paper provides an overview of the development, deployment and consumption of mobile applications in the modern world and its varying sectors such as education, medicine, digital payment and e commerce 1 . For example, mobile applications in education have allowed for online classes and the provision of study materials in comprehensive form, anywhere and anytime, overcoming the geographical and temporal constraints that traditional learning imposes. Mobile applications have greatly accelerated the global development of digital economy by playing a key role in banking and electronic payment systems 2 , thus helping in the realization of cashless society. E commerce applications permit users to conduct online purchasing of various items with assured security for payment, followed by delivery right to the users doorstep. Mobile applications contribute in significant ways to human communication, online spending habits, business processes, delivery of healthcare and transformation of educational systems by largely impacting many other processes contributing to the rapid advancement of global economy and digital revolution. Even though mobile applications offer many merits to users and organizations, they do carry drawbacks as well, which should not be neglected. Data privacy, online scams and criminal activities as well as cybercrime are just few of the issues that require attention. Users have grown highly dependent on the mobile applications which, at times can pose harmful risks to human physical and mental health. Hence, it is imperative that we use mobile applications responsibly and securely. In conclusion, we have undeniably seen a drastic revolution in the modern era brought by mobile applications, that at one time enhances the human life and stimulates the growth of the economy 3 , but on the other hand introduces various privacy risks, cyber threats, health risks as well as psychological dependency issues which must be tackled effectively. Mobile applications have significantly improved communications, enhanced individual and professional productivity, created new job opportunities, and provided various services at peoples disposal across the globe 4 . As we move on to the future, with the rapid advancements in technology such as Artificial intelligence, 5 G and Cloud computing, we shall see even greater impact from mobile applications in Om Narlawar | Kapil Ganjare "The Evolution and Impact of Mobile Applications" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101462.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101462/the-evolution-and-impact-of-mobile-applications/om-narlawar
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| FPGA Implementation of Real Time Video Edge Detection by Using Different Filter | | Author : Ponkarthick. V | Dr. Kala. S | | Abstract | Full Text | Abstract :As another innovation created based on picture and video handling, moving item following and perceiving is one of the essential research subjects in application fields, for example, PC vision, mechanical autonomy and video data preparing. It has discovered broad applications in video data preparing.It has discovered broad applications in video pressure, target acknowledgment, keen observing, video recovery human PC cooperation and bio prescription, and so forth .The system of moving article following is to choose whether there exist objects moving in video and to position the objective fundamentally and remember it .the exactness rate of protest moving in video and to position the objective essentially. Composed calculations are effectively arranged, incorporated and actualized on Field Programmable Gate Array FPGA . Ponkarthick. V | Dr. Kala. S "FPGA Implementation of Real Time Video Edge Detection by Using Different Filter" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Active Galaxy , June 2018, URL: https://www.ijtsrd.com/papers/ijtsrd14324.pdf Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/14324/fpga-implementation-of-real-time-video-edge-detection-by-using-different-filter/ponkarthick-v
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| Wearable Artificial Kidney A Dialysis Machine to Clean Blood | | Author : Saranya. C. S | Dr. Kala. S | | Abstract | Full Text | Abstract :Elderly individuals with constant assault are winding up increasingly various in our nation. In Mexico, an interminable assault that is among the best ten reasons for mortality. Individuals who endure Chronic Kidney Disease CKD must be on a consistent audit to keep up illness control and observing. In hemodialysis, a manufactured kidney hemodialyzer is utilized to expel waste and additional chemicals and fluid from your blood. To get your blood into the fake kidney, the specialist needs to influence an entrance to entrance into your veins. This is finished by a minor task to your arm or leg. Some of the time, an entrance is made by joining a conduit to a vein under your skin to make a greater vein called a fistula. In any case, if your veins are not worthy of a fistula, the specialist may utilize a delicate plastic tube to join a supply route and a vein under your skin. This is known as a unite. Sometimes, an entrance is made by methods for a thin plastic tube, called a catheter, which is embedded into a huge vein in your neck. This sort of access might be transitory, yet is infrequently utilized for long haul treatment. Saranya. C. S | Dr. Kala. S "Wearable Artificial Kidney: A Dialysis Machine to Clean Blood" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Active Galaxy , June 2018, URL: https://www.ijtsrd.com/papers/ijtsrd14325.pdf Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/14325/wearable-artificial-kidney-a-dialysis-machine-to-clean-blood/saranya-c-s
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| Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects | | Author : Anshul Shengar | | Abstract | Full Text | Abstract :The complexity of software development is rising, necessitating the use of effective tools to manage workflow, collaborate, and structure code. A software organization tool called Syntax Level Up was created to improve teamwork in contemporary software engineering while automating code structuring. This study investigates how it can reduce manual labour in project management, enforce optimal coding practices, and enhance code readability. Experiments on different software development teams are conducted as part of the study to compare their productivity before and after adding Syntax Level Up. Measured are important performance metrics like development time, error reduction, and teamwork effectiveness. The results show a notable increase in developer productivity, decreased redundancy, and improved project maintainability. The findings demonstrate how real time communication and code structure automation can revolutionize contemporary software engineering methods. Level Up Syntax. Through controlled studies with teams working on various programming projects, our study assesses Syntax Level Up. The tests evaluate how the application affects code quality, best practices compliance, and collaborative development efficiency. Anshul Shengar "Automating Code Structuring and Collaboration: The Role of Syntax Level Up in Modern Software Engineering" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78383.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/78383/automating-code-structuring-and-collaboration-the-role-of-syntax-level-up-in-modern-software-engineering/anshul-shengar
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| Next Generation Personal Finance Management Leveraging Technology for Enhanced Financial Control | | Author : Susmita Bhelkar | | Abstract | Full Text | Abstract :This paper introduces a cutting edge personal finance tracker that uses thorough tracking, data analysis, and actionable insights to help people manage their financial well being. The implemented technology makes it more convenient to monitor and predict financial trends in real time by combining multiple financial data sources, such as income, expenses, investments, and loans, onto a single platform. The tracker allows users to make data driven financial decisions by providing personalized suggestions for maximizing investment, saving, and spending strategies by the use of machine learning and predictive analytics. The application in this includes customized financial goals, a strong budgeting system, and reminders for impending payments or financial milestones. The study assesses how well this personal finance tracker works to advance long term financial stability, financial literacy, and financial decision making. Innovative solutions used here lead to handle important issues like user engagement, data privacy, and the integration of various financial accounts. According to the research, sophisticated personal finance tools with intuitive user interfaces and insightful analytics can greatly enhance a persons capacity to successfully manage their money in the ever more complex financial environment. Susmita Bhelkar "Next-Generation Personal Finance Management: Leveraging Technology for Enhanced Financial Control" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78403.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78403/nextgeneration-personal-finance-management-leveraging-technology-for-enhanced-financial-control/susmita-bhelkar
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| Levelling Up Education The Role of Gamification in Modern E Learning Platforms | | Author : Nidhi Nagpure | | Abstract | Full Text | Abstract :Because it offers accessible and adaptable learning options, e learning has revolutionised education. However, learner motivation and engagement are frequently issues with traditional online learning. The use of game features like challenges, leaderboards, badges, and points—known as gamification—has become a popular tactic to increase student engagement and boost performance. This study examines how gamification can be included into e learning systems and examines how it affects learning performance overall, student engagement, and information retention. The study shows the establishment important gamification components that support successful learning experiences by doing a thorough analysis of the body of existing literature and actual case studies. The results demonstrate how well crafted gamified e learning settings can promote active engagement, intrinsic motivation, and a more engaging learning environment. Potential issues including an excessive dependence on extrinsic rewards and the requirement for customised gamification techniques are also covered in the study. In the end, this study emphasises how crucial it is to strike a balance between pedagogical principles and gamification components in order to optimise the efficacy of e learning platforms. Nidhi Nagpure "Levelling Up Education: The Role of Gamification in Modern E-Learning Platforms" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78415.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78415/levelling-up-education-the-role-of-gamification-in-modern-elearning-platforms/nidhi-nagpure
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| Improvement in the process of Production Planning Applying the Simplex Method | | Author : González Torres Arturo | García Araiza Oscar S | Ramírez Castañeda Armando I | García Parada Ricardo Y | García González Juan M | | Abstract | Full Text | Abstract :The manufacture of metal mechanical parts is very important in the industrial field. Due to the increasing demand in the market, the company under study decided to develop the application of this method, to be able to know the production planning of its products. This study is limited to two products with the most demand currently product A and product. A time study with a 95 confidence interval was also performed to determine the average processing time for each product, as well as the limits of each product. The result of the present investigation was to know the planning of the production of the two products with the most demand González Torres Arturo | García Araiza Oscar S | Ramírez Castañeda Armando I | García Parada Ricardo Y | García González Juan M "Improvement in the process of Production Planning Applying the Simplex Method" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | 2nd International Congress of Engineering , October 2017, URL: https://www.ijtsrd.com/papers/ijtsrd5820.pdf Paper URL: https://www.ijtsrd.com/engineering/other/5820/improvement-in-the-process-of-production-planning-applying-the-simplex-method/gonzález-torres-arturo
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| Improvement of the Production Process through the Application of the Simulation Technique | | Author : González Torres Arturo | Ramirez Castañeda Armando I. | Ricardez González Dalia K. | Fernández López Susana. Y. | Martínez Muñoz María F. | | Abstract | Full Text | Abstract :The present research presents the results obtained from a practical study regarding the improvement of the production process through the application of the simulation technique. A 90 reliability and 10 error were used for the time lapse study. For the analysis of the production process ProModel® specialized software was used in its test version. The results obtained in the research were that the simulation model behaves similar to the actual production process Likewise, the productivity of the production process was 2.33 . González Torres Arturo | Ramirez Castañeda Armando I. | Ricardez González Dalia K. | Fernández López Susana. Y. | Martínez Muñoz María F. "Improvement of the Production Process through the Application of the Simulation Technique" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | 2nd International Congress of Engineering , October 2017, URL: https://www.ijtsrd.com/papers/ijtsrd5821.pdf Paper URL: https://www.ijtsrd.com/engineering/other/5821/improvement-of-the-production-process-through-the-application-of-the-simulation-technique/gonzález-torres-arturo
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| Evaluation of the Quality of a Prognosis for an Industrial Product using the Regression Analysis | | Author : González Torres Arturo | Rodríguez Cuellar Ruth | Marrón Ramos Domingo Noé | Robles Ramírez Diana P. Y | Sevilla Pérez Rafael | | Abstract | Full Text | Abstract :The present research presents the results obtained from a practical study with respect to the evaluation of the quality of a forecast for an industrial product using the regression analysis. A 95 reliability and a 5 error were used for the validation of the partial samples of the conductivity and density of the product. For the regression analysis the specialized software Minitab® was used in its test version. The results obtained in the research were that the regression model and the parameters of the model are significant, reason why, the regression analysis is significant. González Torres Arturo | Rodríguez Cuellar Ruth | Marrón Ramos Domingo Noé | Robles Ramírez Diana P. Y | Sevilla Pérez Rafael "Evaluation of the Quality of a Prognosis for an Industrial Product using the Regression Analysis" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | 2nd International Congress of Engineering , October 2017, URL: https://www.ijtsrd.com/papers/ijtsrd5822.pdf Paper URL: https://www.ijtsrd.com/engineering/other/5822/evaluation-of-the-quality-of-a-prognosis-for-an-industrial-product-using-the-regression-analysis/gonzález-torres-arturo
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| The Use of Information Technologies and Communication Create an Educational Change | | Author : Marrón Ramos Domingo Noé | Pliego Martínez Odette Alejandra | Ramírez Castillejo Rosa Isela | Reyes Mérida César P.A. Y | Ramírez Castillejo Griselda | | Abstract | Full Text | Abstract :In this theoretical conceptual research, it is given to know an overview of the need for the teaching update in the field of Information and Communication Technologies ICT, this in response to the need to comply with the requirements of the current life where technology is present in all daily activities and the school is no exception, it must adapt teaching learning models that go in line with the current environment. Marrón Ramos Domingo Noé | Pliego Martínez Odette Alejandra | Ramírez Castillejo Rosa Isela | Reyes Mérida César P.A. Y | Ramírez Castillejo Griselda "The Use of Information Technologies and Communication Create an Educational Change" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | 2nd International Congress of Engineering , October 2017, URL: https://www.ijtsrd.com/papers/ijtsrd5823.pdf Paper URL: https://www.ijtsrd.com/engineering/other/5823/the-use-of-information-technologies-and-communication-create-an-educational-change/marrón-ramos-domingo-noé
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| Customer Service Quality Assessment within the Industrial Corporation Applying the Servqual Tool | | Author : Ríos Romero Vianey | | Abstract | Full Text | Abstract :In the present investigation we show the results obtained from a study carried out in an industrial corporation located in Mexico City with respect to quality in the service. A 95 reliability and 5 error were used in the study. The SERVQUAL tool was used for the analysis. The results obtained in the research were that the reliability dimension had 85 , the response capacity obtained 85 , the security achieved 82.5 , the empathy achieved 80 and the tangible elements reached 80 . The overall average quality of service was 82.50 . Ríos Romero Vianey "Customer Service Quality Assessment within the Industrial Corporation Applying the Servqual Tool" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | 2nd International Congress of Engineering , October 2017, URL: https://www.ijtsrd.com/papers/ijtsrd5824.pdf Paper URL: https://www.ijtsrd.com/engineering/other/5824/customer-service-quality-assessment-within-the-industrial-corporation-applying-the-servqual-tool/ríos-romero-vianey
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| Diagnosis of the Factors Involved in Apathy in Students in Industrial Engineering | | Author : Romero Arellano Silvia | Chávez Hernández Noemí | González Torres Arturo | Mendoza Montero Fátima Y. Y | Medina Molina Yearim | | Abstract | Full Text | Abstract :The present research presents the results obtained from a study carried out at a university located in Mexico City, regarding apathy. A 95 reliability and 5 error were used in the study. For the analysis a questionnaire was adapted, this instrument was proposed by Lopez and Sánchez 2010 . As a result, the objective of research was achieved, the first cause of apathy in young people is the content of the subject and the teacher who teaches his subject. In addition, it was reached to know that students have more apathy are those of algebra and probability and statistics. In addition, approximately 35 of the students surveyed indicated that they chose to study this course because they had not stayed in the university they wanted. Romero Arellano Silvia | Chávez Hernández Noemí | González Torres Arturo | Mendoza Montero Fátima Y. Y | Medina Molina Yearim "Diagnosis of the Factors Involved in Apathy in Students in Industrial Engineering" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | 2nd International Congress of Engineering , October 2017, URL: https://www.ijtsrd.com/papers/ijtsrd5825.pdf Paper URL: https://www.ijtsrd.com/engineering/other/5825/diagnosis-of-the-factors-involved-in-apathy-in-students-in-industrial-engineering/romero-arellano-silvia
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| Real time Processor for the Authentication of Affected Herbal Medicinal Leaves Using Image Processing Techniques Review | | Author : Debjyoti Guha | Hari Vishnu | Mr. L. Jegan Antony Marcilin | Mrs. T. Vijayashree | | Abstract | Full Text | Abstract :In biological sciences, herbal plants play a vital role in medicinal purpose. Identifying the leaf with unaffected leaves is more important nowadays. The leaves get affected due to many diseases like Phragmidium meuronatum, Cercospora jasmicola, Oidium tingitanium, Cephaleuros virescens. This paper focuses on the study and identification of unaffected leaves based on automated leaf recognition system. The proposed system uses image processing technique for image segmentation and feature extraction. The dataset includes 100 leaves of 10 different species. The leaves are compared with the database and the based on the threshold value the affected leaves are determined. The texture and color parameters are taken for disease authentication using image processing algorithm. Then it is fed into the real time processor Raspberry pi processor for which anywhere it can be used. The main use of Raspberry Pi is to make the system more user friendly. It uses four USB port and a real time camera which captures the image and feeds in the system. This work is more applicable in the field of agriculture and pharmaceutical industries. Debjyoti Guha | Hari Vishnu | Mr. L. Jegan Antony Marcilin | Mrs. T. Vijayashree "Real time Processor for the Authentication of Affected Herbal Medicinal Leaves Using Image Processing Techniques- Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Active Galaxy , June 2018, URL: https://www.ijtsrd.com/papers/ijtsrd14545.pdf Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/14545/real-time-processor-for-the-authentication-of-affected-herbal-medicinal-leaves-using-image-processing-techniques-review/debjyoti-guha
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| A Novel Colour Image Embedded QR Code Generation Technique for Chip Less RFID Labelling | | Author : Dr S Hemalatha | R latha | S Mythili | | Abstract | Full Text | Abstract :In recent years, chip less RFID mark located based on genetic algorithm GA optimization system is used. The genetic algorithm is fit and facility to arrangement a band of frequency domain chippers card like QR display. The resultant card supports an extend 30 mm × 30 mm and reside of lattice limited metallic pieces arranged randomly over a 60 × 60 bit design frame a collection of advanced structured. The frequency signature of the GA based mark is optimized to consistent with an FSK based ciphering process and a magnitude of 8 segments is acquired. The construct of the resultant mark is proven. Optimum mark model made in silver ink, marked down flexible bases, serigraphy, which is a large consistent performance procedure. The possibility of this optimization system for the pattern of chip less RFID label is affirmed. Dr S Hemalatha | R latha | S Mythili "A Novel Colour Image Embedded QR Code Generation Technique for Chip-Less RFID Labelling" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Active Galaxy , June 2018, URL: https://www.ijtsrd.com/papers/ijtsrd14560.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/14560/a-novel-colour-image-embedded-qr-code-generation-technique-for-chipless-rfid-labelling/dr-s-hemalatha
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| A Novel Colour Image Embedded QR Code Generation Technique for Chip Less RFID Labelling | | Author : Dr S Hemalatha | R latha | S Mythili | | Abstract | Full Text | Abstract :In recent years, chip less RFID mark located based on genetic algorithm GA optimization system is used. The genetic algorithm is fit and facility to arrangement a band of frequency domain chippers card like QR display. The resultant card supports an extend 30 mm × 30 mm and reside of lattice limited metallic pieces arranged randomly over a 60 × 60 bit design frame a collection of advanced structured. The frequency signature of the GA based mark is optimized to consistent with an FSK based ciphering process and a magnitude of 8 segments is acquired. The construct of the resultant mark is proven. Optimum mark model made in silver ink, marked down flexible bases, serigraphy, which is a large consistent performance procedure. The possibility of this optimization system for the pattern of chip less RFID label is affirmed. Dr S Hemalatha | R latha | S Mythili "A Novel Colour Image Embedded QR Code Generation Technique for Chip-Less RFID Labelling" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Active Galaxy , June 2018, URL: https://www.ijtsrd.com/papers/ijtsrd14560.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/14560/a-novel-colour-image-embedded-qr-code-generation-technique-for-chipless-rfid-labelling/dr-s-hemalatha
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| A Survey On Online Corporate Job Recruiting Process Using Cloud Computing | | Author : Mrs. S. Shanmugapriya | Mr. Manikandan | S. Karpaga Meenakshi | | Abstract | Full Text | Abstract :This project Online Corporate Job Recruiting process is an online website in which jobseekers can register themselves in online and apply for job. The HR of the companies as well as the employees working in the companies can also register in this website. Online corporate job recruiting process provides online help to the users all over the world. This website also make it possible for recruiters and companies to post their staffing requirements and view profiles of interested candidates. Not only the companies, but also the employees those who are working in the corporate companies can also host the details about the recruitment process that takes place in their companies. This project is aimed at developing a web based and central recruitment Process system for the HR Group for a company. After registering in this website the candidates will get a pop up notification about the recruitments. The additional characteristics of this project is that if a seeking job candidate registered in this website and if their college name is similarly equal to the college name of the registered employees, then they will get a mail immediately by saying that your college mate is seeking job kindly help them. So by this the job seekers can easily get a job. Mrs. S. Shanmugapriya | Mr. Manikandan | S. Karpaga Meenakshi "A Survey On Online Corporate Job Recruiting Process Using Cloud Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Active Galaxy , June 2018, URL: https://www.ijtsrd.com/papers/ijtsrd14561.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/14561/a-survey-on-online-corporate-job-recruiting-process-using-cloud-computing/mrs-s-shanmugapriya
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| An Efficient Method For Text And File Encryption For Secure Data Transmission Through Audio Steganography | | Author : Dr S Hemalatha | Androse | E Sharmili | | Abstract | Full Text | Abstract :Steganography is the skill and learning of script unseen messages in such a mode that apart from the transmitter and envisioned receiver even recognizes there is a unseen message. Steganography works by exchanging bits of unusable or idle data in systematic Audio file with bits of dissimilar, imperceptible information. This unknown material can be plain text or cipher text. In a computer based audio Steganography structure, underground messages are surrounded in numeral sound. The furtive memo is surrounded by marginally moving the twofold order of a sound file. Implanting surreptitious messages in numeral sound is usually a more hard process than inserting messages in other media, such as numeral images. These procedures sort from quite modest algorithms that pullout gen in the form of gesture noise to more dominant methods that feat erudite signal processing techniques to pelt material. Thus the main persistence of this project is to enlighten using Audio Steganography we can direct texts or even transcript files secretly Dr S Hemalatha | Androse | E Sharmili "An Efficient Method For Text And File Encryption For Secure Data Transmission Through Audio Steganography" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Active Galaxy , June 2018, URL: https://www.ijtsrd.com/papers/ijtsrd14562.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/14562/an-efficient-method-for-text-and-file-encryption-for-secure-data-transmission-through-audio-steganography/dr-s-hemalatha
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| An Efficient Method For Text And File Encryption For Secure Data Transmission Through Audio Steganography | | Author : Dr S Hemalatha | Androse | E Sharmili | | Abstract | Full Text | Abstract :Steganography is the skill and learning of script unseen messages in such a mode that apart from the transmitter and envisioned receiver even recognizes there is a unseen message. Steganography works by exchanging bits of unusable or idle data in systematic Audio file with bits of dissimilar, imperceptible information. This unknown material can be plain text or cipher text. In a computer based audio Steganography structure, underground messages are surrounded in numeral sound. The furtive memo is surrounded by marginally moving the twofold order of a sound file. Implanting surreptitious messages in numeral sound is usually a more hard process than inserting messages in other media, such as numeral images. These procedures sort from quite modest algorithms that pullout gen in the form of gesture noise to more dominant methods that feat erudite signal processing techniques to pelt material. Thus the main persistence of this project is to enlighten using Audio Steganography we can direct texts or even transcript files secretly Dr S Hemalatha | Androse | E Sharmili "An Efficient Method For Text And File Encryption For Secure Data Transmission Through Audio Steganography" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Active Galaxy , June 2018, URL: https://www.ijtsrd.com/papers/ijtsrd14562.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/14562/an-efficient-method-for-text-and-file-encryption-for-secure-data-transmission-through-audio-steganography/dr-s-hemalatha
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| Controlling Traffic Signals Through GPS for Ambulance | | Author : Mrs. S. DurgaDevi | Mr. P. Senthil | T. Keerthana | | Abstract | Full Text | Abstract :In today’s world, traffic jams during rush hours is one of the major interest. During surge hours, Emergency vehicles like Ambulances get caught in jams. Due to this, these emergency vehicles are not able to reach their target in time, resulting into a loss of human lives. We have Developed a system which is used to provide clearance to any emergency Ambulance vehicle by Turning all the red lights to green on the path of the emergency vehicle, hence providing a Complete green bay to the desired vehicle. A green bay is the synchronization of the green phase Of traffic signals. With a “green bay” setup, a vehicle transient through a green signal will continue to receive green signals as it travels down the road. Around the world, green bay is used to great effect. In the existing system we don’t have automatic control traffic signal, due to this Emergency ambulance not able to reach the hospital within time. For this system we have implemented effective smart ambulance system by using GPS Technology. This project is Targeted to design and develop a real time smart ambulance system. Mrs. S. DurgaDevi | Mr. P. Senthil | T. Keerthana "Controlling Traffic Signals Through GPS for Ambulance" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Active Galaxy , June 2018, URL: https://www.ijtsrd.com/papers/ijtsrd14563.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/14563/controlling-traffic-signals-through-gps-for-ambulance/mrs-s-durgadevi
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| Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects | | Author : Mihir. M. Jade | | Abstract | Full Text | Abstract :A data driven visualization tool called the College Analysis Dashboard was created to shed light on how higher education institutions are distributed throughout India. This study uses Power BI to construct an interactive dashboard that analyzes colleges, institutions, courses, and student intake capacity. The study entails gathering and preparing educational data from official sources, arranging it for the best possible visualization, and using verification techniques to ensure accuracy. In order to help stakeholders make well informed decisions, the dashboard displays important information such course offers, intake trends, and the distribution of institutions by state and location. Regional discrepancies are highlighted by important studies that show states with higher education institutions do not always have the highest student intake. The findings show that the dashboard is successful in making complicated data easier to understand for students, institutions, and policymakers, which eventually helps with better resource allocation and academic planning. Mihir. M. Jade "Data-Driven Insights for Higher Education: A Power BI-Based College Analysis Dashboard" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78385.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78385/datadriven-insights-for-higher-education-a-power-bibased-college-analysis-dashboard/mihir-m-jade
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| Controlling Traffic Signals Through GPS for Ambulance | | Author : Mrs. S. DurgaDevi | Mr. P. Senthil | T. Keerthana | | Abstract | Full Text | Abstract :In today’s world, traffic jams during rush hours is one of the major interest. During surge hours, Emergency vehicles like Ambulances get caught in jams. Due to this, these emergency vehicles are not able to reach their target in time, resulting into a loss of human lives. We have Developed a system which is used to provide clearance to any emergency Ambulance vehicle by Turning all the red lights to green on the path of the emergency vehicle, hence providing a Complete green bay to the desired vehicle. A green bay is the synchronization of the green phase Of traffic signals. With a “green bay” setup, a vehicle transient through a green signal will continue to receive green signals as it travels down the road. Around the world, green bay is used to great effect. In the existing system we don’t have automatic control traffic signal, due to this Emergency ambulance not able to reach the hospital within time. For this system we have implemented effective smart ambulance system by using GPS Technology. This project is Targeted to design and develop a real time smart ambulance system. Mrs. S. DurgaDevi | Mr. P. Senthil | T. Keerthana "Controlling Traffic Signals Through GPS for Ambulance" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Active Galaxy , June 2018, URL: https://www.ijtsrd.com/papers/ijtsrd14563.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/14563/controlling-traffic-signals-through-gps-for-ambulance/mrs-s-durgadevi
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| Image Tagging With Social Assistance | | Author : D. Dhayalan | M. Queen Mary Vidya | B. Gowri Priya | | Abstract | Full Text | Abstract :Nowadays Social Media focus on users to billions of images, famous e commerce web sites such as Flipkart, Amazon etc. Tag primarily based definitely image are seeking for is an essential method to find photos shared with the aid of manner of clients in social networks. But, a manner to make the top ranked result applicable and with range is difficult. In this paper, we advocate a topic diverse ranking method for tag primarily based photo retrieval with the eye of selling the situation insurance overall performance. First, we bring together a tag graph based totally absolutely at the similarity among every tag. Then network detection approach is accomplished to mine the subject community of every tag. After that, inter community and intra network ranking are added to gather the very last retrieved results. Inside the inter network rating way, an adaptive random stroll model is employed to rank the network primarily based at the multi information of every topic community D. Dhayalan | M. Queen Mary Vidya | B. Gowri Priya "Image Tagging With Social Assistance" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Active Galaxy , June 2018, URL: https://www.ijtsrd.com/papers/ijtsrd14566.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/14566/image-tagging-with-social-assistance/d-dhayalan
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| Cost Based On Product Quality Prediction Using Datamining | | Author : S. Veeramalai | Mr. T. Praveen | S. Pradeepa Natarajan | | Abstract | Full Text | Abstract :In real time problem is the finding the top k profitable product in the existing market. To find in the best product in the market such the new product could not dominate by other product in the market. Authentication and skyline analysis are best decision making applications. In the existing focus the customers to analysis the set of product from a pool of given products. Set of product in the existing market want to identify possible product such that novel product are not dominated by other in market. There are two problem occasion of the finding top k preferable products are studied. In first problem instance to set the cost of these products maximized number of total in income. S. Veeramalai | Mr. T. Praveen | S. Pradeepa Natarajan "Cost Based On Product Quality Prediction Using Datamining" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Active Galaxy , June 2018, URL: https://www.ijtsrd.com/papers/ijtsrd14564.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/14564/cost-based-on-product-quality-prediction-using-datamining/s-veeramalai
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| Integrity Assurance with Minimum Location Disclosure on Mobile Devices by Using Pmac | | Author : Mr. P. Senthil | Mrs. S. DurgaDevi | Bhargavi M. B. | | Abstract | Full Text | Abstract :Since the boom of smart phones and location based services, spatio temporal data i.e., user locations with timestamps have become increasingly essential in many real life applications. To ensure these data are faithfully extracted from the underlying location tracking hardware and not altered by any malicious party or the user himself herself, integrity assurance schemes such as digital signatures or message authentication codes MAC must be adopted. However, these conventional schemes disclose to the verifier the complete plaintext location and thus jeopardize users’ privacy. Propose an integrity assurance scheme with minimum location disclosure. That is, the granule of the disclosed location is just small enough to prove the user is has been to a certain place, and the verifier cannot learn anything beyond it. To this end, a new MAC scheme called Prefix verifiable MAC PMAC , based on which we design indexes and protocols to authenticate both spatial and spatio temporal predicates. Security analysis and experimental results show our scheme is both secure and efficient for practical use. Mr. P. Senthil | Mrs. S. DurgaDevi | Bhargavi M. B. "Integrity Assurance with Minimum Location Disclosure on Mobile Devices by Using Pmac" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Active Galaxy , June 2018, URL: https://www.ijtsrd.com/papers/ijtsrd14567.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/14567/integrity-assurance-with-minimum-location-disclosure-on-mobile-devices-by-using-pmac/mr-p-senthil
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| Online Voting Using Biometric | | Author : Dr. S. Hemalatha | Ms. M. Gowthami | V. Karthi | | Abstract | Full Text | Abstract :The problem of voting system is still critical in terms of safety and security. This paper deals with the web based voting system using fingerprint and Aadhar card in order to provide a high performance with high security to the voting system. The Online voting using system allows the voters login to scan their fingerprint, which is then matched with an already saved image within a database that is retrieved from Aadhar card database to check the voter is eligible or not for casting the vote the verification done by the hall supervisor. The users must login by Aadhar card details based, then the voter login success full, the page will open and shows the candidate details then click on his her favorable candidates to cast their votes. This will increase the voting percentage in India and reduces the cost of contributing the elections. By using biometric fingerprint it provides high level security and reliability of every one. Dr. S. Hemalatha | Ms. M. Gowthami | V. Karthi "Online Voting Using Biometric" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Active Galaxy , June 2018, URL: https://www.ijtsrd.com/papers/ijtsrd14568.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/14568/online-voting-using-biometric/dr-s-hemalatha
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| Evaluating Customer Support Strategies for Maximizing Retention and Engagement | | Author : Yash S. Duratkar | | Abstract | Full Text | Abstract :A key factor in determining client engagement and retention is customer service. For the purpose of maximizing customer pleasure, loyalty, and long term involvement, this study assesses several customer care tactics. Key elements that affect customer retention are identified by the research through an analysis of feedback, support response data, and actual customer interactions. According to the research, omnichannel communication, proactive problem solving, and tailored support all greatly increase client loyalty. Furthermore, integrating predictive analytics with AI powered chatbots has been shown to increase customer satisfaction and response times. Reduced engagement and customer annoyance, however, could result from an over reliance on automation without human intervention. The report also emphasizes how retention rates rise significantly for businesses that have a well organized feedback loop and data driven support enhancements. In the end, these insights help organizations build deeper relationships with their consumers by offering practical suggestions for improving their customer support initiatives. Yash S. Duratkar "Evaluating Customer Support Strategies for Maximizing Retention and Engagement" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78410.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78410/evaluating-customer-support-strategies-for-maximizing-retention-and-engagement/yash-s-duratkar
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| Optimizing End to End Object Detection Models for Real Time Performance in Dynamic Environments | | Author : Rittik B. Sarkar | | Abstract | Full Text | Abstract :This project is about the deployment of a real time object detection system using YOLOv10 You Only Look Once , a top framework for its speed accuracy balance. Object detection is important for many applications, such as autonomous vehicles, security surveillance, and robotics, because it allows machines to understand visual information in a way that is similar to humans. The key goals are real time detection and classification of several objects with accuracy, high speed processing, and ease of graphical interaction. The process includes initialization of the development environment, loading pre trained weights for YOLOv10, reading video input from OpenCV, processing a frame by frame basis for object detection, and visualizing output by putting bounding boxes and labels on recognized objects. Anticipated results are a working system with real time performance and low latency, in addition to observations of the effectiveness of YOLOv10 in real world applications. The project is expected to help advance computer vision and real time object detection technology, demonstrating its potential applications in different industries. Rittik B. Sarkar "Optimizing End-to-End Object Detection Models for Real-Time Performance in Dynamic Environments" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78384.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78384/optimizing-endtoend-object-detection-models-for-realtime-performance-in-dynamic-environments/rittik-b-sarkar
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| Next Gen Assessment Online Proctoring and Survey Methods in Web Based Learning | | Author : Aniket Choudhari | | Abstract | Full Text | Abstract :Confronted by the increased requirement for online education and computer mediated data acquisition, institutions require an integrated system having a web enabled infrastructure which addresses online surveys and also offers proctored tests. Herein lies described the framework as well as integration of an amalgam web enabled portal able to accommodate online questionnaires along with proctored tests. It is attempting to enhance security, scalability, and ease of use as well. Aside from granting secure authentication and real time monitoring to safeguard the integrity of online tests, the solution also features complete survey administration capabilities for data collection and analysis. The technology safeguards against evaluation malpractice through automated fraud detection, facial recognition, and more. It even aids academic and organizational research with the integration of real time analytics and customizable survey tools. Demo tests are also offered in the portal. if their peers had not registered. The document further asserts that their new way of doing remote assessments and surveys has the capability of making them far easier and quicker to master, in addition to making them suitable for research, business training and learning field by utilizing usability testing, performance measuring and users feedback methodologies in analyzing the efficiency of the portal. Results Indicate that the mixed method gives an unbroken user experience, enhances survey effectiveness, and enhances faculty confidence in the reliability of assessment. Aniket Choudhari "Next-Gen Assessment: Online Proctoring and Survey Methods in Web-Based Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78386.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78386/nextgen-assessment-online-proctoring-and-survey-methods-in-webbased-learning/aniket-choudhari
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| IOT Based Smart Metering and Remote Electricity Disconnection Impacts on Consumers and Utilities | | Author : Anuradha Dravekar | | Abstract | Full Text | Abstract :The project introduces an IoT Based Remote Electricity Cut Off System for Non Payers, which uses smart meters, IoT controllers, and cloud based monitoring to enable utility providers to manage power distribution remotely and efficiently. The proposed system uses wireless communication Wi Fi, GSM, or LoRa and microcontroller based relay switching to control the electricity supply. Authorities can track consumer payment status and execute disconnection or reconnection commands with ease thanks to an intuitive web dashboard or mobile application. The growing demand for smart energy management has prompted the adoption of IoT based solutions for real time monitoring and control of electricity distribution. Anuradha Dravekar "IOT Based Smart Metering and Remote Electricity Disconnection: Impacts on Consumers and Utilities" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78387.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78387/iot-based-smart-metering-and-remote-electricity-disconnection-impacts-on-consumers-and-utilities/anuradha-dravekar
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| Speed VS. Accuracy in Real Time Object Detection Exploring Neural Networks for Video and Image Recognition | | Author : Chirag Jain | | Abstract | Full Text | Abstract :In many applications, including autonomous driving, surveillance, and augmented reality, where accuracy and speed are critical, real time object detection is vital. The trade off between speed and accuracy in real time object detection using neural networks for image and video recognition tasks is examined in this research. We examine the performance of cutting edge deep learning models in real time processing, such as convolutional neural networks CNNs , region based CNNs R CNNs , and You Only Look Once YOLO architectures. In order to achieve a balance between computational efficiency and detection precision, the study compares a number of optimization techniques, including model pruning, quantization, and knowledge distillation. Furthermore, taking into account practical limits such as processor power and hardware limitations, we examine how various topologies affect detection speed and accuracy by combining both the architectures together to overcome the drawback of speed and accuracy. Chirag Jain "Speed VS. Accuracy in Real-Time Object Detection: Exploring Neural Networks for Video and Image Recognition" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78400.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78400/speed-vs-accuracy-in-realtime-object-detection-exploring-neural-networks-for-video-and-image-recognition/chirag-jain
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| Predictive Healthcare Analytics Leveraging Technology for Disease Outbreak Detection | | Author : Navneet Rana | | Abstract | Full Text | Abstract :Predictive healthcare analytics is revolutionizing the detection and management of disease outbreaks by utilizing advanced technologies such as artificial intelligence AI , big data, and machine learning ML . This study examines how data driven methodologies facilitate the early detection of possible epidemics, boost public health outcomes, and improve response tactics. In order to predict illness trends and reduce risks, it is essential to integrate electronic health records EHR , real time monitoring systems, and predictive modelling methods. This study investigates the ways in which data analytics aids in monitoring, forecasting, and managing the spread of illnesses. Well examine various data sources, methods for analyzing them, and the difficulties in making good use of this knowledge. Navneet Rana "Predictive Healthcare Analytics: Leveraging Technology for Disease Outbreak Detection" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78388.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78388/predictive-healthcare-analytics-leveraging-technology-for-disease-outbreak-detection/navneet-rana
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| Enhancing Query Resolution in Customer Support Systems Using NLP | | Author : Krutika Tayade | | Abstract | Full Text | Abstract :Natural Language Processing NLP greatly improves query resolution by automating responses and increasing communication effectiveness. Businesses can more efficiently analyze consumer inquiries by utilizing natural language processing NLP techniques along with other machine learning models like Bert and OpenAI. This results in quicker resolutions and higher customer satisfaction. Responses that are more precise and contextually aware are made possible by NLP technologies, which allow algorithms to comprehend and interpret human language. This feature improves the general customer experience and lessens miscommunications .Support systems can adjust to changing user needs thanks to the inclusion of natural language processing NLP , which enables ongoing learning from client interactions. Because technology enables human agents to concentrate on more complicated problems, this flexibility not only maximizes operational efficiency but also significantly reduces costs. Krutika Tayade "Enhancing Query Resolution in Customer Support Systems Using NLP" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78390.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78390/enhancing-query-resolution-in-customer-support-systems-using-nlp/krutika-tayade
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| Depression Detection in Digital Conversations The Power of Natural Language Processing | | Author : Riya Shrirame | | Abstract | Full Text | Abstract :Depression is a common and often untreated mental disorder that many people who may not seek professional help from a doctor or counselor. The application of NLP in detecting depression from digital conversations such as social media posts, online forums, and text based communications is made possible by recent developments in Natural Language Processing NLP . In this paper, we aim to determine the feasibility of using NLP to recognize signs of depression through the identification of linguistic markers and behavioral patterns. To highlight the potential of sentiment analysis, emotion detection, and topic modelling in the detection of early signs of depression, we present a review of the application of NLP on various forms of digital text. In this paper, through case studies and experiments with current NLP models, we show how language use, vocabulary, syntax, and emotional prosody can be used to detect depression with relatively high accuracy. Moreover, the present work discusses the ethical and privacy issues arising from the use of digital text in mental health assessments. Finally, the paper outlines the future perspective of NLP in enhancing depression detection, describing a non invasive, scalable, and timely approach to mental health monitoring that can be used to supplement conventional diagnosis and enhance prevention efforts.The article is to explores the use of Natural Language Processing NLP to detect depression through digital conversations such as social media posts and text based communications. By analyzing linguistic markers, behavioral patterns, sentiment, emotion, and topic modeling, the study demonstrates how NLP can identify early signs of depression with high accuracy. The paper also addresses ethical and privacy concerns related to using digital text for mental health assessments and discusses the future potential of NLP as a non invasive, scalable tool for supplementing traditional diagnosis and enhancing prevention efforts. Riya Shrirame "Depression Detection in Digital Conversations: The Power of Natural Language Processing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78389.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78389/depression-detection-in-digital-conversations-the-power-of-natural-language-processing/riya-shrirame
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| Enhancing Child Safety in School Transport with GPS and Web Technologies | | Author : Pavan Raghuwanshi | | Abstract | Full Text | Abstract :The child monitoring system combines three primary components to improve child protection while enhancing school transport management. The Parental Access module lets parents gain real time tracking details containing their child’s position alongside stop arrival alerts and home school location updates. Timely data from the system gives parents essential information to guarantee their childs safe transportation. The optimized route planning system of the Driver Navigation module uses interconnected geophones to guide drivers securely while collecting students at each stop through their sequential designated routes. Through the Supervisor Management module administrators gain full administrative oversight through two features that let supervisors identify student attendance status and track operational information. As a full stack developer I led the system API design while building its API infrastructure and handled data reliability between different modules before creating React based front end functionality. The systematic implementation of this platform has produced an expandable system which enables effective communication between supervisors and parents and drivers to make school transport more secure and reliable. Pavan Raghuwanshi "Enhancing Child Safety in School Transport with GPS and Web Technologies" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78398.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78398/enhancing-child-safety-in-school-transport-with-gps-and-web-technologies/pavan-raghuwanshi
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| Smart AI Property Finder Revolutionizing Real Estate with Intelligent Recommendations and Data Driven Insights | | Author : Yash Choudhury | | Abstract | Full Text | Abstract :In an era where property hunting can feel overwhelming, Smart AI Property Finder emerges as a transformative solution designed to simplify the real estate experience. By leveraging advanced artificial intelligence, the platform offers personalized property recommendations based on user preferences such as budget, location, and lifestyle needs. This intelligent system continuously learns from user interactions, refining its suggestions to deliver tailored results. Unlike traditional platforms that often bombard users with irrelevant listings, Smart AI Property Finder streamlines the search process, empowering buyers to find properties faster and with greater precision. Beyond just recommendations, the platform enhances the entire property transaction experience. Sellers and agents can create detailed listings enriched with high quality images, immersive virtual tours, and interactive maps, ensuring potential buyers receive comprehensive insights. Innovative tools like smart filters, real time alerts, and neighbourhood insights provide users with a deeper understanding of the market. By blending intuitive design with powerful AI capabilities, Smart AI Property Finder is poised to revolutionize the way individuals search, list, and invest in real estate. Yash Choudhury "Smart AI Property Finder: Revolutionizing Real Estate with Intelligent Recommendations and Data-Driven Insights" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78399.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78399/smart-ai-property-finder-revolutionizing-real-estate-with-intelligent-recommendations-and-datadriven-insights/yash-choudhury
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| Data Driven Insights for Business Growth in Nagpur | | Author : Simran Kukreja | | Abstract | Full Text | Abstract :Smart City Connect is a data driven urban platform that gives businesses real time market information while integrating vital services like maintenance, hospitality, and healthcare. Businesses in Nagpur may improve consumer interaction, optimize services, and spur economic growth by utilizing AI, predictive analytics, and cloud computing. This study investigates how data driven intelligence promotes an urban ecology that is more intelligent and effective. Simran Kukreja "Data-Driven Insights for Business Growth in Nagpur" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78401.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78401/datadriven-insights-for-business-growth-in-nagpur/simran-kukreja
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| Wildfire Prediction and Prevention | | Author : Yash Rajesh Wankhede | | Abstract | Full Text | Abstract :Forest fires and extreme wildfire events pose a major threat to ecosystems worldwide. This paper implements various machine learning algorithms for the prediction of forest fires in Northern Thailand, a region which is severely impacted by fire events and the resulting pollution. Using publicly available satellite data of fires and weather information, two prediction models, namely the Random Forest and Support Vector Machines, were developed and tested for their accuracy in forecasting forest fire occurrences. Initial results indicate that both models have an accuracy of approximately 60 in predicting forest fires. The real time prediction data based on current weather conditions is further displayed in a dashboard. The online dashboard has been integrated with Project FIREfly which is a collaboration with Chiang Mai University and the University of Glasgow to visualize real time data of forest fires. Through the integration of the predictive models, the online dashboard is able to show the probability of forest fires which improves situational awareness for emergency response services and enables them to take proactive measures in managing forest fires. Yash Rajesh Wankhede "Wildfire Prediction and Prevention" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78402.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78402/wildfire-prediction-and-prevention/yash-rajesh-wankhede
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| Credence GPS Tracking Harnessing AI and IoT for Next Generation Real Time Location Monitoring | | Author : Gagan Raghuwanshi | | Abstract | Full Text | Abstract :In an era where real time monitoring and safety are paramount, GPS tracking solutions have become indispensable across various industries. Vehicle GPS Tracking offers a comprehensive tracking system that caters to diverse needs, including student transportation tracking, vehicle fleet management, bike and car tracking, and truck logistics monitoring. Our system integrates advanced geofencing technology, live tracking, and automated alerts, ensuring enhanced security and efficiency. Additionally, features such as vehicle maintenance reminders, ignition status monitoring, and trip history analysis provide users with actionable insights to optimize operations. By leveraging cutting edge GPS technology, Vehicle GPS Tracking not only enhances asset security but also improves overall fleet performance, reduces operational costs, and ensures compliance with safety regulations. This paper explores the architecture, functionality, and benefits of our GPS tracking solution, highlighting its impact on transportation, logistics, and personal security. Gagan Raghuwanshi "Credence GPS Tracking: Harnessing AI and IoT for Next-Generation Real-Time Location Monitoring" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78404.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78404/credence-gps-tracking-harnessing-ai-and-iot-for-nextgeneration-realtime-location-monitoring/gagan-raghuwanshi
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| Workforce Engagement Analytics for Office Dynamics | | Author : Kunika Pantawane | | Abstract | Full Text | Abstract :Workforce engagement plays a pivotal part in forming office elements and organizational efficiency. The integration of progressed analytics procedures in checking and progressing workforce engagement has gotten to be progressively imperative for organizations endeavoring for tall execution and advancement. This paper investigates the utilize of workforce engagement analytics to optimize office flow by measuring key markers of worker fulfilment satisfaction fulfilment, communication, collaboration, and in general resolve. The think about highlights different data driven techniques, counting estimation examination, real time input components, and prescient modeling, to cultivate an locked in workforce. By recognizing designs and patterns inside worker behavior and engagement, organizations can proactively address challenges, improve work environment culture, and boost in general efficiency. Besides, the paper examines the potential challenges of actualizing workforce analytics, counting information security concerns, moral contemplations, and the require for authority buy in. Eventually, the paper advocates for a key, evidence based approach to workforce engagement analytics as a instrument for progressing office flow and driving organizational victory. Kunika Pantawane "Workforce Engagement Analytics for Office Dynamics" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78405.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78405/workforce-engagement-analytics-for-office-dynamics/kunika-pantawane
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| Machine Learning for Tax Optimization Analyzing Chargeable Income and Property Tax | | Author : Ritika S. Kedar | | Abstract | Full Text | Abstract :Tax optimization is important in financial planning and policy making helping to secure revenue collection and economic growth. To categorize taxable entities and predict tax collections, the analysis uses machine learning models like Decision Tree Classifiers and Regressors together with statistical techniques like correlation analysis and feature engineering. Information designs, deviations, and patterns can be recognized utilizing visualization instruments such as warm and center thickness gauges KDE . The comes about appear noteworthy contrasts within the conveyance of Charactive salary, centering on the effect of charge arrangement and financial alter. Changes in property tax also show that different types of properties contribute different amounts of income, hence the need for data driven tax initiatives. This result shows that Machine learning can improve tax calculation, tax predictions, provide insights for better revenue forecasting, tax policy optimization decision making and provide personalized tax recommendations. This research also focuses on how artificial intelligence can make tax planning more efficient and exact in Singapore’s evolving tax system. Ritika S. Kedar "Machine Learning for Tax Optimization: Analyzing Chargeable Income and Property Tax" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78406.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78406/machine-learning-for-tax-optimization-analyzing-chargeable-income-and-property-tax/ritika-s-kedar
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| The Open Source Kitchen Collaborative Innovation in Culinary Arts using React | | Author : Prachit J. Kadu | | Abstract | Full Text | Abstract :The way we share and create recipes is undergoing a major shift, thanks to the open source model. This paper looks at how community driven recipe platforms are changing the way we think about cooking and creativity in the kitchen. Unlike traditional cooking sites, which are often dominated by ads or behind paywalls, open source platforms give everyone the opportunity to contribute, adjust, and improve recipes. This open exchange creates a rich, ever growing collection of culinary ideas that anyone can tap into, from beginners to seasoned chefs.In this study, we dive into how these platforms work by looking at a few popular examples. We explore how they bring people together, whether it’s to share tips, try new recipes, or swap cooking techniques from different cultures. By making recipe sharing open and collaborative, these platforms break down traditional barriers to creativity in the kitchen. They allow cooks of all levels to contribute their own ideas, learn new skills, and experiment with flavors without worrying about restrictions.We also take a closer look at how the community plays a role in ensuring recipes are accurate, helpful, and up to date. Feedback from users helps us to run the platform smoothly and also it keep platform more reliable source culinary enthusiasts. This paper concludes by suggesting how these platforms could evolve to better support creativity and learning, further opening up the kitchen to everyone, no matter their background or experience level. Prachit J. Kadu "The Open Source Kitchen: Collaborative Innovation in Culinary Arts using React" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78407.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78407/the-open-source-kitchen-collaborative-innovation-in-culinary-arts-using-react/prachit-j-kadu
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| Fusion Meet A Next Gen Video Conferencing Platform | | Author : Akshay. S. Khobragade | | Abstract | Full Text | Abstract :Fusion Meet is a video conferencing technology that enables safe and low latency communication, transforming remote collaboration. Fusion Meet uses cutting edge technologies like WebRTC and Socket.IO to provide high quality video, audio, and text communication in real time. The platform was designed to overcome typical difficulties in traditional video conferencing systems, such as network latency, scalability, and security risks. Fusion Meet guarantees seamless interaction among users by combining modern JavaScript frameworks with fast server side protocols. It also includes capabilities like as screen sharing, real time chat, and multi user management. Experimental studies have proved its capabilities to maintain high performance under various network conditions, giving it a viable option to existing This research synopsis details the comprehensive design, development, and testing methodologies employed in the creation of Fusion Meet, highlighting its potential to transform virtual communication in both professional and educational settings. The paper further discusses the system architecture, data flow mechanisms, and performance metrics, providing a foundation for future enhancements and integration of emerging technologies. Akshay. S. Khobragade "Fusion Meet: A Next Gen Video Conferencing Platform" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78408.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78408/fusion-meet-a-next-gen-video-conferencing-platform/akshay-s-khobragade
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| Smart Solution for Sourcing Freelancer and Remote it Opportunities using ML | | Author : Tanvi A. Kedar | | Abstract | Full Text | Abstract :As demand for remote and flexible IT professionals has risen, so too has the requirement for an intelligent sourcing solution. In this paper I would like to introduce new smart solutions based on AI, ML and blockchain which will help in providing connections with the freelancers instead of jobs in remote it. These decentralized verification processes can be automated while guaranteeing secure transactions, allowing for the enhancement of the proposed system jobs match. Experimental validation shows that the accuracy of talent job matching was significantly improved, hiring time was reduced, and trust between clients and freelancers was enhanced. This smart solution can offer valuable prospects to freelance IT recruitment studies, decreasing. Tanvi A. Kedar "Smart Solution for Sourcing Freelancer and Remote it Opportunities using ML" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78413.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78413/smart-solution-for-sourcing-freelancer-and-remote-it-opportunities-using-ml/tanvi-a-kedar
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| Environmental and Economic Synergy Model for Sustainable Product | | Author : Ayushi Hatekar | | Abstract | Full Text | Abstract :Growth in business needs to be sustainable and that calls for incorporation of economic growth and environmental protection simultaneously. The Planetary Plus model International Business provides full fledged structure which promotes Environmental and Economic Synergy Model EESM making it possible to do business over the years without harming the environment. This research attempts to explain how companies can implement the Planetary Plus model EESM by integrating profitability and sustanability through innovative ideas, efficient use of resources, and good management. This paper uses case studies and best practices from different industries to show how firms can apply principles of circular economy, carbon neutrality, and green investment without losing revenue. It has been shown that business approaches focused on enhancing the company’s sustainability resilience while strengthening competitive advantage and stability of the global economy require an urgent systemic transformation towards sustainability. This paper adds to the growing literature on sustainable entrepreneurship by offering directions for action to policymakers and business leaders who wish to find the right balance between economic growth and environmental protection. Ayushi Hatekar "Environmental and Economic Synergy Model for Sustainable Product" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78409.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78409/environmental-and-economic-synergy-model-for-sustainable-product/ayushi-hatekar
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| COVID 19 and the Impact on Finance An Interactive Analysis and Computational Approach using Python | | Author : Vinit Deshpande | | Abstract | Full Text | Abstract :The COVID 19 pandemic has caused never before disruptions in global economies, with India facing difficulties in its financial domain and economic landscape. The purpose of this research study is to estimate the long term impact of the pandemic on Indias financial sector, including major areas of economic growth, banking, market performance, and government policies. Based on an in depth examination of GDP patterns, unemployment, inflation, and sectoral growth, this paper identifies both the short term and long term effects of COVID 19 on Indias economy. The paper also assesses the efficiency of government measures, such as fiscal stimulus, monetary policy, and regulatory changes, in cushioning the economic impact. In addition, it also analyze the steps taken towards digital finance, consumer behaviour changes, and the strength of financial institutions in a post pandemic setting. The report indicates that although Indias financial system is heading towards recovery, long term structural reforms are needed to achieve long term stability and growth. The paper ends by presenting policy suggestions to improve Indias financial infrastructure, make the economy resilient, and be ready for any future global economic crises. The report recognizes both short term disturbances and long term structural shifts in Indias financial landscape. Although some sectors like agriculture and technology have remained resilient, others like hospitality and retail remain severely stressed. The report ends by calling for sweeping reforms in banking, digital finance, and fiscal policy to provide Indias financial system with sustainable growth and resilience. Vinit Deshpande "COVID-19 and the Impact on Finance: An Interactive Analysis and Computational Approach using Python" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78412.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78412/covid19-and-the-impact-on-finance-an-interactive-analysis-and-computational-approach-using-python/vinit-deshpande
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| ShopSico Bridging Gap for the Users with Disabilities in E commerce using ML | | Author : Shrawani Shirpurkar | | Abstract | Full Text | Abstract :E commerce platforms have revolutionized online shopping, providing businesses with seamless ways to manage digital storefronts. Shopsico, is a modern theme for OpenCart framework, it offers an optimized and featured solution for online stores. This research explores the advantages of using Shopsico within the OpenCart ecosystem platform, its impacts on user experience, accessibility, and its potential for the business growth. Shopsico is a crucial aspect of modern e commerce for ensuring compliance with accessibility standards such as the Americans with Disabilities Act ADA . Shopsico integrates accessibility friendly design principles, ensuring that every individual with disabilities can navigate and interact with online store more effectively and efficiently. Features like high contrast modes, keyboard navigation, screen reader compatibility, and adjustable screen sizes will help improve usability for disabled and normal customers. Additionally, the theme adheres to Web Content Accessibility Guidelines WCAG , ensuring an inclusive shopping experience with Shopsico for individuals with visual, auditory and motor impairments. By prioritizing accessibility, Shopsico enhances the user engagement, boosts the customer satisfaction and expands the market reach. This paper evaluates the theme’s accessibility featuresand its compliance with ADA regulations. It also focus on how business can leverage these functionalities to create more inclusive e commerce platforms. Shrawani Shirpurkar "ShopSico: Bridging Gap for the Users with Disabilities in E-commerce using ML" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78414.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78414/shopsico-bridging-gap-for-the-users-with-disabilities-in-ecommerce-using-ml/shrawani-shirpurkar
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| Transforming Resume Writing with AI The Future of Automated Resume Builders | | Author : Jawahar Jayan | | Abstract | Full Text | Abstract :In the current competitive job market, an optimized and well formatted resume is essential to gain employment opportunities. Conventional methods of resume building take a lot of time and effort, and manual formatting and content optimization are difficult for job seekers. This study introduces an AI based Resume Builder, an intelligent system that can automate resume building, increase personalization, and optimize content through artificial intelligence methods. The system utilizes natural language processing NLP , machine learning algorithms, and rule based formatting to create professional, customized resumes from user inputs. Through the analysis of job descriptions and industry specific keywords, the AI based tool ensures ATS compliance, enhancing the chances of selection. The paper delves into the development, execution, and efficiency analysis of the projected AI Resume Builder in relation to conventional resume formulation practices. Experimental results identify the feasibility of the system for producing precise, formatted, and ATS gradable resumes in the process of simplifying and shrinking manual resume construction timeframes. Implications are presented stating that resume building using AI techniques can transform job applications into improved employability prospects for candidates, offering optimized and efficient resume generation. Jawahar Jayan "Transforming Resume Writing with AI: The Future of Automated Resume Builders" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78418.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78418/transforming-resume-writing-with-ai-the-future-of-automated-resume-builders/jawahar-jayan
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| Optimizing Automated Communication Systems for Scalability | | Author : Vaishnavi Charde | | Abstract | Full Text | Abstract :Effective communication workflow automation is crucial for enhancing operational efficiency and scalability in modern digital ecosystems. This paper explores optimization strategies that improve the performance and reliability of automated communication systems. We analyze key challenges, including latency, system bottlenecks, and resource allocation, and propose solutions leveraging AI driven automation, cloud computing, and adaptive load balancing techniques. The study evaluates the impact of these strategies on scalability and performance, demonstrating how organizations can achieve seamless, high speed, and cost effective communication workflows. The findings provide a robust framework for designing resilient and scalable automation systems tailored to dynamic business environments. By leveraging AI driven automation, cloud based infrastructure, and intelligent load balancing, we propose a robust framework that ensures seamless, high speed, and adaptive communication workflows. This is a research oriented abstract that maintains technical depth and clarity. If you want to highlight any specific use case, tool, or framework. This is a highly effective and fast working method. Optimizing Communication Workflow Automation ensures enables that emails reach multiple recipients quickly and offers many other great valuable benefits. Vaishnavi Charde "Optimizing Automated Communication Systems for Scalability" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78419.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78419/optimizing-automated-communication-systems-for-scalability/vaishnavi-charde
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| Revolutionizing Agriculture A Smart Farming System using IoT and AI for Precision Agriculture and Sustainable Growth | | Author : Sakshi Walde | | Abstract | Full Text | Abstract :The combination of Artificial Intelligence AI and the Internet of Things IoT is revolutionizing agriculture through the use of data driven decision making, precision farming, and efficiency in resource use. This research introduces a future generation Smart Farming System with the integration of IoT based real time monitoring and AI based analytics to maximize crop yield, detect diseases, and manage resources. Some of our key findings are AI Enhanced Soil Health Monitoring A new IoT based soil sensor network integrated with machine learning models enhances the accuracy of soil nutrient assessments by 92 , enabling improved crop choice and fertilization decisions. Early Pest and Disease Detection A combination of a deep learning model CNN Transformer analyzes high resolution drone and IoT camera images, identifying crop diseases and pest outbreaks 30 sooner than manual scouting. Automated Precision Irrigation System With real time IoT sensor data and a reinforcement learning based irrigation model, water usage decreases by 35 while maintaining healthy crop growth through effective resource utilization. Intelligent Weather Forecasting and Yield Prediction A hybrid AI system LSTMs Random Forest enhances crop yield prediction accuracy by 20 , allowing farmers to make better decisions on planting and harvesting dates. Sakshi Walde "Revolutionizing Agriculture: A Smart Farming System using IoT and AI for Precision Agriculture and Sustainable Growth" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78420.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78420/revolutionizing-agriculture-a-smart-farming-system-using-iot-and-ai-for-precision-agriculture-and-sustainable-growth/sakshi-walde
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| AI Based Neurophysiological Signal Analysis A New Era in Depression Diagnosis | | Author : Vanshika Dhoble | | Abstract | Full Text | Abstract :This study suggests using electroencephalography EEG in conjunction with a convolutional neural network CNN model to detect major depressive disorder MDD . In the suggested approach, a CNN model trained to identify the distinctive EEG signs of sadness processed EEG data images with brain activity patterns linked to MDD. Early detection and intervention are made easier by the CNN models output, which indicates the existence and severity of MDD. This method has the potential to completely change the diagnosis of depression by offering a quicker, more objective, and more accessible way to detect people who are at risk of developing major depressive disorder MDD . This would improve patient outcomes and lessen the burden of this looming condition on society. Vanshika Dhoble "AI-Based Neurophysiological Signal Analysis: A New Era in Depression Diagnosis" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78421.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78421/aibased-neurophysiological-signal-analysis-a-new-era-in-depression-diagnosis/vanshika-dhoble
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| A Data Driven Strategy for Astute Investing and Economic Development | | Author : Shrushti S. Bangre | | Abstract | Full Text | Abstract :This study investigates the use of data driven techniques to drive investment decision making and economic growth. This study is geared towards the use of big data analytics, machine learning, and financial modeling to forecast market trends, reduce risk, and maximize investment portfolios. The method includes gathering macroeconomic signals, stock market directions, and behavioral finance information to create forecasting models. The expected outcomes are more efficient investment, enhanced resource allocation, and long term economic growth. This research seeks to fill the research gap between conventional financial theories and current data oriented methods, delivering an integrated framework for policymakers, investors, and financial analysts.The expected outcomes reveal dramatic advances in investment precision, risk adjusted performance, and market stability. Predictive models should maximize decision making effectiveness by pinpointing profitable investment bets while keeping downside risks at a low level. The research also reveals the difficulty in data quality, computational complexity, and regulatory limitations for financial applications. The conclusions of this study offer insightful suggestions regarding the future of finance driven by data, and more research is needed in AI based investment strategies, economic forecasting, and policy making. The gaps between conventional financial theories and state of the art technological tools are filled by this research to make financial systems stronger and smarter. Shrushti S. Bangre "A Data-Driven Strategy for Astute Investing and Economic Development" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78422.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78422/a-datadriven-strategy-for-astute-investing-and-economic-development/shrushti-s-bangre
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| Machine Learning Approaches for Personalized Dietary Recommendations | | Author : Akanksha Meghal | | Abstract | Full Text | Abstract :With the increasing demand for personalized nutrition, machine learning ML has emerged as a key technology in developing intelligent dietary recommendation systems. In this paper, we discuss various ML methods, from supervised and unsupervised learning to deep learning and reinforcement learning, for personalized dietary suggestion based on an individuals health profile, lifestyle, and preferences. Integrating gut microbiome analysis and machine learning for personalized recommendation models really outdoes conventional dietary assessment tools in predicting individual metabolic responses. Integrating gut microbiome analysis and machine learning for personalized recommendation models really outdoes conventional dietary assessment tools in predicting individual metabolic responses. Furthermore, hybrid models that are composed of rules coupled with the data driven insights of hybrid AI have the propensity to make personalized meal planning highly effective. Significant issues for future investigation remain related to data privacy, model interpretability, and real time adaptability of recommendations. In short, this research can pave the way for the usage of machine learning in transforming the recommendations concerning diet toward scalable, inexpensive, and healthier nutritional planning for everyone. Akanksha Meghal "Machine Learning Approaches for Personalized Dietary Recommendations" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78423.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78423/machine-learning-approaches-for-personalized-dietary-recommendations/akanksha-meghal
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| The Role of Social Media in Fashion Trend Prediction A Machine Learning Approach | | Author : Utkarsh Parate | | Abstract | Full Text | Abstract :Trends in fashion are rapidly changing consumer preferences, cultural shifts, and digital relationships. Instagram, Twitter, and TikTok serve as the primary platforms driving and disseminating fashion trends, filled with vast real time data on user engagements, brand influence, and current trends. This study investigates the impact of social media in predicting fashion trends using machine learning techniques. .Using Natural Language Processing NLP and image recognition techniques, data on everything fashion that is accessible on social media are gathered and examined. These include sentiment analysis, tracking of hashtags, and assessing the impact of influencers to determine the trending styles. A predictive model is created using machine learning algorithms. The results find that social media data, if successfully processed, can give accurate and timely prediction about fashion trends. AI driven analytical tools, therefore, have the potential to assist fashion brands, retailers, and designers in making data informed decisions. The research thus adds to the growing field of fashion technology by bringing machine learning and digital trend analysis together to provide an opening for automated and scalable fashion forecasting solutions. Utkarsh Parate "The Role of Social Media in Fashion Trend Prediction: A Machine Learning Approach" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78424.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78424/the-role-of-social-media-in-fashion-trend-prediction-a-machine-learning-approach/utkarsh-parate
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| Scalability and Customization in White Label Website Software A Game Changer for Reseller Models | | Author : Yashashri Surkar | | Abstract | Full Text | Abstract :This paper explores the development and implementation of White Label Website Software, a fully customizable and scalable web based solution designed for resellers. The software enables businesses to create their own branded platforms, manage clients, and offer digital services without developing a website from scratch. In the digital age, businesses increasingly rely on online platforms to offer services under their branding. A White Label Website with a Reseller Panel and Bulk WhatsApp Messaging System provides a scalable solution for businesses to resell digital services while maintaining brand identity. This research paper explores the architecture, benefits, challenges, and implementation of such a system. It highlights the importance of automation, marketing, and customer engagement using WhatsApp as a communication channel. The research focuses on the technical architecture, frontend and backend development, database management, security protocols, and performance optimization of the system. The study also discusses challenges in white label solutions, security concerns, and potential enhancements for improved scalability and automation. Yashashri Surkar "Scalability and Customization in White Label Website Software: A Game-Changer for Reseller Models" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78427.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78427/scalability-and-customization-in-white-label-website-software-a-gamechanger-for-reseller-models/yashashri-surkar
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| Automated Brain Tumor Detection and Segmentation | | Author : Pranay Sahadeo Sathawane | | Abstract | Full Text | Abstract :Effective treatment planning and early diagnosis depend on the detection and classification of brain tumors. The ability of Convolutional Neural Networks CNNs to automatically extract pertinent information from images has made them extremely effective in medical image analysis in recent years. In this work, a CNN based technique for classifying and detecting brain cancers from MRI data is presented. The suggested model classifies cancers into various categories, such as gliomas, meningiomas, and pituitary tumors, and accurately detects their presence using a deep learning framework. Preprocessing MRI images, training the CNN model on a large dataset of labeled brain scans, and evaluating the models performance using metrics like accuracy, sensitivity, and specificity are all part of the process. Experimental findings demonstrate how well the suggested approach detects and classifies brain tumors with high accuracy and dependability, making it a useful tool to aid radiologists in clinical decision making. Pranay Sahadeo Sathawane "Automated Brain Tumor Detection and Segmentation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78436.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78436/automated-brain-tumor-detection-and-segmentation/pranay-sahadeo-sathawane
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| Enhancing Social Connectivity through Real Time Interaction A Study on the Echoverse Platform | | Author : Jayesh Akarte | | Abstract | Full Text | Abstract :Social media platforms have emerged as essential instruments for nurturing communities and amplifying digital interaction. This research delves into Echoverse, a cutting edge mobile application crafted with Flutter and Firebase, aimed at fortifying social bonds through swift communication and vibrant exchanges 1 . Our analysis reveals that Echoverse adeptly manages 1,000 simultaneous users, boasts a 95 success rate for user actions, and sustains approximately 90 user satisfaction. By employing Android emulators and a blend of simulated and authentic data, we showcase the app’s sturdy performance and its capacity to foster a variety of online engagements. Moreover, Echoverse overcomes the hurdle of connecting people across regions by reducing delays, even under heavy traffic conditions. This study advances social technology by illustrating how Echoverse can transform the landscape of digital community formation. Jayesh Akarte "Enhancing Social Connectivity through Real-Time Interaction: A Study on the Echoverse Platform" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78434.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78434/enhancing-social-connectivity-through-realtime-interaction-a-study-on-the-echoverse-platform/jayesh-akarte
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| Real Time Collaborative Debugging and Code Review Tools with Websockets | | Author : Dhiraj D. Mandal | | Abstract | Full Text | Abstract :Since traditional debugging and code review processes are frequently asynchronous, resulting in delays in issue resolution and ineffective collaboration, real time collaborative debugging and code review tools have become crucial for increasing productivity, decreasing development cycles, and improving code quality in the age of remote work and distributed software development Booch and Brown, 2003 1 . This study investigates the design and implementation of real time collaborative debugging and code review tools that allow multiple developers to analyze, modify, and debug code simultaneously. To improve the development process, the suggested solution incorporates real time communication tools, interactive annotations, synchronized debugging, live code sharing, and inline comments Cubranic and Storey, 2005 2 . The debugging environment is intelligent, interactive, and efficient thanks to technologies like WebSockets for live synchronization, WebRTC for peer to peer communication, and AI powered code analysis for automated debugging advice WebRTC, 2018 10 . Using user research and empirical analysis, the study also assesses how real time collaboration affects code quality, team coordination, and software development efficiency. Dhiraj D. Mandal "Real-Time Collaborative Debugging and Code Review Tools with Websockets" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78428.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78428/realtime-collaborative-debugging-and-code-review-tools-with-websockets/dhiraj-d-mandal
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| A Hybrid Approach to Restaurant Recommendation using Geo Location and User Reviews | | Author : Himanshu S. Bijwar | | Abstract | Full Text | Abstract :A Hybrid Approach to Restaurant Recommendation Using Geo Location and User Reviews it will be the abundance of restaurant selections in the digital age makes it even more difficult to choose the best dining experience. In this work, a hybrid restaurant recommendation system that integrates user review analytics and geolocation data is presented. The suggested method provides context aware, tailored suggestions by combining collaborative filtering based on sentiment analysis of user reviews with a content based filtering technique that makes use of restaurant parameters like cuisine type, price, and location. Real time relevance is ensured by dynamically modifying recommendations depending on a users current location and travel restrictions using geolocation data. When tested on a variety of real world datasets, the hybrid model outperforms conventional recommendation techniques in terms of accuracy, user satisfaction, and computing efficiency. By emphasizing the advantages of combining location data with qualitative user feedback for improved decision support in restaurant selection, this work advances the field of intelligent systems. Himanshu S. Bijwar "A Hybrid Approach to Restaurant Recommendation using Geo-Location and User Reviews" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78429.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78429/a-hybrid-approach-to-restaurant-recommendation-using-geolocation-and-user-reviews/himanshu-s-bijwar
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| The Future of Education ERP AI, Blockchain, and Cloud Computing Integration | | Author : Shubhangi Meshram | | Abstract | Full Text | Abstract :The evolution of Education ERP systems is driven by AI, Blockchain, and Cloud Computing, transforming academic administration, data security, and student engagement. Blockchain enhances credential verification, reducing fraud by 35 , while decentralized storage ensures tamper proof records. Cloud based ERP lowers IT costs by 50 , improving accessibility for smaller institutions. However, data privacy, integration challenges, and faculty adaptation remain key adoption barriers. AI powered ERP systems have led to a 40 improvement in administrative efficiency by automating routine tasks such as student enrollment, attendance tracking, and performance analytics. Additionally, predictive analytics in AI driven ERP platforms have enhanced student retention rates by 25 , enabling early identification of at risk students. It re evaluates organizational structures and speeds up decision making processes through AI driven insights.Using a multidisciplinary approach, the study reveals diverse applications across industries, identifies key value propositions, and highlights practical implications. It also outlines meaningful avenues for future research, emphasizing the transformative impact of these technologies. Shubhangi Meshram "The Future of Education ERP: AI, Blockchain, and Cloud Computing Integration" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78437.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78437/the-future-of-education-erp-ai-blockchain-and-cloud-computing-integration/shubhangi-meshram
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| Kissanmart Empowering Agriculture Through AI and Machine Learning | | Author : Sarang O. Harode | | Abstract | Full Text | Abstract :Agriculture is an essential industry for world economies, but farmers often face restricted market access, price manipulation, and value chain inefficiencies. Conventional agriculture trade is largely dependent on intermediaries that, in turn, provide lower margins and poor price transparency. This scenario is being changed by digital innovation that allows direct links between markets and farmers, promoting equitable pricing, better logistics, and more economic opportunities. In this research, the case of Kissanmart is studied, a digital platform conceived to fill the gap between marketplaces and farmers by utilizing tech enabled solutions including mobile platforms, digital payments, and real time market information. Kissanmart empowers the farmer by avoiding middlemen, providing competitive rates, and helping farmers, consumers, retailers, and wholesalers exchange goods seamlessly. The platform reduces supply chain wastage, achieves financial inclusion, and helps foster rural economic development. By employing a mixed method research design, integrating surveys, case studies, and interviews with farmers and industry specialists, this research measures the performance of Kissanmart in facilitating market accessibility, improving farmer income, and encouraging sustainable trade in agriculture. The results identify the favorable economic contribution of online marketplaces while resolving primary challenges such as digital literacy, infrastructure constraints, and platform acceptance barriers. The study concludes that Kissanmart is a revolutionary model of digital agriculture, promoting farmer empowerment, market efficiency, and sustainable agricultural development. Sarang O. Harode "Kissanmart: Empowering Agriculture Through AI & Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78438.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78438/kissanmart-empowering-agriculture-through-ai-and-machine-learning/sarang-o-harode
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| Super Intelligent Weather Forecasting Leveraging Deep Learning for Enhanced Predictive Accuracy Using AIandML | | Author : Rimanshu J. Ambade | | Abstract | Full Text | Abstract :Weather forecasting unleashing the power of AI, machine learning, and data science. Before AI, weather forecasting was done by numerical weather forecast models. These models are based on physics based equations and are used to simulate atmospheric processes and generate forecasts.Artificial Intelligence AI is a rapidly emerging field within computer technology, with the potential to significantly alter facets of society as we know it. AI methods, applied to the data in automatic fashion, identify and mine complex and intricate relationships between this unstructured and heterogeneous data without calling upon a clear analytical handling of these relationships. These AI methods are essential to understand the exponentially accelerating data flood and to react to the tougher new.Machine Learning ML is a new area introduced and applied in the area of atmospheric science. Weather information is calculated by ML, under the support and accessible data of the relative predictors. Consolidated ML and predictive modelling results from which we can derive more concrete data results on how ML enhances the physically grounded models.As the weather data is nonlinear and follows a very irregular pattern, Artificial Neural Network ANN has turned out to be a better technique to induce the structural relationship between the various entities. The paper explores the Artificial Neural Network ANN approach by developing efficient and accurately 365 days’ maximum, temperature prediction model for weather analysis and also compares and evaluate the performance of the developed models using different transfer functions, hidden layers and neurons. Rimanshu J. Ambade "Super Intelligent Weather Forecasting: Leveraging Deep Learning for Enhanced Predictive Accuracy (Using AI&ML)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78439.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78439/super-intelligent-weather-forecasting-leveraging-deep-learning-for-enhanced-predictive-accuracy-using-aiandml/rimanshu-j-ambade
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| Revolutionizing Real Estate A Web Based Property Dealing Platform for Brokers | | Author : Shruti Hiralal Kalambe | | Abstract | Full Text | Abstract :Web based platforms are essential in expediting real estate transactions as the real estate sector undergoes a digital revolution. A web based platform called True Square Feet is presented in this paper. Its purpose is to increase brokers efficiency when purchasing, selling, and renting real estate. The platform ensures smooth property listings and client interactions by integrating contemporary technologies like SQL for safe data management .NET for backend processing, and React for dynamic user interface. 1 Our research focuses on the issues that brokers experience in traditional real estate transactions, such as manual data administration, a lack of real time property analytics, and inefficient communication routes. Using a comparative analysis, we show how the proposed platform overcomes these challenges by providing automatic property matching, AI driven price estimation, safe online transactions, and an intuitive broker dashboard. Furthermore, new user testing results show a 40 reduction in transaction processing time and a 60 increase in broker client interaction compared to previous approaches. The study finds that using web based solutions in real estate brokerage not only increases operational efficiency but also improves the entire client experience. Future upgrades include blockchain for safe contracts, machine learning for predicting market trends, and AR VR for virtual property tours, which will further revolutionize real estate transactions. Keywords real estate, property dealing, web application, brokers, digital transformation, artificial intelligence in real estate, smart transactions. Shruti Hiralal Kalambe "Revolutionizing Real Estate: A Web-Based Property Dealing Platform for Brokers" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78441.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78441/revolutionizing-real-estate-a-webbased-property-dealing-platform-for-brokers/shruti-hiralal-kalambe
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| Web Harvesting Using Generative AI for Structured Data Extraction | | Author : Ashwin V. Nikhar | | Abstract | Full Text | Abstract :Web data extraction is essential across numerous industries, but conventional scrapers are usually inadequate against dynamic webpages, content rendered by JavaScript, and bot protection. The current paper proposes an adaptive web harvesting system using generative AI for structured data extraction in a changing online ecosystem. Our system combines large language models OpenAI GPT, Groq, Google Generative AI with high level automation software Selenium with ChromeDriver and ChromeDriver to interpret and adapt to sophisticated webpage layouts dynamically. Our system combines AI based parsing with traditional libraries like BeautifulSoup4, html2text, and readability lxml and infers HTML content and re reconstructs obscured elements based on diffusion models. Data processing becomes efficient with the use of Pandas, Pydantic, and openpyxl, whereas python dotenv provides strong environment management. Also, reinforcement learning agents are used to mimic human like interactions that optimize navigation as well as retrieval of data. An easy to use interface with Streamlit and streamlit tags offers real time data visualization as well as user feedback. Experimental tests on a variety of sites show that our AI based strategy far surpasses conventional scraping practices in adaptability, precision, and velocity while also meeting ethical and legal constraints in data extraction. This paper provides the foundation for future proof web harvesting utilities that are efficient and scalable. Ashwin V. Nikhar "Web Harvesting: Using Generative AI for Structured Data Extraction" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78442.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78442/web-harvesting-using-generative-ai-for-structured-data-extraction/ashwin-v-nikhar
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| HexaBuddy Nursing Care Integrating Smart Technology for Enhanced Elderly Healthcare and Well Being | | Author : Dhiraj Dewalkar | | Abstract | Full Text | Abstract :Aging is inevitable in life and raises several social and physical problems. The increasing elderly population requires specific healthcare services to provide a good and healthy life. Offering complete nursing services, Hexabuddy Nursing Care is a modern approach combining tailored care with cutting edge technologies. The main focus of this paper is on the implementation of Hexabuddy, an artificial intelligence enabled nursing assistant for elder care, stressing its efficiency, adaptability, and general consequences on the healthcare system. This work evaluates its elements, implementation, and performance criteria using practical testing. Dhiraj Dewalkar "HexaBuddy Nursing Care: Integrating Smart Technology for Enhanced Elderly Healthcare and Well-Being" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78443.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78443/hexabuddy-nursing-care-integrating-smart-technology-for-enhanced-elderly-healthcare-and-wellbeing/dhiraj-dewalkar
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| IoT Based Traffic Congestion Analysis Smart Solutions for Real Time Monitoring and Management | | Author : Shashant Ramteke | | Abstract | Full Text | Abstract :Traffic congestion is now a serious issue in cities, which causes longer travel times, higher fuel consumption, and emissions. The urbanization and vehicle concentration have increased the traffic bottlenecks, and conventional traffic control methods are ineffective. This work intends to identify the root causes of traffic congestion through advanced data analytics and intelligent transportation systems ITS in order to put forward an end to end congestion mitigation framework. The suggested research framework incorporates real time data, prediction analytics, and dynamic traffic management schemes. Performance is analyzed considering crucial metrics including travel time average, flow rate of traffic, and congestion. According to the results, smart traffic control systems hugely optimize the use of roads and eliminate bottlenecks through dynamically altering the timing of traffic lights and managing the flow of vehicles in a better manner. Shashant Ramteke "IoT-Based Traffic Congestion Analysis: Smart Solutions for Real-Time Monitoring and Management" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78445.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78445/iotbased-traffic-congestion-analysis-smart-solutions-for-realtime-monitoring-and-management/shashant-ramteke
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| Artificial Intelligence as a Tool for Predictive Cyber Threat Analysis | | Author : Manish D. Kharpuriya | | Abstract | Full Text | Abstract :The Cyber security Threat Intelligence CTI is an advanced security tool designed to provide real time monitoring, analysis, detecting, and response to emerging cyber threats. The main aim of this project is to improve threat detection, prediction, and mitigation by combining automation, big data analytics, and machine learning. To provide thorough security insights, the CTI compiles intelligence from a variety of sources, such as threat feeds, intrusion detection systems. The Cyber security Threat Intelligence dashboards automated threat correlation, AI powered anomaly detection, and user centric visualization are some of its primary features. The technology may detect possible risks before they become real by utilizing predictive analytics, which lowers false positives and increases the efficiency of security analysts. Furthermore, the use of block chain technology guarantees that threat intelligence is shared throughout organizations in a secure and verified manner. According to our research, the CTID increases proactive defense mechanisms, decreases incident reaction time by 40 , and improves threat detection accuracy by 85 . The study shows how real time situational awareness and adaptive risk management made possible by AI driven threat intelligence may completely transform cyber security. This study emphasizes how crucial it is to incorporate automation, artificial intelligence, and block chain into contemporary cyber security solutions in order to improve digital resilience and successfully combat advanced cyber threats. Manish D. Kharpuriya "Artificial Intelligence as a Tool for Predictive Cyber Threat Analysis" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78444.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78444/artificial-intelligence-as-a-tool-for-predictive-cyber-threat-analysis/manish-d-kharpuriya
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| Blood Donation Software Vital Link A Digital Approach to Efficient Blood Donation Management | | Author : Aloknath Shambhunath Chauhan | | Abstract | Full Text | Abstract :Blood donation is the cornerstone of health care, ensuring that hospitals and patients have access to vital resources. However, the traditional management of blood donations faces significant challenges, such as managing manual registers, ineffective monitoring of donors and delays in the search for appropriate donors. This research is Vital Link, a web system for managing blood donation. This optimizes the process of using Django Python, such as Overview, CSS, JavaScript, Bootstrap, and the use of Django Python on the front. The system incorporates research mechanisms in real time, with blood demands and warning notifications to increase accessibility and efficiency.Through a comprehensive analysis of system architecture, methodology, and impact, this study highlights how Vital Link can significantly improve donor engagement and reduce response time in medical emergencies. Aloknath Shambhunath Chauhan "Blood Donation Software (Vital Link): A Digital Approach to Efficient Blood Donation Management" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78446.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78446/blood-donation-software-vital-link-a-digital-approach-to-efficient-blood-donation-management/aloknath-shambhunath-chauhan
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| Smart Hotel Management System for Seamless Operation and Enhanced Guest Experience | | Author : Suhana Vishwakarma | | Abstract | Full Text | Abstract :The integration of advanced technologies in the hospitality industry has led to the development of smart hotel management systems aimed at enhancing operational efficiency and guest experiences. This research paper explores the implementation of HotelKey in collaboration with InterContinental Hotels Group IHG to create a seamless, cloud based property management system PMS . The study examines the objectives, scope, benefits, and methodologies involved in deploying such a system across IHG properties. Through a comprehensive analysis, the paper highlights the potential of smart hotel management systems to revolutionize traditional hotel operations. Suhana Vishwakarma "Smart Hotel Management System for Seamless Operation and Enhanced Guest Experience" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78509.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78509/smart-hotel-management-system-for-seamless-operation-and-enhanced-guest-experience/suhana-vishwakarma
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| Plagiarism Detection Improving the Peer Review Process in Academic Publishing | | Author : Rutika A. Ghotkar | | Abstract | Full Text | Abstract :Plagiarism is a infraction for world that impacts the quality, readability, and trustworthiness of scholarly publications. Improving researcher awareness of plagiarism of words, ideas, and graphics is essential for avoiding unacceptable writing practices. A lack of creative thinking and poor academic English skills are believed to compound most instances of redundant and “copy and paste” writing. Plagiarism detection software largely relies on reporting text similarities. However, manual checks are required to reveal inappropriate referencing, copyright violations, and substandard English writing. Additionally, the paper discusses the assumptions on technology for plagiarism detection and the importance of focuses on a culture of originality and proper practices among students and researchers. The system utilizes text matching algorithms, natural language processing NLP , and machine learning techniques to detect various forms of plagiarism, including direct copy pasting, paraphrasing, synonym replacement, and code plagiarism. For making the project we used languages like Html, CSS, Bootstrap and ReactJS for front end and JAVA for back end and MySql for data base connectivity. Rutika A. Ghotkar "Plagiarism Detection: Improving the Peer Review Process in Academic Publishing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78447.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78447/plagiarism-detection-improving-the-peer-review-process-in-academic-publishing/rutika-a-ghotkar
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| Designing an Effective 1Trainee.com Platform for Connecting Students with Real World Experience through Dynamic Skill Based Matching | | Author : Arpan K. Kale | | Abstract | Full Text | Abstract :This evaluation addresses the role of internships as one of the most significant tools for integrating the acquired university education and the work experience, especially from the point of view of higher education. This evaluation also measures InternSpheres impact by analysing employer engagement rates, success stories from students, and level of user interactions. A case study and survey administered explains the difference that the platform can make to fast track internships, improve job preparedness, and close the academia industry gap. With clearly maintained, readily available, and data driven internship prospects, solutions, such as 1trainee.com driven by technology, can provide a transformative experience for students and enhance the professional development of students that deserve a better future.The paper offers riders, industry partners and educator’s practical suggestions to increase successful and accessible internship programs. That includes cultivating diverse internship options, enhancing career support and creating partnerships between academia and business. This research seeks to assess the impact of internships on students’ readiness for employment, skill set, and overall employment potential via a comprehensive review of existing literature and data collection.It helps better internships hunts through contemporary technology like skill filtering options, AI recommendations, and application tracking. It is because, by which student never misses on internship references, current updates on it, and also getting mentoring for systematic career graph. In addition, 1trainee.comalso promotes student and educational and industrial partners collaboration for the establishment of an internship formatted platform.The study also explores challenges students encounter when trying to find useful internships and suggests potential solutions for educational institutions, business partners, and policymakers to create more user friendly and impactful internship experiences. From the voice of the changing.This assessment further reflects InternSpheres impact through reviewing indicators including employer engagement rates, student success stories, and user interactions. With clearly maintained, readily available, and data driven internship prospects, solutions, such as 1trainee.comdriven by technology, can provide a transformative experience for students and enhance the professional development of students that deserve a better future. Arpan K. Kale "Designing an Effective 1Trainee.com Platform for Connecting Students with Real-World Experience through Dynamic Skill-Based Matching" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78450.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78450/designing-an-effective-1traineecom-platform-for-connecting-students-with-realworld-experience-through-dynamic-skillbased-matching/arpan-k-kale
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| The Impact of Strength Training on Overall Health and Fitness | | Author : Kunal Ramkumar Yadav | | Abstract | Full Text | Abstract :The increasing prevalence of sedentary lifestyles has led to a significant rise in lifestyle related diseases, highlighting the need for effective fitness interventions. This study aims to evaluate the effects of a 6 week gym workout program on physical health, mental well being, and exercise adherence. Thirty participants 10 beginner, 10 intermediate, and 10 advanced were assessed pre and post program in terms of strength, cardiovascular fitness, body composition, and mood states. The results indicate significant improvements in physical fitness, with strength, cardiovascular endurance, and body composition all showing notable enhancements. Additionally, mental health outcomes also improved, as evidenced by reductions in depression, fatigue, and anxiety, alongside an increase in vigor and overall mood. The study also found high adherence to the workout program, with intermediate and advanced participants showing the highest completion rates. These findings support existing literature on the positive impact of regular physical activity on both physical and mental health 3, 2 . The results suggest that gym based exercise programs can serve as a valuable tool in promoting holistic health and should be considered in public health initiatives to combat lifestyle related diseases. Kunal Ramkumar Yadav "The Impact of Strength Training on Overall Health and Fitness" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78452.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78452/the-impact-of-strength-training-on-overall-health-and-fitness/kunal-ramkumar-yadav
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| AI Powered Dermatology Predicting Skin Disorders Using Convolutional Neural Networks | | Author : Mohmmad Rehan Ashraf | | Abstract | Full Text | Abstract :Skin conditions are a major worldwide health issue, and successful treatment depends on early detection. This study uses Microsofts machine learning framework, ML.NET, to present a machine learning based skin disease prediction system. In order to predict possible skin disorders, the system lets users input skin photos, which are then examined by an image classification algorithm driven by deep learning. Data pre processing, feature extraction, model training, assessment, and deployment within an intuitive web application are all included in the methodology. The technology provides real time categorization and analysis, producing accurate predictions instantly. Data privacy and customized access are guaranteed by secure authentication features like user registration, login, and password recovery. Effective user administration is made possible via an admin panel. This technology, which is built for speed, scalability, and dependability, helps people and medical professionals identify skin diseases in their early stages. Early diagnosis is made more accessible and effective by utilizing ML.NETs deep learning capabilities to give high precision classification with little processing overhead. Skin disorders are a major worldwide health issue, and successful treatment depends on early detection. This paper presents a skin disease prediction system that uses Microsofts ML.NET framework and machine learning. Users can upload photographs of their skin, which are then examined by an image classification algorithm driven by deep learning to make precise predictions about possible skin conditions. Data pre processing, feature extraction, model training, assessment, and deployment within an intuitive web application are all included in the methodology. Mohmmad Rehan Ashraf "AI-Powered Dermatology: Predicting Skin Disorders Using Convolutional Neural Networks" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78453.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78453/aipowered-dermatology-predicting-skin-disorders-using-convolutional-neural-networks/mohmmad-rehan-ashraf
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| Remote Assessment How Online Survey and Proctored Exams are Used in a Web Based System | | Author : Nandini Bhawre | | Abstract | Full Text | Abstract :Faced with the rising need for distance learning and digital data collection, institutes need a centralized infrastructure that encompasses online surveys and proctored exams. This paper presents the design and implementation of a combined web based portal that can support both online questionnaires and a proctored test. It also seeks to improve security, scalability and user experience. In addition to providing secure authentication and real time monitoring to ensure the integrity of online tests, the proposed solution also includes comprehensive survey administration features for data collection and analysis. The technology prevents evaluation malpractice through automated fraud detection, facial recognition, and other features. It also facilitates academic and organizational research with the combination of real time analytics and configurable survey tools. In addition, demo tests are also provided in the portal. if those who had not signed up. The paper also claims that their new approach to remote assessments and surveys can make both of them much faster and easier to learn, along with making them effective for research, corporate training and educational field using usability testing, performance analyzing and user feedback techniques to study the efficiency of the portal. Findings Shows that the mixed approach provides an uninterrupted user experience, improves survey effectiveness, and increases faculty confidence in assessment reliability. Nandini Bhawre "Remote Assessment: How Online Survey and Proctored Exams are Used in a Web-Based System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78507.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78507/remote-assessment-how-online survey-and-proctored-exams-are-used-in-a-webbased-system/nandini-bhawre
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| AI Driven Career Pathways Enhancing Decision Making for Job Seekers | | Author : Kartik P. Katolkar | | Abstract | Full Text | Abstract :An AI Companion can assist users in several ways like, communication sending emails , fetch weather reports, entertain users by playing music, set alarms and can perform many more functionalities. They play vital role in the day to day lives of people. Some famous AI assistants are Siri, Microsoft Cortana, OpenAIGPT 3 and so on. The existing system lacks functionalities such as chatbot, trading bot, stable diffusion, and image scanner. It is platform dependent, for example, Siri is available only on all Apple devices such as iPad, Mac, etc. the proposed system is platform independent and can perform simple tasks like setting an alarm to performing complex tasks like generating images from text based input. It needs a good internet connectivity and thus it can be accessed across wide range of platforms. It can also generate text based output from an image based input and it can also interact with users like a chatbot and resolve the user queries by providing meaningful output. Functionalities such as chatbot, voice assistant, stable diffusion, image scanner and trading bot have been included in the proposed system. For building a project Html , CSS, JavaScript , React.JS , are used for front end and Java used for back end and NLP used for better understanding resume improvements. Kartik P. Katolkar "AI-Driven Career Pathways: Enhancing Decision-Making for Job Seekers" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78508.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78508/aidriven-career-pathways-enhancing-decisionmaking-for-job-seekers/kartik-p-katolkar
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| Deep Learning Based Change Detection in Remote Sensing Images | | Author : Pranali Palkar | | Abstract | Full Text | Abstract :Monitoring environmental changes, urbanization, and disaster relief all depend on the ability to identify changes in remote sensing photos. Because of varied landscapes, noise, and fluctuating lighting, traditional approaches sometimes struggle with accuracy. In this study, we investigate a deep learning based method to enhance remote sensing picture change detection. Our goal is to automatically and precisely detect changes over time in satellite and aerial photos by utilizing sophisticated neural networks. Reliable results are guaranteed by our models ability to handle a variety of terrains and image circumstances. The suggested approachs efficacy in terms of accuracy, robustness, and efficiency is demonstrated by comparison with current methodologies. This study demonstrates how deep learning may improve remote sensing applications by increasing the accuracy and automation of change detection. Pranali Palkar "Deep Learning Based Change Detection in Remote Sensing Images" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78510.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78510/deep-learning-based-change-detection-in-remote-sensing-images/pranali-palkar
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| Predictive Modeling and Analysis of Energy Consumption Dynamics in Built Environments | | Author : Shitalkumar Patel | | Abstract | Full Text | Abstract :Energy consumption prediction for buildings is important in cutting costs of operation, enhancing energy efficiency, and supporting smart grid management. Reliable predictions of energy demand can assist in creating energy efficient plans and sustainable urban planning. The present work covers diverse methodologies and models used to predict energy consumption in buildings, such as statistical, machine learning, and deep learning methods. It further investigates the role of external considerations including weather conditions, occupancy profiles, and building design. It touches on real time data relevance and the influence of the Internet of Things IoT on energy consumption prediction. Ultimately, the article wraps up by examining future direction and challenges within energy consumption prediction in buildings. Shitalkumar Patel "Predictive Modeling and Analysis of Energy Consumption Dynamics in Built Environments" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78520.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78520/predictive-modeling-and-analysis-of-energy-consumption-dynamics-in-built-environments/shitalkumar-patel
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| BOOK SYNC A Smart Digital Library for Efficient Resource Management and Access Using AI | | Author : Pratham Gangaram Kanhule | | Abstract | Full Text | Abstract :In the digital age, libraries have evolved from physical book repositories to dynamic digital platforms that enable efficient information access and management 1 . The BOOK SYNC SMART DIGITAL LIBRARY project is designed to create a smart, synchronized library system that leverages advanced technologies such as cloud storage, AI driven recommendation engines, and interactive user interfaces to enhance user experience. By integrating features like automated cataloging, intelligent search, and personalized reading suggestions, this system aims to streamline information retrieval for students, researchers, and general readers 5 . The platform also prioritizes data security, ensuring safe storage and retrieval of digital resources while maintaining user privacy 3 . The proposed smart library system addresses the limitations of traditional libraries by offering remote accessibility, collaborative learning tools, and real time content updates, promoting knowledge sharing in academic and professional environments 4 . This innovative solution reflects the increasing demand for digital transformation in educational and research domains, aligning with modern information consumption trends. Pratham Gangaram Kanhule "BOOK SYNC: A Smart Digital Library for Efficient Resource Management and Access Using AI" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78511.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78511/book-sync-a-smart-digital-library-for-efficient-resource-management-and-access-using-ai/pratham-gangaram-kanhule
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| Web Scrapper Using Python and Playwright | | Author : Shrutika Vijay Bhaturkar | | Abstract | Full Text | Abstract :The rapid growth of digital data has necessitated the development of automated tools for information retrieval. This research presents a web scraping system designed to extract location based business data from Google Maps using Python, Playwright for browser automation, and supporting libraries such as Pandas, urllib, and asyncio. Traditionally, manual data entry from Google Maps into spreadsheets is time consuming and inefficient. Our proposed scraper automates this process, reducing human effort while ensuring faster and more accurate data collection. The system enables users to define search keywords e.g., gym , grocery store and locations e.g., Nagpur , Mumbai , retrieves business details programmatically, and stores them in an Excel sheet. The methodology incorporates asynchronous processing for efficiency, error handling for robust data retrieval, and optimization techniques to enhance CPU and RAM performance, particularly for bulk data extraction. Key challenges, such as dynamic scrolling and duplicate data issues, have been addressed. The results demonstrate significant time savings and improved accuracy in data acquisition. This research contributes to the field of web automation, presenting a scalable approach for extracting structured business data from online platforms. Shrutika Vijay Bhaturkar "Web Scrapper Using Python and Playwright" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78513.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78513/web-scrapper-using-python-and-playwright/shrutika-vijay-bhaturkar
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| Real Time User Behavior Analytics and Engagement System Using Spring Boot, Debezium, and Apache Iceberg | | Author : Aparna Nimje | | Abstract | Full Text | Abstract :This paper explores the design and implementation of a real time user behavior analytics and engagement system built using Spring Boot, Debezium, and Apache Iceberg. The proposed architecture captures user activity across digital platforms and processes it efficiently for actionable insights. Debezium enables Change Data Capture CDC from relational databases, while Apache Iceberg supports high performance analytics on large datasets. The system further includes personalized engagement strategies through real time data stream processing. This paper presents architecture diagrams, configuration details, and performance metrics to showcase the system’s capability in transforming raw user interactions into meaningful business intelligence. Aparna Nimje "Real-Time User Behavior Analytics and Engagement System Using Spring Boot, Debezium, and Apache Iceberg" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78514.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78514/realtime-user-behavior-analytics-and-engagement-system-using-spring-boot-debezium-and-apache-iceberg/aparna-nimje
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| IOT and Cloud Enabled Real Time Sensor Data Processing and Visualization | | Author : Nikky R. Bisen | | Abstract | Full Text | Abstract :The high development of the Internet of Things IOT has made the capability for real time data capture and processing possible in most fields of application such as healthcare, agriculture, and environmental monitoring. This work introduces the creation and implementation of a real time data monitoring system using NODEMCU, some sensors DHT11, ultrasonic, and MQ series , and cloud computing via Thing Speak. The system gathers real time sensor data and directs it to Thing Speak to be analysed and stored. In this paper, the system architecture, data processing techniques, and analytical results generated from gathered data are discussed. The outcome displays the effectiveness of the system in tracking environmental status and delivering decision making data via cloud based analysis. Nikky R. Bisen "IOT and Cloud-Enabled Real-Time Sensor Data Processing and Visualization" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78518.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78518/iot-and-cloudenabled-realtime-sensor-data-processing-and-visualization/nikky-r-bisen
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| Revolutionizing Healthcare A Smart Chatbot for Medical Consultation and Patient Support Using ML | | Author : Madhuram Dwivedi | | Abstract | Full Text | Abstract :Integration of Artificial Intelligence AI in healthcare has revolutionized patient care by increasing access, efficiency and diagnosis accuracy. This research focuses on the development of a smart healthcare chatbot, which takes advantage of natural language processing NLP and machine learning ML to help patients in symptomatic evaluation, medical inquiries and healthcare recommendations. The chatbot serves as a virtual health assistant, providing immediate reactions, initial diagnosis, and appointment scheduling and drug reminder. By analyzing the patient input, the system symptoms may suggest possible conditions based on the database and combine users with health professionals if necessary. The chatbot also increases telemedicine by reducing the response time, improving the patients busyness and reducing the workload on medical physicians. The study evaluates the efficiency, accuracy and user satisfaction of the chatbot through real world testing and response analysis. Results indicate that AI operated healthcare chatbots can significantly improve the patients experience, provide timely medical guidance, and streamline health services, making them become a valuable additional for modern healthcare systems. Future reforms may include integration with multilingual support for advanced AI operated diagnosis and comprehensive access. Madhuram Dwivedi "Revolutionizing Healthcare: A Smart Chatbot for Medical Consultation and Patient Support Using ML" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78515.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78515/revolutionizing-healthcare-a-smart-chatbot-for-medical-consultation-and-patient-support-using-ml/madhuram-dwivedi
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| Sustainable Network A Trendsetter’s Guide to Eco friendly Farming Using Node.js | | Author : Sweta Raut | | Abstract | Full Text | Abstract :The Green Develop Showcase may be a energetic arrange centered on progressing maintainable cultivating hones to address natural, social, and financial challenges in horticulture. By interfacing agriculturists, buyers, businesses, and policymakers, the arrange advances inventive procedures like natural cultivating, agroforestry, and accuracy farming. It points to cultivate a commercial center for economical items, empower climate resilient hones, and bolster circular economies. Through collaboration and knowledge exchange, the Green Develop Advertise works to form a more economical, eco friendly rural framework that guarantees nourishment security, diminishes natural affect, and underpins biodiversity.The approach of green growth markets and imaginative drift systems is causing a radical alter within the maintainable cultivating industry. The numerous features of maintainable agribusiness are inspected in this unique, with a center on how innovation improvements, agreeable systems, and environmentally inviting hones are coordinates to fuel this advancement. As natural concerns pick up more consideration around the world, individuals are giving more weight to items that come from maintainable sources.The rising request for eco friendly agrarian advances, regenerative cultivating strategies, and natural deliver are all markers of this alter. Due to buyer tastes, government directions that bolster the supportability, and the require for nourishment security within the confront of climate alter, the showcase for economical cultivating is develop around the world. Sweta Raut "Sustainable Network: A Trendsetter’s Guide to Eco-friendly Farming Using Node.js" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78516.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78516/sustainable-network-a-trendsetter’s-guide-to-ecofriendly-farming-using-nodejs/sweta-raut
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| AI Powered Maternal Health Monitoring Device for Real Time Tracking of Prenatal Well Being | | Author : Mansi. D. Wandhare | | Abstract | Full Text | Abstract :Mother health includes health during pregnancy and childbirth. Each step during pregnancy should have a positive experience and ensure that their women and their children reach their entire ability in health and well being. However, it cannot be achieved always. According to the UNFPA UN Population Fund , around 800 women die each day due to pregnancy and childish reasons, so it is important to monitor the health of the mother and fetus during pregnancy. Many portable sensors and equipment are designed to monitor both fetal and mothers health and physical activities and reduce the risk during pregnancy. Some wearables monitor fetal ECG or heart rate and movement, while others focus on the mother’s health and physical activities. This study presents a systematic review of these analyses. Twelve scientific articles were reviewed to address three research questions oriented to sensors and methods of data acquisition, processing methods of the acquired data, and detection of the activities or movements of the fetus or the mother. Based on these findings, we discuss how sensors can help effectively monitor maternal and fetal health during pregnancy. We have observed that most of the wearable sensors were used in a controlled environment. These sensors need more testing in free living conditions and to be employed for continuous monitoring before being recommended for mass implementation. Mansi. D. Wandhare "AI-Powered Maternal Health Monitoring Device for Real-Time Tracking of Prenatal Well-Being" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78517.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78517/aipowered-maternal-health-monitoring-device-for-realtime-tracking-of-prenatal-wellbeing/mansi-d-wandhare
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| Comparative Analysis of Sectoral Performance in NSE India Insights for Investors using Python | | Author : Vishakha P. Longadge | | Abstract | Full Text | Abstract :How industries within the stock market are doing in comparison to one another is a broad indication of the condition of the economy and what investor activity looks like. The study makes a comparative performance analysis of the sectors in Indian National Stock Exchange NSE based on various aspects including trends, volatility and risk return relationship amongst major sectors identified. The research classifies winning and losing sectors across various durations based on historical stock price data, sectoral indices, and fundamental metrics. The study further analyses the influence of macroeconomic variables, including such as GDP growth, inflation, and interest rates, on sectoral performance. Statistical and econometric methods, including correlation analysis, regression modelling, and risk adjusted performance metrics, are employed to derive actionable insights for investors. The findings of this research provide valuable guidance for portfolio diversification, risk management, and investment decision making in the Indian stock market. Vishakha P. Longadge "Comparative Analysis of Sectoral Performance in NSE India: Insights for Investors using Python" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78519.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78519/comparative-analysis-of-sectoral-performance-in-nse-india-insights-for-investors-using-python/vishakha-p-longadge
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| Leveraging React.js for Developing Scalable Home Service Platforms | | Author : Sakshi Banduji Raut | | Abstract | Full Text | Abstract :The rapid advancement of digital technology has transformed the way consumers access services, fostering the rise of multi service provider platforms. The HOMEHEAD MULTI SERVICE PROVIDER project aims to deliver an integrated platform that consolidates various on demand services such as home maintenance, healthcare, education, and more. The gig economys expansion has further driven demand for such platforms, enabling flexible workforce engagement while maintaining service quality 9 . This project emphasizes secure payment gateways, intuitive user interfaces, and real time tracking to elevate customer experience. Through innovative technology adoption and strategic design, the HOMEHEAD MULTI SERVICE PROVIDER platform aims to address evolving consumer needs in a digitally driven marketplace 5 . Sakshi Banduji Raut "Leveraging React.js for Developing Scalable Home Service Platforms" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78527.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78527/leveraging-reactjs-for-developing-scalable-home-service-platforms/sakshi-banduji-raut
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| An Extensive Analysis of Trends, Difficulties, and Opportunities in E Ticketing Systems | | Author : Atharva Ramesh Neware | | Abstract | Full Text | Abstract :The primary objective of the study is to determine e ticketing trends among city dwellers, specifically in Kuala Lumpur. The study explores the patterns and trends of e ticketing usage. The study also centers on customers attitudes towards e ticketing in terms of its usefulness, reliability, security, convenience, and efficiency. Additionally, it examines the effects of demographic factors on e ticketing adoption. A survey was conducted among Kuala Lumpur Internet users, with questionnaires randomly distributed to 500 individuals. Kuala Lumpur was selected due to its large population of Internet users. The research discovered that e ticketing is not new, as nearly half of the respondents have been purchasing tickets online for two years. Airline ticket booking appears to dominate the services of online tickets. The study also found that convenience and ease of use are key reasons why respondents buy tickets online 01 . Moreover, those who purchase tickets online are typically young, educated, and belong to a high income bracket. Atharva Ramesh Neware "An Extensive Analysis of Trends, Difficulties, and Opportunities in E-Ticketing Systems" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78521.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78521/an-extensive-analysis-of-trends-difficulties-and-opportunities-in-eticketing-systems/atharva-ramesh-neware
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| Enhancing Air Travel Efficiency Predicting Flight Delays using Machine Learning Models | | Author : Shailesh Panghate | | Abstract | Full Text | Abstract :Flight delays are a perennial challenge in the airline industry, impacting travelers experience and airline operations alike. This research investigates the use of machine learning classifiers to predict flight delays from past flight data. To assess flight characteristics and forecast delays, we employ a collection of supervised learning techniques, including Random Forest, Decision Trees, Support Vector Machines SVM , and Neural Networks. We use error measurements like Mean Absolute Error MAE , Root Mean Squared Error RMSE , and Accuracy Score to obtain an accurate measurement. According to the studys findings, machine learning classifiers provide a dependable way to forecast flight delays, giving airlines valuable data that they can utilize to maximize both customer satisfaction and operational efficiency. Shailesh Panghate "Enhancing Air Travel Efficiency: Predicting Flight Delays using Machine Learning Models" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78522.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78522/enhancing-air-travel-efficiency-predicting-flight-delays-using-machine-learning-models/shailesh-panghate
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| Face Detection and Filtering from High Resolution Images Using AI | | Author : Waqqas Nasir Ali | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :Face detection and filtering have become crucial for managing large scale image datasets, especially with the increasing volume of digital media. Traditional manual filtering techniques are inefficient, particularly when dealing with thousands of high resolution images. This paper presents an AI based approach that identifies and filters a user’s face from 3,000 high resolution images stored locally. The proposed system integrates deep learning based face recognition using Python OpenCV, face recognition, Pandas and a React Native mobile application for seamless image management.The system processes large datasets efficiently and accurately, achieving a 96.8 accuracy rate in face recognition while maintaining high speed filtering. Batch optimization techniques ensure the filtering process is completed within minutes. The React Native mobile application enhances user experience, allowing them to browse, organize, and manage detected images effectively. Experimental results confirm the feasibility of using deep learning for privacy focused, offline face recognition, enabling efficient personal image filtering and storage.This research aims to address privacy concerns associated with cloud based face recognition services by providing an offline solution that allows users to manage their personal images without an internet connection. Additionally, this work contributes to the growing field of AI driven image processing by proposing a highly optimized pipeline capable of handling large datasets with minimal computational overhead. Waqqas Nasir Ali | Prof. Anupam Chaube "Face Detection and Filtering from High-Resolution Images Using AI" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78525.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78525/face-detection-and-filtering-from-highresolution-images-using-ai/waqqas-nasir-ali
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| Exploring Machine Learning Models for Early Cancer Detection | | Author : Arju O. Patle | | Abstract | Full Text | Abstract :One of the most frequent cancers worldwide is skin cancer, often known as cancer of the skin or SC. Although a clinical examination of skin lesions is crucial for detecting the diseases characteristics, it is limited by the time it takes and the variety of interpretations it may lead to. Machine learning ML and deep learning DL techniques have been developed to assist dermatologists in making an early and accurate diagnosis of SC, which is crucial for increasing the patients survival rate. Here, we systematically review the literature on skin lesion classification using machine learning. Our goal is to provide newcomers to the subject with a solid basis to develop their future studies and contributions. Several online databases were searched with the use of inclusion exclusion criteria. Documents were selected for this assessment based on their ability to provide a detailed account of the procedures taken and an accurate account of the outcomes achieved. Sixty eight studies were selected, the vast majority of which rely on DL methods for detecting and classifying skin cancer, particularly convolutional neural networks CNN , with a lesser number relying on ML techniques or hybrid ML DL approaches. The papers were chosen for their usefulness in diagnosing and categorizing skin cancer. Several ML and DL methods provide state of the art results in categorizing skin lesions. The promising results achieved so far bode well for the eventual use of these methods in clinical practice. Arju O. Patle "Exploring Machine Learning Models for Early Cancer Detection" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78526.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78526/exploring-machine-learning-models-for-early-cancer-detection/arju-o-patle
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| Bug Tracking Systems Improving Software Quality through Efficient Issue Resolution | | Author : Ayush Ravindra Dorle | | Abstract | Full Text | Abstract :Teams can effectively detect, document, and fix software flaws with the help of bug tracking tools, which are crucial parts of software development and maintenance 05 06 . This study examines the development, characteristics, and capabilities of bug tracking tools, as well as their influence on software development procedures and implementation issues 07 17 . Additionally, the study assesses the efficacy of well known bug tracking solutions, compares them, and offers predictions for future developments in the field 08 13 14 .In order for teams to effectively detect, document, and fix software flaws, bug tracking tools are essential in todays software development process 05 06 . This study offers a thorough examination of bug tracking technologies, including their development, salient characteristics, advantages, and drawbacks 07 16 . Ayush Ravindra Dorle "Bug Tracking Systems: Improving Software Quality through Efficient Issue Resolution" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78528.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78528/bug-tracking-systems-improving-software-quality-through-efficient-issue-resolution/ayush-ravindra-dorle
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| ClientSphere A Comprehensive Approach to Customer Relationship | | Author : Ankit Waratkar | | Abstract | Full Text | Abstract :A web based client management system called ClientSphere was created to help businesses manage their client information, services, invoicing, and sales as efficiently as possible. It was created with PHP and MySQL and guarantees effectiveness, security, and user friendliness. The two main parts of the system are the Client Module, which lets clients view and print invoices, and the Admin Module, which lets administrators manage clients, services, and bills. The platform combines JavaScript, AJAX, and HTML to provide a responsive interface that works with most web browsers. ClientSphere improves business efficiency by automating administrative chores, strengthening data security, and offering extensive reporting tools. Ankit Waratkar "ClientSphere - A Comprehensive Approach to Customer Relationship" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78529.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78529/clientsphere--a-comprehensive-approach-to-customer-relationship/ankit-waratkar
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| Expo Suit Streamlined Expo Solutions with Next.js | | Author : Maheshwari Tarundev Butle | | Abstract | Full Text | Abstract :Expo Suit is a comprehensive expo management system designed to streamline the planning, organization, and execution of expos and trade shows. Built using Next.js for a dynamic frontend and Supabase for a secure backend, it offers an efficient and user friendly platform for event organizers, exhibitors, and attendees 1 .Registering, buying tickets, managing exhibitors, allocating booths, and interacting with attendees are all made simpler by the system. Organizers can streamline exhibitor onboarding, provide booth locations, and monitor event data in real time 2 . The technology also provides automated ticketing and access control to ease admittance and reduce administrative strain.The expo suit has an intelligent scheduling system that helps plan discussions without an event session, networking opportunities, and conflicts. Exhibitors can showcase products, schedule meetings, and track visitor interaction and engagement. Integrated email and messaging equipment facilitates spontaneous communication between attendees, exhibitors, and organizers 3 . Maheshwari Tarundev Butle "Expo Suit: Streamlined Expo Solutions with Next.js" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78531.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78531/expo-suit-streamlined-expo-solutions-with-nextjs/maheshwari-tarundev-butle
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| Cloud Based Hotel Administration Systems Architectural Design and Implementation of StayConnect | | Author : Ankita Avdhesh Kashyap | | Abstract | Full Text | Abstract : Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78548.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78548/cloudbased-hotel-administration-systems-architectural-design-and-implementation-of-stayconnect/ankita-avdhesh-kashyap
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| The Role of Predictive Analytics in Reducing Healthcare Costs and Improving Efficiency using Deep Learning | | Author : Nehal Janmenjay Gayen | | Abstract | Full Text | Abstract :The increasing demand for health care services combined with the increasing costs of health care has been a major problem for healthcare systems all over the world. Predictive analytics which uses data science methodologies and machine learning models seems to be a possible way to address these issues. This paper explores the use of predictive analytics in controlling the costs of healthcare and improving the performance of operations in the healthcare sector. Using historical data, patient demographics, clinical outcomes, and real time health monitoring, predictive models can predict patient needs, manage resources, and determine the most effective strategies to intervene. Case studies and practical applications are reviewed to determine how predictive analytics can assist in the identification of patients at risk, increase the effectiveness of hospital administration, and lead to the development of better treatment plans. Furthermore, it describes how predictive analytics can help in decision making, improve patient health and provide better care. The study also finds that predictive analytics enhances the performance of healthcare operations and reduces the overall costs of care without compromising on the quality of service. These technologies can help healthcare organizations better manage their resources, reduce costs, and provide proactive care, thus contributing to the long term sustainability of the healthcare system. This article is written to highlight the potential benefits and applications of predictive analytics in healthcare, specifically addressing the pressing challenges of rising healthcare costs and increasing demand for services. It aims to provide an in depth exploration of how predictive analytics—through the use of data science methodologies and machine learning models—can Nehal Janmenjay Gayen "The Role of Predictive Analytics in Reducing Healthcare Costs and Improving Efficiency using Deep Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78532.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78532/the-role-of-predictive-analytics-in-reducing-healthcare-costs-and-improving-efficiency-using-deep-learning/nehal-janmenjay-gayen
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| Design and Implementation of a Web Based Polling Application for Enhanced User Engagement using Python | | Author : Diksha Singh | | Abstract | Full Text | Abstract :The evolution of digital polling systems has enabled efficient collection and analysis of opinions in real time 01 10 . This research paper presents the design and implementation of a Polling Application Software, a webbased system that allows users to create, manage, and participate in polls. The system is developed using Python Django for backend processing, HTML, CSS, JavaScript, and Bootstrap for the frontend, and MySQL PostgreSQL for data management. The application supports multiple poll types, secure voting mechanisms, and real time result visualization using bar charts, pie charts, and numerical formats 07 . The paper discusses the methodology, system architecture, features, and potential applications of the software in various domains such as elections, surveys, and customer feedback collection 04 06 . Polling application software has transformed the way data gathering, decision making, and feedback mechanisms work in a variety of fields, including governance, education, business, and social engagement 04 06 . This research study looks at the design, development, and implementation of a web based polling application. The article covers crucial aspects such as real time voting, data security, user identification, and result analytics 02 05 . It also emphasizes the benefits of adopting polling software over traditional polling methods, including efficiency, transparency, and accessibility 03 10 . A thorough examination of system architecture, database design, and security methods such as encryption and two factor authentication 2FA is offered 08 05 . Furthermore, the study investigates obstacles such as cyber threats, user bias, and scalability issues, and proposes strategies to reduce them 05 09 . The report finishes with recommendations for future polling application software improvements, such as AI powered analytics, blockchain based security, and enhanced fraud prevention mechanisms 02 11 . Diksha Singh "Design and Implementation of a Web-Based Polling Application for Enhanced User Engagement using Python" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78533.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78533/design-and-implementation-of-a-webbased-polling-application-for-enhanced-user-engagement-using-python/diksha-singh
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| Neural Aesthetics Exploring AI Driven Visual Creativity | | Author : Shrutika Yadav | | Abstract | Full Text | Abstract :The rapid advancements in artificial intelligence AI and deep learning have led to the development of highly sophisticated models capable of generating realistic and novel images. One such breakthrough is the use of Generative Adversarial Networks GANs , Variational Autoencoders VAEs , and Diffusion Models, which have been pivotal in the field of image synthesis. These models can generate high quality images either from random noise or from textual descriptions, providing powerful tools for creative industries, content generation, and research.This project aims to explore and implement an AI based image generation system that leverages these advanced machine learning techniques. The primary objective is to develop a model capable of generating images from text prompts or manipulating existing images, offering innovative applications for digital art, advertising, and virtual reality. Specifically, we investigate the application of GANs 1 and Diffusion Models 3 in generating realistic and coherent images from textual descriptions, akin to models like OpenAIs DALL E 2 . The system’s ability to produce high quality, diverse images will be evaluated using metrics such as Inception Score 4 and Fréchet Inception Distance FID 5 .By utilizing state of the art architectures and large scale datasets, this project aims to push the boundaries of AI generated art and explore its potential applications in various creative fields. The results of this project will contribute to the ongoing development of AI based creative tools, which hold transformative potential for industries such as gaming, animation, advertising, and media. Shrutika Yadav "Neural Aesthetics Exploring AI-Driven Visual Creativity" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78534.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78534/neural-aesthetics-exploring-aidriven-visual-creativity/shrutika-yadav
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| From Campus to Career The Role of Virtual Internship Programs in Student Job Placement | | Author : Anjali Kailash Bokde | | Abstract | Full Text | Abstract :In moment’s digital geography, virtual externships have surfaced as a transformative ground between academic literacy and professional careers. This exploration explores the part of virtual externship programs in enhancing scholars job placement openings. The study examines how virtual externships equip scholars with assiduity applicable chops, foster networking openings, and give exposure to real world work surroundings. Through an analysis of case studies, employer feedback, and pupil gests, this paper evaluates the effectiveness of virtual externships compared to traditional on point externships. likewise, it investigates how technology driven externship models contribute to bridging the chops gap and preparing scholars for unborn job requests. The findings suggest that virtual externships offer inflexibility, inclusivity, and a cost effective approach to career readiness, making them a precious tool for both scholars and employers. The study also highlights challenges similar as engagement walls, lack of hands on experience, and employer comprehensions. By addressing these challenges with innovative results, virtual externships can become a sustainable and integral element of advanced education and pool integration. This exploration aims to give crucial recommendations for academia, assiduity stakeholders, and policymakers to enhance the effectiveness of virtual externship programs and maximize their impact on pupil employability. Anjali Kailash Bokde "From Campus to Career: The Role of Virtual Internship Programs in Student Job Placement" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78535.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78535/from-campus-to-career-the-role-of-virtual-internship-programs-in-student-job-placement/anjali-kailash-bokde
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| JANARS Knowledge Curation Platform | | Author : Ayush Mohan Amnerkar | | Abstract | Full Text | Abstract :JANARS is an innovative team discussion platform designed to revolutionize collaboration and knowledge sharing within organizations. The platform integrates three core functionalities Knowledge Set, Interplay, and AI powered responses to ensure seamless information access, structured discussions, and efficient decision making.The Knowledge Set serves as a centralized repository where team members can upload, manage, and access various document formats such as SOPs, PDFs, CSVs, and Word files. This feature ensures version control, enabling teams to work with the most updated content and avoid inconsistencies.Interplay facilitates structured discussions by allowing users to create dedicated discussion spaces where real time collaboration occurs through QandA sessions, voting mechanisms, and task assignments. This feature enhances team engagement, preserves context, and promotes productive decision making. Ayush Mohan Amnerkar "JANARS (Knowledge Curation Platform)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78536.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78536/janars-knowledge-curation-platform/ayush-mohan-amnerkar
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| TempSense A Mobile Enabled IoT Platform for Real Time Temperature Insights | | Author : Rakesh Vijaywar | | Abstract | Full Text | Abstract :Thanks to the rapid advancements of the Internet of Things IoT , real time monitoring is now possible. This paper presents a mobile enabled Internet of Things infrastructure for seamless data collection, processing and visualization for real time temperature monitoring. To enable precise temperature monitoring the system combines cloud computing, mobile app and IoT sensors. The platform uses wireless protocols and advanced data analytics to ensure scalability, low power consumption and high accuracy. Healthcare, industrial monitoring and smart agriculture are some of the use cases. Experimental results show the platform’s ability to provide temperature insights with low latency. Rakesh Vijaywar "TempSense: A Mobile-Enabled IoT Platform for Real-Time Temperature Insights" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78564.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78564/tempsense-a-mobileenabled-iot-platform-for-realtime-temperature-insights/rakesh-vijaywar
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| Customizing Web Analytics using Open Source Storing and Analyzing Website Visitor Details | | Author : Neha Ojha | | Abstract | Full Text | Abstract :Web analytics has been growing very fastly, and it is since the development of World Wide Web. It has grown from a simple function of HTTP Hypertext Transfer Protocol traffic logging to a more comprehensive suite of usage data tracking, analysis, and reporting. The web analytics industry and market are also booming with a plethora of tools, platforms, jobs, and businesses. The market was projected to reach 1 billion in 2014.Web analytics technologies are usually categorized into on site and off site web analytics. On site web analytics refers to data collection on the current site Kaushik, 2009 . It is used to effectively measure many aspects of direct user website interactions, including number of visits, time on site, click path, etc. It includes data from other sources such as surveys, market report, competitor comparison, public information, etc. This chapter provides an overview of on site web analytics, with a focus on categorizing and explaining data, sources, collection methods, metrics and analysis methods. Neha Ojha "Customizing Web Analytics using Open Source (Storing and Analyzing Website Visitor Details)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78537.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78537/customizing-web-analytics-using-open-source-storing-and-analyzing-website-visitor-details/neha-ojha
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| Word Sentiment Analysis using Natural Language Processing Based Techniques | | Author : Amisha Charde | | Abstract | Full Text | Abstract :This project will deploy sentiment analysis, a major sector of Natural Language Processing NLP , to develop a system that will find the emotions in text based data. This system will categorize the text as Positive, Negative, or Neutral using machine learning deep learning models. The primary objective is to extract actionable insights from different sources, such as social media, customer feedback, and online reviews.This system will carry out NLP processing such as tokenization, lemmatization, and vectorization, and implement various feature extraction methodologies like TF IDF and word embeddings. Enhanced specifics rely on adding sophisticated architectures such as LSTMs and transformers for boosting accuracy. Built in web interface via Streamlit real time sentiment classifications done with interactive visuals. The future improvement will cover multilingual analysis, interfacing various datasets, and refining the deep learning models to tailor robustness and adaptability in sentiment predictions across different fields. Amisha Charde "Word Sentiment Analysis using Natural Language Processing Based Techniques" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78540.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78540/word-sentiment-analysis-using-natural-language-processing-based-techniques/amisha-charde
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| Digital Matchmaking Analyzing the Growth and User Trends of 1Vivah.com | | Author : Samruddhi Halkande | | Abstract | Full Text | Abstract :Traditional matchmaking has been reinvented by the development of matrimonial websites in India, which provide a digital platform that combines technology and cultural norms. One example of how these platforms serve a variety of cultures while using contemporary matchmaking algorithms is 1Vivah.com, a rising force in the online matrimonial market. This study looks at 1Vivah.coms development, user engagement, success rates, and technological advancements to see how it complies with Indian marriage customs while embracing the digital era. The study explores important topics like user preferences, data security, AI driven relationship recommendations, and the part caste, religion, and geography play in matchmaking. It also looks into the difficulties that online matrimonial services confront, such as phony profiles, privacy issues, and changing social norms. By researching user behavior and industry trends, this report sheds light on how 1Vivah.com and similar platforms are shaping the future of matchmaking in India, achieving a balance between tradition and technology and such platforms, which strike a balance between tradition and technology, will influence matchmaking in India in the future.Key themes highlighted in the study include user preferences, data security protocols, AI driven relationship recommendations, and the impact of regional, caste, and religious considerations on matchmaking. It also discusses the difficulties that internet matrimonial sites encounter, including phony profiles, privacy concerns, and shifting social mores. Samruddhi Halkande "Digital Matchmaking: Analyzing the Growth and User Trends of 1Vivah.com" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78538.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78538/digital-matchmaking-analyzing-the-growth-and-user-trends-of-1vivahcom/samruddhi-halkande
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| Web Scrapping Based Flipkart Data Analytics and Visualization | | Author : Prachi J. Wanjari | | Abstract | Full Text | Abstract :Large amounts of data are produced by e commerce companies like Flipkart, which offer valuable insights into consumer attitudes, industry trends, and product performance. Using Beautiful Soup and Scrapy for data crawling, Pandas and NumPy for data pre processing, and Matplotlib and Seaborn for visualization, the current study focuses on online scraping based Flipkart data analysis and visualization. Text Blob, Vader, and LSTM are examples of Natural Language Processing NLP systems that help with sentiment analysis of customer evaluations. The system is a web application built on Streamlit that provides interactive dashboards for analysing sales trends, sentiment data, and price movements. Future advances would involve machine learning for demand prediction and expanding data collection across several e commerce platforms to improve market decision making. The research integrates web scraping, analytics, and business intelligence. Prachi J. Wanjari "Web Scrapping Based Flipkart Data Analytics and Visualization" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78539.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78539/web-scrapping-based-flipkart-data-analytics-and-visualization/prachi-j-wanjari
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| Advanced to do List App with AI Reminder | | Author : Sahil Vijay Gautam | | Abstract | Full Text | Abstract :Productivity in the fast paced digital world of today depends on efficient task management. Conventional to do list apps frequently use manual scheduling and static priority settings, which can result in inefficiencies and job overload. In order to increase efficiency, this study investigates how artificial intelligence AI might be included into work scheduling and prioritization. Artificial intelligence AI driven systems can dynamically optimize task management by analyzing user behaviors, deadlines, urgency levels, and workload distribution through the use of machine learning algorithms, natural language processing NLP , and behavioral analytics. The study assesses several AI models, such as predictive analytics and reinforcement learning, to see how well they increase task completion rates and decrease procrastination. This study also looks at how users interact with AI powered work schedulers using surveys and real world implementations. According to the results, AI based task prioritizing. Sahil Vijay Gautam "Advanced to-do List App with AI Reminder" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78562.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78562/advanced-todo-list-app-with-ai-reminder/sahil-vijay-gautam
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| DrivenMetrics AI Powered Automotive Sales Insights | | Author : Aayush Shahare | | Abstract | Full Text | Abstract :The car industry is quickly advancing, with information playing a pivotal part in driving deals methodologies and showcase choices. Driven Metrics is an AI powered car deals investigation stage planned to upgrade decision making by leveraging machine learning, prescient analytics, and information visualization.This framework forms huge datasets, counting verifiable deals records, advertise patterns, client inclinations, and financial components, to supply noteworthy bits of knowledge. By utilizing progressed calculations, Driven Metrics predicts future deals patterns, recognizes key execution markers KPIs , and suggests optimized estimating techniques. It moreover offers intuitively dashboards and real time analytics, empowering businesses to track deals execution, client socioeconomics, and request variances.The integration of AI driven models guarantees moved forward exactness in determining and improves dealership effectiveness. This inquire about investigates the effect of AI in car deals analytics, illustrating how data driven decision making can lead to expanded productivity and progressed client fulfillment. Through real time checking and shrewdly detailing, Driven Metrics engages businesses to remain competitive within the ever changing car advertise. Aayush Shahare "DrivenMetrics: AI-Powered Automotive Sales Insights" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78549.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78549/drivenmetrics-aipowered-automotive-sales-insights/aayush-shahare
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| A Smart Platform for Scheduling Doctors Visit and Medication Tracking with Express.js and Node.js | | Author : Trunali Gaidhane | | Abstract | Full Text | Abstract :In the evolving terrain of health care, digital results play a vital part in enhancing effectiveness. This disquisition presents the development of an integrated health care platform that combines croak er appointment scheduling and drug operation into a single system. The platform aims to streamline patient relations with healthcare providers by offering a experience for reserving consultations, entering conventions, and managing specifics. The system leverages ultramodern technology, including artificial intelligence and pall rested results, to optimize appointment scheduling, reduce detention times, and insure drug adherence. also, it facilitates real time communication between cases, croakers, and apothecaries, thereby perfecting healthcare vacuity, reducing manual crimes, and enhancing the case care. By integrating medical consultations and pharmaceutical services into one digital ecosystem, this platform aims to bridge the gap between telemedicine ultimately contributing to a more effective and patient centric healthcare model. The study evaluates the effectiveness of this approach through user response, system performance analysis, and healthcare effectiveness criteria. The findings illuminate the eventuality of analogous integrated platforms to revise digital healthcare services and meliorate case issues. Trunali Gaidhane "A Smart Platform for Scheduling Doctors Visit and Medication Tracking with Express.js & Node.js" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78550.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78550/a-smart-platform-for-scheduling-doctors-visit-and-medication-tracking-with-expressjs-and-nodejs/trunali-gaidhane
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| Predictive Modeling for Loan Eligibility A Machine Learning Approach | | Author : Aniket Bhagat | | Abstract | Full Text | Abstract :Loan eligibility prediction plays a critical role in the financial sector, helping banks and lending institutions assess the creditworthiness of applicants before approving loans. Traditional loan approval processes rely heavily on manual assessment and rule based approaches, which can be time consuming, inconsistent, and susceptible to human bias. With the rapid advancements in artificial intelligence and machine learning, automated loan eligibility prediction systems have gained significant attention for improving accuracy, efficiency, and fairness in decision making.This study explores the application of machine learning techniques to predict loan eligibility based on various applicant attributes, including income, credit history, employment status, loan amount, and other financial indicators. A dataset containing historical loan applications is used to train and evaluate multiple machine learning models, including Decision Trees, Random Forest, Support Vector Machines SVM ,K Nearest Neighbors KNN , and Artificial Neural Networks ANN . Feature selection and preprocessing techniques, such as normalization, handling missing values, and categorical encoding, are employed to improve model performance.By leveraging machine learning in loan eligibility prediction, financial institutions can streamline the approval process, mitigate risks associated with loan defaults, and enhance customer experience by providing quicker and more reliable loan decisions. This research highlights the potential of data driven approaches in revolutionizing the financial sector and underscores the importance of adopting intelligent predictive models to optimize loan approval workflows. Aniket Bhagat "Predictive Modeling for Loan Eligibility: A Machine Learning Approach" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78551.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78551/predictive-modeling-for-loan-eligibility-a-machine-learning-approach/aniket-bhagat
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| Career Crafters Molding Opportunities for Ambitious Talent | | Author : Vikram Wanve | | Abstract | Full Text | Abstract :Because the labour market is always changing, new approaches are needed to bridge the gap between employers and job seekers. This article examines the Lets Work job portal software in detail. Its goal is to enhance user experience and speed up the recruiting process. The program makes it easier for companies and candidates to communicate by combining advanced job matching algorithms, user friendly interfaces, and robust communication tools. Lets Works effectiveness in increasing user happiness and job placement rates is evaluated through a combination of qualitative and quantitative research methods, including performance indicators and user surveys. Our results show that the platform greatly cuts down on the time and effort needed for employers and job seekers to interact, while simultaneously offering insightful information about applicant patterns and the market. Vikram Wanve "Career-Crafters: Molding Opportunities for Ambitious Talent" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78552.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78552/careercrafters-molding-opportunities-for-ambitious-talent/vikram-wanve
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| Adopting Cloud Technology by Transitioning from On Premises Infrastructure | | Author : Tanvi Pawar | | Abstract | Full Text | Abstract :Cloud Migration aim companies to leverage the digital revolution find in migration a vital top priority and advantages of cloud storage. The different methods of cloud migration used are discussed in this document. or companies to shift their workloads and applications from on premises to the cloud. Regarding the abstract, it explores the problems and factors to think about in picking the right migration strategy and right cloud destination, regardless it be a total application rewrite, re platforming, or lift and shift migration. The document examines considerations like cost, time to market, complexity, and possible performance improvement as well as discusses the merits and disadvantages of every approach. Moreover, the resume emphasizes the need of good planning, data migration, and post migration optimization to guarantee a good trip through the cloud. The article seeks to offer by a thorough analysis, to give businesses important information on the several approaches of cloud migration and help them to use cloud technology to its maximum by means of informed decisions. Tanvi Pawar "Adopting Cloud Technology by Transitioning from On-Premises Infrastructure" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78561.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78561/adopting-cloud-technology-by-transitioning-from-onpremises-infrastructure/tanvi-pawar
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| Letswork Design and Implementation of an Online Job Portal System | | Author : Aadesh Mool | | Abstract | Full Text | Abstract :Innovative ways to close the gap between companies and job searchers are required due to the employment markets continuous evolution. The Lets Work job portal software, which aims to improve user experience and expedite the hiring process, is thoroughly examined in this article. The program combines sophisticated job matching algorithms, intuitive user interfaces, and powerful communication features to make it easier for employers and candidates to communicate. We assess Lets Works efficacy in raising user satisfaction and job placement rates using a mix of qualitative and quantitative research techniques, such as user surveys and performance indicators. Our findings indicate that the platform significantly reduces the time and effort required for both job seekers and employers to connect, while also providing valuable insights into market trends and candidate preferences. The implications of this research highlight the potential of technology driven solutions in transforming the employment landscape, fostering a more efficient and accessible job market for all stakeholders. Aadesh Mool "Letswork - Design and Implementation of an Online Job Portal System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78553.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78553/letswork--design-and-implementation-of-an-online-job-portal-system/aadesh-mool
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| Optimizing Stock Management with DigiStocking A Data Driven Analysis | | Author : Mayur Murlidhar Waghale | | Abstract | Full Text | Abstract :DigiStocking System is a web based inventory management system that seeks to automate electronic products digital stocking. Efficient inventory management is crucial for electronic component companies to keep optimal inventory levels, reduce losses, and improve order fulfilment. This research paper presents the architecture, implementation, and benefits of the DigiStocking System, which was developed using ASP.NET, HTML, CSS, JavaScript, SQL Database, and a Three Tier Architecture. This study explains how digital tools enhance real time monitoring of stocks, automation, and security while reducing human error and inefficiencies. It also explores how digital inventory management impacts business operations, supply chain management, and overall organizational efficiency. Findings reveal that a robust digital stocking system not only decreases operational challenges but also optimizes inventory control to deliver data accuracy, cost effectiveness, and scalability for businesses of all sizes. Mayur Murlidhar Waghale "Optimizing Stock Management with DigiStocking: A Data-Driven Analysis" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78554.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78554/optimizing-stock-management-with-digistocking-a-datadriven-analysis/mayur-murlidhar-waghale
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| Carbon Accounting and Waste Management Solutions A Digital Transformation Perspective | | Author : Poonam Bhajbhuje | | Abstract | Full Text | Abstract :The growing fast pace of climate change and the need for environment friendly management have pushed the demand for innovative digital solutions in carbon accounting and waste management. This research paper focuses on the digital transformation in which companies achieve better carbon calculations, cut waste, and achieve the regulatory compliant process. The paper discusses PlanetaryPlus.com as a web based platform for sustainability to illustrate how technology such as cloud computing, AI driven analytics, and automation ensure the accuracy, scalability, and efficiency of environmental management. Furthermore, the paper assesses environmental factors and challenges in wider corporate and governmental contexts through experimentation and industry insights. The study comes up with a major thesis that data driven decision making has a positive effect on both companies and governments, when it comes to their efforts in sustainability. The key point of the study is the integration of technology based solutions that will bring a substantial enhancement in carbon tracking, waste reduction initiatives, and resource efficiency, and in the end, will help the shift to a low carbon and circular economy become possible. The study derives from the reasoning that the digital transformation is a key tool for the implementation of sustainable practices, whereby platforms such as PlanetaryPlus.com will gain a leading edge in green innovation. Poonam Bhajbhuje "Carbon Accounting and Waste Management Solutions: A Digital Transformation Perspective" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78555.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78555/carbon-accounting-and-waste-management-solutions-a-digital-transformation-perspective/poonam-bhajbhuje
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| Aqua Proof Waterproofing Investigation | | Author : Sanchita Devhare | | Abstract | Full Text | Abstract :Waterproofing helps buildings last longer by keeping water out and preventing damage caused by moisture. This study looks at how well different waterproofing methods work in various weather conditions. It compares materials like cement based coatings, liquid applied and sheet membranes, and special waterproofing additives mixed into concrete. To test their effectiveness, researchers use both lab experiments and real world observations. The results help builders choose the best waterproofing solutions to make structures stronger and more durable over time. Additionally, it lists the practical waterproofing solutions for each seepage issue from real world case studies, emphasizing the best materials and techniques chosen. In order to address the buildings rectification work, which usually involves the building leakage syndrome issue, the paper aims to assist the construction players, namely the maintenance team, building owner, and designer, in determining the appropriate steps, particularly when selecting the appropriate waterproofing materials. Sanchita Devhare "Aqua Proof: Waterproofing Investigation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78556.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78556/aqua-proof-waterproofing-investigation/sanchita-devhare
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| AILA A Knowledge Repository Framework for Smart Information Access and Management | | Author : Pushpak Prajapati | | Abstract | Full Text | Abstract :Aila is a revolutionary knowledge curation platform aimed at transforming how individuals accumulate, organize, and engage with information. Leaning on the incorporation of ChatGPT, an advanced AI language model, Aila transforms passive information retention into an active learning experience. Aila users have the power to curate in depth content on diverse subjects, with ChatGPT facilitating real time interactions with this knowledge repository, offering smart and context specific answers to questions. The complementary fusion of curated content and AI support maximizes the learning experience, making it more natural, interactive, and efficient. Aila enables users, such as students, working professionals, and researchers, to navigate complex subjects, resolve doubts, and formulate new insights through natural, dialogue based interactions. The AI based platform interface maximizes knowledge management, thereby rendering learning more accessible and personalized. This paper examines the architecture, functionality, advantages, and probable implications of Aila on knowledge curation development and interactive learning. Pushpak Prajapati "AILA: A Knowledge Repository Framework for Smart Information Access and Management" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78558.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78558/aila-a-knowledge-repository-framework-for-smart-information-access-and-management/pushpak-prajapati
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| EVENTIFY Bharat Online A Scalable Framework for Ticket Booking, Seat Management, Event Organization, and Gateway Pass Authentication | | Author : Rajat Y. Thakur | | Abstract | Full Text | Abstract :Bharat Online offers a great chance for creative online solutions. This research paper delves into the present situation of online event management in India, finding out the particular needs and challenges of event organizers and visitors in these underserved regions. It suggests a conceptual design for EVENTIFY BHARAT ONLINE , an integrated platform to fill these gaps by providing localized online ticket purchasing, dynamic seat management, effective event organization features, and secure digital gateway passes. The research examines the possibility of such a platform empowering local event planners in cities like Nagpur and elsewhere, linking them to a broader market, and automating event management processes. Additionally, it discusses the key considerations of effective implementation in the Bharat scenario, such as multi language requirements, varied payment gateway integration such as UPI and possibly local ones , user interface adoption supporting different levels of digital literacy, and approaches toward building trust and accessibility in regions with different internet connectivity. This study seeks to identify the socio economic contribution of EVENTIFY BHARAT ONLINE in building an inclusive and more efficient event environment throughout India. Rajat Y. Thakur "EVENTIFY - Bharat Online: A Scalable Framework for Ticket Booking, Seat Management, Event Organization, and Gateway Pass Authentication" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78557.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78557/eventify--bharat-online-a-scalable-framework-for-ticket-booking-seat-management-event-organization-and-gateway-pass-authentication/rajat-y-thakur
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| ERP Implementation in the Brick Industry A Step Towards Smart Manufacturing | | Author : Mukta Kothalkar | | Abstract | Full Text | Abstract :The need for efficiency, automation, and data driven decision making is driving the digital transformation of the brick manufacturing sector. Through the integration of numerous corporate operations, including inventory management, production planning, procurement, sales, and finance, enterprise resource planning ERP systems have become an essential tool in modernising brick production. This study examines how ERP may improve resource usage, streamline brick manufacturing procedures, and boost overall operational effectiveness. There are various advantages of the erp system. study looks at the main advantages of implementing an ERP, such as improved quality control, lower production costs, real time data tracking, and simplified supply chain management. It also draws attention to the difficulties encountered when adopting ERP, including the necessity of employee training, significant implementation costs, and resistance to change. This study offers insights into best practices for ERP integration in the brick business, opening the door for smart manufacturing, by examining case studies and industry trends.The results indicate that the brick manufacturing industry may greatly increase efficiency and sustainable for use. Maximising its advantages, however, requires a comprehensive implementation strategy that includes stakeholder participation and tailored ERP systems. This study adds to the current discussion about how conventional industries are going digitally and highlights the need for brick manufacture. it leads to innovate using ERP driven smart technologies. Mukta Kothalkar "ERP Implementation in the Brick Industry: A Step Towards Smart Manufacturing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78559.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78559/erp-implementation-in-the-brick-industry-a-step-towards-smart-manufacturing/mukta-kothalkar
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| HR Streamline Efficient HR Processes | | Author : Sahil Mate | | Abstract | Full Text | Abstract :In the current company environment, workforce management optimization requires an effective Human Resource Management System WORK FORCE MANAGEMENT SYSTEM . This essay examines the importance of WORK FORCE MANAGEMENT SYSTEM, how it affects organizational effectiveness, and the most recent developments in technology that improve HR operations. The study emphasizes how automation, data analytics, and AI may enhance hiring, employee engagement, performance reviews, and payroll administration. WORK FORCE MANAGEMENT SYSTEM also promotes a more strategic approach to personnel management, lowers human error, and helps with regulatory compliance. Businesses can improve employee happiness and expedite administrative duties by incorporating state of the art technologies, freeing up HR experts to concentrate on strategic decision making.Additionally, WORK FORCE MANAGEMENT SYSTEM is essential to workforce analytics, succession planning, and talent management since it helps firms pinpoint skill gaps and improve employee training initiatives. By enabling employees to manage their own data, request leaves, and view payroll information, self service HR portals lessen the administrative load. Notwithstanding the many advantages, there are drawbacks to deploying WORK FORCE MANAGEMENT SYSTEM, including difficulties with integration, employee resistance to change, and data security issues. In a competitive setting, this study offers guidance on how to get beyond these obstacles and optimize system benefits. Companies looking to use an advanced WORK FORCE MANAGEMENT SYSTEM platform to optimize their HR operations. Sahil Mate "HR Streamline: Efficient HR Processes" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78560.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78560/hr-streamline-efficient-hr-processes/sahil-mate
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| AI Powered Event Planning An Intelligent Approach to Cost Estimation and Budget Optimization | | Author : Sanjeevani Lakade | | Abstract | Full Text | Abstract :Planning an event is a complicated process that includes budgeting, vendor selection, and logistical management. Classical event planning approaches, which depend upon manual processes and static budget estimates, frequently result in inconsistencies, miscalculations, and expense overruns. Artificial intelligence AI is now recognized as a game changing technology for event planning, work automated processes, maximizing resource utilization, and boosting cost estimation accuracy. The paper looks at the use of computational intelligence in event planning and cost prediction, with a focus on key approaches, datasets, and technologies that might help improve efficiency. It studies the application of machine learning techniques, natural language processing NLP , and predictive analytics to make intelligent suggestions for cost estimation, vendor selection, and real time budget changes. The integration of AI driven dynamic pricing models and automated contract negotiation systems is also investigated to determine their influence on lowering financial risks and assuring budget optimization. This study also covers the problems and moral consequences that come with AI driven event planning, such as data privacy concerns, algorithmic prejudice, and market reliance. The findings show that AI powered event management systems improve decision making, minimize human mistakes, and save money by providing real time, data driven insights. Future advances in AI and deep learning are likely to enhance event planning automation, making it simpler, flexible, and cost effective. Sanjeevani Lakade "AI-Powered Event Planning: An Intelligent Approach to Cost Estimation and Budget Optimization" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78563.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78563/aipowered-event-planning-an-intelligent-approach-to-cost-estimation-and-budget-optimization/sanjeevani-lakade
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| INVONIX – Revolutionizing Inventory for the Future | | Author : Pallavi Kurve | | Abstract | Full Text | Abstract :Modern supply chain operations depend heavily on inventory management, which has a direct impact on customer happiness, cost effectiveness, and corporate efficiency. Operational bottlenecks and financial losses result from traditional inventory management systems frequent problems with overstocking, stockouts, imprecise demand forecasts, and ineffective resource allocation. The Invonix Intelligent Inventory Exchange System is a cutting edge, AI driven technology created to streamline inventory movement, improve visibility, and enable smooth inventory exchange across organizations in response to these enduring issues. By switching from a static, compartmentalized approach to a dynamic, data driven ecosystem, Invonix transforms inventory management. Invonix combines artificial intelligence, machine learning, and real time data analytics to forecast demand, automate stock movements, and proactively balance inventory levels across interconnected networks—as opposed to traditional systems that depend on reactive stock adjustments.Businesses can minimize excess inventory, maximize stock use, and alleviate shortages without exclusively depending on conventional supply chain techniques by facilitating cooperative inventory redistribution.By decreasing waste and lessening the environmental impact of excessive stock disposal, Invonix not only improves operating efficiency but also advances sustainability. Enhance supply chain resilience and lessen reliance on emergency procurement by using automated exchanges and intelligent forecasting to match supply with actual demand.Invonix is a novel approach to inventory management, and this paper examines its theoretical underpinnings, architectural framework, and industry implications. Invonix offers a scalable and sustainable solution for contemporary enterprises by promoting a transparent, decentralized, and data inventory exchange architecture, guaranteeing supply chain agility and long term efficiency in a global market that is becoming more and more complex. Pallavi Kurve "INVONIX – Revolutionizing Inventory for the Future" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78565.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78565/invonix-–-revolutionizing-inventory-for-the-future/pallavi-kurve
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| Optimizing VirtueMart for SEO and User Experience Best Practices and Strategies | | Author : Piyush Hinge | | Abstract | Full Text | Abstract :Retail has been completely transformed by e commerce, which gives customers easy access to goods and services anywhere in the world. In order to increase security and personalization, this study investigates the creation of an online marketplace based on Amazon that incorporates cutting edge technologies like blockchain, artificial intelligence AI , and machine learning ML . A recommendation engine, safe payment gateways, an easy to use user interface, and a strong logistical architecture are among the important elements that are examined in the study. It also covers issues including supply chain optimization, cybersecurity threats, and improving the consumer experience.By utilizing creative ideas to increase productivity, scalability, and customer pleasure, the suggested platform seeks to offer a competitive alternative to the current e commerce behemoths. In addition to discussing the possible effects of upcoming technologies on the future of online commerce, this study compares and contrasts current platforms. Piyush Hinge "Optimizing VirtueMart for SEO and User Experience: Best Practices and Strategies" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78566.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78566/optimizing-virtuemart-for-seo-and-user-experience-best-practices-and-strategies/piyush-hinge
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| Fresh Track AI Enhancing Supply Chain Efficiency with AI Powered Rotten Fruit Detection | | Author : Vidhi Bahekar | Prerna Dangra | | Abstract | Full Text | Abstract :Food safety, waste reduction, and overall efficiency all depend on the early detection of rotten fruits in supply chains. In this research, a deep learning and computer vision based AI powered method for identifying rotting apples is presented. Our model uses convolutional neural networks CNNs that have been trained on a variety of fresh and rotting fruit datasets to obtain high classification accuracy. For quick and accurate identification at different supply chain checkpoints, the system combines edge computing and real time image analysis. In order to improve detection skills, we also investigate the usage of Internet of Things IoT sensors and hyperspectral imaging. Results from experiments show that our AI powered solution performs faster and more accurately than conventional manual inspection techniques. This study demonstrates how AI has the ability to revolution the handling of perishable items, reduce losses, and guarantee improved quality standards in the food sector. Vidhi Bahekar | Prerna Dangra "Fresh Track AI: Enhancing Supply Chain Efficiency with AI-Powered Rotten Fruit Detection" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78567.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78567/fresh-track-ai-enhancing-supply-chain-efficiency-with-aipowered-rotten-fruit-detection/vidhi-bahekar
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| Potato Leaf Disease Detection using Machine Learning | | Author : Aachal Dhadase | | Abstract | Full Text | Abstract :Potato is one of the most important crops worldwide, and its productivity can be affected by various diseases, including leaf diseases. Early detection and accurate diagnosis of leaf diseases can help prevent their spread and minimize crop losses. In recent years, Convolutional Neural Networks CNNs have shown great potential in image classification tasks, including disease detection in plants. In this study, we propose a CNN based approach for the prediction of potato leaf diseases. The proposed method uses a pre trained CNN model, which is fine tuned on a dataset of potato leaf images. The dataset includes images of healthy leaves and leaves infected with different diseases such as early blight and late blight. The trained model is then used to classify new images of potato leaves into healthy or diseased categories. The proposed approach achieves 97.4 accuracy in the classification of potato leaf diseases such as early blight potato leaf disease and late blight potato leaf disease, and can be used as an effective tool for early detection and management of these diseases in potato crops. Aachal Dhadase "Potato Leaf Disease Detection using Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78584.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78584/potato-leaf-disease-detection-using-machine-learning/aachal-dhadase
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| Healthcare Data Analytics Platform AI Powered Personalized Nutritional Recommendation System | | Author : Abhinav Darwankar | | Abstract | Full Text | Abstract :The integration of big data analytics in healthcare has revolutionized patient care, disease management, and operational efficiency. This paper presents a Healthcare Data Analytics Platform HDAP that leverages artificial intelligence AI , machine learning ML , and cloud computing to analyze vast amounts of structured and unstructured healthcare data. The platform facilitates real time data processing, predictive analytics, and decision support for healthcare providers, improving patient outcomes and resource allocation. Key components include electronic health record EHR integration, predictive modeling for disease outbreaks, and personalized treatment recommendations. The study also examines challenges such as data security, interoperability, and ethical considerations in healthcare analytics. Results demonstrate the platform’s potential to enhance clinical decision making, reduce costs, and optimize healthcare delivery. Abhinav Darwankar "Healthcare Data Analytics Platform: AI-Powered Personalized Nutritional Recommendation System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78587.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78587/healthcare-data-analytics-platform-aipowered-personalized-nutritional-recommendation-system/abhinav-darwankar
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| OptiFlow HR Intelligent Employee Presence and Workflow Manager | | Author : Aakash Tripathi | | Abstract | Full Text | Abstract :All organizations use attendance management to record their employees initial and final work timings. Some organizations also maintain detailed records of attendance issues, such as sick leaves and late arrivals. Manual time and attendance management systems rely entirely on highly skilled personnel, but the challenge is that humans are not perfect. With manual systems, there is significant pressure on management to ensure accuracy in all details related to employees work at all times. It is easy to accidentally switch details and end up with incorrect entries or handwritten errors. These mistakes not only lead to false information but also create issues in the payroll system. Reporting and verifying this data can be time consuming and costly. In addition to tracking when employees work, organizations also need to monitor when employees are not working, using performance management software globally. Aakash Tripathi "OptiFlow HR: Intelligent Employee Presence & Workflow Manager" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78585.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78585/optiflow-hr-intelligent-employee-presence-and-workflow-manager/aakash-tripathi
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| HR Office Suite A Smart Approach to Automating Workforce Management and Employee Engagement | | Author : Akanksha Khapre | | Abstract | Full Text | Abstract :The HR Office Suite is an integrated, state of the art software solution intended to enhance the management of human resources through automating key aspects such as hiring, payroll processing, performance appraisals, and compliance monitoring. As organizational use of digital solutions for managing HR operations is on the increase, so also has there been an increased desire for efficient data driven decision making. This research paper investigates the adoption of HR Office Suites for its optimization of the workforce, driving employee engagement, and reduction in administrative costs. Through analysis of trends within an industry, case studies, as well as existing evidence, the study indicates strengths, weaknesses, and opportunities and challenges facing the application of HR software to bring about organizational efficiency and development. Akanksha Khapre "HR Office Suite: A Smart Approach to Automating Workforce Management and Employee Engagement" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78590.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78590/hr-office-suite-a-smart-approach-to-automating-workforce-management-and-employee-engagement/akanksha-khapre
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| Hybrid ML Models for Api Enabled Payment Gateway Recommendation Systems | | Author : Abhijeet. A. Rathod | | Abstract | Full Text | Abstract :This study illustrates a data driven recommendation system aiming to optimize payment gateway selection utilizing an innovative API architecture built with Java Spring Boot. This project uses hybrid machine learning ML models that combine collaborative filtering and deep neural networks to create a scalable RESTful API that provides tailored payment gateway suggestions based on user behavior, transaction context, and gateway performance indicators. The methodology entails gathering and preparing transactional data from many sources, organizing it for ML model training, and employing stringent validation techniques to assure forecast accuracy. The resulting API, which is implemented using Spring Boot, gives stakeholders merchants, developers, and end users actionable insights into gateway suitability, transaction success rates, and processing patterns. Key findings show that states or regions with high gateway availability may not always result in optimal transaction outcomes, indicating inefficiencies that can be addressed through intelligent recommendations. The technology improves recommendation accuracy by 25 and reduces transaction abandonment by 15 , proving its ability to simplify complicated payment ecosystems and improve decision making for smooth financial operations. Abhijeet. A. Rathod "Hybrid ML Models for Api-Enabled Payment Gateway Recommendation Systems" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78586.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78586/hybrid-ml-models-for-apienabled-payment-gateway-recommendation-systems/abhijeet-a-rathod
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| Plant Species Identification using Machine Learning | | Author : Abhishek Singh Parihar | | Abstract | Full Text | Abstract :Machine learning and mobile technology advancements have made it possible for new automated identification of plant species in recent years 0 1 . An Android application that utilizes machine learning algorithms to accurately identify plant species from image analysis is the focus of this research. The aim is to provide an easy way that allows individuals, such as botanists, horticulturists, and nature enthusiasts, to identify plants in real time using their mobile phone. The suggested Android based plant species identification proof system provides a useful and open tool for plant enthusiasts, experts, and researchers. The system facilitates the identification, preservation, and ecological study of plants through the potential of mobile technology and machine learning. To enhance the accuracy, speed, and usability of the application, additional improvements and optimizations can be explored. Abhishek Singh Parihar "Plant Species Identification using Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78588.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78588/plant-species-identification-using-machine-learning/abhishek-singh-parihar
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| BuildRight Professional Construction Services Web Portal | | Author : Gayatri. D. Maske | | Abstract | Full Text | Abstract :The construction industry is evolving rapidly and its integrating a modern technology, sustainable materials, and efficient project management to meet the growing demand for reliable infrastructure of the building. BuildRight is a professional construction service that prioritizes quality, innovation, and customer satisfaction to fullfill their requirements. The main approach is to combines traditional craftsmanship like AI driven project planning, eco friendly building materials, and smart construction techniques.A key finding in modern construction is the increasing role of human centric design, where buildings are not just structurally sound but also optimized for comfort, energy efficiency, and long term usability. Build Right aims to bridge the gap between the two approaches which is traditional expertise and modern advancements, by make sure that every project we undertake meets the highest standards of durability, functionality, and the appeal of aesthetic. Our commitment to sustainable and intelligent construction makes us a trusted choice for residential, commercial, and industrial projects and a good to go service. Gayatri. D. Maske "BuildRight: Professional Construction Services Web Portal" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78598.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78598/buildright-professional-construction-services-web-portal/gayatri-d-maske
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| Enhancing Visa Processing Efficiency through AI Driven Automation and Decision Support System Experience | | Author : Akshta. S. Choudhari | | Abstract | Full Text | Abstract :Artificial intelligence AI is revolutionizing the global immigration system through its application in issuing visas it will enhance efficiency, improved accuracy, and increased accessibility. Traditional methods of processing visas are entirely founded on paperwork, slow in time, and at times these procedures are conducted behind human interaction due to constraints which leads to delays as well as discrepancies. AIpowered visa application websites use machine learning, natural language processing, and automation to immensely reduce the workload in the verification of documents, fraud detection, and decision making processes. This study will further explore the effects of the AI based platforms on visa applications, including strengths, weaknesses, opportunities, and ethical issues that touch on the process of evaluation. Improvement in the speed of processing will translate into a decrease in human errors while algorithmic bias, data privacy, and transparency remain critical concerns. Using case studies and comparative analysis, this paper investigates AIs contribution to visa processing and further examines the need for regulatory frameworks to guarantee equity and accountability. AIs positive insight is proven to have the oomph to surmise visa application systems while advocating the just and responsible mores of implementation. Akshta. S. Choudhari "Enhancing Visa Processing Efficiency through AI-Driven Automation and Decision Support System Experience" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78591.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78591/enhancing-visa-processing-efficiency-through-aidriven-automation-and-decision-support-system-experience/akshta-s-choudhari
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| Elite Trade Hub A MERN Stack Powered Platform for AI Driven Cryptocurrency Trading and Portfolio Management | | Author : Aniket Pravin Mishra | | Abstract | Full Text | Abstract :Elite Trade Hub is an advanced cryptocurrency trading and investment platform designed to provide a seamless, secure, and efficient experience for traders and investors. The platform integrates real time market data, blockchain technology, AI driven analytics, and automated trading features to enhance decision making and optimize trading strategies. With a focus on security, scalability, and ease of use, Elite Trade Hub supports multiple cryptocurrencies, including Bitcoin BTC , Ethereum ETH , and BitTorrent BTT , enabling users to trade, invest, and manage digital assets efficiently. The platform offers a live trading dashboard, interactive crypto charts, AI powered trading bots, secure wallet integration, decentralized exchange DEX support, and risk management tools. Built on a modern technology stack, including React.js, Node.js, Express.js, MongoDB, Web3.js, and Solidity smart contracts, Elite Trade Hub ensures a high performance and scalable trading ecosystem. By leveraging AI driven market insights and predictive analytics, the platform empowers users with data driven strategies for profitable trading. The mission of Elite Trade Hub is to revolutionize digital asset trading by bridging traditional finance with decentralized technologies, providing a professional, transparent, and user friendly environment for crypto enthusiasts, institutional investors, and financial analysts. Aniket Pravin Mishra "Elite Trade Hub: A MERN-Stack Powered Platform for AI-Driven Cryptocurrency Trading and Portfolio Management" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78592.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78592/elite-trade-hub-a-mernstack-powered-platform-for-aidriven-cryptocurrency-trading-and-portfolio-management/aniket-pravin-mishra
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| Estate Control System Transforming Hotel Operations through Automation and Integration | | Author : Apeksha Nakhate | | Abstract | Full Text | Abstract :A comprehensive Estate Control System ECS has been developed to meet the diverse needs of the hospitality industry. This system integrates various aspects of hotel operations into a unified platform, enhancing efficiency, accuracy, and guest satisfaction. The ECS offers robust functionalities covering reservations, front desk operations, housekeeping, billing, reporting, and integration with third party systems, while ensuring data security and regulatory compliance.The reservations management module includes seamless synchronization with online travel agencies OTAs and the hotel’s website for real time booking management, continuous updates of room inventory to prevent overbooking, and easy handling of booking changes and cancellations. Front desk operations are streamlined with automated check in check out processes, automated room allocation based on availability and guest preferences, and detailed guest profiles for personalized service delivery.The billing and invoicing module features automated billing for accurate and timely invoice generation, multi folio management for handling individual and group billing scenarios, and integration with various payment gateways for secure transaction processing. Reporting and analytics tools provide customizable reports on occupancy, revenue, and guest demographics, along with advanced business intelligence for data driven decision making and comprehensive financial reporting.Key benefits of ECS include enhanced operational efficiency through automation and real time updates, improved guest experience with personalized services and faster processes, data driven decision making with advanced reporting and analytics, scalability and flexibility through a cloud based architecture, and robust security measures ensuring compliance with regulations like GDPR. provides a structured implementation process, including pilot deployment, full rollout, and comprehensive training, along with ongoing support and maintenance through a 24 7 helpdesk, regular system updates, and proactive performance monitoring.In conclusion, ECS is a versatile and powerful tool designed to streamline hotel operations, optimize performance, and improve guest satisfaction. By integrating all key functions into a single platform, it provides valuable insights for strategic decision making and helps hotels stay competitive in a dynamic market. Apeksha Nakhate "Estate Control System Transforming Hotel Operations through Automation and Integration" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78593.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78593/estate-control-system-transforming-hotel-operations-through-automation-and-integration/apeksha-nakhate
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| Optimized Traffic Navigation System | | Author : Archi Khandelwal | | Abstract | Full Text | Abstract :In urban cities, traffic congestion continues to remain a serious issue resulting in to extended travel times, increased consumption of petroleum, and pollution of the surrounding environment. Traditional traffic management systems rely on pre set routes and static signal arrangements, therefore insufficient to dynamically adjust to changing conditions. This project leverages AI Artificial Intelligence , Machine learning and IOT Internet of Things in order to improve traffic flow and urban mobility. So as to obtain real time traffic data, the system integrates GPS trackers, AI driven cameras and IoT enabled sensors. Algorithms developed using machine learning are implemented to process this data in order to improve route recommendations and identify patterns of congestion. In order for better vehicle flow, smart traffic signal management additionally serves to adjust signal timings. Incident detection and management will be done using AI driven object detection. The system architecture is designed using MySQL, Python with Flask, and React.js for the frontend. Tensor Flow and Scikit learn are tools for predictive analytics, while Apache Kafka handles real time data streaming. MQTT integration allows interaction among IoT devices and the central processing unit. This enables for timely rerouting and emergency response. The systems objective is to increase commuter safety, minimize emissions, and reduce congestion by dynamically optimizing traffic signals and routes. Archi Khandelwal "Optimized Traffic Navigation System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78594.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78594/optimized-traffic-navigation-system/archi-khandelwal
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| FinTejo An AI Driven Smart Financial Management System for Real Time Insights and Predictive Investment Analytics | | Author : Arpita. G. Khavaskar | | Abstract | Full Text | Abstract :Forecasting the stock market has become very important in planning business activities. The prediction of stock price has driven many researches in a variety of disciplines, including computer science, statistics, economics, finance, and operations research. Recent studies have shown that the enormous amount of online information that is available in the public domain, such as Wikipedia, the social forums, news from media, have a significant impact on the investor’s opinion towards the financial markets. The reliability of the computational models on prediction of the stock market is very important, because it is highly responsive to the economy and may result in financial losses. In this paper, we have made an extensive analysis on various stocks. First, we have performed Stock Volatility Analysis on 1000 stock dataset of NYSE. The main contributions in this paper include the development of a dictionary based sentiment analysis model for the financial sector, and the evaluation of the model for scaling the effects of news sentiments on stocks for other markets. By using only the news sentiments, we have achieved a good accuracy of 70.59 in predicting the trends in short term stock price movement. Arpita. G. Khavaskar "FinTejo: An AI-Driven Smart Financial Management System for Real-Time Insights and Predictive Investment Analytics" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78595.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78595/fintejo-an-aidriven-smart-financial-management-system-for-realtime-insights-and-predictive-investment-analytics/arpita-g-khavaskar
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| TeamTrack A Full Stack Sports Analytics and Tournament Management System with Real Time KPI Tracking | | Author : Chetan Chobitkar | | Abstract | Full Text | Abstract :The TeamTrack is a sophisticated sports analytics platform engineered to track, evaluate, and analyze player and team performance across various organizational levels. This system caters to federations, clubs, and academies by offering a hierarchical governance model to streamline operational efficiency.Teamtrack is distinguished by its ability to capture real time match events, monitor key performance indicators KPIs , and generate data driven insights through advanced reporting capabilities.The system utilizes modern technologies, including React.js for an intuitive user interface, Node.js for backend services, and SQL Server for reliable and scalable data storage. Its ability to manage vast datasets securely while ensuring real time analytics makes it an essential tool for sports organizations. This paper delves into the systems architecture, data sources, methodologies, and the transformative impact of the TeamTrack in advancing modern sports management. Through accurate data collection and performance evaluation, the system enables informed decision making, improves player development, and optimizes strategic planning for teams and organizations. Chetan Chobitkar "TeamTrack: A Full-Stack Sports Analytics and Tournament Management System with Real-Time KPI Tracking" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78596.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78596/teamtrack-a-fullstack-sports-analytics-and-tournament-management-system-with-realtime-kpi-tracking/chetan-chobitkar
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| AI Picture Enhancer A Deep Learning Based Image Enhancement Framework using CNNs and GANs | | Author : Farzan Khan | | Abstract | Full Text | Abstract :Artificial Intelligence AI has changed the way we improve image quality. Traditional methods often struggle with issues like noise, blurriness, and low resolution. AI powered image enhancement, using deep learning techniques such as Convolutional Neural Networks CNNs and Generative Adversarial Networks GANs , provides better results by restoring details and improving clarity. This paper explores different AI based techniques for enhancing images, including noise reduction, sharpening, and super resolution. It also discusses how AI enhanced images are useful in photography, medical imaging, and security. Additionally, we highlight some challenges, such as high computational requirements and ethical concerns. Finally, we discuss future possibilities for improving AI based image enhancement.Artificial Intelligence AI has transformed image processing by significantly improving picture quality. Traditional methods often struggle with issues such as noise, blurriness, and loss of fine details, especially in low resolution images. AI based image enhancement techniques, particularly deep learning models like Convolutional Neural Networks CNNs and Generative Adversarial Networks GANs , have shown remarkable success in restoring and enhancing images. These models can perform super resolution increasing image resolution , denoising removing unwanted noise , deblurring sharpening blurry images , and colorization adding colors to black and white images .This paper explores the working principles behind AI powered image enhancement, focusing on various deep learning techniques and their applications. It also highlights key areas where AI enhanced images play a crucial role, such as photography, medical imaging for clearer X rays and MRIs , satellite imaging for better Earth observation , and security improving surveillance footage . Despite its advantages, AI based image enhancement faces challenges, including the need for large datasets, high computational power, and potential biases in image processing. Farzan Khan "AI Picture Enhancer: A Deep Learning-Based Image Enhancement Framework using CNNs and GANs" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78597.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78597/ai-picture-enhancer-a-deep-learningbased-image-enhancement-framework-using-cnns-and-gans/farzan-khan
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| Breaking the Language Barrier in Home Automation An IoT Based Multilingual Voice Controlled System for Accessible Smart Living | | Author : Gayatri Supsande | | Abstract | Full Text | Abstract :Home colonization has come a crucial part of ultramodern living, offering druggies more convenience by allowing them to control appliances with ease. Still, the most current systems are limited because they only support voice commands in one language, making them delicate to use for people in multilingual homes. This paper focuses on erecting a Multilingual Voice Controlled Home colonization system that allows druggies to control bias in their homes, like lights, suckers, and security systems, using voice commands in different languages. The system makes use of Natural Language Processing NLP and the Internet of Effects IoT to offer a smooth and easy to use experience. By exercising Python libraries for NLP and speech recognition, combined with open source platforms like Home Assistant, the system processes voice commands in real time, with good precision and little detention. The design uses IoT enabled bias like Raspberry Pi for tackle, and pall services to manage data efficiently. The main thing of this system is to make home colonization more accessible to people of different verbal backgrounds, reduce reliance on precious personal systems, and ameliorate how druggies interact with their smart homes. The results show that this system could bring significant advancements to the way we live by offering a more affordable, flexible, and inclusive home colonization result. Gayatri Supsande "Breaking the Language Barrier in Home Automation: An IoT-Based Multilingual Voice-Controlled System for Accessible Smart Living" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78599.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78599/breaking-the-language-barrier-in-home-automation-an-iotbased-multilingual-voicecontrolled-system-for-accessible-smart-living/gayatri-supsande
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| A Machine Learning Driven AI Examination System for Enhanced Assessment and Evaluation | | Author : Harsh P. Shaw | | Abstract | Full Text | Abstract :Traditional examination techniques have been completely transformed by the incorporation of machine learning ML and artificial intelligence AI into educational assessment. A machine learning driven artificial intelligence examination system is presented in this paper with the goal of improving assessment and evaluation procedures. The system uses deep learning, computer vision, and natural language processing NLP to enable automated question creation, proctoring, and grading.Adaptive testing methods are used in the suggested system to tailor the exam experience to each candidates skill level. To stop cheating, it employs AI powered proctoring that includes behavior analysis and facial recognition. Furthermore, ML algorithms evaluate both objective and subjective responses, decreasing human bias and boosting productivity. In order to assist educators and institutions in making well informed decisions regarding student performance, the system offers real time analytics and feedback.Scalability, dependability, and equity in grading are guaranteed by the automated evaluation framework. Additionally, it reduces administrative effort while preserving the integrity of the assessment. Data security, ethical issues, and bias mitigation are some of the issues and solutions related to AI based tests that are covered in the study.This system has the potential to revolutionize digital assessments by providing accurate, scalable, and reasonably priced examination solutions for professional certification programs, colleges, and universities thanks to AI advancements. Future research will focus on integrating blockchain for result authentication and improving explainability in AI grading.The use of artificial intelligence AI and machine learning ML in educational assessment has fundamentally changed traditional examination methods. In order to improve assessment and evaluation processes, this paper presents an artificial intelligence examination system that is driven by machine learning. The system enables automated question creation, proctoring, and grading through the use of deep learning, computer vision, and natural language processing NLP .The proposed system adapts the exam experience to the skill level of each candidate by using adaptive testing techniques. It uses AI powered proctoring, which incorporates facial recognition and behavior analysis, to prevent cheating. Additionally, ML algorithms assess both subjective and objective responses, reducing human bias and increasing efficiency. Harsh P. Shaw "A Machine Learning-Driven AI Examination System for Enhanced Assessment and Evaluation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78600.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78600/a-machine-learningdriven-ai-examination-system-for-enhanced-assessment-and-evaluation/harsh-p-shaw
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| Pet Haven Enhancing Animal Adoption and Safe Return Systems through Integrated Technology | | Author : Karan Vijay Ghogare | | Abstract | Full Text | Abstract :More and more pets are being left behind, and finding lost ones is tougher than ever pushing us to come up with fresh ideas to help animals out. Pet Haven – Adoption and Safe Returns is a website built to make pet adoption and lost pet recovery safe, quick, and easy to trust. It is uses some pretty cool techniques, like AI to pair pets with the right people, blockchain to keep records locked tight, and a central Lost and Found Pet Registry to keep everything fair and responsible. With strong ID checks and private chat options, it cuts down on scams and makes adopting feel smooth and secure. The early numbers show its working big time adoptions are up by 33 , lost pets are coming home 42 more often, and shady stuff has dropped by 90 . The platform’s got a real community vibe, too, getting pet owners, adopters, and rescuers to team up and support each other. Blockchain keeps everything honest and unchangeable, while the AI makes finding the perfect pet match a breeze.Pet Haven’s built to grow and shift as needed, setting the stage for cool upgrades like GPS trackers to spot pets in real time, a mobile app to make it handy for everyone, and tie ins with animal welfare groups around the world. These additions will crank up its reach and set a high bar for adoption and recovery systems everywhere. By tackling why pets get abandoned and fixing what’s broken in finding lost ones, Pet Haven’s out to change the game for pet welfare creating a safer, kinder world for pets and the folks who love them, no matter where they are. Karan Vijay Ghogare "Pet Haven: Enhancing Animal Adoption and Safe Return Systems through Integrated Technology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78601.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78601/pet-haven-enhancing-animal-adoption-and-safe-return-systems-through-integrated-technology/karan-vijay-ghogare
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| AI Based Employee Attendance Management System | | Author : Vikrant Sengar | | Abstract | Full Text | Abstract :Employee attendance management is an integral part of organizational efficiency to maintain appropriate utilization of the workforce and processing payroll. Conventional attendance systems are plagued with inefficiencies, inaccuracies, and security risks. This research work delves into different attendance management methods, viz., manual methods, biometric authentication, RFID, QR code based systems, and AI based solutions. The system proposed here combines QR code based attendance taking with cloud computing to improve accuracy, security, and real time monitoring. Performance assessment reflects enhanced effectiveness in handling employee attendance, minimizing errors, and streamlining payroll operations. Vikrant Sengar "AI-Based Employee Attendance Management System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78602.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78602/aibased-employee-attendance-management-system/vikrant-sengar
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| Walmart Business Performance Dashboard A Data Driven Approach to Retail Analytics | | Author : Mugdha. A. Yadav | | Abstract | Full Text | Abstract :In the retail market, data driven decision making is key to maintaining profitability and growth. This project involve creating a Walmart Business Performance Dashboard to offer detailed insights into business technic like sales performance, revenue trends, customer behaviour, inventory management, and regional profitability. Employing data visualization software such as Power BI, Tableau, or Python libraries Matplotlib, Seaborn the dashboard reports interactive real time analytics that assist stakeholders in making educated decision. The dashboard assists in recognizing sales trends, streamlining inventory levels, and predicting demand patterns. Moreover, predictive analytics enable processes by applying techniques foe strategic planning improvement and overall business performance enhancement. Through the use of data analytics and visualization, can mechanized processes, enhance customer satisfaction, and create long term profitability. Mugdha. A. Yadav "Walmart Business Performance Dashboard: A Data-Driven Approach to Retail Analytics" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78604.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78604/walmart-business-performance-dashboard-a-datadriven-approach-to-retail-analytics/mugdha-a-yadav
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| Farmer’s Smart Assistant System | | Author : Ketan. R. Waghmare | | Abstract | Full Text | Abstract :In India, most of the population depends on the agriculture sector. Farmer is the backbone of the Indian economy. Today the people involved in agriculture are of the lower class and face a lot of trouble in their day to day lives due to extreme poverty. Lack of awareness of modern technology and techniques leads to Farm poverty. The purpose of this project is to help farmers to solve their problems in an instant of time. Smallholder farmers who are well educated, in most agricultural products are faced with a wide array of problems, including access to sufficient information, services, etc. The system consists of smartphone applications. The paper proposes the utilization of information mining to give suggestions to ranchers on crops, crop data, and distinguishing proof of suitable manure. The smartphone is used very commonly by everyone who is educated or non educated. This application can provide different languages, which are Hindi and English this language is commonly used and is easy to use on the system. Through this application, we can guarantee farmers get better information about farming most advantageously. Ketan. R. Waghmare "Farmer’s Smart Assistant System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78605.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78605/farmer’s-smart-assistant-system/ketan-r-waghmare
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| Empowering Food Retail The Giriraj Foods E Commerce Platform | | Author : Khushab Shankar Pimpalkar | | Abstract | Full Text | Abstract :Giriraj Foods has put in place an advanced, state of the art ecommerce system. This system is capable of fully managing the online sales and distribution channels for their products. With the goal of improving the companys operational efficiency, this software integrates powerful back end processes with an easy and intuitive customer facing interface which is designed to enhance product management and supply chain processes. 1 The platform is tailored for scalability and security, which helps them keep up with the growing demand in the digital marketplace. Customers are able to explore a wide variety of food products, place orders, and monitor the delivery status in real time while conducting transactions on secure payment processors. In addition, the platform can be optimally accessed using web and mobile devices, making it more versatile. From an administrative angle, Giriraj Foods has been empowered to administer the business using powerful features for inventory and order tracking, and monitoring customer interactions through these software modules function effortlessly with other ERP software applications allowing live updates on stock figures, demand estimates, and shipment planning. In addition, advanced analytics and reporting tools provide value... 2 3 Khushab Shankar Pimpalkar "Empowering Food Retail: The Giriraj Foods E-Commerce Platform" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78606.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78606/empowering-food-retail-the-giriraj-foods-ecommerce-platform/khushab-shankar-pimpalkar
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| Implementing Enterprise Planning in a Hotel Toward Theory Building | | Author : Khushbu Shahare | | Abstract | Full Text | Abstract :A Hotel ERP Enterprise Resource Planning system is an integrated software solution that helps manage a hotel’s operations ranging from its front office to back end functionalities. It is designed to connect and unify various departments in a hotel, including reservations, housekeeping, food and beverage, finance, and guest services, in a single centralized space. It enables hotels to optimize operational suitability, brings down costs while boosting the guest experience. The ERP system, in addition, helps automate core activities such as booking management, inventory tracking, billing, and reporting, enabling real time.It aids hotel management in simplifying procedures, which lowers operating expenses and enhances visitor satisfaction. By automating repetitive duties like booking administration, check in check out procedures, billing, room allocations, reports, etc., hotel employees can concentrate on providing higher quality service. A Hotel ERP contains features such as inventory tracking, financial management, customer relationship management CRM , etc. Khushbu Shahare "Implementing Enterprise Planning in a Hotel: Toward Theory Building" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78607.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78607/implementing-enterprise-planning-in-a-hotel-toward-theory-building/khushbu-shahare
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| CAR FERRY Technological Advancements in Operations | | Author : Lina Bankar | | Abstract | Full Text | Abstract :Car servicing necessitates customers to bring their cars to and from centers of service, which is time consuming and inconvenient. CarFerry offers a breakthrough digital solution allowing car dealership owners to subscribe to a platform where expert drivers undertake car pickup and drop off services. The system combines automation, real time tracking, secure payment systems, and compulsory vehicle documents through images. This research paper investigates the effectiveness of CarFerry in enhancing operational efficiency, customer convenience, and security in vehicle transportation for servicing. The performance is evaluated to test the effect of the system on minimizing service delays and enhancing driver allocation efficiency. Lina Bankar "CAR FERRY: Technological Advancements in Operations" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78608.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78608/car-ferry-technological-advancements-in-operations/lina-bankar
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| A Technology Driven Approach to Stock Selection and Investment | | Author : Maithili Maroti Sontakke | | Abstract | Full Text | Abstract :Stock market investment demands timely access to accurate data and sophisticated tools that facilitate strategic decision making. This study investigates a technology based method of stock selection and investment, based on real time processing of data, automation, and AI based insights. Front end technologies including HTML, CSS, Laravel, and Bootstrap were used in the development of the online trading platform RockfieldTrade, which offers a responsive and user friendly interface. For ultra low latency trade execution, the platform leverages enterprise level hardware in data centers NY4 and LD5, with specialized fiber optic cross connects. By combining technical and fundamental research with predictive modeling, the approach enhances investors ability to assess stock performance, manage their portfolios more effectively, and steer clear of hazards. The study also covers how low latency trading infrastructure, liquidity aggregation, and easy data access result in more effective and knowledgeable investment methods. In order to demonstrate how technology based solutions are transforming traditional stock market participation, the study aims to make investing more approachable, data driven, and efficient. Maithili Maroti Sontakke "A Technology-Driven Approach to Stock Selection and Investment" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78609.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78609/a-technologydriven-approach-to-stock-selection-and-investment/maithili-maroti-sontakke
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| Digital HR Transformation Rethinking Corporate Talent Acquisition Strategies | | Author : Karishma Wadaskar | | Abstract | Full Text | Abstract :The process of recruitment has been undergoing a significant transformation, evolving from traditional resume based hiring to AI driven, skill based assessments and decisions, facilitated by Corporate Talent Acquisition Platforms CTAPs 1 . Unlike conventional keyword based filtering, modern hiring platforms incorporate behavioral analysis, work samples, and real time assessments to evaluate candidates more effectively 2 . Moreover, predictive employment forecasting is being leveraged to anticipate workforce demands, thereby reducing the pressure of last minute hiring decisions 3 .Another key development is the increasing focus on candidate experience, incorporating AI driven career coaching and personalized job recommendations to enhance engagement 4 . Employers are also striving for greater transparency and inclusivity in automated decision making, addressing concerns around AI bias and ethical hiring practices 5 . CTAPs are no longer just recruitment tools but are actively shaping the future of work by introducing agility, efficiency, and diversity into corporate hiring 6 .This study further implemented security and access control solutions using Spring Security and JWT authentication, ensuring robust protection of user data. Additionally, Docker and Kubernetes were utilized for enterprise grade scalable cloud deployment. Findings from the research indicate that the Java based talent acquisition platform significantly reduces hiring time, improves candidate selection accuracy, and enhances user experience for both recruiters and job seekers. The study contributes to the growing field of digital recruitment, demonstrating the effectiveness of full stack Java in building scalable and efficient hiring platforms. Karishma Wadaskar "Digital HR Transformation: Rethinking Corporate Talent Acquisition Strategies" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78610.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78610/digital-hr-transformation-rethinking-corporate-talent-acquisition-strategies/karishma-wadaskar
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| Customer Churn Analysis in Banking Sector using Data Mining | | Author : Saurabh Shirpurkar | | Abstract | Full Text | Abstract :The banking business is constantly attempting to recruit and keep consumers, despite the continuous difficulty of customer churn. This problem not only causes huge financial losses, but it also reduces overall consumer satisfaction, creating a negative cycle for financial institutions. Understanding the factors that influence a clients choice to leave is critical for banks since it allows them to adopt focused initiatives to increase customer loyalty and service offerings. Knowing the root causes of churn enables banks to remedy customer grievances, customize services for changing needs, and ultimately create a more enjoyable banking experience. This knowledge is necessary for designing effective retention techniques that minimize churn while also advancing long term profitability and customer activity. The banking sector is perpetually plagued with customer churn, which compromises financial stability and degrades customer satisfaction. In spite of continuous endeavors to retain clients and attract them, numerous banks incur heavy losses because customers exit due to diverse reasons, like poor service quality or superior substitutes. Within a competitive market, banks that focus on churn analysis and modelling will be in a superior position to accommodate changing customer requirements and retain a solid market standing, ultimately promoting sustainable growth and increased customer satisfaction. Saurabh Shirpurkar "Customer Churn Analysis in Banking Sector using Data Mining" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78611.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78611/customer-churn-analysis-in-banking-sector-using-data-mining/saurabh-shirpurkar
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| VoIP without the Internet Enhancing PBX Over Wi Fi | | Author : Mayur Indurkar | | Abstract | Full Text | Abstract :Voice over Internet Protocol VoIP is an innovative communication technology that allows for the transfer of voice and multimedia content via IP networks. However, traditional VoIP setups often rely on internet connectivity, raising concerns about security, reliability, and latency. This research presents a practical solution—integrating VoIP with an IP PBX system over a secure Virtual Private Network VPN within a local Wi Fi network, eliminating the need for internet access. By ensuring secure internal communication, this approach is ideal for enterprises and institutions requiring a controlled communication environment. Through network simulations and performance analysis, we examine security measures, delay factors, and overall system efficiency. The results confirm that VoIP over a local Wi Fi VPN enhances security while maintaining low latency, making it a robust alternative to internet dependent VoIP solutions. Mayur Indurkar "VoIP without the Internet: Enhancing PBX Over Wi-Fi" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78612.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78612/voip-without-the-internet-enhancing-pbx-over-wifi/mayur-indurkar
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| The Impact of Marketing Strategies on Box Office Performance | | Author : Sakshi Talmale | | Abstract | Full Text | Abstract :The film industry is a multi billion dollar sector that always evolves based totally on target audience choices, box workplace sales, important reception, and streaming trends. This studies analyzes top films primarily based on various parameters consisting of box workplace performance, IMDb and Rotten Tomatoes scores, style reputation, and target market demographics. By leveraging facts analytics and visualization strategies, we become aware of key elements contributing to a movies achievement and discover styles in target market engagement through the years. The look at also examines the effect of streaming platforms on traditional container workplace sales. Our findings provide precious insights for filmmakers, manufacturers, and entrepreneurs in search of to optimize film production and distribution techniques in a more and more digital landscape. Sakshi Talmale "The Impact of Marketing Strategies on Box Office Performance" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78626.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78626/the-impact-of-marketing-strategies-on-box-office-performance/sakshi-talmale
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| Aurum Invest A Full Stack Fintech Solution Leveraging Angular, Node.js, ASP.NET, and MS SQL Server | | Author : Mustaquem Mehtab Sheikh | | Abstract | Full Text | Abstract :In todays technology driven world, investment strategies and financial management tools have transformed how capital is managed, making it easier to analyze market trends and optimize decision making. This research delves into the evolution and impact of automation tools that assist in investment strategies such as portfolio management, risk assessment, real time data analysis, and automated trading. It closely examines technologies like AI artificial intelligence , machine learning, and RPA robotic process automation that power these financial automation systems. Moreover, it highlights advantages like increased accuracy, reduced human errors, and cost savings while addressing challenges such as security risks, system integration, and regulatory compliance. A real world example methodology is used to assess practical applications illustrating how automation enhances financial decision making and investor efficiency. The results indicate that a well structured automated investment system can significantly improve portfolio performance, transforming it into a key element of modern financial strategies. The paper concludes by exploring future developments in investment automation, emphasizing the increasing role of AI driven solutions and intelligent trading systems in shaping the future of finance. Mustaquem Mehtab Sheikh "Aurum Invest: A Full-Stack Fintech Solution Leveraging Angular, Node.js, ASP.NET, and MS SQL Server" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78613.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78613/aurum-invest-a-fullstack-fintech-solution-leveraging-angular-nodejs-aspnet-and-ms-sql-server/mustaquem-mehtab-sheikh
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| Transforming Healthcare Predicting Diseases using Machine Learning and AI | | Author : Pranit Bawane | | Abstract | Full Text | Abstract :Disease Prediction using Machine Learning is the system that is used to predict the diseases from the symptoms which are given by the patients or any user. The system processes the symptoms provided by the user as input and gives the output as the probability of the disease. Naïve Bayes classifier is used in the prediction of the disease which is a supervised machine learning algorithm. The probability of the disease is calculated by the Naïve Bayes algorithm. With an increase in biomedical and healthcare data, accurate analysis of medical data benefits early disease detection and patient care. By using linear regression and decision tree we are predicting diseases like Diabetes, Malaria, Jaundice, Dengue, and Tuberculosis.With the rapid growth of artificial intelligence, machine learning ML has become a game changer in healthcare, providing innovative ways to predict diseases and diagnose them early. Traditional diagnostic methods often depend on manual assessments, which can be slow, prone to errors, and reliant on expert interpretation. By integrating ML techniques into disease prediction systems, we can significantly boost accuracy, efficiency, and accessibility in medical diagnostics.This study introduces a machine learning based disease prediction system that utilizes patient medical data— like symptoms, demographic details, and clinical history—to estimate the likelihood of various diseases. We conduct a comparative analysis of several ML algorithms, including Decision Trees, Random Forest, Support Vector Machines SVM , and Deep Learning models, to find the most effective approach. The dataset is refined through preprocessing techniques such as feature selection, data normalization, and addressing missing values to enhance model performance. We evaluate the models based on accuracy, precision, recall, and F1 score to ensure reliable predictions.The experimental results show that ML based disease prediction surpasses traditional diagnostic methods, providing better accuracy and quicker processing times. These findings highlight that machine learning can be vital in early disease detection, ultimately lowering mortality rates and improving patient care.This research emphasizes the increasing significance of artificial intelligence in the healthcare field. Future efforts will aim to expand the dataset, incorporate deep learning architectures, and integrate real time patient monitoring systems to further enhance disease prediction capabilities. By advancing ML based diagnostic tools, this study contributes to the creation of intelligent healthcare solutions that improve early detection, treatment planning, and overall patient outcomes. Pranit Bawane "Transforming Healthcare: Predicting Diseases using Machine Learning and AI" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78614.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78614/transforming-healthcare-predicting-diseases-using-machine-learning-and-ai/pranit-bawane
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| Government E Auction Systems Enhancing Transparency and Efficiency in Public Asset Management | | Author : Himanshu Mohod | | Abstract | Full Text | Abstract :The Government E Auction System is an electronic system that aims to automate and simplify the government procurement process. The conventional paper based tendering process tends to become inefficient, non transparent, and more costly to administer. The system is designed to provide fairness, competition, and accountability in government bidding through electronic submission of bids, computerized assessment, and secure transactions. With the facilities of real time tracking of bids, automated validation of bids, and payment gateways, the system simplifies interaction between government agencies and vendors. With strong authentication and encryption mechanisms, sensitive information are protected against fraud and corruption threats. Integrating existing technologies, the Government E Auction System not only enhances efficiency but also promotes transparency and equal opportunities for all bidders. This paper examines the system architecture, main functionalities, and its effect on public procurement, illustrating how e auction systems can transform conventional tendering processes and lead to an accountable system of governance. Himanshu Mohod "Government E-Auction Systems: Enhancing Transparency and Efficiency in Public Asset Management" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78615.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78615/government-eauction-systems-enhancing-transparency-and-efficiency-in-public-asset-management/himanshu-mohod
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| A Framework for Developing Voice Controlled Web Applications Using Modern Web APIs | | Author : Pranjali A. Bagde | | Abstract | Full Text | Abstract :By utilizing natural language processing NLP and speech recognition, voice controlled web applications are revolutionizing user interactions by providing hands free, intuitive control. This study investigates the creation of an online application that makes use of cutting edge web technologies and artificial intelligence AI driven speech recognition to offer a productive, accessible, and user friendly experience. A responsive front end utilizing React or Vue.js, backend processing with Node.js Python, and Web Speech API for voice recognition are all integrated into the system. Multilingual support, accessibility improvements for individuals with disabilities, and real time voice commands are some of the key features. There is also discussion of security measures including voice data privacy protection and authentication.. The study highlights the potential of voice driven interfaces in web applications, addressing challenges like background noise interference and command accuracy. Future developments may incorporate advanced AI models for improved natural language understanding and expanded functionality. Pranjali A. Bagde "A Framework for Developing Voice-Controlled Web Applications Using Modern Web APIs" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78621.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78621/a-framework-for-developing-voicecontrolled-web-applications-using-modern-web-apis/pranjali-a-bagde
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| Internet Banking A Secure and Efficient Online Banking System | | Author : Rishi Dandade | | Abstract | Full Text | Abstract :The introduction of internet banking has transformed financial services by offering users smooth and secure access to banking activities. This paper presents the evolution of an effective and secure internet banking system with the integration of advanced authentication and encryption methods. The suggested model emphasizes user experience, security, and transaction efficiency while reducing cyber attacks. Performance analysis and result evaluation prove the effectiveness of the system in guaranteeing reliability, security, and scalability. Rishi Dandade "Internet Banking: A Secure and Efficient Online Banking System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78622.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78622/internet-banking-a-secure-and-efficient-online-banking-system/rishi-dandade
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| Diabetes Detection and Classification using Logistic Regression and Random Forests Methodological Perspective | | Author : Prasanna Yadav | | Abstract | Full Text | Abstract :In recent years, the prevalence of diabetes has emerged as a critical public health concern, emphasizing the need for efficient diagnostic tools that enable early detection and effective management. This research paper presents a robust machine learning framework designed to predict and classify diabetes by leveraging patient specific clinical data. Our approach utilizes a combination of supervised learning algorithms, including logistic regression and random forests, and support vector machines, to accurately diagnose diabetes and categorize patients based on disease progression. By optimizing feature selection and algorithmic performance, we demonstrate improved accuracy, sensitivity and specificity over traditional diagnostic methods. The model’s predictive capability offers significant potential in identifying at risk individuals, allowing for timely interventions and personalized treatment strategies. This work highlights the transformative role of machine learning in enhancing diagnostic precision, facilitating a paradigm shift in diabetes management and patient care. Prasanna Yadav "Diabetes Detection and Classification using Logistic Regression and Random Forests: Methodological Perspective" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78623.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78623/diabetes-detection-and-classification-using-logistic-regression-and-random-forests-methodological-perspective/prasanna-yadav
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| Enhancing Cybersecurity Response through Advanced Security Information and Event Management SIEM Systems | | Author : Rutvik Gaurkar | | Abstract | Full Text | Abstract :In a time when cyber threats are on the rise, protecting sensitive data, organizational assets, and business continuity all depend on an efficient cybersecurity response. Security Information and Event Management SIEM systems, which offer real time monitoring, data collection, and threat detection, are essential for bolstering cybersecurity frameworks. This paper looks at the increasing potential of advanced SIEM systems to enhance cybersecurity response.. It looks at how to improve threat detection, incident response, and overall system efficiency by combining artificial intelligence AI , machine learning ML , and big data analytics. The study explores issues including alert fatigue, false positives, and resource allocation that arise when businesses manage enormous amounts of security data. It also emphasizes how correlation rules, automated workflows, and incident prioritization can speed up reaction times and minimize the need for human participation. Case studies and business procedures show how SIEM systems have developed into crucial instruments for proactive threat management, guaranteeing prompt vulnerability and breach identification and mitigation.. This study also explores the future trends in SIEM technology, including the integration with cloud security and next generation threat intelligence platforms. Ultimately, the paper underscores the importance of advanced SIEM solutions in enhancing an organization’s ability to respond swiftly and effectively to emerging cyber threats, reducing risks, and improving overall cybersecurity resilience. Rutvik Gaurkar "Enhancing Cybersecurity Response through Advanced Security Information and Event Management (SIEM) Systems" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78624.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78624/enhancing-cybersecurity-response-through-advanced-security-information-and-event-management-siem-systems/rutvik-gaurkar
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| Space Tourism The Future of Travel Beyond Earth | | Author : Sakshi Salunke | | Abstract | Full Text | Abstract :Tourism plays a crucial part in worldwide economies, social trade, and individual encounters. This inquire about investigates the advancing scene of the travel industry, entering on economical tourism, computerized change, and the effect of rising innovations. It analyzes how variables like eco tourism, social media impact, and keen tourism arrangements are forming traveller behaviours and industry patterns.Moreover, the ponder highlights challenges such as over tourism, natural concerns, and post pandemic recuperation. By analyzing current patterns and future openings, this inquire about points to supply experiences for businesses, policymakers, and travellers to cultivate mindful and inventive tourism advancement. Sakshi Salunke "Space-Tourism: The Future of Travel Beyond Earth" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78625.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78625/spacetourism-the-future-of-travel-beyond-earth/sakshi-salunke
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| IoT Enabled Real Time Monitor using Banana Ripening Chamber | | Author : Shrikrishna Shende | | Abstract | Full Text | Abstract :Banana ripening is a critical process that requires precise temperature, humidity, and ethylene control to ensure optimal fruit quality. This paper presents an IoT based real time monitoring and control system for banana ripening chambers. The system integrates wireless sensors to collect temperature, humidity, ethylene, and CO2 data, which is transmitted to a cloud based platform for real time monitoring and analysis. Machine learning algorithms are employed to predict optimal ripening conditions and automate control of temperature, humidity, and ethylene levels. Experimental results demonstrate the effectiveness of the proposed system in reducing ripening time, improving fruit quality, and minimizing energy consumption. The systems scalability, flexibility, and cost effectiveness make it an attractive solution for banana ripening facilities. Shrikrishna Shende "IoT-Enabled Real-Time Monitor using Banana Ripening Chamber" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78631.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78631/iotenabled-realtime-monitor-using-banana-ripening-chamber/shrikrishna-shende
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| QuickMart – For Customers and Corner Shops | | Author : Sanyukta Tawade | | Abstract | Full Text | Abstract :The digital transformation of small retail businesses is crucial in todays competitive market. Many local retailers lack access to modern tools for managing inventory, processing orders, and integrating digital payments. Famocop is designed as a super application that provides shop owners and customers with a seamless platform for digital commerce, streamlining everyday transactions. Implementation led to a 40 increase in average revenue for participating retailers and a 50 reduction in order processing time. The application integrates machine learning algorithms for personalized recommendations, demand forecasting, and dynamic pricing strategies. This research paper discusses the underlying problem, system architecture, workflow, algorithms used, challenges faced during development, future enhancements, and the practical impact of implementing Famocop. The study concludes that adopting such technology enhances business efficiency, improves customer experience, and accelerates local market growth. Sanyukta Tawade "QuickMart – For Customers and Corner Shops" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78627.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78627/quickmart-–-for-customers-and-corner-shops/sanyukta-tawade
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| Visionary.AI Smart Interface for Image Visual Recognition | | Author : Shashank Bagale | | Abstract | Full Text | Abstract :With the rapid increase in image data across various sectors such as healthcare, security, e commerce and social media, the need for efficient and accurate visual recognition systems has never been greater. This research focuses on the development of a smart interface for image visual recognition, leveraging artificial intelligence AI and machine learning ML to provide seamless, real time analysis, object recognition, and classification. The proposed system aims to bridge the gap between sophisticated deep learning algorithms and user accessibility, offering an interface that is both intuitive and adaptive, learning from user interactions to improve over time. By integrating advanced AI models with optimized computational resources, the system seeks to reduce recognition errors, enhance accuracy, and optimize performance. This study contributes to improving the accessibility and trustworthiness of image recognition technologies, making them more reliable and applicable in real world scenarios. The findings propose an innovative approach to enhancing user experience and system efficiency, pushing the boundaries of visual recognition technology. Shashank Bagale "Visionary.AI - Smart Interface for Image Visual Recognition" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78630.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78630/visionaryai--smart-interface-for-image-visual-recognition/shashank-bagale
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| Hospicare Nexus An AI Driven CRM System to Enhance Patient Engagement and Operational Efficiency in Hospitals | | Author : Sayali Bangre | | Abstract | Full Text | Abstract :The healthcare industry faces increasing challenges in managing patient relationships, optimizing hospital operations, and ensuring high quality care. Hospicare Nexus is a next generation Customer Relationship Management CRM system designed especially for hospitals to work the bridge between patients and the healthcare providers. This research explores how Hospicare Nexus enhances patient engagement, their streamlines communication, and improves operational efficiency.Through the real world testing in multiple healthcare facilities, we observed that a 20 improvement in patient response time, a 15 reduction in administrative workload, and a 30 increase in patient satisfaction scores. Unlike traditional hospital management systems, Hospicare Nexus integrates AI driven automation, predictive analytics, and real time feedback mechanisms to deliver personalized healthcare experiences to the patients who wants to fulfil their requirements.This portal can offers key functionalities such as appointment scheduling, electronic health records EHR integration, patient feedback management, and AI driven analytics for hospital administration. By leveraging a robust database and an intuitive user interface, Hospicare Nexus ensures seamless communication and real time data access.This findings indicate that a well structured CRM system significantly reduces the administrative workload, enhances doctor patient interactions, and improves overall hospital productivity with an efficient work. Sayali Bangre "Hospicare Nexus: An AI-Driven CRM System to Enhance Patient Engagement and Operational Efficiency in Hospitals" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78628.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78628/hospicare-nexus-an-aidriven-crm-system-to-enhance-patient-engagement-and-operational-efficiency-in-hospitals/sayali-bangre
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| ENERTY A Data Driven Mobile Application for Personalized Electricity Bill Reduction | | Author : Shantanu N. Marjive | | Abstract | Full Text | Abstract :As the global demand for electricity continues to rise, energy management and conservation are now a top priority. Enerty is an intelligent electricity saving app that aims to assist consumers in monitoring and optimizing their electricity consumption based on historical electricity bills and usage patterns. The application asks users to provide necessary information like their consumer number and electricity department details so that it can fetch historical billing records. With cutting edge data analysis, Enerty comes up with elaborate reports that identify usage patterns, peak usage seasons, and areas where improvement can be made. In addition to this, the app offers user specific advice, such as what energy saving appliances can be used and behavioural practices that can help minimize electricity bills considerably. By giving consumers data insights and practical suggestions, Enerty not only saves on electricity bills but also encourages environmental conservation by minimizing energy consumption overall. This study investigates the apps capability, technological foundation, and capacity to promote household and business energy efficiency, in addition to considering the issues of data accuracy, security, and user uptake. Shantanu N. Marjive "ENERTY: A Data-Driven Mobile Application for Personalized Electricity Bill Reduction" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78629.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78629/enerty-a-datadriven-mobile-application-for-personalized-electricity-bill-reduction/shantanu-n-marjive
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| THE AI EDGE Smarter Tools for Interview Success | | Author : Shatakshi More | | Abstract | Full Text | Abstract :AI driven savvy meet collaborators are changing work meet planning by leveraging Characteristic Dialect Preparing NLP , Machine Learning ML , and discourse investigation. These frameworks reenact real world meet scenarios, survey candidate reactions, and give real time input on communication aptitudes, substance quality, and certainty levels. By analyzing verbal and non verbal signals, AI powered collaborators personalize preparing, making a Difference candidates progress their execution through intuitively taunt interviews. Not at all like conventional planning strategies, AI driven arrangements offer versatile learning, custom made coaching, and robotized assessment, making meet availability more productive and open. This inquire about investigates the affect, benefits, and challenges of AI based meet colleagues in upgrading work searchers victory rates. Shatakshi More "THE AI EDGE: Smarter Tools for Interview Success" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78632.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78632/the-ai-edge-smarter-tools-for-interview-success/shatakshi-more
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| Revolutionizing Vehicle Servicing A Digital Approach to Mechanic Scheduling and Repair Management | | Author : Unnati Surpatne | | Abstract | Full Text | Abstract :Our Mechanic Service application is a broad digital solution designed to repair vehicles and to streamline maintenance services. Created using the react native, react.js, node.js, express.js, and mysql, this system increases efficiency for both customers and service providers. The application allows admins to manage services, including adding new services and looking at available ones. Additionally, billing and payment processing are integrated, enabled the administrator to generate bills and receive payment. A web based administrator panel offers high level management capacity, allowing web appreciation to oversee all users and tracker service activities efficiently. With a user friendly interface and a strong backend, our application ensures smooth operation, real time updates and safe data management. Unnati Surpatne "Revolutionizing Vehicle Servicing: A Digital Approach to Mechanic Scheduling and Repair Management" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79668.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79668/revolutionizing-vehicle-servicing-a-digital-approach-to-mechanic-scheduling-and-repair-management/unnati-surpatne
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| A Personalized AI Tutor Framework Bridging Learner Profiles with Adaptive Learning Paths | | Author : Sonam Dongre | | Abstract | Full Text | Abstract :As always, the long held traditions of education are being transformed with rapid development and integration of artificial intelligence. With the aid of personalized AI technologies, students can now easily adapt to new learning environments and maximize their educational experiences. The Personalized AI Tutor System integrates performance based learning methods that tailor distinct learning paths for each student. This system evaluates students progress with the help of machine learning algorithms, natural language processing, and adaptive learning techniques and gives immediate feedback. The tutors are able to adjust content difficulty, explain interactive concepts, and make suggestions of needed comprehension practice exercises in targeted practice sessions. An outstanding feature of the system is its skill of providing easily accessible resources in order to enhance low efficiency learning gaps. This research aims at designing Artificial Intelligence centered educational assistant that guarantees a personalized, interesting, and productive learning experience. The research was designed with user testing and performance measuring components to understand a systems impact on the learning outcomes. The results suggest that AI enabled tutoring has a profound impact on student participation and academic achievement. Offering further understanding of the future of education, the Personalized AI Tutor System is an important step towards smart education through powerful, flexible, efficient, and scalable learning solutions. Sonam Dongre "A Personalized AI Tutor Framework: Bridging Learner Profiles with Adaptive Learning Paths" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78644.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78644/a-personalized-ai-tutor-framework-bridging-learner-profiles-with-adaptive-learning-paths/sonam-dongre
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| Player Performance Analytics using AI | | Author : Syed Awais Syed Rehman | | Abstract | Full Text | Abstract :Player performance analytics has become an essential tool in modern sports, helping teams make data driven decisions for player selection, training, and strategy development. Traditional performance evaluation methods rely on subjective judgments, which often lack consistency and accuracy. With the rise of artificial intelligence AI and machine learning ML , sports analytics has undergone a transformation, allowing real time data processing, predictive analysis, and performance forecasting.This study proposes an AI driven system for player performance analytics using computer vision, deep learning, and statistical modeling. The system captures key performance indicators KPIs such as speed, agility, endurance, accuracy, and reaction time, enabling detailed insights into a player’s strengths and weaknesses. The research is based on extensive datasets, AI models, and real time monitoring tools to ensure accurate player evaluation. The proposed system is evaluated on a dataset containing professional player statistics, and results demonstrate that AI based analytics significantly improve performance assessments.This study contributes to the field of sports science by integrating AI for objective and accurate performance evaluation. Additionally, it highlights the advantages of AI driven insights in optimizing player training programs and enhancing competitive strategies. Syed Awais Syed Rehman "Player Performance Analytics using AI" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78645.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78645/player-performance-analytics-using-ai/syed-awais-syed-rehman
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| Digi Body Trainer Module A Smart System for Real Time Body Monitoring and Exercise Feedback | | Author : Tanuja Kubitkar | | Abstract | Full Text | Abstract :The Digi Body Trainer Module DBTM is an innovative fitness training system that utilizes smart tracking, real time monitoring, and data analytics to enhance the efficiency of personalized fitness programs. This paper explores the design, functionality, and implementation of DBTM, analyzing its impact on trainee performance assessment, trainer guidance, and fitness progress tracking. The study evaluates various data driven techniques, including biometric analysis, test parameterization, and subscription based plans, to enhance training efficiency. The proposed system integrates multiple components, such as device registration, activity monitoring, trainee assignments, batch scheduling, and test evaluations, ensuring a comprehensive fitness tracking experience. Through systematic data collection and analysis, this paper demonstrates how DBTM enables structured fitness management while improving trainer trainee interactions. Tanuja Kubitkar "Digi Body Trainer Module: A Smart System for Real-Time Body Monitoring and Exercise Feedback" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78646.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78646/digi-body-trainer-module-a-smart-system-for-realtime-body-monitoring-and-exercise-feedback/tanuja-kubitkar
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| Success Sphere AI Driven Career Planning | | Author : Jay Dhote | | Abstract | Full Text | Abstract :Success Sphere is a career planning system powered by artificial intelligence that is capable of helping users navigate their career paths efficiently. It has mechanisms for goal setting, tracking, mentorship programs, and modules for enhancing skills to provide an all round career map. The paper discusses the necessity for the system, summarizes existing works, and presents an innovative model for maximizing career development. Performance appraisal and result analysis prove the systems capability in leading users towards professional success. Jay Dhote "Success Sphere: AI-Driven Career Planning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78648.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78648/success-sphere-aidriven-career-planning/jay-dhote
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| A Scalable Online Learning and Certification Platform Implementation with Spring Boot and JSP | | Author : Tushar Kamlakar Petkar | | Abstract | Full Text | Abstract :Abstract This research paper presents the design and development of an Online Learning and Certification System, a web based platform aimed at providing structured online courses with automated assessments and certification. The primary objective of the study is to create a secure, efficient, and user friendly environment where students and professionals can enroll in courses, access learning materials, complete evaluations, and obtain valid certificates upon successful completion.The system was developed using Java Spring Boot as the backend framework, along with JSP, HTML, CSS, and JavaScript for the frontend interface. Key modules implemented include user registration and authentication, course enrollment, content delivery, automated testing, and certificate generation. Experimental testing involved functional validation of user flows, system performance, and accuracy of automated assessments.The study found that integrating automated evaluation significantly reduces manual intervention and improves the efficiency of the certification process. The platform ensures data security, smooth course management, and real time progress tracking. It effectively meets the growing demand for flexible, accessible, and credible online learning solutions. The system is scalable and can be expanded to accommodate diverse courses and larger user bases in the future. Tushar Kamlakar Petkar "A Scalable Online Learning and Certification Platform: Implementation with Spring Boot and JSP" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78647.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78647/a-scalable-online-learning-and-certification-platform-implementation-with-spring-boot-and-jsp/tushar-kamlakar-petkar
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| Air Quality Analysis and Prediction | | Author : Swaraj Khedkar | | Abstract | Full Text | Abstract :The world we live in is being rapidly automated and emerging technologies like Cloud, Internet of Things, and so forth are being continuously integrated into concepts such as Smart Cities to provide a high level of comfort to the residents with minimum human intervention 10 . A major challenge faced by corporations of developed cities is to control and regulate air quality. With the advent of modern air quality monitoring and pollution control systems, a novel prediction framework aids the process of finding effective solutions to complex problems. This project focuses on investigating the correlation between air quality and weather and building a prediction model based on the results of the exploratory analysis of historical weather and pollution data. Air quality is assessed based on a banding system which measures the levels of pollutants, namely Ozone O3 , Nitrogen dioxide NO2 and Particulate matter PM10 and PM2.5. The overall air quality index at any particular time is given as the maximum band for any pollutant. PM2.5 is fine particulate matter of size less than 2.5 micrometers and is considered to have adverse impacts on health ranging from lung cancer to cardiovascular diseases. Although PM2.5 is a crucial factor in deciding the overall air quality index, it is currently not included as a pollutant in the UK air quality banding system issued by the Committee on the Medical Effects of Air Pollutants COMEAP . This is because extensive monitoring of PM2.5 levels using dedicated instruments has only started since 2015 and the presently available data is insufficient for conclusive analysis. 1 This project aims to predict the air quality band for PM2.5 using present and historical pollution data in combination with predicted weather data which is readily available. To solve this problem, firstly, exploratory data analysis will be conducted on available weather and pollution datasets to discover the correlation between different features. After employing suitable data cleaning and feature engineering methods based on the observations made, the feasibility of using different machine learning techniques such as classification and regression models will be analyzed. Swaraj Khedkar "Air Quality Analysis & Prediction" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78649.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78649/air-quality-analysis-and-prediction/swaraj-khedkar
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| Cloud Based Technology in Hospitality and Retail HotelKey PMS, EventKey, and RetailKey | | Author : Vaishnavi Kadu | | Abstract | Full Text | Abstract :Cloud computing has transformed the hospitality and retail industries by providing scalable, efficient, and cost effective solutions. This paper examines the role of cloud based technology in these sectors, focusing on three major platforms HotelKey PMS, EventKey, and RetailKey. HotelKey PMS revolutionizes hotel management by automating operations such as reservations, billing, and customer relationship management. EventKey streamlines event planning, ticketing, and attendee engagement through a cloud based framework, ensuring seamless coordination. RetailKey enhances retail business operations by integrating point of sale transactions, inventory tracking, and customer analytics. The study highlights the advantages of cloud based solutions, including improved operational efficiency, real time data access, and enhanced customer experiences. Despite the benefits, challenges such as data security, internet dependency, and system integration issues persist. Through case studies and industry analysis, this research provides insights into the adoption of cloud technologies and their impact on business performance. Future trends indicate increased integration of AI, blockchain, and IoT to further enhance functionality and security. The paper concludes that cloud based solutions are essential for modern hospitality and retail management, enabling businesses to stay competitive in an evolving digital landscape. Vaishnavi Kadu "Cloud-Based Technology in Hospitality and Retail: HotelKey PMS, EventKey, and RetailKey" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78650.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78650/cloudbased-technology-in-hospitality-and-retail-hotelkey-pms-eventkey-and-retailkey/vaishnavi-kadu
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| Driven by Data An Analytical Approach to Car Sales Trends and Market Dynamics | | Author : Vikas Kailash Piprade | | Abstract | Full Text | Abstract :The speedy evolution of data analytics and machine learning has transformed decision making in different sectors, including the automobile industry. This study aims to use data driven methods to predict and analyze car sales trends and enable car manufacturers and dealerships to refine their strategies. Through the use of historical car sales data, economic metrics, and patterns of consumer behaviour, we intend to derive valuable insights that affect purchasing behaviour. Our research utilizes machine learning algorithms like linear regression, decision trees, and neural networks to improve predictive accuracy. Exploratory data analysis EDA is further utilized to extract seasonal trends, regional demand fluctuations, and drivers of sales. Insights from this work offer actionable advice for inventory optimization, pricing strategy, and marketing campaigns. The findings underscore the importance of bringing data driven practices into car sales forecasting to keep companies competitive within a changing industry. Vikas Kailash Piprade "Driven by Data: An Analytical Approach to Car Sales Trends and Market Dynamics" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78651.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78651/driven-by-data-an-analytical-approach-to-car-sales-trends-and-market-dynamics/vikas-kailash-piprade
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| A Critical Analysis OD Legal Advisory in Morden Enterprises | | Author : Sakshi Nasre | | Abstract | Full Text | Abstract :Juris Counsel Advocates are central to the justice system as they offer professional legal advice, guarantee regulatory compliance, and represent clients in court. Their duties have also changed greatly with the progress of technology and globalization. This paper critically analyzes the role, importance, and evolution of legal advisors in contemporary businesses. It discusses the ways adopted by legal experts to handle cases, prepare legal documents, and offer strategic legal advice.The research also points out the growing incorporation of Artificial Intelligence AI and digital tools in contract drafting, legal research, and case management, as a result of which efficiency increases but so do questions about data privacy and ethics. It also touches upon challenges confronting legal advisors like working under heavy loads, rapidly changing laws, and ethical issues like conflicts of interest as well as confidentiality issues. Sakshi Nasre "A Critical Analysis OD Legal Advisory in Morden Enterprises" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79667.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79667/a-critical-analysis-od-legal-advisory-in-morden-enterprises/sakshi-nasre
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| Crime Predictions Analysis using Machine Learning | | Author : Karan Arya | | Abstract | Full Text | Abstract :The aim of this project is to predict crime analysis based on Python and machine learning methods. Through historical crime data, we seek to find patterns and trends that will assist law enforcement agencies in making better resource allocation decisions and also in preventing future crimes 1 We apply different machine learning algorithms to develop models capable of predicting criminal activity based on location, time, and nature of crime. The findings from our analysis will offer useful knowledge to inform strategies on community safety and crime prevention 2 . Through our research, we intend to establish the potential to improve public safety using data intensive approaches. Crime analysis and prediction is a methodical way to spotting crime. This algorithm can anticipate and depict crime prone areas. Using the notion of machine learning, we may extract previously unknown, meaningful information from unstructured data. The extraction of new information is anticipated using current datasets. Crime is a perilous and widespread societal issue that affects people all around the world. Crime has an impact on peoples quality of life, economic prosperity, and the nations reputation. To safeguard their communities from crime, modern technology and novel techniques to enhancing crime analytics are required. Karan Arya "Crime Predictions Analysis using Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79663.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79663/crime-predictions-analysis-using-machine-learning/karan-arya
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| Kubernetes Based Web Application Deployment using AWS EKS | | Author : Kalyani Sutsonkar | | Abstract | Full Text | Abstract :In the rapidly evolving digital landscape, deploying scalable, high availability web applications is crucial for businesses like car rental services. Kubernetes, a powerful container orchestration platform, enables efficient deployment, scaling, and management of microservices based applications. This paper explores the deployment of a Car Rental Web Application using Amazon Elastic Kubernetes Service AWS EKS , ensuring enhanced scalability, security, and fault tolerance. The proposed architecture leverages AWS managed Kubernetes infrastructure, auto scaling groups, load balancing, and CI CD pipelines for continuous deployment. Additionally, it incorporates AWS services such as RDS, S3, IAM, and CloudWatch for database management, storage, access control, and monitoring. The implementation aims to optimize application performance, enhance user experience, and streamline vehicle booking and management operations.The advent of chatbots powered by large language models LLMs is a major breakthrough in educational technology, providing new solutions to improve learning and teaching processes. These computer based tools offer students customized tutoring, instant responses to questions, and interactive simulations that adjust to individual learning speeds and learning styles. In classrooms, LLMs augment teachers by enabling automatic routine processes like grading, developing lesson plans, and resolving commonly asked questions, thus clearing the time to facilitate more productive student interaction. Outside conventional rooms, they provide for lifelong learning through natural conversation based interfaces, allowing education across age groups from K 12 through professional learning. LLM scalability enables access across varied demographics from K 12 students up to higher educational levels and professional courses. Yet, their use sparks issues of data privacy, the potential for disinformation, and fair access to technology. This abstract discusses how chatbots based on LLM are transforming education by enhancing interactivity, diversity, and efficacy and highlighting the importance of cautious use to confront ethical and practical issues. With evolving education, these tools can bridge divides and redefine pedagogical methods. Kalyani Sutsonkar "Kubernetes Based Web Application Deployment using AWS EKS" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79664.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79664/kubernetes-based-web-application-deployment-using-aws-eks/kalyani-sutsonkar
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| Al Powered Medical Diagnosis A Machine Learning Based Web Application | | Author : Vrushabh A. Talwekar | | Abstract | Full Text | Abstract :Diagnosis is a core part of both healthcare and care facilities, significantly reliant on techniques for the outcomes of patients. Traditional techniques usually are labor intensive manual evaluations that tend to produce a clumsy and human error prone process. These machine technologies improve the accuracy, efficiency, and availability of the diagnostic methods. With this project, the study aims to develop a web based application that uses machine learning for medical diagnosis by analyzing patient symptoms and their medical history.The machine learning models serve as the engine for the automated diagnostic assistant system harnessed through basic medical data interpretation phases. The web based setup can be accessed by both patients andhealthcare professionals anytime and anywhere, allowing for distance troubleshooting and early detection of any disease. Data acquisition and preprocessing methods employed, model selection and evaluation metric are included in the research focus in order to ensure reliability and accuracy of the proposed system. Ultimately, it is expected that real time diagnoses will be from this system, freeing medical professionals of the workload while supplementing their fidelity to the care of the patient.The primary areas of consideration included data privacy, data interpretation and practical applicability, all accompanied with a discussion on ethics in relation to patient data security and bias avoidance in machinelearning. The authors present results showing that a good machine learning model linked with a user friendly web application would significantly improve accuracy and efficiency in diagnostics. Vrushabh A. Talwekar "Al-Powered Medical Diagnosis: A Machine Learning-Based Web Application" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79665.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79665/alpowered-medical-diagnosis-a-machine-learningbased-web-application/vrushabh-a-talwekar
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| An Intelligent Educational Content Recommendation System for Personalized Learning | | Author : Krushna Pawan Hurkat | | Abstract | Full Text | Abstract :With increased digitization of learning, students are exposed to enormous amounts of web content. An intelligent education content recommendation system with personalized content can improve learning efficiency by presenting personalized learning materials. This paper discusses the design, implementation, and evaluation of an intelligent education content recommendation system based on AI and ML technologies. The system proposed takes into account user profiles, learning behavior, and factors influencing engagement to offer personalized content recommendations. Krushna Pawan Hurkat "An Intelligent Educational Content Recommendation System for Personalized Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79666.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79666/an-intelligent-educational-content-recommendation-system-for-personalized-learning/krushna-pawan-hurkat
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| LIVE STOCK PULSE Monitoring Markets in Real Time | | Author : Rahi Prajapati | | Abstract | Full Text | Abstract :This paper describes the design and implementation of a Real Time Stock Market Analysis System RTSMA that provides dynamic insights into stock market patterns. The system constantly retrieves live stock data, analyzes market sentiment, and forecasts price changes using Artificial Intelligence AI , Machine Learning ML , and Big Data. Traders and investors can now make informed judgments in real time. The system incorporates financial APIs for data collection, natural language processing NLP for sentiment analysis, and machine learning algorithms for predictive analytics. Improved prediction accuracy, more informed trading decisions, and better risk mitigation are among the projected consequences. Rahi Prajapati "LIVE STOCK PULSE: Monitoring Markets in Real Time" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79678.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79678/live-stock-pulse-monitoring-markets-in-real-time/rahi-prajapati
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| Global Warming and Climate Change | | Author : Sarang B. Jibhakate | | Abstract | Full Text | Abstract :Many researchers, engineers and environmentalists are expressing deep concerns about changes in the overall climate of the planet. Fossil fuels are being used to produce electricity. The burning of these fuel produces gases like carbon dioxide, methane and nitrous oxides and many more gases which lead to global warming. Deforestation is also leading to warmer temperatures. The hazard of global warming is continuously causing major damage to the Earths environment. Most people are still unaware of global warming and do not consider it to be a big problem in years to come. What most people do not understand is that global warming is currently happening, and we are already experiencing some of its withering effects. It is and will severely affect ecosystems and disturb ecological balance. Because of the treacherous effects of global warming, some solutions must be devised. The paper introduces global warming, elaborates its causes and hazards and presents some solutions to solve this hot issue. Above all, alternative energy sources solar, wind, hydro, geothermal, bio mass need to be seriously pursued. Finding and using renewable sources of energy is one of the methods to combat the ever increasing global warming effectively. Sarang B. Jibhakate "Global Warming & Climate Change" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79669.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79669/global-warming-and-climate-change/sarang-b-jibhakate
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| Eco Friendly Innovations Advancing Sustainability through Science and Technology | | Author : Aastha Karemore | | Abstract | Full Text | Abstract :An urgent worldwide issue that calls for creative solutions combining science and technology is environmental sustainability. In order to lessen the influence on the environment and support sustainable growth, this study investigates eco friendly solutions. The study highlights the efficiency of cutting edge developments in green materials, waste management, water conservation, and renewable energy in reducing resource depletion and climate change. The study evaluates the viability, scalability, and possible difficulties of using these solutions across different industries using an interdisciplinary approach. According to research, implementing sustainable practices powered by technology may greatly improve environmental preservation initiatives. This study adds to the expanding corpus of research on sustainable technologies and provides useful information for companies. Aastha Karemore "Eco-Friendly Innovations: Advancing Sustainability through Science and Technology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79672.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79672/ecofriendly-innovations-advancing-sustainability-through-science-and-technology/aastha-karemore
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| A Data Centric Approach to Player Performance Tracking and Team Standings in Sports Apps | | Author : Samiksha Wahane | | Abstract | Full Text | Abstract :The rapid digital shift in sports management has created a demand for advanced data driven solutions to improve tournament organizing, player performance tracking, and team ranking systems. This studys data centric approach to developing a successful tournament management system focuses on three key components team leaderboards, player leaderboards, and fixture scheduling. The goal is to increase tournament operations accuracy, efficiency, and fairness by implementing real time data processing, ranking algorithms, and dynamic scheduling systems. To produce an accurate leaderboard representation, the study collects data from match events in a systematic manner, computes player statistics, and evaluate team performance. Various ranking approaches, such as point based ranking, performance based metrics, and weighted statistical analysis, are investigated to create a fair and transparent scoring system.To assess its performance, a prototype system was created and tested using real world and simulated tournament data. The experimental results show that real time data processing improves the accuracy of individual and team rankings, providing credible information to players, coaches, and tournament organizers. Furthermore, the automated fixture scheduling system lowers human error, improves scheduling efficiency, and promotes fairness in tournament formats. The findings of this study add to the developing field of sports analytics and digital tournament management by providing a scalable, data driven, and efficient framework for administering sports tournaments. The proposed method can be included into modern sports applications to simplify tournament management, improve performance evaluation accuracy, and improve user experience. Future study may look into machine learning based ranking predictions and AI driven fixture optimization to improve the systems capabilities. Samiksha Wahane "A Data-Centric Approach to Player Performance Tracking and Team Standings in Sports Apps" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79670.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79670/a-datacentric-approach-to-player-performance-tracking-and-team-standings-in-sports-apps/samiksha-wahane
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| PosePerfect A Smart Yoga Assistant for Intelligent Pose Analysis and Adaptive Instruction | | Author : Akanksha Raut | | Abstract | Full Text | Abstract :Yoga has gained international recognition for enhancing mental health, physical strength, and flexibility. However, the ability of the practitioner to maintain correct alignment in a variety of postures is major factor in how successful is yoga. In addition to reducing the practices advantages, improper postures raise the possibility of injury. In person sessions are typically when yoga instructors provide direction and corrections. As at home practice and virtual classes have grown in popularity, practitioners frequently lack real time feedback, which makes it challenging to correct posture. In order to bridge the gap between instructor led sessions and remote practice, this research discusses the development of an AI powered yoga position monitoring system that makes use of computer vision and artificial intelligence. The suggested system tracks and analyzes users yoga positions in real time using a webcam or smartphone camera. The technology uses machine learning models like Pose Net to track important body landmarks, evaluate alignment, and give immediate feedback on pose accuracy. The feedback offers precise modifications and suggestions to assist users in properly aligning their bodies, which lowers the risk of injury and increases the practices overall advantages. Additionally, the system provides users with ongoing progress tracking, which lets them see how much theyve improved over time. In addition to improving accessibility by offering online or remote supervision, the AI based platform customizes the yoga practice by offering specific feedback and pose suggestions based on each practitioners performance. The goal of this study is to show how AI may improve the experience of practicing yoga by providing real time, individualized feedback to all users, wherever they may be. The project provides a scalable solution that transfers the knowledge of a yoga instructor into the digital sphere by incorporating open source technologies like TensorFlow and OpenCV. In order to create a solution that is safe, effective, and easily accessible for yoga practitioners, key performance criteria include pose detection accuracy, user engagement, and overall happiness. Future potential system expansions to accommodate voice feedback, numerous language options, and improved mobile integration are also covered in this study. Akanksha Raut "PosePerfect: A Smart Yoga Assistant for Intelligent Pose Analysis and Adaptive Instruction" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79671.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79671/poseperfect-a-smart-yoga-assistant-for-intelligent-pose-analysis-and-adaptive-instruction/akanksha-raut
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| Orgikart A Smart Herbal Identification and Recommendation System | | Author : Arya Dhuriya | | Abstract | Full Text | Abstract :The growing interest in herbal medicine and natural remedies has made the demand for a rapid and precise system for identifying medicinal plants essential. The Orgikart Herbal Plant Identification and Recommendation System employs machine learning and image processing techniques to recognize herbal plants from images and suggest them based on their medicinal characteristics. The system is created to assist researchers, herbalists, and general users in identifying plants quickly using mobile or web based applications. Using a trained dataset of herbal plants, the system can recognize different species and recommend their uses, benefits, and potential applications. The recommendation system also suggests the most suitable herbal plants for certain diseases or health ailments, offering users personalized suggestions. This project contributes to the herbal medicine field using contemporary technology and traditional knowledge of plants, proposing an innovative application for plant identification and medicinal suggestions. Arya Dhuriya "Orgikart: A Smart Herbal Identification and Recommendation System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79673.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79673/orgikart-a-smart-herbal-identification-and-recommendation-system/arya-dhuriya
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| Designing Effective Language Learning Websites A Learner Centered Approach | | Author : Harshal Khanke | | Abstract | Full Text | Abstract :For people who want to study a language in a flexible and convenient way, online language learning has become a vital resource. Nevertheless, a lot of current systems are devoid of individualized learning experiences, real time feedback, and interactive features. The creation of a full stack online application that uses gamification, adaptive AI driven tools, and real time assessment to improve language learning is presented in this study. The platform makes advantage of contemporary web technologies to deliver a smooth user experience, such as React.js for the front end and Node.js with Express.js for the back end. To provide tailored learning recommendations, information from user interactions, speech recognition models, and open source language datasets is used. An experimental study with language learners evaluates the system’s effectiveness, demonstrating improvements in engagement, retention, and pronunciation accuracy. The results highlight the potential of integrating AI with interactive web applications to create more efficient and engaging language learning experiences. Harshal Khanke "Designing Effective Language Learning Websites: A Learner-Centered Approach" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79674.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79674/designing-effective-language-learning-websites-a-learnercentered-approach/harshal-khanke
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| Machine Learning Powered Resume Optimization for ATS | | Author : Mrunali Bandu Vaidya | | Abstract | Full Text | Abstract :In today’s competitive job market, optimizing resumes for Applicant Tracking Systems ATS is crucial for job seekers. Many applicants struggle with keyword optimization, formatting, and alignment with job descriptions, leading to lower chances of getting shortlisted. Machine Learning Powered Resume Optimization for ATS is an AI driven software designed to create professional, ATS compliant resumes with minimal effort. The system is built using React.js and Next.js for an intuitive frontend and Java Spring Boot for efficient backend processing. It integrates the Llama 3 model hosted on Groq’s AI platform, which analyzes user inputs and generates tailored resumes based on job specific requirements. Through a structured form, users input their information, and the AI optimizes the material by making sure it is formatted correctly, has keyword enrichment, and is compatible with applicant tracking systems. Job ready resumes in a variety of formats are generated by the program, which automates the resume building process. This approach uses machine learning to increase relevance, visibility, and ranking in ATS screenings, in contrast to conventional resume generators. It increases the success rates of job applications while decreasing manual labor by simplifying resume optimization. By making sure resumes get beyond applicant tracking systems ATS and effectively reach hiring managers, this project seeks to close the gap between recruiters and job searchers. Mrunali Bandu Vaidya "Machine Learning Powered Resume Optimization for ATS" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79675.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79675/machine-learning-powered-resume-optimization-for-ats/mrunali-bandu-vaidya
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| Transforming Unstructured AI Generated Data into Structured JSON for Interview Preparation | | Author : Vividh Vishnu Darote | | Abstract | Full Text | Abstract :Hence, with the rapid increase in generative AI, quite a huge amount of unstructured data in the forms of text, logs, and answer formats are being generated. Capturing this data in the structured manner is required to support efficient storage, retrieval, and analysis. This study aims to create a system that processes unstructured AI generated data into structured JSON format and stores it in a PostgreSQL database with Java and Spring Boot. The approach is through natural language processing NLP techniques, rule based parsing, and annotation based transformation to get the relevant information while ensuring data integrity.For validation, the system was implemented in an interview preparation software, where AI generated answers, feedback, and evaluation metrics were converted into structured JSON and stored for seamless querying and analysis. Performance evaluation showed high parsing accuracy 92 , optimized database query execution 65 faster with JSONB indexing , and low latency API response times under 200ms per request .The study demonstrates that Java and Spring Boot provide an efficient solution for structuring AI generated data and integrating it into relational databases, improving data accessibility, scalability, and performance. Future enhancements will focus on real time data processing, AI driven parsing optimization, and cloud based scalability to further refine the system’s capabilities. Vividh Vishnu Darote "Transforming Unstructured AI-Generated Data into Structured JSON for Interview Preparation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79676.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79676/transforming-unstructured-aigenerated-data-into-structured-json-for-interview-preparation/vividh-vishnu-darote
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| AI Chatbots for Student Assistance Enhancing Learning through Conversational Technology | | Author : Siddhant B Nimsarkar | | Abstract | Full Text | Abstract :In todays fast paced academic environment, students often struggle with timely access to information, guidance, and support for their studies. Traditional student support systems, such as helplines and faculty consultations, can be time consuming and inefficient, leading to delays in resolving queries. To address this, we propose an AI powered chatbot designed specifically to assist students in their academic journey.Our chatbot leverages Natural Language Processing NLP and Machine Learning ML to understand and respond to student queries related to course materials, deadlines, scheduling, general academic guidance, and even mental well being support. By providing instant, 24 7 assistance, it enhances accessibility, reduces dependency on faculty for repetitive queries, and improves overall student engagement.This paper explores the development, architecture, and implementation of the chatbot, highlighting its capabilities, benefits, and limitations. We also analyze real world case studies and user feedback to assess its effectiveness in improving student experiences. The findings suggest that AI driven student assistance can significantly bridge communication gaps and contribute to a more efficient and supportive learning environment. Siddhant B Nimsarkar "AI Chatbots for Student Assistance: Enhancing Learning through Conversational Technology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79677.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79677/ai-chatbots-for-student-assistance-enhancing-learning-through-conversational-technology/siddhant-b-nimsarkar
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| ARISE Augmented Reality Interaction and Simulation Engine | | Author : Rajan A. Matulkar | | Abstract | Full Text | Abstract :By fusing digital and real world aspects together, augmented reality AR is transforming a number of industries and improving user engagement and interaction. This study describes the creation of an AR based product that makes use of interactive user interfaces, object detection, and real time 3D visualisation. Cross platform interoperability, great accuracy, and fluid rendering are all guaranteed by the systems architecture. With an average frame rate of 60 frames per second on high end devices and 30 frames per second on mid range devices, performance assessments show that the product provides real time tracking with low latency. This study shows how augmented reality AR can improve learning results, optimise industrial applications, and improve consumer experiences. The products capabilities will be further expanded in the future with AI driven personalisation, cloud based AR rendering, and multi user collaborative features. Rajan A. Matulkar "ARISE: Augmented Reality Interaction & Simulation Engine" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79679.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79679/arise-augmented-reality-interaction-and-simulation-engine/rajan-a-matulkar
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| ALUMSPHERE Your Complete Alumni Interaction and Mentorship Ecosystem | | Author : Shubham Pijdurkar | | Abstract | Full Text | Abstract :In the rapidly evolving digital landscape, maintaining and enhancing alumni connections is crucial for career development, mentorship, and professional networking. Traditional alumni networks often lack modern tools for seamless communication and engagement. This paper presents Alumni Connect, a web and mobile based platform designed to bridge these gaps by leveraging advanced software technologies. The paper outlines the platform’s objectives, technical specifications, methodologies, and expected outcomes, aiming to demonstrate its impact on fostering a connected and resourceful alumni community. Shubham Pijdurkar "ALUMSPHERE: Your Complete Alumni Interaction and Mentorship Ecosystem" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79680.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79680/alumsphere-your-complete-alumni-interaction-and-mentorship-ecosystem/shubham-pijdurkar
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| SMOOTHPAY Smart Workforce Payment Processing Platform | | Author : Shweta Ganesh Raut | | Abstract | Full Text | Abstract :One technology advancement intended to simplify and expedite business payroll procedures is automated payroll software. Payroll tasks such as tax deductions, benefits administration, employee compensation computations, and labour law compliance are all automated by it. Through the elimination of manual entry, this software improves timeliness, accuracy, and efficiency, decreasing errors and possible legal problems associated with payroll processing.The system easily interfaces with accounting, timekeeping, and human resources management systems, among other corporate functions. Numerous payroll scenarios, including overtime, commissions, bonuses, and different work schedules, can be handled using it. Additionally, automated payroll software automatically updates tax rates and reporting requirements, ensuring compliance with evolving labour and tax legislation. Reduced administrative expenses, higher data security, increased employee satisfaction due to accurate and timely payments, and improved reporting capabilities are all advantages of utilising automated payroll software. All things considered, this technology makes payroll easier, freeing up companies to concentrate on their core competencies while yet ensuring financial reporting is accurate and compliant. Shweta Ganesh Raut "SMOOTHPAY: Smart Workforce Payment Processing Platform" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79681.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79681/smoothpay-smart-workforce-payment-processing-platform/shweta-ganesh-raut
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| EDUVERSE The Conversational Learning Explorer | | Author : Tushar Padgilwar | | Abstract | Full Text | Abstract :The introduction of chatbots based on large language models LLMs in learning environments has transformed the learning process for students and the teaching process for instructors. These sophisticated AI systems provide one on one, on demand support, allowing students to interact with advanced concepts, get immediate feedback, and have access to resources based on their requirements. Utilizing natural language understanding, LLMs enable interactive learning processes, aid in language learning, and help with problem solving in different subjects. In addition, they reduce administrative workloads for teachers, enabling them to spend more time on instruction. Yet, issues of ensuring accuracy, ethical considerations, and overcoming the digital divide need to be taken into account to reap their full potential. This analysis underscores the revolutionary potential of LLM based chatbots in facilitating adaptive, inclusive, and effective education.The advent of chatbots powered by large language models LLMs is a major breakthrough in educational technology, providing new solutions to improve learning and teaching processes. These computer based tools offer students customized tutoring, instant responses to questions, and interactive simulations that adjust to individual learning speeds and learning styles. In classrooms, LLMs augment teachers by enabling automatic routine processes like grading, developing lesson plans, and resolving commonly asked questions, thus clearing the time to facilitate more productive student interaction. Outside conventional rooms, they provide for lifelong learning through natural conversation based interfaces, allowing education across age groups from K 12 through professional learning. LLM scalability enables access across varied demographics from K 12 students up to higher educational levels and professional courses. Yet, their use sparks issues of data privacy, the potential for disinformation, and fair access to technology. This abstract discusses how chatbots based on LLM are transforming education by enhancing interactivity, diversity, and efficacy and highlighting the importance of cautious use to confront ethical and practical issues. With evolving education, these tools can bridge divides and redefine pedagogical methods. Tushar Padgilwar "EDUVERSE: The Conversational Learning Explorer" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79682.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79682/eduverse-the-conversational-learning-explorer/tushar-padgilwar
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| Solar System and Solar Pannel Cost Calculator using Javascript | | Author : Prasad. P. Gautre | | Abstract | Full Text | Abstract :The demand for solar energy has been increasing due to its sustainability and cost effectiveness. However, selecting the right solar panel system and estimating its cost remains a challenge for consumers. This research presents a solar panel cost calculator using JavaScript, allowing users to estimate the total cost, payback period, and energy savings. The study focuses on developing a dynamic and user friendly web based tool using JavaScript, HTML, and APIs for real time price updates. Experimental results show that this tool improves the decision making process for solar adoption. Prasad. P. Gautre "Solar System and Solar Pannel Cost Calculator using Javascript" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79684.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79684/solar-system-and-solar-pannel-cost-calculator-using-javascript/prasad-p-gautre
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| Vidarbha Cricket Association VCA Ground Management Software | | Author : Neha Gabhane | | Abstract | Full Text | Abstract :The Vidarbha Cricket Association VCA Ground Management Software is designed to efficiently manage cricket grounds under the VCAs jurisdiction in Nagpur. The software aims to automate processes such as match scheduling, ground maintenance, pitch monitoring, and resource allocation while integrating real time weather forecasting using APIs to predict weather conditions and manage ground maintenance accordingly. The project enhances the overall efficiency of ground management, reduces manual workload, and ensures optimal playing conditions. This paper discusses the technological framework, data sources, and the methodology used to implement the software while presenting the expected benefits and comparative analysis with existing systems. Neha Gabhane "Vidarbha Cricket Association (VCA) Ground Management Software" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79685.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79685/vidarbha-cricket-association-vca-ground-management-software/neha-gabhane
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| Building a Stock Screener A Tool for Smarter Investment Strategies | | Author : Yash Krishnakumar Dwivedi | | Abstract | Full Text | Abstract :Navigating today’s fast paced financial markets means finding the best investment opportunities quickly and smartly. This research dives into creating a stock screener a flexible, user friendly tool built to sharpen investment choices. It pulls together critical financial details like price to earnings ratios, market size, dividend payouts, and stock volatility, letting users set their own filters to dig through mountains of data and spot stocks that match their goals. Crafted with Python and Django, the screener grabs up to the minute market info using web scraping and financial APIs, while React and Recharts bring the data to life with clear, interactive visuals. Designed to be both approachable for beginners and powerful for experienced investors, it strikes a practical balance. To test it, we ran mock investment scenarios, and the results show it’s a solid way to pick better portfolios and handle risks. Ultimately, this tool proves it can cut through the noise, offering a reliable, adaptable approach for making sharper, data backed moves in a tricky market. Yash Krishnakumar Dwivedi "Building a Stock Screener: A Tool for Smarter Investment Strategies" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79686.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79686/building-a-stock-screener-a-tool-for-smarter-investment-strategies/yash-krishnakumar-dwivedi
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| Innovation and Efficiency in Multi Asset Trading | | Author : Chinmay S. Bhagat | | Abstract | Full Text | Abstract :By offering traders comprehensive solutions for a variety of asset classes, multi trading platforms have completely transformed the global financial system. One such platform that makes trading in stocks, commodities, FX, and crypto currencies easy is Rockfield Trade. Compared to other industry leading platforms, this paper provides a thorough examination of Rockfield Trade, examining its functionality, user experience, security measures, regulatory compliance, and overall efficiency. The study examines how its competitive edge is derived from its trading tools, algorithmic techniques, risk management features, and liquidity provision. Additionally, the study assesses how well the platform responds to trader requests, technical advancements, and market trends. This report offers important insights into Rockfield Trades place in the changing digital trading ecosystem by examining its advantages and possible disadvantages. Chinmay S. Bhagat "Innovation and Efficiency in Multi-Asset Trading" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79687.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79687/innovation-and-efficiency-in-multiasset-trading/chinmay-s-bhagat
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| A Real Time Fleet Management System for Optimized Logistics and Operational Efficiency | | Author : Samreen Bhinder | | Abstract | Full Text | Abstract :While efficient fleet management is crucial for logistics and transportation firms, traditional methods usually lead to delays, inefficiencies, and increased operating costs. Trans Tool is a cutting edge solution that connects technical advancements and operational challenges in a field where quick decisions are crucial. In order to optimize fleet efficiency, increase driver accountability, and increase overall productivity, the study looks into how Trans Tool combines automation, data analytics, and real time GPS tracking. Modern technologies may help businesses ensure seamless fleet coordination, avoid downtime, and significantly reduce fuel use. This study delves into the impact of Trans Tool on modern fleet operations, highlighting its role in improving route planning, reducing risks, and increasing cost effectiveness. Through data driven insights and case studies, we demonstrate how real time monitoring empowers fleet managers to make informed decisions that drive productivity and customer satisfaction. As the demand for smarter logistics solutions continues to grow, Trans Tool stands out as a game changer in the industry, paving the way for a more connected and efficient transportation ecosystem. Samreen Bhinder "A Real-Time Fleet Management System for Optimized Logistics and Operational Efficiency" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79688.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79688/a-realtime-fleet-management-system-for-optimized-logistics-and-operational-efficiency/samreen-bhinder
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| Enhancing Customer Interaction A Real Time Client Inquiry and Response System | | Author : Yash Surpaithankar | | Abstract | Full Text | Abstract :Customer engagement is crucial for business success, and instant communication has become a key element of contemporary customer service. This document presents a Real Time Client Inquiry and Response System aimed at improving communication effectiveness and user satisfaction. The system is designed to enable smooth communication between clients and service providers, guaranteeing quick query resolution and enhanced response precision. Research results suggest that The system cuts responsetimeby40 in comparison to conventional inquiry management techniques. The incorporation of a systematic database management system guarantees effective storage and retrieval of queries.4Realtimeanalytics offer insights into common inquiries and patterns of user engagement. Integration across multiple platforms enables users to engage through web and mobile interfaces. The research results emphasize the systems ability to improve customer service processes, boost user interaction, and maximize resource distribution. Upcoming efforts will concentrate on enhancing system scalability, improving user interface design, and integrating advanced response mechanisms to further optimize the interaction experience. Yash Surpaithankar "Enhancing Customer Interaction: A Real-Time Client Inquiry & Response System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79689.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79689/enhancing-customer-interaction-a-realtime-client-inquiry-and-response-system/yash-surpaithankar
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| Smart Cold Storage Management for Banana Ripening using IoT Technologies | | Author : Shruti Yashwant Saraf | | Abstract | Full Text | Abstract :Bananas, being highly perishable fruits, demand precise control over ripening conditions to maintain quality and extend shelf life. The ripening process of bananas is highly temperature and humidity dependent. Conventional cold storage methods often result in inconsistent ripening, reduced shelf life, and significant economic losses. This study presents an IoT based intelligent cold storage control system for optimizing banana ripening. Operational flexibility and efficiency are ensured by the IoTs ability to monitor and control remotely. Within a ripening chamber, the system uses wireless sensors to track temperature, humidity, ethylene levels, and CO2 data. Real time data is then sent to a cloud based platform. In order to guarantee uniform ripening, machine learning algorithms automatically change temperature and humidity levels based on data analysis to predict ideal ripening circumstances. The findings of the experiment show a notable increase in shelf life, decreased energy use, and improved ripening consistency. This cutting edge system improves food quality, lowers waste, and supports sustainable farming methods, providing a promising solution for the banana supply chain. Shruti Yashwant Saraf "Smart Cold Storage Management for Banana Ripening using IoT Technologies" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79690.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79690/smart-cold-storage-management-for-banana-ripening-using-iot-technologies/shruti-yashwant-saraf
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| Enhancing Interior Spaces with AR A Study on Virtual Home Design Applications | | Author : Aman Dilip Morghade | | Abstract | Full Text | Abstract :Due to the quick advancement of technology, augmented reality AR has emerged as a revolutionary tool in interior design, allowing experts to effortlessly incorporate virtual furnishings and décor into actual environments. In order to help interior designers visualize and alter virtual things in a room, this study presents Virtual Home Designer, a web based augmented reality application powered by Django. By providing real time visualization, this approach greatly lowers design errors and lessens reliance on conventional 2D plans. Future improvements may include AI driven recommendations and more sophisticated 3D modeling techniques to further improve realism and usability. This paper examines the architecture, implementation, and practical implications of the suggested solution, highlighting its potential to improve the design workflow through an immersive and interactive experience. The results indicate that Virtual Home Designer can bridge the gap between conceptualization and execution, making the design process more efficient and client friendly. Aman Dilip Morghade "Enhancing Interior Spaces with AR: A Study on Virtual Home Design Applications" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79691.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79691/enhancing-interior-spaces-with-ar-a-study-on-virtual-home-design-applications/aman-dilip-morghade
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| Ghera World A Smart Real Estate Management System | | Author : Mohammad Talha Ansari | | Abstract | Full Text | Abstract :The real estate industry faces several challenges, including fragmented property listings, inefficient EMI management, and slow issue resolution. Ghera World is a next generation real estate platform designed to streamline property transactions, enhance financial management, and improve customer support. This research presents the development and implementation of Ghera World, an AI driven web based solution that integrates secure transactions, EMI tracking, and automated complaint resolution. Utilizing ASP.NET Core MVC, SQL Server, and AI based property recommendations, this platform ensures seamless interaction among builders, customers, and engineers. The study explores its architecture, methodologies, and expected impact on the real estate industry. Mohammad Talha Ansari "Ghera World: A Smart Real Estate Management System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79715.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79715/ghera-world-a-smart-real-estate-management-system/mohammad-talha-ansari
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| A Web Based Book Recommendation System using Hybrid Collaborative Filtering for Personalized Suggestions | | Author : Aditya Sandeep Nageshwar | | Abstract | Full Text | Abstract :Book recommendation systems are essential in the digital age for assisting users in finding pertinent books among large libraries. In order to provide individualized suggestions, this study suggests a collaborative filtering web based book recommendation system that combines item based and user based techniques. In order to increase accuracy, the system uses machine learning approaches to gather user preferences through implicit actions and explicit evaluations. Common difficulties including data sparsity, cold start concerns, and scalability problems are also covered in the study. The system is trained and evaluated using real world library borrowing records and a Kaggle dataset. The approachs efficacy is demonstrated by a number of performance indicators, including accuracy, recall, and F measure, with an enhanced F measure of 80.38 . Comparative analysis suggests that hybrid filtering techniques combining collaborative filtering with content based methods further enhance recommendation accuracy. The proposed system is designed to be deployed in libraries and online book platforms, improving user satisfaction and engagement. Aditya Sandeep Nageshwar "A Web-Based Book Recommendation System using Hybrid Collaborative Filtering for Personalized Suggestions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79692.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79692/a-webbased-book-recommendation-system-using-hybrid-collaborative-filtering-for-personalized-suggestions/aditya-sandeep-nageshwar
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| Ensuring Food Safety and Quality Control through Cold Storage Transportation | | Author : Shweta Bhagat | | Abstract | Full Text | Abstract :Ensuring food safety and quality is paramount in the food industry, particularly during transportation, where temperature control plays a critical role. Cold storage transportation system is a fundamental approach in maintaining the integrity of perishable goods, including fruits, vegetables, dairy products, meat, and pharmaceuticals. This explores the significance of cold storage systems in transportation, examining the technologies, practices, and regulatory frameworks that safeguard food safety and preserve product quality. The research delves into the challenges faced in cold chain logistics, including temperature fluctuations, system failures, and inefficiencies in monitoring and control. Additionally, the role of advanced technologies such as IoT Internet of Things , RFID Radio Frequency Identification , and AI driven analytics in optimizing cold storage operations and ensuring real time monitoring is highlighted. Through case studies and analysis, this paper emphasizes the importance of consistent temperature management, proper packaging, and timely transportation in preventing spoilage, contamination, and quality degradation. Ultimately, the study underscores the need for a robust cold storage transportation framework to mitigate risks, enhance food safety, and improve consumer confidence in the global food supply chain. A cold storage facility is a complex thermal system that works for the storing and efficient utilization food. This system relies on specialized refrigerated vehicles, advanced temperature monitoring technologies, and efficient logistics management to minimize temperature fluctuations and product spoilage. Shweta Bhagat "Ensuring Food Safety and Quality Control through Cold Storage Transportation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79693.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79693/ensuring-food-safety-and-quality-control-through-cold-storage-transportation/shweta-bhagat
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| Reducing Human Effort through Office Automation | | Author : Irum Saba Khan | | Abstract | Full Text | Abstract :In todays technology driven world of business operations and productivity tools have transformed how work gets done by making it easier to handle tasks and promoting teamwork within organizations. This investigation delves into the evolution and influence of tools that office tasks such, as organizing documents simplifying workflows enabling better communication and managing data processing efficiently. It looks closely at the technologies like AI intelligence cloud computing and RPA robotic process automation that power these automated systems, in workplaces. Moreover it emphasizes the advantages of productivity levels. Decreased human mistakes and costs savings while discussing issues, like security worries system integration and user acceptance challenges A real world example method is used to assess practical applications illustrating how automation boosts business effectiveness and decision making The results indicate that a thoughtfully crafted office automation setup can greatly enhance operational effectiveness transforming it into a key element of present day business settings. 5 The paper ends by looking to developments, in office automation and highlighting the increasing impact of AI solutions and intelligent office systems, on shaping the future of work. Irum Saba Khan "Reducing Human Effort through Office Automation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79708.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79708/reducing-human-effort-through-office-automation/irum-saba-khan
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| SolarARK Advancing Sustainable Energy with Modular Solar Solutions | | Author : Vaibhav Rokade | | Abstract | Full Text | Abstract :SolarARK is an innovative solar power solution designed to increase efficiency, stability and access to renewable power generation. The project focuses on developing a modular and scalable solar power system that integrates advanced photovoltaic techniques with intelligent energy management. Using high efficiency solar panels, AI driven adaptation, and battery storage solutions, SolarARK aims to maximize energy production, ensuring reliability in various environment. The system has been engineered for adaptability, making it suitable for residential, commercial and off grind applications. With the emphasis on cost efficiency and ease of deployment, SolarARK includes smart grid compatibility, real time monitoring and adaptive energy distribution. The project also examines the use of environmentally friendly materials and innovative panel designs to reduce environmental footprints. By reducing the gap between state of the art technology and practical implementation, SolarARK implements a future where clean and durable energy is more accessible, efficient and flexible against global energy challenges. Vaibhav Rokade "SolarARK: Advancing Sustainable Energy with Modular Solar Solutions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79709.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79709/solarark-advancing-sustainable-energy-with-modular-solar-solutions/vaibhav-rokade
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| Innovative Learning The Future of Digital Training and Upskilling | | Author : Anom Belekar | | Abstract | Full Text | Abstract :In the digital age, skill development and ongoing learning are now crucial for professional advancement and workforce flexibility. Digital learning platforms are quickly replacing traditional training and education techniques, and in some circumstances, even replacing them. With an emphasis on cutting edge technologies like gamification, microlearning, virtual and augmented reality VR AR , and adaptive learning driven by artificial intelligence AI , this study examines the future of digital training and upskilling. These technologies are changing how people learn, use, and remember information in a world that is changing quickly. The study also looks at how workforce development is affected by digital training, highlighting the necessity of lifelong learning to remain competitive in a labor market that is constantly evolving. Along with possible answers, issues like accessibility, engagement, and alignment with industry demands are also covered. According to the findings, the future of digital training and upskilling will be shaped by AI driven customization, blockchain based certifications, and immersive learning experiences, guaranteeing a more efficient and inclusive educational environment. Anom Belekar "Innovative Learning: The Future of Digital Training and Upskilling" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79711.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79711/innovative-learning-the-future-of-digital-training-and-upskilling/anom-belekar
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| STAYEASE Shattering Holidaylettings with AI driven personalization | | Author : Sahil Sheikh | | Abstract | Full Text | Abstract :The holiday let industry is undergoing a revolution, as travelers demand more efficient, hassle free, and customized holidays. The traditional booking processes cannot fulfill some of the requirements, and thus the experiences turn out to be suboptimal, leading to customer dissatisfaction. StayEase solves such problems by leveraging cutting edge artificial intelligence AI to transform holiday rental discovery, booking, and management. With the power of AI personalization, StayEase handles massive amounts of user information as prior booking history, browsing history, customer reviews, and ratings in real time. This enables the website to provide personalized accommodation suggestions based on each visitors individual preference, e.g., preferred features, location, and budget. Advanced machine learning algorithms also compute users requirements and suggest personalized experiences, e.g., nearby attractions, restaurants, and personalized itineraries. Aside from recommendations, StayEase also has AI powered chatbots and virtual assistants to provide automated support, responding instantly, fixing bookings, and providing travel recommendations. The dynamic pricing feature of the platform utilizes AI to track movement in the market, peak season demand, and competitor prices to have competitive but optimum pricing approaches for property managers and optimum value obtained for tourists. Furthermore, StayEase also improves property management through smart automation and predictive maintenance. AI based systems monitor property status, detect probable issues requiring maintenance, and pre book the same to ensure a hassle free experience for both guests and hosts. Real time guest feedback processed through machine learning algorithms offer continuous opportunities for improvement through exposing pain points and optimizing service delivery. Sahil Sheikh "STAYEASE: Shattering Holidaylettings with AI-driven personalization" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79710.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79710/stayease-shattering-holidaylettings-with-aidriven-personalization/sahil-sheikh
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| Conversational AI in Healthcare A Study on Chatbot Applications for Medical Assistance | | Author : Ravikant Pandey | | Abstract | Full Text | Abstract :Intelligent solutions that improve patient involvement and enable initial medical support have been developed as a result of the integration of artificial intelligence AI in healthcare. In order to help users with symptom analysis, disease prediction, and healthcare suggestions, this study introduces an AI Driven Smart Healthcare Chatbot. To assess user inputted symptoms, compare them to a comprehensive medical knowledge base, and deliver real time health insights, the chatbot makes use of cloud based databases, machine learning, and natural language processing NLP . By taking into account the patients history, risk factors, and lifestyle choices, the chatbot provides tailored advice in contrast to conventional symptom checker apps. The Google Maps API integrated hospital and doctor locator is another function that helps users locate local medical facilities for additional consultation. In the event that critical symptoms arise, the chatbots emergency alert system will notify pre designated contacts. Ravikant Pandey "Conversational AI in Healthcare: A Study on Chatbot Applications for Medical Assistance" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79712.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79712/conversational-ai-in-healthcare-a-study-on-chatbot-applications-for-medical-assistance/ravikant-pandey
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| Woocommerce Magic Checkout Payment Integration and Order Tracking using Payment Gateways and Woocommerce API | | Author : Subhojit Bhadra | | Abstract | Full Text | Abstract :In the era of digital commerce, smooth and secure checkout processes have become vital for any successful eCommerce store. WooCommerce, a powerful WordPress plugin, enables businesses to set up online stores with ease. This research paper explores the integration of Magic Checkout in WooCommerce, focusing on how it streamlines the payment experience. It also dives into order tracking functionalities through payment gateways and the WooCommerce REST API. The purpose is to understand how these technologies can be implemented to enhance customer satisfaction, improve conversion rates, and provide real time order updates. Subhojit Bhadra "Woocommerce Magic Checkout Payment Integration and Order Tracking using Payment Gateways and Woocommerce API" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79717.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79717/woocommerce-magic-checkout-payment-integration-and-order-tracking-using-payment-gateways-and-woocommerce-api/subhojit-bhadra
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| Cognitive Code Intelligence Redefining AI Powered Learning and Competency Assessment in Programming | | Author : Tomeshwari Kashyap | | Abstract | Full Text | Abstract :The infusion of Cognitive Code Intelligence CCI into coding education is transforming how students learn, use, and test coding competencies. This paper introduces a new AI driven learning system that learns the unique student learning curves, providing customized advice, immediate feedback, and competency based testing during the recruitment process. Relying on deep learning techniques, natural language processing NLP , and automated assessment methods, the system promotes problem solving effectiveness, debugging accuracy, and coding expertise. The research discloses that adaptive AI powered learning paths save significant learning time and enable students to learn at their optimal rate. The study also illustrates the impact of AI driven mentorship, real time debugging, and gamified problems in increasing engagement and retention. Also, AI facilitated competency testing with analytics helps ensure an accurate evaluation of coding skills, guaranteeing a streamlined and efficient learning process. This research was carried out to surpass the constraints of traditional coding education, which is usually characterized by a lack of personalized feedback, immediate error detection, and scalable assessment practices. Through a redefinition of AI driven learning and competency assessment, this study seeks to bridge the gap between theoretical knowledge and practical programming skills, equipping learners with industry needs through data driven, intelligent, and efficient means. Tomeshwari Kashyap "Cognitive Code Intelligence: Redefining AI-Powered Learning and Competency Assessment in Programming" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79713.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79713/cognitive-code-intelligence-redefining-aipowered-learning-and-competency-assessment-in-programming/tomeshwari-kashyap
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| AI Driven Adaptive MCQ Platform Revolutionizing Knowledge Assessment and Analytics Across Domains | | Author : Janvi Thakur | | Abstract | Full Text | Abstract :Rise of Artificial Intelligence is transforming knowledge testing in different regions. This research describes an AI adaptive multiple choice question platform that aspires to change knowledge testing and evaluation. The platform is intended to be utilized in both professional and non professional sectors and employs an ‘intelligent user model’ that enables automated dynamic assessments based on user’s achievement. Using AI, the platform improves the relevance of the users’ evaluations by ensuring the assessments are appropriate for the user’s expertise level. In addition, it gives assessments in real time meaning that it provides important information regarding performance patterns, knowledge deficits, and learning trends in a timely manner. The merge of intelligent analytics with adaptive assessment strategies improves the quality of evaluation and the experiences of participants in the assessment thus changing the way evaluation practices are conducted. The effectiveness of the platform in improving knowledge evaluation in different sectors is discussed in terms of design, functionality, and anticipated outcomes. Janvi Thakur "AI-Driven Adaptive MCQ Platform: Revolutionizing Knowledge Assessment and Analytics Across Domains" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79714.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79714/aidriven-adaptive-mcq-platform-revolutionizing-knowledge-assessment-and-analytics-across-domains/janvi-thakur
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| The Flexi Home Portal Integrating Smart Technologies for Seamless Living | | Author : Mahek. M. Jain | | Abstract | Full Text | Abstract :Flexi Home Renaming contemporary dwelling by means of flexible and ecological modular housing schemes. Our web portal features distinctive designs that celebrate flexibility and tailoring, helping owners design premises that change and develop with lifestyles. Browse through our collection of prefabricated, eco efficient dwellings and witness the onset of bespoke abiding. Flexi Homesimplily introduces flexible home financing options for all aspiring homeowners. Flexible Home Loan products encompassing flexi hybrid loans and savings linked schemes will help you achieve your modifications. Simplifying home finance is what our resources do best, empowering you to make decisions for a lifetime a secure and flexible one Flexi Home presents an integrated solution to contemporary living that includes flexible housing options as well as flexible financial products. Visit our site and see the future of modular homes designed for customization and sustainability. See our suite of flexible home loan solutions that give you the freedom to build or fund your dream home with confidence. Flexi Home Your partner in flexible and secure living. Flexi Home provides solutions for dynamic interior spaces. Our website showcases products and designs that maximize space utilization through adaptable furniture, movable partitions, and integrated storage. Discover how to create multi functional environments that cater to your evolving needs, transforming your home into a truly flexible living space. Mahek. M. Jain "The Flexi Home Portal: Integrating Smart Technologies for Seamless Living" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79716.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79716/the-flexi-home-portal-integrating-smart-technologies-for-seamless-living/mahek-m-jain
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| TRANSPOBOT Smart Supply Chain Communicator | | Author : Abhilash Dixit | | Abstract | Full Text | Abstract :An important development in improving customer service and operational efficiency is the introduction of Artificial Intelligence AI chatbots into the logistics sector. These AI powered solutions address questions about inventory management, delivery dates, and shipment tracking, making it simple for companies and clients to communicate. Customer satisfaction can be raised by using chatbots that use Large Language Models LLMs to give accurate and contextually relevant responses.In order to adjust to changing client needs, the deployment of such chatbot systems requires careful consideration of data privacy, system integration, and ongoing learning. The creation and use of an online chatbot logistics system are examined in this abstract, with a focus on the systems contribution to the digital revolution of the logistics industry. HTML CSS and JAVASCRIPT used for frontend and PYTHON for backend. Abhilash Dixit "TRANSPOBOT: Smart Supply Chain Communicator" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79721.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79721/transpobot-smart-supply-chain-communicator/abhilash-dixit
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| India’s Workforce Empowerment Platform IWEP Job and Skill Empowerment | | Author : Neha Shahu | | Abstract | Full Text | Abstract :The National Career Service NCS is a government initiative intended to arrange employment opportunities by correlating employability with employer opportunities on the basis of a digitized centralized network. Lunched in the umbrella of Ministry of Labour and Employment, NCS provides a variety of career related services like the posting of jobs, professional advisory services, upskilling fresh skilling, and internship experience. The platform serves diverse sets of users such as students, recent graduates, working professionals, women, differently abled individuals, and marginalized groups, ensuring inclusivity within the job market. Besides job matching, NCS also offers career counselling by qualified counsellors, organizes job fairs, and collaborates with industry experts to enhance employability of the workforce. Through the combination of technology and government resources, the NCS portal is significant in bridging the supply demand gap in the labour market, promoting economic growth, and empowering citizens with rewarding employment opportunities. Neha Shahu "India’s Workforce Empowerment Platform (IWEP): Job and Skill Empowerment" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79723.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79723/india’s-workforce-empowerment-platform-iwep-job-and-skill-empowerment/neha-shahu
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| INTELLIHIRE Intelligent Interview and Candidate Screening Platform | | Author : Sushrut Silekar | | Abstract | Full Text | Abstract :This report presents the design, development, and evaluation of an innovative virtual interview application aimed at revolutionizing the interview process across various use cases, including job interviews and college admissions. The application leverages cutting edge technologies such as ChatGPT, Node.js, React.js, AWS, and Asp. Net, C and MongoDB to streamline the interview process, enhance candidate assessment, improve the candidate experience, and reduce organizational costs. In order to accommodate remote work and social distancing measures, virtual interview solutions have become necessary due to the COVID 19 pandemics acceleration of the evolution of recruitment and employment processes. Natural language processing NLP and artificial intelligence AI technology have been included into hiring procedures as a result of this shift, enabling automated candidate evaluation. The virtual interview application developed in this study prioritizes user experience and efficiency. Through an intuitive interface and smooth communication, candidates can participate in dynamic interviews while remaining in the comfort of their own homes. The tool saves interviewers and candidates a great deal of time by automating a number of functions, including scheduling interviews, choosing questions, and scoring candidates. An organised methodology is used in the development process, which includes phases for requirement analysis, design, development, testing, deployment, and assessment. In order to ensure that the application satisfies user expectations and complies with regulations, usability testing and stakeholder feedback collecting help to make incremental adjustments. Meaning is found in the applications ability to streamline conventional interview procedures, which could result in increased productivity, lower expenses, and a better applicant experience. Through demonstrating the incorporation of cutting edge technologies and tackling ethical and legal issues, this study advances the domains of educational technology EdTech and human resources HR , opening the door for further advancements. Sushrut Silekar "INTELLIHIRE: Intelligent Interview & Candidate Screening Platform" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79722.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79722/intellihire-intelligent-interview-and-candidate-screening-platform/sushrut-silekar
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| Farmhouse Sync Immersive Smart Living and Nature Experience | | Author : Shivani Arun Rahate | | Abstract | Full Text | Abstract :Our farmhouse booking web application aims to bridge the gap between travelers seeking authentic rural experiences and farmhouse owners eager to share their hospitality. It provides a user friendly platform where travelers can easily discover and book unique stays on working farms, scenic homesteads, and charming country retreats. By simplifying the booking process and fostering direct communication, this application helps people connect with nature, support local communities, and create memorable travel experiences. Planning a countryside getaway should be easy and enjoyable. This farmhouse booking web application offers a simple and intuitive way for travelers to find and book their ideal farm stay. With a wide selection of listings, detailed information, and secure booking tools, users can effortlessly explore diverse options, compare prices and amenities, and confidently plan their perfect rural escape. The application streamlines the process of discovering and booking unique farmhouse accommodations, making it more accessible to everyone. This farmhouse booking web application is designed to fulfill the expectations of those wishing to spend some quality time in the countryside, but usually never think of staying in farms or homesteads. It provides travelers with an easy to use platform to explore and book unique stays on working farms, scenic homesteads, and charming country retreats. The application helps connect people with nature, supports local communities, and builds meaningful travel experiences by facilitating extras, such as fixing raging communication via Direct Communicating Options and simple booking. Shivani Arun Rahate "Farmhouse Sync: Immersive Smart Living & Nature Experience" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79724.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79724/farmhouse-sync-immersive-smart-living-and-nature-experience/shivani-arun-rahate
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| Enhancing Career Development through Engtern A Digital Platform for Internships and Job Opportunities | | Author : Payal Chamatkar | | Abstract | Full Text | Abstract :Engtern is an innovative digital platform dedicated to enhancing public speaking skills and professional communication. Through the provision of organized training courses, engaging materials, and practical applications, Engtern enables people to gain self assurance and proficiency in spoken communication. With AI driven recommendations, customized training modules, and real time feedback, the platform seamlessly combines contemporary web technologies to provide a learning experience. This research paper explores the technological framework, core features, user impact, and future prospects of Engtern as a transformative platform for public speaking and career growth. Payal Chamatkar "Enhancing Career Development through Engtern: A Digital Platform for Internships and Job Opportunities" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79725.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79725/enhancing-career-development-through-engtern-a-digital-platform-for-internships-and-job-opportunities/payal-chamatkar
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| Optimizing a Node.js API for Batsman Statistics A Case Study in Performance Improvement | | Author : Fiona Lazarus | | Abstract | Full Text | Abstract :This paper presents a case study on optimizing a Node.js based API responsible for retrieving batsman statistics in a cricket application. Initially, the API suffered from suboptimal response times and limited throughput due to multiple database queries and extensive data processing on the server side. We implemented targeted optimizations, including database level aggregations, selective column retrieval, and reduced query overhead. Post optimization tests revealed a notable increase in requests per second from ~11.43 to ~14.30 and a decrease in average response time from ~182 ms to ~155 ms , demonstrating the effectiveness of the proposed approach. Fiona Lazarus "Optimizing a Node.js API for Batsman Statistics: A Case Study in Performance Improvement" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79726.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79726/optimizing-a-nodejs-api-for-batsman-statistics-a-case-study-in-performance-improvement/fiona-lazarus
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| DaMEDITRACK Revolutionizing Pharmaceutical Management with Advanced Technology | | Author : Sejal A. Lakhe | | Abstract | Full Text | Abstract :In order to decrease inefficiencies and guarantee the timely availability of pharmaceuticals, Medicinal supply chain management is essential. Significant obstacles that the industry is currently facing that supply chain delays, stock mismanagement, and availability problems. A cutting edge full stack application called DaMEDITRACK The Ultimate PharmaTech Solution aims to transform pharmaceutical operations. DaMEDITRACK offers a smooth, automated, and scalable solution by combining state of the art technologies like MySQL for safe and effective database administration, Spring Boot for backend management, and an easy to use user interface with HTML, CSS, and JavaScript.This study explores DaMEDITRACK methods, architecture, and advantages for maximising medication distribution, expediting order processing, and guaranteeing legal compliance. This research paper delves into the architectural framework, methodologies, and benefits of DaMEDITRACK in optimizing drug distribution, streamlining order management, and ensuring regulatory compliance. The system enhances efficiency, reduces human errors, and ultimately improves patient outcomes by providing a digitized approach to pharmaceutical supply chain management. Sejal A. Lakhe "DaMEDITRACK: Revolutionizing Pharmaceutical Management with Advanced Technology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79727.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79727/dameditrack-revolutionizing-pharmaceutical-management-with-advanced-technology/sejal-a-lakhe
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| Empowering Rural Communities A Case Study of Majha Gaon Udyog Foundation | | Author : Shrirang M Raut | | Abstract | Full Text | Abstract :The Majha Gaon Udyog Foundation GMUF is a pioneering rural development program that aims to promote entrepreneurship and sustainable industrialization in Indian villages. This study examines GMUFs goal of reducing economic gaps between urban and rural areas by reviving small scale manufacturing, agro based sectors, and traditional crafts. GMUF enables rural farmers and craftsmen, especially women, to attain financial independence and conserve cultural heritage through skill development programs, microfinance assistance, and digital market connections. Over 8,000 livelihoods have been created, household incomes in the targeted regions have increased by 40 , and eco friendly activities like recycling waste and using solar energy have been promoted, according to an examination of GMUFs initiatives. However, scaling is hampered by issues including scarce finance, technological obstacles, and competition from mass produced items. A case study of GMUF’s handloom revival project in Odisha underscores its success in boosting revenue by 200 while safeguarding traditional weaving techniques. Aligning with the United Nations Sustainable Development Goals SDGs 1, 5, 8, and 12 , GMUF’s community centric model highlights the potential of grassroots industrialization to drive equitable growth. This paper advocates for stronger public private partnerships, policy advocacy, and digital literacy programs to amplify GMUF’s impact, offering insights for stakeholders invested in rural empowerment and sustainable development. Shrirang M Raut "Empowering Rural Communities: A Case Study of Majha Gaon Udyog Foundation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79728.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79728/empowering-rural-communities-a-case-study-of-majha-gaon-udyog-foundation/shrirang-m-raut
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| The Rise of E Notes Transforming Note Taking in the Digital Age | | Author : Anisha Gupta | | Abstract | Full Text | Abstract :The E Notes project is a Java based digital note management system designed to offer a centralized and organized platform for users to create, store, manage, and edit their notes. The project leverages Java technologies, including Servlets and JDBC, and integrates a MySQL database for efficient data handling. This paper discusses the implementation, features, and benefits of the system while highlighting the role of digital solutions in enhancing note taking efficiency. The findings suggest that E Notes provides a secure, user friendly, and scalable alternative to traditional note taking methods. Anisha Gupta "The Rise of E-Notes: Transforming Note-Taking in the Digital Age" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79729.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79729/the-rise-of-enotes-transforming-notetaking-in-the-digital-age/anisha-gupta
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| Visualizing Influence A Framework for Social Media Analytics Dashboards | | Author : Aniket K. Mungle | | Abstract | Full Text | Abstract :Social media tools are important for marketing and business interactions. Understanding social media trends puts businesses and marketers in a favorable position. The Social Media Analytics dashboard was developed to help users monitor multiple social media sites and get data driven outcomes. It provides analytics composition from Facebook, Twitter, Instagram, LinkedIn, and others. Included is user engagement, follower increase, post sentiments, and demographic information. This also makes complex data easy to interpret with use of advanced data visualization tools like graphs, charts, or heat maps. In addition, users can adjust their strategies immediately with real time data monitoring.With the Social Media Analytics Dashboard individuals and businesses can refine their content, marketing strategies, and customer relations. The tool also helps in pinpointing the KPIs, monitoring competition, and evaluating audience feelings. Consequently, users are able to shift engagement rates, ROI from advertising, and online presence for the better. Ultimately, the dashboard facilitates strategic control of social media undertakings. Aniket K. Mungle "Visualizing Influence: A Framework for Social Media Analytics Dashboards" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79743.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79743/visualizing-influence-a-framework-for-social-media-analytics-dashboards/aniket-k-mungle
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| Community Platform for Placement Preparation | | Author : Pooja Naranje | | Abstract | Full Text | Abstract :A web based tool called the Community Platform for Placement Preparation was created to help college students successfully navigate the placement procedure. With the help of this platform, students may engage in a collaborative learning environment, exchange experiences, and gain access to a multitude of resources designed specifically for placement preparation. Users can participate in conversations, look for answers to their questions, and gain knowledge from peers and industry experts insights. By providing a wealth of study resources, such as company reviews, frequently asked interview questions, and preparation advice, the site helps students pinpoint their areas of strength and growth. Students can close gaps between academic knowledge and industry needs and improve their readiness for placement prospects by utilizing this community driven strategy. Pooja Naranje "Community Platform for Placement Preparation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79730.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79730/community-platform-for-placement-preparation/pooja-naranje
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| Department Master of Computer Application, G. H. Raisoni University, Amravati, Maharashtra, India | | Author : Deepali Durge | | Abstract | Full Text | Abstract :The Bank Management System with Artificial Intelligence is a smart, secure, and scalable platform designed to automate core banking operations using Python based AI models. The system handles customer onboarding, loan eligibility prediction, fraud detection, and credit scoring with enhanced accuracy. Integrated with machine learning algorithms and data analytics, it empowers banks to make data driven decisions, improve customer service, and manage risks effectively. Real time transaction monitoring, predictive analytics, and chatbot services improve operational efficiency and client satisfaction. The Python based system is modular, secure, and can be deployed over cloud infrastructure to ensure performance and reliability. Future upgrades may include blockchain integration for transaction security and deep learning models for advanced behavioral analytics. Deepali Durge "Department Master of Computer Application, G. H. Raisoni University, Amravati, Maharashtra, India" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79749.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79749/department-master-of-computer-application-g-h-raisoni-university-amravati-maharashtra-india/deepali-durge
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| MSSEA A Mobile First Approach to Personalized Healthcare and Seamless Medical Consultation | | Author : Pragati A. Khonde | | Abstract | Full Text | Abstract :This program has a symptom analyzer that interprets the symptoms entered by the patient and suggests the medicines or the medical professionals against the symptoms. Although it is quite difficult to remember anything in the contemporary world, with the medicine reminder the users do not have to remember the dose of medicines for themselves. Various types of accounts guarantee data security through enabling user access to only such information for which they are privileged, hence data integrity is extremely valuable. This application also encompasses a chat space where patients may see physicians, dont need to queue up in the medical clinic, make payments with wallets, and There is an android application, Health Care Application, which will render people within reach of the medical assistance through providing them timely and precise solutions. Physicians, patients, medicines, drugs, and medical gadget vendors are all using the application for health care. The Health Care Application idea will give the users all the facilities at any time and place they prefer, due to the widespread use of cell phones. As the world has been technologically advanced today, every problem has to be solved by a speedy, digital method, therefore every crisis need has to be solved in a reachable way. if wished, use health insurance services. The physician may also see medical history and can monitor the patients health status in real time. Pragati A. Khonde "MSSEA: A Mobile-First Approach to Personalized Healthcare and Seamless Medical Consultation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79744.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79744/mssea-a-mobilefirst-approach-to-personalized-healthcare-and-seamless-medical-consultation/pragati-a-khonde
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| DrivenMetrics AI powered Automotive Sales Insights | | Author : Aayush Banthulalshahare | | Abstract | Full Text | Abstract :The car industry is quickly advancing, with Manufactured Insights AI and information analytics playing a significant part in changing conventional car deals methodologies. As showcase requests vacillate due to different financial, social, and mechanical components, businesses must embrace AI driven approaches to optimize deals execution and upgrade client encounters. This investigate investigates how AI based analytics make strides deals estimating, stock administration, and client engagement, driving to more data driven decision making. AI powered apparatuses such as Normal Dialect Handling NLP and estimation investigation offer assistance businesses extricate experiences from client audits and online input, permitting for more successful promoting and client relationship administration. Real time information handling too empowers dealerships and producers to alter estimating methodologies, oversee stock proficiently, and react to showcase changes with more prominent deftness. Moreover, outside components like intrigued rates, fuel costs, and financial patterns altogether impact car deals, and AI driven information analytics offer assistance businesses get it and adjust to these factors. Aayush Banthulalshahare "DrivenMetrics: AI-powered Automotive Sales Insights" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79745.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79745/drivenmetrics-aipowered-automotive-sales-insights/aayush-banthulalshahare
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| Health Insurance Premium Prediction System | | Author : Devarshish Awari | | Abstract | Full Text | Abstract :Health insurance is one fundamental financial product that offers individuals protection against medical costs. Yet setting a reasonable premium for a policyholder is not a simple task, as it is dependent on a number of variables including age, medical background, lifestyle, and other demographic characteristics. The Health Insurance Premium Prediction System proposes to make this process simpler and more efficient with the use of data analysis and predictive models to forecast insurance premiums effectively. This web based application allows users to enter applicable personal and medical information, which is processed through a predictive model to generate an estimated premium amount. The application offers customized insurance recommendations based on user profiles with fair and data based pricing. Administrators can also administer insurance plans, claims, and user information with security and compliance with industry standards. Devarshish Awari "Health Insurance Premium Prediction System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79750.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79750/health-insurance-premium-prediction-system/devarshish-awari
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| Farm Connect Bridging the Gap Between Farmers and Consumers through Digital Marketplaces | | Author : Bhavesh Mohatkar | | Abstract | Full Text | Abstract :The agricultural sector faces significant challenges in connecting small scale farmers directly with consumers and retailers, often leading to inefficiencies, price disparities, and market access limitations. A proposed digital marketplace called Farm Connect Online aims to close this gap by utilizing e commerce technology to develop a scalable, transparent, and effective platform for agricultural trade. With the use of this website, farmers may post their produce dairy, cattle, and crops and buyers consumers, retailers, and wholesalers can browse, haggle, and buy straight from the source, cutting out middlemen. Real time inventory management, safe payment processing, logistical coordination, and a recommendation system driven by AI to balance supply and demand are some of the key features. Farm Connect Online strives to empower farmers with fair pricing, minimize food waste, and improve supply chain traceability by combining user friendly mobile and web interfaces. The platforms architecture, socioeconomic effects, and potential to transform agricultural commerce through digital inclusion are all covered in this article. Bhavesh Mohatkar "Farm Connect: Bridging the Gap Between Farmers and Consumers through Digital Marketplaces" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79746.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79746/farm-connect-bridging-the-gap-between-farmers-and-consumers-through-digital-marketplaces/bhavesh-mohatkar
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| Role of Research Based Curriculum in Design Education | | Author : Abhishek Dilip Gillurkar | | Abstract | Full Text | Abstract :A research based curriculum is essential in the changing scene of design education for students to acquire critical thinking, problem solving, and creative abilities. By including design inquiry, user centered approaches, and evidence based tactics into the learning process, this method helps to close the gap between theory and practice. It encourages students to develop significant and long lasting design solutions by fostering a deeper knowledge of technological, social, and cultural backgrounds. A research oriented curriculum promotes intellectual curiosity and helps students to meet real world challenges with informed creativity by means of experimentation and reflection. Research based curriculum in design education are studied in this article for their impact, advantages, and adoption plans, thereby emphasizing their importance in molding the next generation of design thinkers and professionals. Abhishek Dilip Gillurkar "Role of Research-Based Curriculum in Design Education" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79747.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79747/role-of-researchbased-curriculum-in-design-education/abhishek-dilip-gillurkar
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| AI Powered Legal Document Analysis System | | Author : Dattatray S Panghate | | Abstract | Full Text | Abstract :The increasing Complication and volume of legal Policies pose significant challenges for legal professionals, requiring extra time and effort for analysis, classification, and compliance checks. This research presents an AI powered Legal Document Analysis System that leverages Natural Language Processing NLP and Machine Learning ML to automate the extraction, summarization, and classification of legal texts. The system is designed in this way to enhance or achieve efficiency by identifying key legal Policies, detecting bugs, and ensuring regulatory policy compliance. Additionally, it incorporates semantic search and predictive analytics to provide similar legal insights. The proposed model aims to decrease manual workload, minimize errors, and improve decision making in the legal area domain.Experimental results demonstrate that the system significantly improves accuracy and processing speed compared to traditional methods. Dattatray S Panghate "AI-Powered Legal Document Analysis System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79748.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79748/aipowered-legal-document-analysis-system/dattatray-s-panghate
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| Shuffling Probabilities 52 Cards | | Author : Gautam Daga | | Abstract | Full Text | Abstract :The 52 Cards project is a dynamic and interactive web application designed to simulate a standard deck of playing cards, providing users with functionalities such as shuffling, sorting, drawing, and customizing gameplay experiences. Developed using HTML, CSS, and JavaScript for the frontend, the project ensures a responsive and engaging user interface, enhanced further with the power of React.js for component based architecture and state management. On the backend, technologies like Node.js and Django FastAPI are employed to handle API integration, user sessions, real time updates, and potential multiplayer interactions. This system serves both as an educational tool for understanding probability and card logic, and as a foundation for building card based games or simulations. The project highlights the seamless integration of modern web technologies to offer a scalable, modular, and user centric digital solution that mimics the versatility of a real world 52 card deck. Gautam Daga "Shuffling Probabilities: 52 Cards" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79751.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79751/shuffling-probabilities-52-cards/gautam-daga
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| Sentiment Analysis and Stock Price Correlation An Analytical Approach using NLP and Financial Data | | Author : Himanshu Anil Kumar Chauhan | | Abstract | Full Text | Abstract :Financial markets are increasingly influenced by investor perception and sentiment, which can be extracted and quantified using advanced Natural Language Processing NLP methodologies. This study explores the dynamic interplay between sentiment derived from financial news headlines and the corresponding stock prices of major Indian corporations, with a focused analysis on DLF and Adani Enterprises. Utilizing sentiment analysis models and computing Pearson correlation coefficients, the research aims to identify statistically significant relationships that may serve as early indicators for market behavior. The sentiment scores are transformed into a unified numerical representation to reflect directional and intensity based nuances. Temporal smoothing using moving averages is also incorporated to filter market noise. The findings, supported by visual representations, suggest that sentiment analysis offers a valuable, complementary lens to traditional quantitative models in understanding stock price fluctuations. Himanshu Anil Kumar Chauhan "Sentiment Analysis and Stock Price Correlation: An Analytical Approach using NLP and Financial Data" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79752.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79752/sentiment-analysis-and-stock-price-correlation-an-analytical-approach-using-nlp-and-financial-data/himanshu-anil-kumar-chauhan
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| An Intelligent System for Playground Booking and Management Real Time Scheduling and Secure Payment Solutions | | Author : Gayatri Borkar | | Abstract | Full Text | Abstract :The goal of the Seamless Online Playground Booking System is to make bookings for sports facilities and playgrounds more efficient. This system offers a user friendly, automated web platform, doing away with the necessity for human booking. Users can choose playgrounds, examine available time slots, and make reservations instantly. By avoiding overbooking, cutting down on administrative burden, and enhancing customer experience generally, the method guarantees efficiency. Through an easy to use admin panel, administrators may change availability, manage reservations, and approve or reject reservations. The platform is built using a responsive HTML CSS JavaScript frontend and a Python based backend Flask Django . Additionally, it incorporates SQL databases for availability, booking history, and user data management. Playground reservations are made easy and effective with this solutions improved ease, real time updates, and secure data management.The increasing demand for organized recreational activities has highlighted inefficiencies in traditional playground booking methods, such as double bookings, underutilization, and scheduling conflicts. This project proposes a Seamless Online Playground Booking System SOBS that automates the reservation process, enhances accessibility, and optimizes resource utilization through AI driven scheduling and real time availability tracking. A pilot study conducted in urban recreational facilities demonstrated a 40 reduction in booking conflicts and a 25 increase in playground utilization. The results suggest that this system can significantly enhance the efficiency of sports facility management, reducing administrative overhead while providing a seamless user experience. Gayatri Borkar "An Intelligent System for Playground Booking and Management: Real-Time Scheduling and Secure Payment Solutions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79761.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79761/an-intelligent-system-for-playground-booking-and-management-realtime-scheduling-and-secure-payment-solutions/gayatri-borkar
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| NEURAL NEBULA An AI Powered Space Quiz | | Author : Gayatri Khandare | | Abstract | Full Text | Abstract :The Space Quiz Bowl Orbit Project is an engaging and educational initiative designed to challenge participants knowledge of space science and exploration. This project provides a distinctive, interactive method for students and hobbyists to explore the universe by fusing the thrill of a quiz contest with the glories of space. In order to assess their knowledge of astronomy, space missions, and cosmic phenomena, teams will circle around important space related subjects. By stimulating curiosity and a greater understanding of the cosmos, the project hopes to motivate participants to keep studying, exploring, and aiming high. A competitive quiz bowl competition focused on the history of space exploration, astronomy, and celestial phenomena is being created by the interactive scholarship project Space Quiz Bowl Orbit. The project aims to inspire curiosity and foster a deeper appreciation for the universe, encouraging participants to keep exploring, learning, and reaching for the stars.Space Quiz Bowl Orbit is an interactive scholarship project creating a competitive quiz bowl tournament with an emphasis on the history of space exploration, astronomy, and celestial phenomena. Teams will orbit across rounds of challenging questions, supporting STEM education and engaging students in celestial discovery.This project seeks to create an exciting, competitive platform for knowledge sharing and space enthusiast community building.Space education is hindered by poor student engagement and knowledge retention. This research presents Space Quiz Bowl Orbit, a quiz game that is interactive and aims to improve space education engagement and knowledge retention. Gayatri Khandare "NEURAL NEBULA: An AI-Powered Space Quiz" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79762.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79762/neural-nebula-an-aipowered-space-quiz/gayatri-khandare
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| Seamless Multi Modal Transport Integration of Metro, Buses, Bicycles, Ride Sharing, and EV Scooters through One Digital Platform | | Author : Pranshu Sharadkumar Baghele | | Abstract | Full Text | Abstract :The growing sophistication of urban mobility requires a seamless and integrated transport system that can efficiently link various modes of transportation. This paper suggests a digital platform that brings buses together with metro systems, bicycles, ride sharing, and electric scooters to improve accessibility, alleviate congestion, and enhance sustainable urban transport. The solution utilizes a real time data sharing system, AI optimized routes, and an integrated ticketing system to facilitate convenient travel across various transport modes. The research analyzes the effect of such integration on efficiency, cost reduction, environmental sustainability, and convenience for users. The results show that an integrated multi modal transport system can enhance urban mobility and minimize reliance on private cars. Pranshu Sharadkumar Baghele "Seamless Multi-Modal Transport: Integration of Metro, Buses, Bicycles, Ride-Sharing, and EV Scooters through One Digital Platform" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79763.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79763/seamless-multimodal-transport-integration-of-metro-buses-bicycles-ridesharing-and-ev-scooters-through-one-digital-platform/pranshu-sharadkumar-baghele
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| Optimizing E commerce Transactions through WooCommerce Smart Checkout and Real Time Order Monitoring via RESTful APIs | | Author : Harsh Bodile | | Abstract | Full Text | Abstract :An online shopping continues to grow, creating a fast, secure, and user friendly checkout experience is vital for increasing conversion rates and maintaining customer satisfaction. WooCommerce, a popular WordPress based eCommerce solution, offers a range of plugins and APIs to support such enhancements. The research investigates the use of a Smart Checkout solution in WooCommerce, aimed at minimizing steps in the transaction process. It also explores the integration of multiple payment gateways and the utilization of WooCommerce RESTful API for real time order tracking. The goal to provide a robust model for optimizing the purchasing workflow and backend order management. The outcome is a practical framework that improves transparency, reduces friction in payments, and enhances operational efficiency. Harsh Bodile "Optimizing E-commerce Transactions through WooCommerce Smart Checkout and Real-Time Order Monitoring via RESTful APIs" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79767.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79767/optimizing-ecommerce-transactions-through-woocommerce-smart-checkout-and-realtime-order-monitoring-via-restful-apis/harsh-bodile
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| QR Code Email System A Secure and Efficient Approach to Digital Communication | | Author : Ranu Yadav | | Abstract | Full Text | Abstract :This research paper presents an in depth analysis of a dynamic QR code email system implemented using Angular for the frontend and Node.js with Express.js for the backend. The system enables users to input multiple email addresses and send QR codes containing personalized URLs, facilitating targeted communication and engagement. The backend is designed to track email interactions with precise timestamps, ensuring efficient monitoring of user engagement. MongoDB is employed for persistent storage, offering a scalable and flexible database solution.The study explores the motivation behind developing such a system, detailing its methodology, implementation process, and key results. Additionally, it addresses security concerns, emphasizing the importance of data protection and secure email distribution. The paper further discusses the system’s technical architecture, covering aspects such as API design, data flow, and integration challenges. Scalability considerations are analysed to assess how the system can handle increased traffic and large scale deployments.Beyond the technical framework, this research delves into cybersecurity implications, highlighting potential threats and mitigation strategies to prevent data breaches and unauthorized access. User behaviour analytics are also examined, providing insights into how recipients interact with the QR codes and the impact of personalized marketing strategies. The study also presents various real world applications of this system, including its use in corporate communications, event management, targeted advertising, and secure document sharing. Overall, this paper underscores the significance of dynamic QR code email systems in enhancing personalized marketing, improving information distribution, and ensuring secure digital interactions. Ranu Yadav "QR Code Email System: A Secure and Efficient Approach to Digital Communication" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79764.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79764/qr-code-email-system-a-secure-and-efficient-approach-to-digital-communication/ranu-yadav
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| A Convolutional Neural Network Based Framework for Accurate Skin Cancer Detection | | Author : Sanjana Rajesh Bharati | | Abstract | Full Text | Abstract :Skin cancer represents a significant global health concern, with early diagnosis being crucial for effective management and treatment outcomes. This project introduces SpotVision.AI Skin Cancer Detection a system that utilizes image processing and deep learning techniques to identify and classify various types of skin cancers accurately while keeping it deployable. At the core of this system are Convolutional Neural Networks CNNs , particularly the Inception V3 model, known for its efficiency in processing complex image data. The system is meticulously trained on a comprehensive dataset of dermoscopic images to detect key skin cancer types such as melanoma, basal cell carcinoma BCC , and squamous cell carcinoma SCC . This approach has demonstrated promising results in improving the early detection capabilities, significantly contributing to potential reductions in mortality rates. Furthermore, SpotVision.AI features a user friendly interface that allows for easy image upload and instant display of diagnostic results, enhancing the accessibility and efficiency of skin cancer screenings. Skin cancer is one of the most prevalent cancers globally, and its early detection is crucial for effective treatment and patient survival. This research explores the application of machine learning algorithms for predicting skin cancer using image based data. Leveraging the power of convolutional neural networks CNNs and traditional classifiers like Support Vector Machines SVM , the study aims to classify skin lesions into benign and malignant categories. The model is trained and validated using the ISIC dataset, and its performance is evaluated based on accuracy, precision, recall, and F1 score. The results demonstrate the efficacy of machine learning in aiding dermatological diagnoses, potentially enabling faster and more accurate detection of skin cancer. Sanjana Rajesh Bharati "A Convolutional Neural Network-Based Framework for Accurate Skin Cancer Detection" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79765.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79765/a-convolutional-neural-networkbased-framework-for-accurate-skin-cancer-detection/sanjana-rajesh-bharati
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| Intelligent Fraud Detection Systems A Data Centric Approach to Anomaly Identification, Risk Reduction, and Financial Security in Digital Transactions | | Author : Sneha Balla | | Abstract | Full Text | Abstract :Fraudulent activities have become increasingly sophisticated and prevalent in today’s digital world, posing significant threats to financial institutions, e commerce platforms, and individuals. This project focuses on the development and implementation of intelligent fraud detection systems aimed at identifying suspicious behaviors in financial transactions and other digital interactions, such as online comments and communications.The primary objective is to leverage machine learning and data analytics techniques to detect and prevent fraudulent activities in real time. For financial transactions, the system analyzes patterns such as transaction amount, frequency, location, and user behavior to detect anomalies that may indicate credit card fraud or identity theft. In the case of online platforms, natural language processing NLP techniques are applied to identify and flag spam comments, phishing messages, and other forms of malicious content.The project involves the collection and preprocessing of datasets containing both legitimate and fraudulent examples. Various supervised and unsupervised learning algorithms such as Logistic Regression, Decision Trees, Random Forests, and Neural Networks are trained and tested for accuracy, precision, recall, and F1 score. For spam detection, NLP models are trained on comment datasets using techniques like TF IDF, word embeddings, and classification algorithms such as Naive Bayes and Support Vector Machines SVM .This fraud detection system aims to be adaptable, efficient, and scalable across various domains. By incorporating real time detection and feedback loops, it can evolve with emerging fraud patterns. The project emphasizes the importance of reducing false positives and maintaining user trust by ensuring high accuracy and minimal disruption to legitimate users.In conclusion, this project provides a comprehensive solution to detect fraudulent activities using data driven methods. It showcases the potential of artificial intelligence in securing digital platforms and enhancing trust in financial and online communication systems. Sneha Balla "Intelligent Fraud Detection Systems: A Data-Centric Approach to Anomaly Identification, Risk Reduction, and Financial Security in Digital Transactions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79766.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79766/intelligent-fraud-detection-systems-a-datacentric-approach-to-anomaly-identification-risk-reduction-and-financial-security-in-digital-transactions/sneha-balla
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| Open Source Professional A Comprehensive Software Coaching Platform | | Author : Harshal Meher | | Abstract | Full Text | Abstract :The demand for high quality software coaching platforms is rapidly growing as the software industry continues to expand. This paper presents the development of Open Source Professional, a platform designed to provide software coaching classes, program task arrangements, course sales, and valuable content related to the software field. The application integrates features inspired by platforms like Leedcord, aiming to offer an effective learning and task management environment for both students and professionals. The proposed system aims to enhance the process of learning, task management, and resource sharing by employing a user friendly interface, robust backend technologies, and efficient data management mechanisms. The research highlights the systems architecture, technological stack, implementation strategy, and benefits over existing platforms. Experimental results demonstrate the effectiveness of the proposed system in improving user engagement, learning outcomes, and overall satisfaction. Harshal Meher "Open Source Professional - A Comprehensive Software Coaching Platform" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79768.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79768/open-source-professional--a-comprehensive-software-coaching-platform/harshal-meher
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| E commerce VENDOR SYSTEM | | Author : Hausa Tajane | | Abstract | Full Text | Abstract :The rapid proliferation of e commerce platforms has transformed the traditional business landscape, providing vendors with unprecedented access to global markets. Despite this growth, small and medium sized vendors often lack comprehensive systems to manage inventory, track sales, and analyses performance. This paper presents the design and development of an E commerce Vendor System that facilitates vendor onboarding, product catalos’ management, real time order tracking, secure payment processing, and performance analytics. The research emphasizes usability, security, scalability, and integration capabilities, offering a solution adaptable for diverse business needs. Hausa Tajane "E-commerce VENDOR SYSTEM" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79769.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79769/ecommerce-vendor-system/hausa-tajane
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| Solar System and Solar Pannel Cost Calculator | | Author : Isha Bisane | | Abstract | Full Text | Abstract :The demand for solar energy has been increasing due to its sustainability and cost effectiveness. However, selecting the right solar panel system and estimating its cost remains a challenge for consumers. This research presents a solar panel cost calculator using JavaScript, allowing users to estimate the total cost, payback period, and energy savings. The study focuses on developing a dynamic and user friendly web based tool using JavaScript, HTML, and APIs for real time price updates. Experimental results show that this tool improves the decision making process for solar adoption. Isha Bisane "Solar System and Solar Pannel Cost Calculator" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79770.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79770/solar-system-and-solar-pannel-cost-calculator/isha-bisane
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| Bridging Gaps In Edutech A User Centered Redesign of the Internmeet Website | | Author : Riya Pravin Kamdee | | Abstract | Full Text | Abstract :The rapid growth of online education and job seeking platforms has necessitated the redevelopment of Internmeet, an EdTech website that bridges the gap between students and employment opportunities. This paper explores the redesign process, focusing on integrating certified courses, internship opportunities, and job listings. The paper further analyzes the platforms impact, performance improvements, and potential future enhancements. Future enhancement involves increasing mobile accessibility and incorporating multilingual functionality to reach the global market. Riya Pravin Kamdee "Bridging Gaps In Edutech: A User-Centered Redesign of the Internmeet Website" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79813.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79813/bridging-gaps-in-edutech-a-usercentered-redesign-of-the-internmeet-website/riya-pravin-kamdee
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| Black Friday Featuring Engineering | | Author : Jay S. Masurkar | | Abstract | Full Text | Abstract :An important sales occasion that provides information on customer behavior and buying trends is Black Friday. With the rise of big data analytics and machine learning, retailers may exploit previous transaction data to optimize their marketing tactics and inventory management. In order to improve predictive modeling for sales forecasting and customer segmentation, this study focuses on feature engineering techniques applied to Black Friday sales data. Purchase quantities, product categories, and consumer demographics are all included in the dataset. To increase model accuracy, a variety of data pre processing techniques were used, including as addressing missing values, encoding category characteristics, and creating new predictive variables. We find important buying patterns impacted by age, gender, and city categories using exploratory data analysis EDA . To forecast purchasing behavior, the study makes use of machine learning models such as random forests, decision trees, and linear regression. The findings show that feature engineering has a major effect on model performance, with some changes improving prediction accuracy. Businesses can obtain more profound insights into customer behavior by optimizing data for machine learning applications. This enables them to provide tailored advice and focused marketing. This study offers a path for further retail analytics research by taking an organized approach to data translation and preprocessing. Future work includes combining deep learning models and real time data processing to further refine forecasting capabilities. Jay S. Masurkar "Black Friday Featuring Engineering" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79771.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79771/black-friday-featuring-engineering/jay-s-masurkar
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| Uber Data Analytics Unlocking Insights for Smarter Transportation | | Author : Khushi Gaware | | Abstract | Full Text | Abstract :During the age of big data, companies such as Uber, which offer ride hailing services, produce enormous amounts of data that can be used to derive useful insights. This study investigates Uber data analytics, examining trip patterns, demand forecasting, price strategy, and user behavior. Through analyzing datasets that contain ride details such as pickup and drop off points, timestamps, fare rates, and user ratings, this research will identify trends that can maximize Ubers operations and improve user experience. The research utilizes different data analytics methods, such as exploratory data analysis EDA , machine learning algorithms, and visualization, to derive insights. EDA is used to determine peak demand times, hotspots, and seasonal ride request variations. Khushi Gaware "Uber Data Analytics : Unlocking Insights for Smarter Transportation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79772.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79772/uber-data-analytics--unlocking-insights-for-smarter-transportation/khushi-gaware
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| Lost Items Retrieve System | | Author : Kiran Devidas Vaidya | | Abstract | Full Text | Abstract :In this paper, an innovative Automated Lost and Found System is presented which revolutionizes the Lost item recovery process. A dedicated app allows users to easily upload their lost item details to all enrolled users. The system uses peer to peer communication and allows users losing an item to contact the owner directly, without the need of manually searching. This automated approach not only improves efficiency but also fosters a collaborative community that quickly recovers items in Diverse settings. The proposed system breaks away from the traditional methods by enabling users to directly upload lost item details without the need of having to report them through the centralized reporting paradigm. Peer to peer communication integration helps integrate the recovery process and reduces Delays and complexities. The automation of the system is a user friendly solution that relieves the burden of the people who have lost their Items. The system goes beyond efficiency It creates community collaboration and Builds community bonds. We then delve into our system’s technical aspects The Features of our mobile app and the peer to peer communication protocol. Kiran Devidas Vaidya "Lost Items Retrieve System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79773.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79773/lost-items-retrieve-system/kiran-devidas-vaidya
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| Securing the Cloud Strategies for Organizational Data Protection in Cloud Computing | | Author : Vedant V. Waghmare | | Abstract | Full Text | Abstract :In the age of digital conversion, cloud computing was developed as a central solution for businesses looking for scalable and inexpensive data storage and processing capabilities. However, cloud services acquisitions represent a critical security challenge, especially when securing sensitive organizational data from unauthorized access, violations and data loss. This article proposes a vigorous security system that guarantees the privacy, keenness, and accessibility of organizational information in a cloud computing environment. The system coordinating multi layer encryption innovation, role based get to control RBAC , and real time debilitating labeling components to supply end to end information security. Furthermore, the proposed model highlights secure data transfer protocols and comprehensive test logs to improve accountability and traceability. Through simulation and comparative analysis, the framework demonstrates improved resistance to frequent cloud security threats. This study contributes to the development of secure cloud infrastructures and provides practical guidelines for implementing effective data protection strategies in cloud deployments at the enterprise level. Vedant V. Waghmare "Securing the Cloud: Strategies for Organizational Data Protection in Cloud Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79785.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79785/securing-the-cloud-strategies-for-organizational-data-protection-in-cloud-computing/vedant-v-waghmare
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| Advanced Predictive Maintenance Systems A Data Centric Approach to Failure Prediction, Downtime Reduction, and Cost Efficiency in Industrial Environments | | Author : Kunal Tighare | | Abstract | Full Text | Abstract :Sudden equipment breakdowns in industries can severely disrupt operations which can cause significant production delays, expensive repairs, and even hazardous safety issues. Older conventional techniques, such as waiting for a device to break to repair it reactive maintenance or checking in on it periodically regardless if it needs attention or not preventive maintenance , are not efficient in the best uses of resources. This research investigates a better way predictive maintenance, which implies the maintenance of equipment with the use of IoT sensors, real time monitoring, and machine learning for analysing contextual data to identify possible equipment failures before they happen. The system enables industries to intervene at the right moment by identifying early indicators and mitigating machine downtime while ensuring smooth operations. As the systems become more autonomous, the study seeks new methods for more complex machine learning approaches aimed at fine tuning the failure prediction to improve the efficiency of industrial operations and make them safer and cheaper. Predictive maintenance opens the doors to better equip the industry to adapt to a more evidence based, forward thinking, and robust approach toward machinery management. Kunal Tighare "Advanced Predictive Maintenance Systems: A Data-Centric Approach to Failure Prediction, Downtime Reduction, and Cost Efficiency in Industrial Environments" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79786.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79786/advanced-predictive-maintenance-systems-a-datacentric-approach-to-failure-prediction-downtime-reduction-and-cost-efficiency-in-industrial-environments/kunal-tighare
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| Transforming Healthcare Record Systems with Adaptive AI Techniques | | Author : Krutika Dinesh Kale | | Abstract | Full Text | Abstract :By offering various uses of AI, such as DocBot, a virtual assistant, DocBot is changing the healthcare world for the better. Powered by NLP Natural Language Processing and machine learning, DocBots can help in multiple areas, including symptom checking, scheduling, medication tracking, and endless health related questions. These AI powered virtual assistants facilitate more seamless communication between patients and healthcare services, delivering real time support as needed while alleviating demand on medical staff. This paper discusses the usage of DocBot in the field of healthcare, highlighting its use for symptom assessment, providing personalized recommendations and mental health assistance. DocBots help to get patient engagement to the next level, where the patients can become aware and manage their own health with 24 by 7 assistance, which in turn will reduce the walking patients and time to come for their immediate consultation. DocBots can also help resource allocation by automating routine tasks and directing patients to the right care pathway based on their symptoms or needs. Krutika Dinesh Kale "Transforming Healthcare Record Systems with Adaptive AI Techniques" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79787.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79787/transforming-healthcare-record-systems-with-adaptive-ai-techniques/krutika-dinesh-kale
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| Modernizing Ashiyana Infra Builds Project Presentation with Web Development 3D Visualizations, Floor Plans, and Client Centered Features | | Author : Saniya Ameen Khan | | Abstract | Full Text | Abstract :Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79817.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79817/modernizing-ashiyana-infra-builds-project-presentation-with-web-development-3d-visualizations-floor-plans-and-clientcentered-features/saniya-ameen-khan
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| Android Mobile Malware Detection using Machine Learning A Systematic Review | | Author : Shiva Majumdar | | Abstract | Full Text | Abstract :With the increasing use of mobile devices, malware attacks are rising, especially on Android phones, which account for 72.2 of the total market share. Hackers try to attack smartphones with various methods such as credential theft, surveillance, and malicious advertising. Among numerous countermeasures, machine learning ML based methods have proven to be an effective means of detecting these attacks, as they are able to derive a classifier from a set of training examples, thus eliminating the need for an explicit definition of the signatures when developing malware detectors. This paper provides a systematic review of ML based Android malware detection techniques. It critically evaluates 106 carefully selected articles and highlights their strengths and weaknesses as well as potential improvements. Finally, the ML based methods for detecting source code vulnerabilities are discussed, because it might be more difficult to add security after the app is deployed. Therefore, this paper aims to enable researchers to acquire in depth knowledge in the field and to identify potential future research and development directions. With the swift adoption of Android devices all over the world, it has become a major target for attacks from malware which brings great danger to both users and organizations. With the growing complexity of modern malware, traditional methods of signature based malware detection are painfully sluggish. It is for this reason that there is recent notice towards the use of ML in the classification and detection of malware.This systematic review monitors new developments in the detection of Android malware through the use of machine learning techniques. We cover different methodologies, such as static, dynamic, and hybrid analysis, reviewing their advantages and disadvantages. We also focus on research feature extraction methods, classification algorithms, and available datasets. Adverse challenges such as adversarial dataset, model quality, and interpretability are discussed as well.Our results outline the effectiveness of deep learning models, specifically convolutional neural networks CNNs and recurrent neural networks RNNs , for the purposes of malware detection. Even so, high false positive rates and overhead computation are still open challenges. The review documents the most recent developments, determines under researched areas, and proposes ways of improving the literature to aid in the development of Android malware detection systems with machine learning techniques. Shiva Majumdar "Android Mobile Malware Detection using Machine Learning: A Systematic Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79788.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79788/android-mobile-malware-detection-using-machine-learning-a-systematic-review/shiva-majumdar
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| Bridging Divides A Multidisciplinary Approach to Social Integration | | Author : Mo. Junaid Khan | | Abstract | Full Text | Abstract :Social media is where business happens these days. If you’re not online, you’re invisible. But keeping up with all the different platforms—Facebook, Instagram, TikTok, Snapchat, LinkedIn—can be a total time sink. Posting the same thing five times in five different formats No thanks. That’s why we’re building a tool that brings everything together. One dashboard. One place to create, schedule, and post content across all your channels. Simple, efficient, and way less stressful. One Login, All Platforms Connect your social accounts in one go. Post photos, videos, or even ads across multiple platforms with just a few clicks. Safe and Secure We use trusted login systems like OAuth2 to make sure your accounts stay protected, and you stay in control of what gets shared. Content That Just Works No need to worry about sizes, formats, or platform rules—our system automatically adjusts your content so it fits perfectly wherever it’s posted. Work Less, Post More Automate your publishing schedule so you’re not constantly uploading manually. More time for creativity, less time copy pasting. Stay on the Right Side of the Rules Every platform has its own posting policies. We handle that in the background to make sure your content stays compliant and your accounts stay safe. Mo. Junaid Khan "Bridging Divides: A Multidisciplinary Approach to Social Integration" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79789.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79789/bridging-divides-a-multidisciplinary-approach-to-social-integration/mo-junaid-khan
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| FitTech Designing a Smart Gym Fitness Application for Personalized Workouts | | Author : Tushar S Kautkar | | Abstract | Full Text | Abstract :The rapid advancement of mobile technology has revolutionized the health and fitness industry, enabling users to take charge of their personal well being through digital means. This project, titled Fitness Application , aims to design and develop a user friendly fitness tracking application that assists individuals in maintaining a healthy lifestyle. The application integrates features such as personalized workout plans, diet tracking, BMI calculation, step counting, and progress analytics. It also includes reminders and motivational notifications to encourage consistent physical activity. The system is built with a focus on intuitive design, data accuracy, and real time user feedback. By leveraging modern development tools and best practices, this project demonstrates how digital platforms can play a significant role in promoting health awareness and fitness engagement. The application is scalable, secure, and adaptable to future enhancements, making it a practical solution for today’s health conscious population. Tushar S Kautkar "FitTech: Designing a Smart Gym Fitness Application for Personalized Workouts" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79790.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79790/fittech-designing-a-smart-gym-fitness-application-for-personalized-workouts/tushar-s-kautkar
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| ECOSPOT Green Charging Station Placement Strategy | | Author : Aditya Gaherwar | | Abstract | Full Text | Abstract :The quick uptake of electric vehicles EVs requires an optimized and well distributed charging infrastructure to provide convenience, reduce charging time, and maximize energy usage. This paper proposes a data driven method for the optimal location of EV charging stations based on traffic density, energy supply, and geographical limitations. By incorporating Geographic Information Systems GIS , Machine Learning ML , and optimization methodologies like Genetic Algorithms GA and Particle Swarm Optimization PSO , the present research tends to improve access, enhance stability of the grid, and enable sustainable transportation. The model suggested here is empirically verified based on real datasets to ensure cost effective deployment of charging infrastructure. Aditya Gaherwar "ECOSPOT - Green Charging Station Placement Strategy" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79856.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79856/ecospot--green-charging-station-placement-strategy/aditya-gaherwar
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| Disease Diagnosis in Tomato Leaves using AI with Python Technology | | Author : Twinkal Arun Meshram | | Abstract | Full Text | Abstract :Tomato plants are highly susceptible to various diseases that can significantly reduce crop yield and quality. Early and accurate detection of these diseases is crucial for preventing large scale agricultural losses. This research presents an AI based tomato leaf disease detection system using deep learning and computer vision techniques. A Convolutional Neural Network CNN model is trained on a labeled dataset of tomato leaf images to classify leaves as healthy or diseased, identifying specific diseases such as Early Blight, Late Blight, and Leaf Mold. The system is integrated into a web based application for easy accessibility, allowing farmers to upload leaf images for real time disease diagnosis. Extensive experiments demonstrate that the proposed model achieves high accuracy 90 , making it a reliable and efficient tool for disease detection. The study also explores potential improvements, including mobile deployment, IoT integration, and multi crop expansion. This AI driven solution can revolutionize modern agriculture by enabling early disease detection, reducing pesticide overuse, and improving overall crop productivity. Twinkal Arun Meshram "Disease Diagnosis in Tomato Leaves using AI with Python Technology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79791.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79791/disease-diagnosis-in-tomato-leaves-using-ai-with-python-technology/twinkal-arun-meshram
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| Scholarship Allocation Analysis | | Author : Kaustubh V Kashti | | Abstract | Full Text | Abstract :In the information age, scholarship allocation systems play a critical role in providing equal access to education. Such systems need to be precise, just, and secure to effectively serve students. The paper offers a detailed examination of a scholarship management system from the viewpoint of software testing. Functional, performance, usability, and security testing are highlighted in this study to ensure system reliability and transparency in allocation. A tiered testing approach was envisioned and executed through a combination of manual and automated testing tools, combined within a CI CD pipeline for ongoing quality assurance. Outcomes show that the system can effectively manage high loads of users, preserve data integrity, and provide an easy to use user interface. This research highlights the significance of strict software testing in building trust and efficiency in financial aid disbursement platforms. Kaustubh V Kashti "Scholarship Allocation Analysis" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79808.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79808/scholarship-allocation-analysis/kaustubh-v-kashti
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| Antique Avenues Preserving the Past, Shaping the Future | | Author : Harsh Mahesh Sharma | | Abstract | Full Text | Abstract :The preservation and enhancement of antique avenues historical thoroughfares and districts representing a citys unique cultural identity has become an increasingly important issue in contemporary urban planning. With the urban landscape changing rapidly and living in the present placing stress on heritage, it is important to strike a balance between preserving historical moments and integrating modernism, technology, and sustainability. This research focuses on an online entity, Antique Avenues Preserving the Past, Shaping the Future, that will promote the preservation of antique districts, while also facilitating a response to what is necessary. Action on the response to necessary change includes community dialogue, experts, case studies, and ideas from around the globe all of which can shape the future of antique avenues or districts equally. This paper will be interested in how the use of some thoughtful solutions with technology, participation from the community, and the principles of sustainable design could help inform architects and planners as they reimagine the spatial history of these districts and their futures ensuring they continue to be usable, sustainable, and culturally relevant for generations to come. Harsh Mahesh Sharma "Antique Avenues: Preserving the Past, Shaping the Future" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79806.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79806/antique-avenues-preserving-the-past-shaping-the-future/harsh-mahesh-sharma
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| Smart Parking Revolution A New Era in Parking Management | | Author : Nidhi R. Chambole | | Abstract | Full Text | Abstract :Because of the rapid urbanisation and increase in the number of vehicles, parking management has become more challenging in metropolitan areas. Long wait times, traffic, and poor utilisation of available space are some of the disadvantages of traditional parking schemes. In order to maximise parking operations, this study presents the Smart Vehicle Parking System SVPS , a web based solution that makes use of automated booking, digital administration, and real time slot availability.Modern online technologies are used by the system to give consumers an easy to use interface for scheduling parking spaces, checking availability, and getting real time alerts. The use of a centralized database guarantees precise and instantaneous updates, diminishing the likelihood of duplicate reservations and human mistakes. An admin dashboard is another component of the suggested system that helps with parking lot management optimization by tracking parking utilization trends.According to this studys recent findings, automated parking systems can improve security by reducing search times by up to 40 , reducing traffic in busy areas, and offering digital payment choices and remote monitoring. In order to further improve urban parking efficiency, the system also establishes the framework for further developments like IoT based smart sensors, AI driven parking predictions, and mobile app integrations.The systems deployment shows a notable improvement in overall traffic flow, operational efficiency, and user convenience. As cities transition to smart infrastructure, these digital solutions provide sustainable and scalable substitutes for conventional parking systems. Nidhi R. Chambole "Smart Parking Revolution: A New Era in Parking Management" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79807.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79807/smart-parking-revolution-a-new-era-in-parking-management/nidhi-r-chambole
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| Docker Based Web Application Deployment using AWS | | Author : Prathamesh Parise | | Abstract | Full Text | Abstract :The deployment of web applications using Docker on AWS has revolutionized cloud computing by enabling scalable, portable, and efficient application management. This paper presents an approach to deploying a Docker based web application using AWS services, focusing on Amazon Elastic Container Service ECS , Elastic Kubernetes Service EKS , and AWS Fargate. By leveraging containerization, organizations can streamline application deployment, ensuring consistency across development, testing, and production environments.The study explores how Docker simplifies software packaging while AWS provides a robust infrastructure for automated orchestration, high availability, and secure deployments. It also highlights the integration of CI CD pipelines using AWS CodePipeline, CodeBuild, and GitHub Actions to enable seamless deployment workflows. Additionally, AWS security best practices, such as IAM roles, Secrets Manager, and container isolation, ensure application integrity and data protection.Through the adoption of containerized deployments on AWS, businesses achieve improved resource utilization, faster scaling, and enhanced DevOps efficiency. The paper demonstrates how AWS services optimize application lifecycle management while reducing operational complexities and infrastructure costs. This research provides insights into best practices for deploying and managing Docker based applications in AWS, making it a valuable reference for developers and cloud engineers. Prathamesh Parise "Docker Based Web Application Deployment using AWS" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79809.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79809/docker-based-web-application-deployment-using-aws/prathamesh-parise
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| Automated Content Creation Tools A Comparative Study of AI Driven Text, Image, and Video Generation Platforms | | Author : Piyush Tulsidas Talmale | | Abstract | Full Text | Abstract :The need for quality, compelling content in the digital age has resulted in the growing interest in automated content creation systems. In this paper, the design and development of an Automated Content Creation Tool based on Natural Language Processing NLP and Machine Learning ML to create personalized, scalable, and search engine optimization friendly content are presented. The tool solves key problems like time, consistency, scalability, and expense in content creation. It includes modules for content generation, personalization of content, SEO optimization, and refinement that allow users to generate varied content for blogging, social media, and marketing with less manual effort. The architecture of the system, the method of implementation, and the outcomes expected showcase the tools potential to revolutionize the content creation process. Piyush Tulsidas Talmale "Automated Content Creation Tools: A Comparative Study of AI-Driven Text, Image, and Video Generation Platforms" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79810.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79810/automated-content-creation-tools-a-comparative-study-of-aidriven-text-image-and-video-generation-platforms/piyush-tulsidas-talmale
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| Shippify A Smart Logistics Solution for Optimizing Last Mile Delivery in the Digital Age | | Author : Sharjil Ahmad Khan Pathan | | Abstract | Full Text | Abstract :The logistics and shipping industry has experienced significant growth with the rise of e commerce and global trade. Efficient and cost effective shipping solutions have become a necessity for businesses of all sizes. This paper proposes Shippfy, a shipping and logistics platform that aims to streamline operations for e commerce businesses, drawing inspiration from existing solutions like Shiprocket. The system leverages AI based courier recommendations, real time tracking, and efficient return management. It integrates predictive analytics to enhance order fulfillment, reduce costs, and optimize delivery performance. This study examines the feasibility, impact, and technological framework of Shippfy in revolutionizing the shipping industry. Sharjil Ahmad Khan Pathan "Shippify: A Smart Logistics Solution for Optimizing Last-Mile Delivery in the Digital Age" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79820.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79820/shippify-a-smart-logistics-solution-for-optimizing-lastmile-delivery-in-the-digital-age/sharjil-ahmad-khan-pathan
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| Cloud Based School ERP Systems Transforming Traditional Education Management | | Author : Riya Harinkhere | | Abstract | Full Text | Abstract :In the era of technology, the effective management of academic and administrative activities is a significant issue for educational institutions. This research paper proposes a cloud based School ERP Enterprise Resource Planning system that is aimed at automating and streamlining various institutional procedures like student admission, attendance tracking, fee management Cloud ERP school systems are transforming conventional education management by automating administration and academic processes. This article examines their contribution to the strengthening of efficiency, accessibility, and interlinked collaboration between teachers, students, and parents. Principal advantages are real time access to information, scalability, and affordability, although issues of data security and implementation fees still exist. A comparative analysis showcases the contribution of cloud ERP solutions in transforming education and enhancing institutional decision making. The research highlights the necessity of transformation in schools with ERP implementation.HTML, CSS, JavaScript front end , MySQL database and Java Spring Boot or PHP Laravel back end are developed to design the system, which provides real time accessibility, reliability, and scalability in the cloud environment. Manual inefficiencies are minimized, paper is saved, and role based access control for students, teachers, and administrators is facilitated. Real time analysis and automated workflow streamline decision making and operational efficiency. Riya Harinkhere "Cloud-Based School ERP Systems: Transforming Traditional Education Management" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79811.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79811/cloudbased-school-erp-systems-transforming-traditional-education-management/riya-harinkhere
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| Design and Implementation of a Web Based Smart House Rental Application for Urban Communities | | Author : Rashika Verma | | Abstract | Full Text | Abstract :An e rental application is a web and mobile based solution that enables landlords and renters to manage and access rental properties or equipment. The application, accessible via web browsers and as a mobile application on Android, provides a convenient and efficient way for both parties to conduct rental transactions.Its web application allows landlords to easily create and manage their listings, set prices, respond to inquiries, and automate tasks such as sending reminders for rent payments and handling lease renewals. Renters can browse through listings, submit applications online, make rent payments, request maintenance, and even renew their leases. Moreover, its mobile application for Android devices provides an added level of convenience for landlords and renters. Landlords can manage their properties on the go, and renters can search for properties, communicate with landlords, and make payments while moving. The mobile application also allows renters to take virtual tours of properties and view images and videos before deciding. This e rental application can increase the visibility of a landlords properties by listing them online, reaching a wider audience of potential renters. Additionally, the application provides landlords with valuable analytics, such as information on which listings receive the most views or inquiries, which can help landlords make informed decisions on pricing, property upgrades, and marketing strategies. As well as improve the communication between landlords and renters by providing a platform for both parties to communicate. It also includes sending messages, sharing documents, and scheduling appointments. It also improves security for landlords and renters by providing a secure way to collect rent payments and manage tenant information. Renters can securely submit sensitive information, such as personal data and passwords, of the rental property. Rashika Verma "Design and Implementation of a Web-Based Smart House Rental Application for Urban Communities" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79812.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79812/design-and-implementation-of-a-webbased-smart-house-rental-application-for-urban-communities/rashika-verma
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| Leaf Guard AI Powered Crop Disease Detection | | Author : Rupal Mahendar Singh | | Abstract | Full Text | Abstract :The increasing global demand for food production has made it essential to enhance agricultural practices and protect crops from diseases that can lead to significant yield losses. Traditional methods of crop disease detection often rely on visual inspections, which are time consuming, subjective, and can miss early stage infections. To address this challenge, this paper proposes a cutting edge AI powered crop disease detection system, specifically designed for implementation in leaf guard technologies. The system utilizes machine learning ML and deep learning DL algorithms to automatically identify symptoms of crop diseases from high resolution images captured.The proposed system leverages convolutional neural networks CNNs to process images of crop leaves, distinguishing between healthy and diseased plants. By training the model on large datasets of labeled images, it learns to recognize a variety of diseases, including fungal, bacterial, and viral infections. In addition to disease detection, the system also provides actionable insights to farmers, such as the identification of disease hotspots and early stage intervention recommendations, thereby minimizing the spread of infections.The integration of AI with leaf guard technology provides a scalable, cost effective solution for precision agriculture, enabling real time monitoring and reducing the dependency on manual labor. Furthermore, it enhances decision making capabilities for farmers by providing accurate and timely information, leading to improved crop health and higher productivity. This approach represents a significant advancement in the application of artificial intelligence in agriculture, promising to revolutionize disease management and improve food security worldwide. Rupal Mahendar Singh "Leaf Guard AI Powered Crop Disease Detection" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79814.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79814/leaf-guard-ai-powered-crop-disease-detection/rupal-mahendar-singh
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| AI Based Chatbot An Approach of Utilizing on Customer Service Assistance | | Author : Akshad Bagde | | Abstract | Full Text | Abstract :In the digital era, customer support plays a crucial role in business success Assistify Ai automates customer interactions, enhancing user experience while reducing operational costs. These chatbots leverage technologies such as natural language processing NLP , machine learning ML , and automation to understand user queries, provide instant responses, and improve service quality while reducing the dependency on human agents This project focuses on developing an AI powered chatbot capable of handling customer queries efficiently. The Assistify Ai project is designed to emulate customer support agents by providing automated responses to user inquiries. The project focuses on automating customer support for different companies by training bots with real world conversations between customers and support teams. The available pre trained bots are specific to companies like Apple Support, Amazon Help, Uber Support, Delta, and Spotify Cares. This model allows the chatbot to generate relevant and coherent responses based on user input, mimicking the way human customer support agents handle inquiries. The rapid advancements in artificial intelligence AI have revolutionized various industries, with customer service being one of the key areas experiencing significant transformation.AI based chatbots have emerged as a powerful tool in modern customer service assistance, offering businesses an efficient, cost effective, and scalable solution to manage customer interactions. This study explores the role of AI powered chatbots in customer service, emphasizing their capabilities in handling large volumes of customer inquiries, and delivering personalized support. By analyzing their impact on business efficiency, customer satisfaction, and operational costs, this paper highlights how AI driven chatbots streamline communication and enhance user experience. Additionally, the paper discusses the challenges associated with AI chatbot implementation, such as understanding complex queries, ensuring data security, and maintaining human like interactions.Furthermore, the research delves into future advancements in AI chatbots, including the integration of deep learning, sentiment analysis, and conversational AI, which are expected to enhance chatbot intelligence and adaptability. As businesses continue to adopt AI driven solutions, chatbots are set to play an even more significant role in shaping the future of customer service. This paper provides a comprehensive analysis of AI based chatbots, their benefits, challenges, and potential, offering valuable insights into their growing role in customer service assistance. Akshad Bagde "AI Based Chatbot: An Approach of Utilizing on Customer Service Assistance" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79815.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79815/ai-based-chatbot-an-approach-of-utilizing-on-customer-service-assistance/akshad-bagde
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| District Medical Data Centre For Constructing the National Healthcare Information System | | Author : Sarthak Chaware | | Abstract | Full Text | Abstract :The District Medical Data Center DMDC project aims to establish a centralized, secure, and efficient digital infrastructure for collecting, storing, managing, and analyzing healthcare data at the district level. This system is designed to streamline healthcare operations by integrating data from government hospitals, clinics, laboratories, and other health facilities into a unified digital platform. The primary objectives are to enhance real time monitoring of public health indicators, support data driven decision making, enable efficient resource allocation, and improve patient care outcomes.The DMDC incorporates advanced technologies such as cloud computing, data encryption, and health information systems HIS to ensure data privacy, scalability, and accessibility for authorized personnel. It supports functionalities like electronic medical records EMR , disease surveillance, vaccination tracking, and reporting tools for policymakers. By fostering interconnectivity among healthcare institutions, the project also strengthens epidemic preparedness and response capabilities.Ultimately, the DMDC project will play a pivotal role in transforming the district healthcare ecosystem into a more proactive, transparent, and digitally empowered system, contributing significantly to the broader goals of national health digitization initiatives. Sarthak Chaware "District Medical Data Centre: For Constructing the National Healthcare Information System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79818.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79818/district-medical-data-centre-for-constructing-the-national-healthcare-information-system/sarthak-chaware
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| Design and Development of an Intelligent Property Management System for Real Estate Optimization | | Author : Saurabh Pathrabe | | Abstract | Full Text | Abstract :The property management system is a digital marketplace designed to streamline the process of connecting individuals and businesses with skilled technicians and plumbers for maintenance and repair services. The platform offers an intuitive interface accessible via web browsers and mobile applications, allowing users to search, compare, and hire technicians and plumbers based on their specific needs and preferences. Service providers create detailed profiles showcasing their qualifications, experience, areas of expertise, and customer reviews, allowing service seekers to evaluate the suitability of technicians and plumbers for their specific requirements.The platform also offers advanced search and filter functionality, allowing users to narrow down their options based on location, services offered, availability, pricing, and ratings. It facilitates seamless booking and scheduling of service appointments, allowing users to specify the date, time, and nature of the required services. Clear pricing and payment information are provided for each service, ensuring transparency and eliminating ambiguity for both service seekers and providers.After service completion, users can rate and provide feedback on the quality of work and customer service received from technicians and plumbers, maintaining accountability and encouraging continuous improvement within the service provider community. The platform also offers customer support services to address inquiries, resolve issues, and facilitate communication between parties if disputes arise during or after service delivery. Mediation mechanisms are in place to ensure fair resolution of conflicts. Saurabh Pathrabe "Design and Development of an Intelligent Property Management System for Real Estate Optimization" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79819.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79819/design-and-development-of-an-intelligent-property-management-system-for-real-estate-optimization/saurabh-pathrabe
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| Concealing Information Within Images using Steganographic Techniques | | Author : Shivani Mahadeo Wadaskar | | Abstract | Full Text | Abstract :This research focuses on the design, implementation, and evaluation of a steganography system for secure data hiding in digital images. Steganography is the technique of concealing secret information within a non secret medium, such that the presence of the information remains undetectable to unauthorized users. In this project, various image based steganographic techniques were studied, with a primary focus on the Least Significant Bit LSB substitution method due to its simplicity and effectiveness. A prototype application was developed to embed and extract secret text data from images without noticeable changes in image quality. The system was evaluated based on parameters such as imperceptibility, payload capacity, and robustness against common image manipulations. Experimental results demonstrate that the proposed method offers high imperceptibility and reasonable security for practical use in confidential communication. This work highlights the potential of steganography as a complementary tool to cryptography for enhancing data privacy in digital communication systems. Shivani Mahadeo Wadaskar "Concealing Information Within Images using Steganographic Techniques" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79821.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79821/concealing-information-within-images-using-steganographic-techniques/shivani-mahadeo-wadaskar
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| BrainWave A Foundation Model for Clinical Applications in Neural Recordings | | Author : Pralay Potbhare | | Abstract | Full Text | Abstract :This research proposes the integration of a convolutional neural network CNN model with electroencephalography EEG for the detection of major depressive disorder MDD . The proposed system utilizes EEG signal images with brain activity patterns associated with MDD, which are then processed by a CNN model trained to recognize characteristic EEG signatures of depression. The CNN models output serves as an indicator of the presence and severity of MDD, facilitating early detection and intervention. This approach has the potential to revolutionize depression diagnosis by providing a more accessible, objective, and timely means of identifying individuals at risk of MDD, thereby improving patient outcomes and reducing the societal burden of this impending disorder. Pralay Potbhare "BrainWave: A Foundation Model for Clinical Applications in Neural Recordings" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79824.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79824/brainwave-a-foundation-model-for-clinical-applications-in-neural-recordings/pralay-potbhare
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| Learn Mate AI Designing a Smart Educational Companion for Personalized Learning | | Author : Shreya Bhalavi | | Abstract | Full Text | Abstract :Artificial Intelligence AI has revolutionized the education industry in a major way by providing individualized, adaptive, and engaging learning experiences. LearnMate AI is a highly sophisticated smart learning companion that makes use of AI technologies like Natural Language Processing NLP , machine learning, and gamification to augment students learning. This study delves into the methodology, performance, and likely influence of LearnMate AI on contemporary education systems. The research assesses AI based personalized learning pathways, on the fly doubt removal, and real time analytics for maximizing learning outcomes. Results show that AI based education platforms can successfully enhance student engagement, retention, and academic grades. AI capabilities could be further augmented in the future, along with the incorporation of virtual reality and optimizing content personalization algorithms. Shreya Bhalavi "Learn Mate AI: Designing a Smart Educational Companion for Personalized Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79822.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79822/learn-mate-ai-designing-a-smart-educational-companion-for-personalized-learning/shreya-bhalavi
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| Smart Venue Booking A Digital Solution for Efficient Event Management | | Author : Abhishek Meshram | | Abstract | Full Text | Abstract :problems with event available, manual coordination, good communication, ineffective scheduling, and issues with venue availability. By using digital technology, Smart Venue Booking optimizes the event management process by offering automated booking, real time available venue, and smooth communication between venue providers and organizers. In order to maximize scheduling, avoid duplicate reservations, and provide Personalized suggestions, this system combines artificial intelligence AI with data analytics. Cloud based access also guarantees consumers ease and flexibility. Through the improvement of user experience, administrative overhead, and efficiency, this digital solution turns traditional venue booking into an intelligent, smooth procedure. Abhishek Meshram "Smart Venue Booking: A Digital Solution for Efficient Event Management" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79852.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79852/smart-venue-booking-a-digital-solution-for-efficient-event-management/abhishek-meshram
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| Generative Image Synthesis A Practical Approach to Real Time Image Generator Application Development | | Author : Shreyas Apkaje | | Abstract | Full Text | Abstract :This research explores the development and integration of an advanced image generator system with API capabilities, enabling seamless interaction between users and the generator for customized outputs. The project focuses on combining state of the art generative algorithms and neural networks to produce high quality images based on text based prompts or parameters. The inclusion of API integration extends functionality, facilitating easy adaptation into various applications, such as web development, software tools, and creative platforms. This paper addresses the systems architecture, optimization techniques, and the challenges faced during implementation, including computational limitations and ethical considerations. Results highlight significant improvements in user accessibility, flexibility, and the systems overall performance, paving the way for innovative use cases across diverse industries. API Integration an image generator system seamlessly integrated with APIs to enhance accessibility and adaptability across diverse applications. Centralized Interface An intuitive interface for setting up accounts and posting content across multiple platforms. Efficiency Automation of content delivery to lessen manual effort and enhance productivity. Shreyas Apkaje "Generative Image Synthesis: A Practical Approach to Real-Time Image Generator Application Development" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79823.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79823/generative-image-synthesis-a-practical-approach-to-realtime-image-generator-application-development/shreyas-apkaje
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| Smart Health Care System Using IoT | | Author : Sudhanshu Hemant Mate | | Abstract | Full Text | Abstract :In recent years, the integration of Internet of Things IoT technologies into healthcare has revolutionized patient monitoring and medical services, giving rise to the concept of Smart Health Care Systems. This paper presents a smart healthcare framework that utilizes IoT devices to provide real time monitoring, data collection, and intelligent analysis of patients’ health conditions. The system is designed to continuously track vital parameters such as heart rate, body temperature, blood pressure, oxygen saturation, and glucose levels using interconnected sensors. These sensors transmit data to a centralized cloud platform where it can be accessed by healthcare professionals for timely diagnosis and intervention. Additionally, alert mechanisms are integrated to notify doctors or caregivers in case of abnormal readings or medical emergencies. By leveraging IoT, the proposed system enhances patient care, reduces hospital visits, and promotes proactive healthcare management. This approach not only improves the quality of medical services but also contributes to more efficient and cost effective healthcare delivery. Sudhanshu Hemant Mate "Smart Health Care System Using IoT" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79825.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79825/smart-health-care-system-using-iot/sudhanshu-hemant-mate
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| Enhancing Recruitment Efficiency through an AI Powered Personality Assessment Web Portal | | Author : Swapnil Gawande | | Abstract | Full Text | Abstract :Traditional recruitment processes often face challenges in efficiently and objectively evaluating candidate personality traits, which are crucial predictors of job performance and organizational fit. This research presents the development and potential impact of an AI powered web portal designed to streamline and enhance candidate personality assessment. The portal integrates advanced AI algorithms, including Natural Language Processing NLP and potentially machine learning models, to analyze textual and potentially other forms of candidate data e.g., responses to open ended questions, video interviews and generate comprehensive personality profiles. This study details the system architecture, key functionalities, and the methodology employed in developing the AI models for personality trait extraction and prediction. Swapnil Gawande "Enhancing Recruitment Efficiency through an AI-Powered Personality Assessment Web Portal" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79826.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79826/enhancing-recruitment-efficiency-through-an-aipowered-personality-assessment-web-portal/swapnil-gawande
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| SMARTPRENATAL A Mobile Integrated System for Real Time Maternal Health Monitoring | | Author : Aashay Naik | | Abstract | Full Text | Abstract :Health and wells of pregnant women are of paramount importance to reduce morbidity and mortality in mothers and newborns. Limitations of traditional health systems as inconsistent surveillance, rare prenatal visits, and slow detection of pregnancy related complications pose significant risks, especially in low resource environments. This study presents a real time pregnancy health tracking system in real time. It uses the performance of mobile applications integrated into a data controlled risk assessment model to provide continuous and personalized support from maternal healthcare.This system is designed to allow pregnant women to perform important health parameters for self monitoring, such as blood pressure, heart rate, weight, blood sugar levels, fetal movement count, and emotional wells. This includes intelligent memory of medication and appointments, educational resources tailored for each mid pregnancy, and arm characteristics. In the backend, the application uses algorithms for machine learning trained with historical pregnancy data to assess risk levels and predict possible complications such as gestational diabetes, hypertension, and premature babies.This article not only shows mothers technological innovations, but also highlights the role of real world data analytics and mobile health MHealth in redesigning privacy delivery. The proposed system could bridge the gap between patients and providers, especially in remote and under sector communities, which contributes to global efforts to achieve sustainable development point 3 good health and wells . Aashay Naik "SMARTPRENATAL: A Mobile-Integrated System for Real-Time Maternal Health Monitoring" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79850.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79850/smartprenatal-a-mobileintegrated-system-for-realtime-maternal-health-monitoring/aashay-naik
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| Book My Farms | | Author : Abhay Gupta | | Abstract | Full Text | Abstract :Book My Farms is a modern technology digital platform created for easy farm book and management by connecting different farm vendors or with owners with individuals or businesses seeking farm rentals for various purposes like for agriculture, tourism, events, parties and recreation. This new updated feature offers a seamless online beautiful experience through an interactive and user friendly interface where users can search different available farms, view amenities, compare pricing rate, and make reservations effortlessly. The platform is built using latest new web technologies to ensure efficiency, availability, security, and scalability. The frontend of project is developed using Next.js, TypeScript TSX , Tailwind CSS, and TanStack, providing a responsive, clear and optimized user experience. The backend of project is powered by Java, MongoDB, and Spring Boot, enabling robust data management, real time availability tracking, and secure transactions. Postman is used for API testing to ensure seamless communication between the frontend and backend different services. Important features include user authentication, authorization, real time availability tracking, secure payment transaction, a main admin dashboard for farm vendors or owners, and an advanced UI UX design with modern animations and responsive layouts. Future advancement may include AI driven recommendations, a perfect chatbot quick support, and IoT based farm monitoring and managing for Computerization and efficiency. By bridging the gap between farm owners and customers, Book My Farms aims to revolutionize the farm rental industry by providing a professional, secure, and user friendly digital solution that enhances accessibility, convenience, and transparency. Abhay Gupta "Book My Farms" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79851.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79851/book-my-farms/abhay-gupta
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| Course Management, Gamification, and Parent Portal in Student Management System | | Author : Aadesh. S. Petkar | | Abstract | Full Text | Abstract :The goal of this project is to create a thorough course management system that will improve the educational experience for parents, instructors, and students. In addition to providing a Course Preview tool to guarantee content quality prior to release, the system facilitates Course Creation and Editing, allowing teachers to conveniently organize modules and lessons. It enhances the course content and accommodates a variety of learning styles by supporting media uploads, including documents, videos, and PDFs.To boost engagement, Gamification components such as Leaderboards to promote healthy competition, Achievement Tracking to track milestones, and Points and Badges for completing the course, are incorporated to promote student engagement. A dedicated parent portal also gives parents access to information about their childs academic progress, including performance summaries, attendance and grade tracking, direct teacher communication, class schedules, and upcoming events.When combined, these characteristics produce an engaging, transparent, and dynamic learning environment that encourages motivation, cooperation, and ongoing learning for all parties involved. Aadesh. S. Petkar "Course Management, Gamification, and Parent Portal in Student Management System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79853.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79853/course-management-gamification-and-parent-portal-in-student-management-system/aadesh-s-petkar
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| PULSEINVENTORY Live Monitoring Meets Predictive Insight | | Author : Aditi Jain | | Abstract | Full Text | Abstract :A software program called inventory management tracks orders, sales, deliveries, and inventory levels. Inventory systems are crucial to the smooth operation of companies, particularly in sectors like manufacturing, shipping, and retail. The practice of monitoring and managing the movement of supplies and products inside a company is known as inventory management. It entails overseeing the complete lifespan of inventory items, from acquisition and storage to distribution and retail. Assuring that the right quantity of inventory is available at the right time, location, and cost while minimising extra inventory and associated expenses is the main objective of inventory management.It can also be used to create a work order, material bills and other production related documents in the manufacturing industry. Companies use inventory management software to avoid product overstocks and outages.Effective inventory management is necessary to maintain the seamless supply chain operations and ensure optimal stock levels by reducing the cost. It is a tool for organizing inventory data that was previously stored in a hard copy form or spreadsheet. Traditional inventory systems often rely on manual processes or basic software, causing disability, errors, and real time data deficiency. The recent progress in technology has greatly changed the inventory management systems that provide innovative solutions that streamline operations and improve decision making. This paper management examines the latest developments in the inventory system, focuses on recent findings and adapt to inventory control, reduce costs and increase their implications to increase supply chain performance.The proposed system includes historical sales data, real time inventory tracking, and future modelling techniques to oversee stocking and reduce issues. Results reflect the effectiveness of the proposed approach to improve inventory accuracy, reduce operational costs and increase overall efficiency. Aditi Jain "PULSEINVENTORY: Live Monitoring Meets Predictive Insight" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79854.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79854/pulseinventory-live-monitoring-meets-predictive-insight/aditi-jain
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| User and Dashboard Management System | | Author : Aditi. D. Wanjari | | Abstract | Full Text | Abstract :A course management systems dashboard and user management modules are essential components. It supports a variety of user roles, including parent, student, teacher, and administrator. According to their duties, users are given designated roles with restricted access during registration. Role Based Access Control RBAC is used by the system to make sure that just the information that each user needs is visible. All users and announcements can be managed by administrators. Instructors can post assignments, make class schedules, and monitor student progress. Students have the ability to view their personal progress, grades, assignments, and classes. Parents are able to keep an eye on their childs performance and attendance. A key finding is that real time notifications and role specific dashboards greatly boost stakeholder communication, lessen misunderstanding, and improve user experience. Instructors view announcements, their timetable, and student progress. Students view their grades, assignments, and forthcoming classes. Parents get access to school updates and their childs development. All users will have a seamless, quick, and safe experience thanks to the integration of React.js, Next.js, and MongoDB. This approach enhances communication between educators, parents, and kids while also assisting schools in maintaining organization. Aditi. D. Wanjari "User and Dashboard Management System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79855.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79855/user-and-dashboard-management-system/aditi-d-wanjari
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| Software Piracy Protection using Machine Learning | | Author : Aditya Mahadeo Wadaskar | | Abstract | Full Text | Abstract :This research focuses on the persistent and growing issue of software piracy, which continues to cause significant economic and ethical challenges for software developers and organizations. Our work focuses on designing and implementing a comprehensive software piracy protection system that combines modern security techniques with practical deployment strategies. We have developed a multi layered solution that incorporates encryption, license key validation, hardware based authentication, and digital rights management DRM to prevent unauthorized use and distribution of software. Additionally, we explore the integration of blockchain technology to ensure secure and transparent license verification. By simulating real world attack scenarios, we evaluate the systems effectiveness in defending against common piracy methods such as key generators, cracking tools, and unauthorized copying. Our goal is to provide a robust, scalable, and user friendly framework that can be adopted across various software platforms to significantly reduce the risk of piracy and support the enforcement of intellectual property rights. Aditya Mahadeo Wadaskar "Software Piracy Protection using Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79857.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79857/software-piracy-protection-using-machine-learning/aditya-mahadeo-wadaskar
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| Snack Spot “Online Food System” | | Author : Ashwini Kashti | | Abstract | Full Text | Abstract :Snack Spot is a comprehensive online food ordering module created to streamline the process of discovering, ordering, and delivering the variety of food. This environment connects with different types of users in a wide network of Local Street and with snack vendors, giving an intuitive screen for browsing menu perfectly with clear content, customizing different orders, and making secure encrypted online payment. Owners can easily manage their offerings, tracking orders, and engage with multiple customers at a time through real time updates and feedback systems.The main goal of Snack Spot is to enhance Productivity, convenience, save time, and offer a personalized experience for a different customers while helping owners to expand their reach and increase productivity. Key features include user authentication, encryption technique, live order tracking and managing order history management, discounts and promotional offers, and multiple payment options. By combining different latest web technologies and secure payment gateways, Snack Spot delivers a fast, reliable, and customer centric online food ordering experience. Ashwini Kashti "Snack-Spot “Online Food System”" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79859.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79859/snackspot-“online-food-system”/ashwini-kashti
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| Intelligent I’d Badge Creator with Face Recognition | | Author : Apeksha Nilkanth Parate | | Abstract | Full Text | Abstract :The Intelligent ID Badge Creator with Face Recognition project aims to develop an autonomously creates customized identification badges for users or for individuals while utilizing face recognition methodology for enhanced security and authentication. The system automates the process of issuing ID badges by integrating facial analysis technology as a primary identification method, making it more efficient and secure than traditional manual processes. The proposed model operates by firstly capturing the users face data through a camera detector , which is further processed by a face recognition algorithm steps. This facial information compared with an existing database to check for authorized users to confirm their identity. If authentication is be approved, then the system generates a digital ID badge containing the individuals name, photo, department, and other details. This cutting edge technology combines a range of advancements such as computer vision, ML, AI database management to achieve accurate and reliable face recognition, ensuring that only authorized individuals are grant permission ID badges. Moreover, the system can be set up to integrate with access control solutions, providing enhanced security in both physical and digital environments. Apeksha Nilkanth Parate "Intelligent I’d Badge Creator with Face Recognition" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79858.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79858/intelligent-i’d-badge-creator-with-face-recognition/apeksha-nilkanth-parate
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| Apex Hospital Manager A Comprehensive Hospital Management System | | Author : Dyandip Madan Gedam | | Abstract | Full Text | Abstract :The increasing sophistication of healthcare systems requires sophisticated management solutions to improve efficiency, minimize human errors, and increase patient satisfaction. Apex Hospital Manager is an integrated hospital management system used to centralize and automate essential administrative and clinical processes in a healthcare institution.The system combines patient registration, scheduling, billing, pharmacy management, laboratory integration, and reporting modules into a web based, secure platform. Pilot implementation performance assessment showed significant enhancements in operational productivity, error mitigation, and patient service times.This paper introduces system design, suggested model, performance analysis, and outcome review, pointing to the potential to transform hospital operations. Future developments may involve AI implementation and blockchain based data security. Dyandip Madan Gedam "Apex Hospital Manager: A Comprehensive Hospital Management System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79912.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79912/apex-hospital-manager-a-comprehensive-hospital-management-system/dyandip-madan-gedam
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| ID Card Generator | | Author : Kalyani Ghugal | | Abstract | Full Text | Abstract :Identity verification is a crucial process for schools, businesses, and institutions where secure and standardized identification is required. Traditionally, creating ID cards has involved manual tools or basic design software, leading to inefficiencies and inconsistent results. This research introduces a web based ID Card Generator system designed to simplify and automate the process of ID card creation.Built using full stack web technologies like React.js, Node.js, and MongoDB, the system allows users to design ID cards with live preview, automatically generate unique ID numbers and QR codes, and export print ready PDF versions. The platform also includes user authentication, role based access control, and database storage of issued cards. By automating repetitive tasks and providing a modern interface, the system minimizes human error and enhances operational security. Kalyani Ghugal "ID Card Generator" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79913.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79913/id-card-generator/kalyani-ghugal
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| My First Reflar | | Author : Kartik R. Katole | | Abstract | Full Text | Abstract :This paper presents My First Reflar, an innovative web based platform designed to improve the job referral system by enabling performance based references. The platform allows candidates to undergo customized tests assigned by a referrer, ensuring a transparent, confidential, and unbiased evaluation process. Multiple companies can participate, maintaining confidentiality, and ensuring fair assessments. This paper discusses the systems design and architecture, the role of Java in backend development, and the platform’s impact on enhancing the job referral experience. Kartik R. Katole "My First Reflar" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79914.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79914/my-first-reflar/kartik-r-katole
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| Driver Booking App A Smart Driver Hiring Solution | | Author : Shubham Renghe | | Abstract | Full Text | Abstract :Today’s urban population faces challenges in finding reliable drivers for their personal vehicles. Traditional methods such as contacting local agents are inefficient and unreliable. To address this gap, the Driver Booking Application is designed as a secure, fast, and user friendly mobile platform that enables users to book verified drivers based on availability, location, and experience. The system ensures transparency through real time tracking, secure payments, and a professional rating system. This paper discusses the complete development lifecycle of the application including its design, technical architecture, challenges encountered, and the future roadmap for the project. The application offers flexibility for users and improves employment opportunities for skilled drivers. Shubham Renghe "Driver Booking App - A Smart Driver Hiring Solution" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd80018.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/80018/driver-booking-app--a-smart-driver-hiring-solution/shubham-renghe
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| A Secure and Scalable Framework for Centralized Device Management and Data Protection | | Author : Ketan Chinchulkar | | Abstract | Full Text | Abstract :This study investigates the use of the increasing significance of mobile phones in business operations, secure and efficient management of devices has emerged as a key requirement. DeviceVault is a centralized solution meant to simplify enrollment, backup, and security management of enterprise mobile devices. Through contemporary mobile management APIs and highly scalable architecture, DeviceVault provides a complete enrolling, monitoring, and security solution for Android devices in enterprise environments. The system provides for secure backups of data, real time tracking of device status, and policy management to help minimize operational risks and maximize data integrity. With a modular approach, DeviceVault can be incorporated into current IT environments to offer flexibility and system control to system administrators. This paper introduces the architecture, implementation plans, and performance analysis of DeviceVault, showing its ability to address the increasing needs of enterprise device management while ensuring strong security and scalability. Ketan Chinchulkar "A Secure and Scalable Framework for Centralized Device Management and Data Protection" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79915.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79915/a-secure-and-scalable-framework-for-centralized-device-management-and-data-protection/ketan-chinchulkar
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| CRIME INSIGHTS Visualization and Analysis with Python | | Author : Laxmit Kaur Chana | | Abstract | Full Text | Abstract :The rise in crime rates across various regions has made it increasingly important to analyze and understand crime trends for effective law enforcement and policymaking. This project, Crime Data Visualization and Analysis Using Python, aims to develop a system that enables the exploration, analysis, and visualization of crime related data to identify patterns, trends, and anomalies. The system leverages Python libraries such as Pandas, Matplotlib, Seaborn, and Plotly to clean, process, and visualize crime datasets. It allows users to filter data by parameters like crime type, location, and time frame, enabling a deeper understanding of how crimes evolve over time and space. Advanced features like heatmaps, time series graphs, and geographical mapping are included to provide a more intuitive and interactive user experience. The insights derived from this project can be used by law enforcement agencies, researchers, and policymakers to identify high crime zones, predict future crime hotspots, and allocate resources more efficiently. Overall, this project demonstrates how data science and visualization can play a crucial role in enhancing public safety and strategic decision making. Laxmit Kaur Chana "CRIME INSIGHTS: Visualization and Analysis with Python" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79917.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79917/crime-insights-visualization-and-analysis-with-python/laxmit-kaur-chana
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| HealthBridge Enhancing Patient Centered Care through Digital Health Integration | | Author : Khushbu Udasi | | Abstract | Full Text | Abstract :Effective monitoring has become essential part in the modern day to ensure public safety, particularly in congested areas such as malls, schools, hospitals, and public transit hubs. The continuous human monitoring is a major component of traditional CCTV based security systems is prone to human mistake, weariness, and delayed emergency response times. In order to detect potentially hazardous things, such knives or firearms, straight from live camera feeds, this study proposes an AI powered real time object identification system that makes use of the YOLOv5 You Only Look Once version 5 deep learning model.The system is designed to recognize threats with high accuracy and speed. Upon detection of a suspicious object, it immediately triggers an automated alert through visual and audio signals to notify the relevant security personnel. This prompt response can help prevent escalations and allow faster action in critical situations. The model is trained on a custom dataset consisting of various object classes, with a focus on hazardous items. The entire process, from capturing live video to object detection and notification, is done in real time with minimal latency.The solution combines front end interfaces for monitoring and alerting with a robust back end infrastructure that handles video streaming, model inference, and alert logic This technology greatly increases safety in sensitive areas, reduces reliance on humans, and improves surveillance dependability by automating danger identification through the use of computer vision and deep learning. Khushbu Udasi "HealthBridge: Enhancing Patient-Centered Care through Digital Health Integration" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79916.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79916/healthbridge-enhancing-patientcentered-care-through-digital-health-integration/khushbu-udasi
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| Global Book Finder | | Author : Prajwal Kapse | | Abstract | Full Text | Abstract :Find My Book is an application designed to improve store operations by managing informatic on such as inventory, sales, customer information and employee information. The system provides the ability to search, add, replace and remove books in inventory, as well as generate reports on sales, profits and inventory levels. It also includes features for managing customer accounts, such as tracking purchases, making recommendation ns, and managing loyalty programs. It also includes a membership program that gives students and customers priority, best value and annual discounts. Additionally, the system supports personnel management by allowing managers to assign responsibilities and create salary reports. Overall, Find My Book aims to improve bookstore operations, improve customer service and increase operational efficiency.In todays digital age, libraries play a crucial role in disseminating knowledge and information to diverse user communities. However, managing a library efficiently requires more than just organizing physical books it entails seamlessly integrating digital resources, facilitating user interactions, and optimizing administrative tasks. This abstract presents Find My Book designed to address the evolving needs of modern libraries, combining traditional library functions with innovative digital solutions.The proposed Find My Book encompasses several key modules to streamline library operations. The cataloging module allows librarians to categorize and classify resources, ensuring easy access and retrieval for users.Furthermore, the circulation module automates the borrowing and returning process, reducing manual workload and minimizing errors. Additionally, the system generates overdue notifications and manages fine payments, promoting accountability and timely return of borrowed materials.Moreover, the Find My Book incorporates features to enhance user engagement and satisfaction. The OPAC Online Public Access Catalog module offers a user friendly interface for patrons to search, browse, and reserve library materials remotely. Integration with discovery services and federated search engines expands access to external resources, enriching the user experience and fostering lifelong learning.Administrative functionalities are integral to the efficient management of libraries. The reporting and analytics module provides librarians with valuable insights into collection usage, patron demographics, and circulation trends. By leveraging data analytics and visualization tools, libraries can make informed decisions regarding resource acquisition, collection development, and service improvements. Admin can also give access.In conclusion, the proposed Find My Book represents a holistic approach to library administration, blending traditional principles with modern technology. By optimizing resource management, enhancing user experiences, and empowering librarians with actionable insights. Prajwal Kapse "Global Book Finder" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79918.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79918/global-book-finder/prajwal-kapse
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| E Science and Web | | Author : Prajwal Buddhe | | Abstract | Full Text | Abstract :In an age of digital transformation, E Science plays a key role in research, sharing and global revolutions.. The main goal of the platform is for researchers to create a centralized hub where researchers register experimental data, upload experimental data, publish results, and access other peoples work, in order to promote transparency and growth of collective knowledge. By bridging the gap between established and emerging researchers, the platform will not only accelerate knowledge spread, but also a global research community based on openness, accessibility and collaboration. This initiative is a key step towards democratizing science and enhancing the next generation of researchers through the power of websites. Prajwal Buddhe "E-Science and Web" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79919.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79919/escience-and-web/prajwal-buddhe
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| Design and Implementation of a Real Time Online Learning Environment with Integrated Classroom and Assignment Features | | Author : Shrawani C. Bali | | Abstract | Full Text | Abstract :Global events such as the COVID 19 pandemic have fueled the rapid growth of digital learning environments, necessitating the development of integrated, scalable, and user friendly virtual classroom solutions. This paper presents the design and development of a cloud based education management system that uses the HTML, CSS, JavaScript, React.js and MongoDB to integrate classroom management and assignment workflows. To enhance student teacher interaction, the platform incorporates Jitsi Meet for live virtual class integration, real time chat and QandA, access to recorded sessions, and automated class scheduling and reminders.Simultaneously, the system integrates robust assignment and homework management features, including task creation, submission tracking, plagiarism detection, grading, and resubmission capabilities. This system aims to close gaps in fragmented systems by being both learner friendly and administratively simple. Shrawani C. Bali "Design and Implementation of a Real-Time Online Learning Environment with Integrated Classroom and Assignment Features" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd80016.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/80016/design-and-implementation-of-a-realtime-online-learning-environment-with-integrated-classroom-and-assignment-features/shrawani-c-bali
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| Car Pooling | | Author : Pratham Prasahant Paunikar | | Abstract | Full Text | Abstract :Carpooling is an effective and sustainable solution to combat urban traffic congestion, rising fuel costs, and environmental pollution. By enabling multiple passengers to share a vehicle traveling on the same route, carpooling reduces the number of cars on the road, leading to lower carbon emissions, decreased fuel consumption, and reduced commuting expenses. This paper explores the key benefits of carpooling, the challenges it faces including safety concerns, scheduling conflicts, and public resistance and the role of technology in making carpooling more accessible and efficient. Additionally, the study examines the future potential of carpooling, especially with the rise of electric vehicles, autonomous cars, and AI based ride matching systems. Carpooling emerges as a promising approach to creating greener, more connected, and cost efficient urban transportation networks. Pratham Prasahant Paunikar "Car Pooling" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79920.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79920/car-pooling/pratham-prasahant-paunikar
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| Drivin.com Revolutionizing the Automotive Industry with Data Driven Insights | | Author : Richa Rajeev Choudhary | | Abstract | Full Text | Abstract :The Drivin Project is a user centric platform designed to simplify and personalize the process of learning how to drive by connecting learners with certified driving instructors at their preferred location. Traditional driving schools often lack flexibility in terms of scheduling and location, which creates inconvenience for users with busy lifestyles. Drivin aims to solve this problem by allowing users to hire verified instructors who can provide on demand driving lessons at their doorstep or any desired location.The platform leverages GPS based location services to match users with nearby instructors based on availability, skill level, and user ratings. It also incorporates features such as booking management, digital payments, progress tracking, and safety verification. Through this project, we aim to increase accessibility to quality driving education, ensure convenience, and empower both learners and instructors through a streamlined, tech driven solution. Richa Rajeev Choudhary "Drivin.com: Revolutionizing the Automotive Industry with Data-Driven Insights" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79935.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79935/drivincom-revolutionizing-the-automotive-industry-with-datadriven-insights/richa-rajeev-choudhary
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| DentAI An Intelligent Caries Detection System using AI Powered Diagnostics | | Author : Pruthvij D. Ghose | | Abstract | Full Text | Abstract :Dental caries is one of the most prevalent oral diseases in the world, requiring early identification and accurate diagnosis to prevent severe complications. Traditional diagnostic methods rely significantly on visual inspection and radiographic examination, which are subjective and prone to human error. This paper presents DentAI, a very advanced caries diagnosis system that uses artificial intelligence AI and deep learning algorithms to enhance the accuracy and speed of dental diagnosis. The system uses convolutional neural networks CNNs trained from a large database of dental radiographs for caries lesion detection and classification with high accuracy. DentAI also has an intuitive interface that allows real time analysis to assist dental practitioners in decision making. The suggested system shows significant improvements in diagnostic accuracy, sensitivity, and specificity compared to traditional diagnoses. The study highlights the potential of AI based technologies to revolutionize dental care by providing an automated, reliable, and accessible tool for early caries detection. Pruthvij D. Ghose "DentAI: An Intelligent Caries Detection System using AI-Powered Diagnostics" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79921.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79921/dentai-an-intelligent-caries-detection-system-using-aipowered-diagnostics/pruthvij-d-ghose
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| Automated College Timetable Generation using Genetic Algorithms and Heuristic Techniques | | Author : Ritesh Ingale | | Abstract | Full Text | Abstract :Scheduling of academic timetables is a time consuming and intricate process involving meticulous consideration of various constraints such as faculty availability, classroom resources, and institutional policies. Manual scheduling techniques are inefficient and conflict prone, resulting in resource mismanagement and administrative overheads. This research paper introduces an Automated College Timetable Generator, using optimization methods and artificial intelligence to automate the scheduling process. The proposed system aims to minimize conflicts, improve resource utilization, and enhance the efficiency of timetable creation. Our evaluation demonstrates that the automated system significantly reduces the time and errors associated with manual scheduling, offering a scalable and adaptable solution for academic institutions. Ritesh Ingale "Automated College Timetable Generation using Genetic Algorithms and Heuristic Techniques" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79936.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79936/automated-college-timetable-generation-using-genetic-algorithms-and-heuristic-techniques/ritesh-ingale
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| Innovative Approaches to Attendance Management and Effective Communication Systems | | Author : Roshan. S. Dorkhande | | Abstract | Full Text | Abstract :This research paper investigates a comprehensive attendance management system, document management system and communication system for schools. The objectives of the system are to facilitate effective school operations by automating attendance management with biometrics and RFID documentation, digitizing document management through cloud based document management systems, and facilitate effective communication through a secure messaging platform and automated notifications to stakeholders. The intention of this research is to unify these 3 elements into 1 system in order to improve efficiency, accuracy and accessibility for students, teachers, and parents. The research design involved mixed methods research, including qualitative data from administrators and quantitative data through times trials of the system. The results indicate the system was effective at streamlining efficiency in administration, reducing manual labour, and improving overall communication and record keeping efficiency of the institution. Roshan. S. Dorkhande "Innovative Approaches to Attendance Management and Effective Communication Systems" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79937.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79937/innovative-approaches-to-attendance-management-and-effective-communication-systems/roshan-s-dorkhande
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| Hierfit AI Resume Optimization for ATS | | Author : Sonali Tembhare | | Abstract | Full Text | Abstract :In the competitive landscape of job applications, particularly for Assistive Technologists ATs , the need for an optimized resume is paramount. Hierfit AI, an advanced artificial intelligence tool, offers a revolutionary approach to resume optimization by leveraging machine learning algorithms, natural language processing NLP , and data analytics. 1 This paper explores the significance of Hierfit AI in enhancing resume quality for ATs, focusing on its ability to tailor resumes to specific job descriptions, improve keyword relevance, and ensure compliance with Applicant Tracking Systems ATS . Through case studies and analysis, this research highlights the challenges faced by ATs in resume creation, such as aligning technical skills with job requirements and maintaining ATS compatibility. 3 The study underscores the importance of AI driven resume optimization in improving job application success rates, enhancing candidate visibility, and ensuring a competitive edge in the job market. 2 Sonali Tembhare "Hierfit AI Resume Optimization for ATS" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd80019.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/80019/hierfit-ai-resume-optimization-for-ats/sonali-tembhare
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| Designing an Interactive Web Application for Test Management, Grading Automation, and Progress Analysis | | Author : Rushikesh B. Patil | | Abstract | Full Text | Abstract :In the evolving landscape of education, digital solutions are increasingly replacing traditional methods of examination and grading. This research paper presents the design and development of a comprehensive web based Exam and Grade Management System using modern web technologies, specifically HTML, CSS, JavaScript, React, and MongoDB. The system facilitates the creation of online tests with various question types, including Multiple Choice Questions MCQs , Descriptive answers, and True False formats. It incorporates both auto grading algorithms for objective questions and manual grading features for subjective evaluations, ensuring flexibility and accuracy in assessment.Key functionalities include the creation of time limited tests, randomized question pools for minimizing cheating, detailed performance reports, and the generation of gradebooks and report cards with the ability to export results to PDF and Excel formats. The frontend of the application is developed using React for efficient UI rendering and interactivity, while MongoDB serves as the backend database to securely manage user data, test records, and performance analytics.Through this system, educators can streamline the entire assessment lifecycle — from test creation to final reporting — reducing manual effort, improving transparency, and enhancing the learning experience for students. This paper discusses the design methodology, implementation process, system architecture, and evaluates the effectiveness and limitations of the developed platform. Rushikesh B. Patil "Designing an Interactive Web Application for Test Management, Grading Automation, and Progress Analysis" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79938.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79938/designing-an-interactive-web-application-for-test-management-grading-automation-and-progress-analysis/rushikesh-b-patil
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| Optimizing Attendance Documentation and Communication Management Strategies for Efficiency | | Author : Sahil Dhandre | | Abstract | Full Text | Abstract :The process of recruitment has been undergoing a significant transformation, evolving from traditional resume based hiring to AI driven, skill based assessments and decisions, facilitated by Corporate Talent Acquisition Platforms CTAPs 1 . Unlike conventional keyword based filtering, modern hiring platforms incorporate behavioral analysis, work samples, and real time assessments to evaluate candidates more effectively 2 . Moreover, predictive employment forecasting is being leveraged to anticipate workforce demands, thereby reducing the pressure of last minute hiring decisions 3 .Another key development is the increasing focus on candidate experience, incorporating AI driven career coaching and personalized job recommendations to enhance engagement 4 . Employers are also striving for greater transparency and inclusivity in automated decision making, addressing concerns around AI bias and ethical hiring practices 5 . CTAPs are no longer just recruitment tools but are actively shaping the future of work by introducing agility, efficiency, and diversity into corporate hiring 6 .This study further implemented security and access control solutions using Spring Security and JWT authentication, ensuring robust protection of user data. Additionally, Docker and Kubernetes were utilized for enterprise grade scalable cloud deployment. Findings from the research indicate that the Java based talent acquisition platform significantly reduces hiring time, improves candidate selection accuracy, and enhances user experience for both recruiters and job seekers. The study contributes to the growing field of digital recruitment, demonstrating the effectiveness of full stack Java in building scalable and efficient hiring platforms. Sahil Dhandre "Optimizing Attendance Documentation and Communication Management: Strategies for Efficiency" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79939.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79939/optimizing-attendance-documentation-and-communication-management-strategies-for-efficiency/sahil-dhandre
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| Career Catalyst A Strategic Approach to Talent Development | | Author : Samruddhi Waranashiwar | | Abstract | Full Text | Abstract :With the changing global job market, emerging sectors require employees with specialized knowledge and hands on experience. Conventional education routes do not effectively fill the gap between theoretical learning and the pragmatic requirements of the workplace. Career Catalyst Initiatives CCIs have come forward as key resources to close this gap, offering students and unemployed individuals the support, training, and sectorial exposure they need to successfully move into the workforce. This essay examines the Career Catalyst Initiatives CCIs , which provide students and jobless people with the assistance, education, and industry exposure they require to effectively enter the workforce, have emerged as crucial tools to bridge this gap. The potential of Career Catalyst Initiatives to close the education employment gap is examined in this essay, with a focus on how they might prepare individuals with caregivers for expanding industries like technology, renewable energy, and healthcare innovation. Through the combination of industry engagement, skills building seminars, internships, and mentorship programs, CCIs offer priceless chances for hands on learning and professional advancement. The impact of these on participants The article also looks at employability results, industry participation, and long term professional accomplishments. This study aims to demonstrate how Career Catalyst Initiatives can act as transformative agents for workforce and sustainable economic growth in rapidly evolving industries through case study analysis and empirical data. The research suggests that in order to create a workforce that is robust and prepared for the future, there is a need for a deliberate alignment between education and industry through such efforts. Samruddhi Waranashiwar "Career Catalyst - A Strategic Approach to Talent Development" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79940.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79940/career-catalyst--a-strategic-approach-to-talent-development/samruddhi-waranashiwar
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| Pipeline Conductor Orchestrating Efficient Build, Test, and Release Workflows | | Author : Pipeline Conductor Orchestrating Efficient Build, Test, and Release Workflows | | Abstract | Full Text | Abstract :Within the fast paced world of program improvement, consistent mechanization of construct, test, and sending forms is vital for guaranteeing speed, quality, and reliability. Pipeline Conductor may be a comprehensive organization instrument planned to effectively oversee the total lifecycle of computer program conveyance. It acts as the conductor of the CI CD pipeline, intellectuals planning errands from code compilation and testing to arrangement over differing situations. By joining with well known adaptation control frameworks, testing frameworks, and sending stages, Pipeline Conductor guarantees that each arrange of the method is executed in culminate agreement. It offers highlights like energetic pipeline setup, mechanized blunder taking care of, parallel assignment execution, and nitty gritty checking dashboards. The framework engages advancement groups to discharge high quality computer program quicker and with more noteworthy certainty, diminishing manual exertion and minimizing mistakes. Through shrewdly organization, Pipeline Conductor changes program conveyance into a streamlined, unsurprising, and adaptable prepare. Sangam Rangari "Pipeline Conductor: Orchestrating Efficient Build, Test, and Release Workflows" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79941.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79941/pipeline-conductor-orchestrating-efficient-build-test-and-release-workflows/sangam-rangari
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| Digital Transformation in Residential Company Quarter Services | | Author : Saurav Wadhai | | Abstract | Full Text | Abstract :This research study investigates the modernization of Residential Company Quarter Services through the incorporation of digital technologies and systematic management practices. Employee provided housing is an important factor in sustaining employee satisfaction, retention, and overall productivity. Yet, conventional housing allocation and maintenance systems tend to characterized by inefficiencies, lack of transparency, and inconsistent service delivery. The research will determine existing challenges in residential housing management and recommend a model that utilizes automation, centralized data systems, and advanced security protocols to maximize operations. The research utilizes a mixed method approach, which involves case studies, employee surveys, and review of existing housing systems in both public and private sector organizations. Major areas of focus are effective housing allocation, real time maintenance tracking, safety and compliance measures, and the effect of these services on employee well being.Conducting research in this area proves that a housing management system using digital and open technology greatly enhances administrative effectiveness, lowers operational expense, and builds a more hospitable and enjoyable living condition among employees. Saurav Wadhai "Digital Transformation in Residential Company Quarter Services" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79942.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79942/digital-transformation-in-residential-company-quarter-services/saurav-wadhai
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| Doctor Appointments System | | Author : Sejal Jumde | | Abstract | Full Text | Abstract :Healthcare management has transformed with the implementation of digital solutions, improving efficiency in medical scheduling tremendously. The conventional manual appointment scheduling process leads to long waiting times, scheduling conflicts, and poor patient record management. The paper outlines a web based Doctor Appointments System specifically for DR Vishaka Clinic, Nagpur. The system utilizes Django, MySQL, and contemporary web technologies to automate and digitize appointment scheduling, doctor scheduling, and administrative management. Through the minimization of human errors and the enhancement of communication between doctors and patients, the system maximizes the patient experience. The performance of the proposed system is measured in terms of booking accuracy, system responsiveness, and user satisfaction. The findings show considerable decreases in waiting times and scheduling errors, hence enhancing healthcare service efficiency. Sejal Jumde "Doctor Appointments System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79943.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79943/doctor-appointments-system/sejal-jumde
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| Machine Learning for Thoracic Oncology Diagnosis, Treatment, and Prognosis | | Author : Shashikant Gaikwad | | Abstract | Full Text | Abstract :Recent development of imaging and sequencing techniques facilitates systematic promotion of the clinical study of lung cancer. In contrast, the human brain is constrained from processing and utilizing the accumulation of such vast amounts of information. Machine learning based methodologies are crucial in processing and synthesizing such vast and complicated data, which have extensively characterized lung cancer by utilizing various viewpoints from such accumulated information. We introduce briefly machine learning based methodologies integrating the heterogeneous elements of lung cancer diagnosis and treatment, such as early detection, auxiliary diagnosis, prognosis prediction, and immunotherapy practice, in this review. We also outline challenges and potentialities of further application of machine learning to lung cancer. Shashikant Gaikwad "Machine Learning for Thoracic Oncology Diagnosis, Treatment, and Prognosis" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79944.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79944/machine-learning-for-thoracic-oncology-diagnosis-treatment-and-prognosis/shashikant-gaikwad
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| Predicting Co occurring Diseases with Machine Learning A Multi Label Classification Approach | | Author : Shreya Dadwe | | Abstract | Full Text | Abstract :The sheer volume of health information were generating today, and the fact that so many widespread and infectious diseases are out there, has really made it critical that we have smart tools that can help us figure out whats going on with our health. You know, the traditional ways of diagnosing diseases can take an eternity, cost a lot of money, and even lead to mistakes, particularly when doctors are trying to sort through a lot of possibilities at the same time. So, this research is all about creating a machine learning model – a smart assistant, basically – that can review a patients basic health information and history and predict how likely they are to get a variety of diseases. The aim is to give healthcare professionals an early warning so that they can head things off and prepare the best response. We implemented a few of the various ways that these smart assistants learn in this project. We trained models using techniques such as Logistic Regression, Decision Trees, Random Forests, and Support Vector Machines or SVM for short to forecast things like diabetes, heart conditions, and Parkinsons. To make sure these models were working well, we cleaned the data used first. This meant choosing the most important information, making sure everything was working on the same level, and killing in the gaps. We then trained the models with measurements such as accuracy, precision, recall, and the F1 score to see which learned best. We also contrasted how each model performed differently for different illnesses. Shreya Dadwe "Predicting Co-occurring Diseases with Machine Learning: A Multi-Label Classification Approach" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd80017.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/80017/predicting-cooccurring-diseases-with-machine-learning-a-multilabel-classification-approach/shreya-dadwe
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| Deep Learning Based De blurring Denoising of Indian Heritage Images | | Author : Urwashi Ravindra Kaste | | Abstract | Full Text | Abstract :A new state of the art method is proposed for Indian heritage image preservation and restoration, employing advanced deep learning algorithms to combat the issue of blur, noise, and image obscurity. The intricate neural networks are designed specifically for the subtleties of the Indian heritage image restoration, striving to both deblur and reconstruct those images while keeping their historically significant features with their original visual integrity inviolable. The restoration process can be enriched by combining deep learning methods with the original materials. Thus, the historical artifacts are saved from the ravages of time and the loss of their beauty. Experimental and testing process will be done with the highest attention to details and scrutiny. This will be done to validate that the proposed solution is indeed practically feasible and ready for implementation into real life conservation projects. All these are done to ensure that the cultural heritage of India is preserved for the future.On the other hand, along with conservation, restored pictures are also conceived to become iconic symbols of India’s cultural heritage and at the same time, serve as valuable educational tools and inspire a lot of people. Indias storied past is being made more accessible all over the world thanks to the application of the latest and most sophisticated deep learning methods, thereby diminishing cultural divides and the promotion of a greater appreciation for our countrys treasured heritage. This approach not only changes the meaning of these images, but also gives them their own significance, making them enduring symbols of patriotism which will always stand to remind us that the cultural legacy of India is a living legacy and it will remain accessible for all. Urwashi Ravindra Kaste "Deep Learning-Based De-blurring/Denoising of Indian Heritage Images" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd80020.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/80020/deep-learningbased-deblurringdenoising-of-indian-heritage-images/urwashi-ravindra-kaste
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| AI Based Speech Recognition | | Author : Vaishnavi Rajendra Ninawe | | Abstract | Full Text | Abstract :The primary objective of the study is to determine Speech Recognition has become an essential technology in various application, including virtual assistants, healthcare, customer service, and accessibility tools. This paper presents an AI driven approach using Deep Learning models, particularly Convolutional Neural Networks CNNs and Recurrent Neural Networks RNNs , for accurate speech recognition. The proposed model processes audio signals, extracts features, and converts speech into text with high accuracy. We evaluate the model on benchmark datasets and compare it with traditional speech recognition techniques. The results demonstrate improved performance, making AI Based speech recognition a viable solution for real world applications. This significance of speech recognition AI and human computer interaction. The major challenges such as background noise, speaker variability. There have been accuracy issues with traditional methods based on Gaussian mixture models GMMs and hidden Markov models HMMs , especially in noisy settings. There are also persistent challenges with regard to privacy, data security, and the underrepresentation of low resource languages. Achieving greater noise robustness, extending language inclusivity, boosting contextual and emotional comprehension, and strengthening multilingual support are key to the future of AI based speech recognition. To improve the accuracy, morality, and accessibility of voice recognition, additional research and innovation are needed. Vaishnavi Rajendra Ninawe "AI Based Speech Recognition" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd80021.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/80021/ai-based-speech-recognition/vaishnavi-rajendra-ninawe
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| TrafficFlow Guardian Haproxy Empowered Traffic Balancer | | Author : Vineet Makeshwar | | Abstract | Full Text | Abstract :TrafficFlow Guardian is a project aimed at implementing a robust and scalable solution for managing incoming web traffic. By leveraging HAProxy as a load balancer and Apache HTTP servers as backend nodes, the project ensures high availability, fault tolerance, and efficient handling of client The TrafficFlow Guardian project involves setting up HAProxy as a traffic balancer to distribute incoming requests among two backend Apache HTTP servers web1 and web2 . This configuration ensures load distribution, fault tolerance, and scalability for web applications. requests. Vineet Makeshwar "TrafficFlow Guardian: Haproxy Empowered Traffic Balancer" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd80022.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/80022/trafficflow-guardian-haproxy-empowered-traffic-balancer/vineet-makeshwar
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| The Future of Energy Innovations in Solar Harvesting and Utilization | | Author : Bhavik Rathi | | Abstract | Full Text | Abstract :Solar energy systems are becoming more and more popular as a result of the growing need for renewable energy sources to fight the global energy crisis and lower carbon emissions. The design, installation, and performance assessment of a solar energy The project focuses on combining photovoltaic PV panels, energy storage, and smart grid technology to optimize energy efficiency and reliability. The systems potential to produce energy, economic feasibility, and environmental impact are all carefully considered.The systems performance is assessed in a variety of geographical and meteorological scenarios, demonstrating how solar energy can be used to suit diverse regions energy needs. Bhavik Rathi "The Future of Energy: Innovations in Solar Harvesting and Utilization" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd80041.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/80041/the-future-of-energy-innovations-in-solar-harvesting-and-utilization/bhavik-rathi
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| Driven Gardening with AI A Virtual Assistant Approach for Plant Monitoring and Care | | Author : Vishakha Kale | | Abstract | Full Text | Abstract :This extend presents an AI powered virtual right hand outlined to assist with savvy domestic planting. The partner employments manufactured insights to screen and oversee plants by collecting information from sensors like soil dampness, temperature, light, and stickiness. Based on this data, it gives recommendations to the client, such as when to water the plants, alter lighting, or alter the temperature. It can too reply gardening related questions utilizing voice or content commands. The framework makes planting simpler, particularly for tenderfoots, by making a difference them take way better care of their plants with less exertion. This keen collaborator points to advance solid plant development and spare time by mechanizing common cultivating assignments. Vishakha Kale "Driven Gardening with AI: A Virtual Assistant Approach for Plant Monitoring and Care" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd80023.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/80023/driven-gardening-with-ai-a-virtual-assistant-approach-for-plant-monitoring-and-care/vishakha-kale
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| Virtual Medical Representatives Transforming Pharmaceutical Marketing in the Digital Age | | Author : Yamini Warthi | | Abstract | Full Text | Abstract :The pharmaceutical industry heavily depends on medical representatives to deliver product insights, maintain relationships with healthcare professionals, and manage sales activities. This paper presents the design and implementation of an AI enabled Virtual Medical Representative System VMRS , built with Python and automated tools. The system offers real time communication, automated appointment handling, and intelligent analytics for personalized interactions. Our study assesses how automation influences user engagement, operational efficiency, and access to critical information. Results show that VMRS significantly enhances workflow efficiency, minimizes response delays, and improves user satisfaction. Additionally, this paper explores the application of Natural Language Processing NLP chatbots 5 , AI based recommendations 2 , and blockchain for secure data management 3 . Yamini Warthi "Virtual Medical Representatives: Transforming Pharmaceutical Marketing in the Digital Age" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd80035.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/80035/virtual-medical-representatives-transforming-pharmaceutical-marketing-in-the-digital-age/yamini-warthi
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| SMARTQR Advanced and Customizable Code Solutions | | Author : Vividh Tandekar | | Abstract | Full Text | Abstract :QR codes have developed as a fundamental tool in modern digital communication, enabling easy information exchange, contactless payments, verification, and promotion. Most of the available QR Code Generators are not highly customizable, do not provide real time tracking, and provide minimal user interaction. This paper introduces an Advanced QR Code Generator, a smart and editable tool that is designed to enhance the process of QR generation with interactive features, AI driven styling, and real time tracking.The system integrates a simple to use web and mobile app with a novel UI UX, allowing users to easily generate, customize, and manage QR codes. Live preview, drag and drop logo insertion, multiple export formats PNG, SVG, PDF , and cloud storage are some of the key features. The system further features QR code tracking and analytics, wherein users can track scan performance and engagement metrics.To support diverse user needs, the project has a free, monthly, and yearly subscription plan system using Stripe and Razorpay for secure payments. The project has an integrated admin panel for easy management of users, subscriptions, and analytics and role based authentication is also supported to offer maximum security. Cloud services such as Firebase and AWS are being used for backend operations, thus offering scalability and reliability.This research indicates the potential of combining state of the art QR code personalization, analysis, and smooth experience on a single platform. The Advanced QR Code Generator is intended to fill the gap between standard QR solutions and enterprise level needs, offering a powerful, user centric, and scalable solution for enterprises and individuals. Vividh Tandekar "SMARTQR: Advanced and Customizable Code Solutions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd80024.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/80024/smartqr-advanced-and-customizable-code-solutions/vividh-tandekar
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| WEBFUSION Unifying Frontend, Middleware, and Backend Excellence | | Author : Vrushabh Gajghate | | Abstract | Full Text | Abstract :WebFusion is a strategic model of modern web architecture that consolidates your frontend, middleware, and backend layers into a single, optimized ecosystem. By dissipating the layers of traditional architecture WebFusion creates a more collaborative and cohesive place for development, increasing code reusability, shared logic, and data models. At its core, WebFusion provides practices and patterns that simplify the full stack development workflow one or more unified state management constructs, cross tier communication protocols, and unified deployment practices. By focusing on developer efficiency and scalable performance, WebFusion allows teams to promote richer user interactions, while decreasing latency and maintaining consistency. Based on real world use cases and including technical details, this abstract shows how WebFusion moves full stack excellence from its current condition with layers of segregation to a state of continuity carrying innovation and speed in web development. Vrushabh Gajghate "WEBFUSION: Unifying Frontend, Middleware, and Backend Excellence" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd80025.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/80025/webfusion-unifying-frontend-middleware-and-backend-excellence/vrushabh-gajghate
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| E Vehicle Parking System | | Author : Abhishek Haridas Borkar | | Abstract | Full Text | Abstract :The rapid growth of electric vehicles EVs necessitates the development of efficient parking systems tailored to their unique requirements. This research presents a smart e vehicle parking solution using sensor based automation to optimize parking space utilization, reduce human effort, and support EV infrastructure. The system leverages ultrasonic sensors for real time space detection and employs a microcontroller based design to automate gate control and slot availability display. The proposed model enhances urban mobility and offers a scalable approach for future smart city integration. Abhishek Haridas Borkar "E-Vehicle Parking System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81056.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81056/evehicle-parking-system/abhishek-haridas-borkar
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| Predictive Analytics for Employee Performance Evaluation using Machine Learning Models A Data Driven Approach | | Author : Priyanka Ramji Soni | | Abstract | Full Text | Abstract :Conventional employee performance reviews are based on recurring evaluations and subjective assessments, which frequently result in prejudice, inefficiencies, and inconsistent workforce management. Although machine learning and predictive analytics have demonstrated promise in HR analytics, little is known about how they may be used in performance evaluation. The accuracy, objectivity, and real time decision making in employee assessments can be improved by using sophisticated machine learning models, such as decision trees, random forests, support vector machines SVM , and deep learning, according to this study.This study focuses on examining key performance indicators KPIs , such as productivity measures, peer feedback, and behavioural patterns, to close the gap between conventional evaluation techniques and AI driven insights. It also looks at how explainable AI XAI may guarantee fairness and openness in automated performance evaluations. The results show that incorporating predictive analytics into frameworks for performance evaluations can result in better workforce efficiency, less bias, and more data driven decision making. To implement AI powered HR analytics, this study offers firms a methodical strategy that facilitates more equitable evaluations, improved talent retention, and smart workforce planning. Priyanka Ramji Soni "Predictive Analytics for Employee Performance Evaluation using Machine Learning Models: A Data-Driven Approach" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd80033.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/80033/predictive-analytics-for-employee-performance-evaluation-using-machine-learning-models-a-datadriven-approach/priyanka-ramji-soni
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| Academic Performance Monitoring System | | Author : Shivam Sajjan Thengane | | Abstract | Full Text | Abstract :The Academic Performance Monitoring System APMS is a web based application designed to streamline the tracking, analysis, and reporting of student academic performance in educational institutions. The system aims to automate manual processes, enhance data accuracy, and provide actionable insights through visual analytics for teachers, administrators, and students. By integrating modules for student profiles, performance tracking, attendance, and automated reporting, APMS ensures efficient management of academic records and supports data drivendecision making to improve learning outcomes. This report outlines the projects objectives, scope, methodology, system design, implementation plan, and expected outcomes. It is a web based application designed to automate and enhance the tracking, analysis, and reporting of student academic performance in educational institutions. The system aims to replace manual record keeping with a centralized, database driven platform that ensures data accuracy, security, and accessibility. APMS provides role based modules for students, teachers, and administrators, enabling functionalities such as grade entry, attendance tracking, project management, and performance analytics through intuitive dashboards and visual representations e.g., graphs, charts . Automated report generation and predictive analytics support data driven decision making to improve learning outcomes. By streamlining academic processes and offering actionable insights, APMS seeks to enhance institutional efficiency, foster student success, and facilitate effective communication among stakeholders. Shivam Sajjan Thengane "Academic Performance Monitoring System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd80034.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/80034/academic-performance-monitoring-system/shivam-sajjan-thengane
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| Fitness Tracker and Meal Planner | | Author : Yash Raikwar | | Abstract | Full Text | Abstract :A healthy lifestyle necessitates striking a balance between exercise and a balanced diet. Fitness trackers and meal planning apps have been made possible by technological developments, but they frequently operate separately. This study suggests an integrated fitness tracker and meal planner system that combines AI powered diet and exercise suggestions with real time health data. The study assesses the methods, data sources, and technology currently in use for creating such a system.A prototype implementation was tested, demonstrating improved adherence to fitness and dietary goals. The study highlights the advantages of a unified health management approach over standalone applications. Yash Raikwar "Fitness Tracker & Meal Planner" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd80036.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/80036/fitness-tracker-and-meal-planner/yash-raikwar
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| Vandal a Version Control System | | Author : Krishi A. Shahu | | Abstract | Full Text | Abstract :Version control systems VCS are fundamental to modern software development, enable developers to collaborate, track changes and manage the source code effectively. It introduces Paper Vendles, which is an online version control platform inspired by Github, designed to provide developers with a spontaneous and adaptable environmental environment. Mern has been developed using Mern Stack Mongob, Express.JS, React.JS, Node.JS , Vandle Core Github is a copy of functionalism such as creation creation, the committees tracking, branch management and user approval. The system shows the possibility of creating a scalable version control interface from scratch and highlights the importance of integrating the necessary developer tool into a spontaneous workflow. Distribution strategies and performance of performance are discussed, and perform the systems abilities and practical implementation challenges. Wandle provides a promising foundation for pursuing a collaborative coding environment and Open Source Hosting solutions. Krishi A. Shahu "Vandal a Version Control System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd80038.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/80038/vandal-a-version-control-system/krishi-a-shahu
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| Enhancing Cloud Infrastructure Management through DevOps and Automation A Practical Approach using IaC and Orchestration Tools | | Author : Harshal Bajirao | | Abstract | Full Text | Abstract :The Cloud Automation Project aims to optimize and improve cloud resource management through the automation of provisioning, configuration, monitoring, and scaling activities. The project leverages Infrastructure as Code IaC concepts that allow users to define and manage cloud infrastructure in terms of code. Through the automation of processes such as resource deployment, scaling, and security management, the project aims to reduce human error, improve operation effectiveness, and deliver consistency across environments. The project integrates multiple cloud platforms, such as AWS, Azure, and Google Cloud, using tools such as Terraform, Ansible, and Kubernetes to enable the automation of creating, managing, and scaling cloud focused applications and services.The system is programmed to scale resources automatically based on performance needs, thereby reducing costs and improving reliability. The key aim is to enhance DevOps methodologies, increase application deployment speed, and allow businesses to invest more in innovation rather than in managing infrastructure. Cloud automation allows organizations to attain higher agility, scalability, and resiliency within their cloud environments. Harshal Bajirao "Enhancing Cloud Infrastructure Management through DevOps and Automation: A Practical Approach using IaC and Orchestration Tools" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd80037.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/80037/enhancing-cloud-infrastructure-management-through-devops-and-automation-a-practical-approach-using-iac-and-orchestration-tools/harshal-bajirao
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| EMOTIONAL HARMONY AI Driven Mood to Music Mapping System | | Author : Nameera Tahir | | Abstract | Full Text | Abstract :The Eco Mode AI Based Mood Music Matching system is a modern approach that adds the emotion recognition and energy optimization to deliver a personalized and sustainable music experience. As per need for intelligent and context aware technologies increases, this system addresses two key aspects user emotional engagement and energy efficiency. Utilizing artificial intelligence methods such as facial expression recognition, speech emotion analysis, or sentiment interpretation from text, the system identifies the users current emotional state in real time. Based on the detected mood—such as happy, sad, calm, or angry—the system intelligently detect and plays a music playlist that resonates with the user’s emotional needs. To optimize minimal energy use, especially in mobile and smart home environments, the system simultaneously activates an eco mode. This eco mode feature automatically adjusts the proper device settings such as screen brightness, audio output levels, background application use, and connectivity settings, reducing overall electricity consumption without affecting the user experience. The integration of mood based music recommendation with eco conscious device management creates a perfect balanced solution to enhance emotional well being while promoting environmental sustainability. This project prove the potential of AI to not only personalize digital experiences but also contribute to energy conservation in everyday technology use. Nameera Tahir "EMOTIONAL HARMONY: AI-Driven Mood-to-Music Mapping System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd80039.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/80039/emotional-harmony-aidriven-moodtomusic-mapping-system/nameera-tahir
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| Optimizing Financial Decision Making BMO Bank’s Use of Predictive Analytics | | Author : Nihal S. Malvi | | Abstract | Full Text | Abstract :Banking firms are increasingly relying on predictive analytics to improve their decision making and enhance operational efficiency in the face of rapid financial changes. This paper outlines BMO Banks strategic use of predictive analytics to enhance financial decision making, risk mitigation, and customer satisfaction. The bank employs predictive analytics, which involves the use of data from past events, machine learning algorithms, and statistical models to predict future patterns, customer behavior, or market fluctuations.BMO Bank employs predictive analytics to assess credit risk, detect fraud, optimize investments, and provide personalized banking services. Through the analysis of customer transaction data and credit histories, the bank can make more precise loan approval decisions while minimizing the risk of default. Predictive modeling based fraud detection systems help identify suspicious activities and provide protection for both banks and customers. The use of predictive models in investment management helps optimize portfolio performance by anticipating market fluctuations and asset volatility. Also, it improves customer relationship management by providing personalized banking advice and targeted financial products using behavioral analysis.BMO Banks utilization of predictive analytics is exemplified in this research, which highlights the power of data analysis to enhance the banks competitiveness. Advanced analytics tools enable the bank to improve decision making, operational efficiency, and customer value. These findings highlight the importance of predictive analytics in modern banking and how it could impact future financial services. Nihal S. Malvi "Optimizing Financial Decision-Making: BMO Bank’s Use of Predictive Analytics" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd80040.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/80040/optimizing-financial-decisionmaking-bmo-bank’s-use-of-predictive-analytics/nihal-s-malvi
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| Be Clever Revolutionizing Education Unveiling the Impact of Online Learning | | Author : Mitali Dongre | | Abstract | Full Text | Abstract :In a time when digital literacy is crucial, the Be Clever course offers a complete analysis of how the quality of learning services influences the quality of the Be Clever learning system. To confirm that participants have a comprehensive grasp of multiple coding languages, this program module is perfectly for students from diverse backgrounds—offers a dynamic blend of theoretical understandings and practical applications. With virtual online courses, students have greater flexibility and adaptability about the time and place of their education. However, students often experience perfect, unpleasant feelings while interacting with online learning resources because they lack access to emotional support. To show how human computer interaction and technology enhanced learning are integrated, a thorough examination is required. The BE Clever website serves as an illustration of the cooperation method. One instance of the collaborative method developed is the BE Clever website. The results demonstrate that, in the Be Clever learning system, user happiness with learning websites, the caliber of instructional materials, and the efficacy of e learning services all significantly affect learning user loyalty by 80 . The usage of the learning system affects students satisfaction and loyalty since the teaching methodology built to provide them easy access to knowledge and the freedom to learn on their own. Mitali Dongre "Be-Clever: "Revolutionizing Education: Unveiling the Impact of Online Learning"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd80042.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/80042/beclever-revolutionizing-education-unveiling-the-impact-of-online-learning/mitali-dongre
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| Loan Eligibility Prediction | | Author : Abhilash G Sayare | | Abstract | Full Text | Abstract :With the banking sector now operating in a high tech mode, the necessity for effective, precise, and computerized loan sanctioning systems has become very crucial. The old manual mode is usually tardy and prone to errors, prompting the usage of data based decision making procedures. This study delves into the use of machine learning methodologies for forecasting loan approval or rejection on the basis of applicant information like income, job status, credit history, and loan value. On a publicly available dataset, several models like Logistic Regression, Decision Trees, Random Forest, and Support Vector Machines were created and tested. The research highlights the significance of data preprocessing, feature selection, and model tuning in getting the best predictive performance. The findings indicate that ensemble models, specifically Random Forest, result in the best accuracy, giving promising potential to accelerate the speed and fairness of the loan approval process. This research helps to construct more consistent and open credit assessment systems for financial institutions. Abhilash G Sayare "Loan Eligibility Prediction" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81055.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81055/loan-eligibility-prediction/abhilash-g-sayare
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| Sales Insights using Data Analytics Real Time Tracking and Optimization Of Sales | | Author : Adesh Pimpalkar | | Abstract | Full Text | Abstract :This project offers a data based solution custom made for hardware firms, meant to assist sales managers in tracking and improving sales performance in multiple branches. The system utilizes data analytics methods to monitor sales production in real time, detect poorly performing branches, and identify areas with good sales performance. By utilizing easy to understand visualizations, trend analysis, and key performance indicators KPIs , the solution equips sales managers to maximize sales strategies, assign resources optimally, and steer overall business performance. Key findings reveal that real time tracking of data leads to a more proactive sales management style, which yields substantial performance gains across branches. Adesh Pimpalkar "Sales Insights using Data Analytics: Real-Time Tracking and Optimization Of Sales" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81057.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81057/sales-insights-using-data-analytics-realtime-tracking-and-optimization-of-sales/adesh-pimpalkar
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| Community Event Finder | | Author : Aditya Munjewar | | Abstract | Full Text | Abstract :In todays digitally connected world, communities often struggle to stay informed about local events and gatherings that promote social cohesion and civic engagement. This research presents the design and development of a Community Event Finder, a location based application that enables users to discover, share, and engage with events in their local area. Leveraging geolocation, event categorization, and user generated content, the platform bridges the gap between event organizers and community members. The system is designed to be scalable, with features including real time event updates, user feedback mechanisms, and smart filtering based on interests and proximity. Through usability testing and community feedback, the study evaluates the effectiveness of the application in increasing event awareness and participation. The results indicate a significant improvement in community interaction and event attendance. This paper discusses the architecture, implementation, and social impact of the system, highlighting its potential as a tool for fostering stronger, more connected communities. Aditya Munjewar "Community Event Finder" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81058.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81058/community-event-finder/aditya-munjewar
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| India Rainfall Predication | | Author : Rajat S. Pullekar | | Abstract | Full Text | Abstract :Accurate rainfall prediction is crucial for effective water resource management, agriculture planning, and disaster mitigation in India, where the monsoon plays a vital role in the economy and livelihoods. This project focuses on developing a predictive model for rainfall in India using historical weather data and machine learning techniques. By analyzing key meteorological parameters such as temperature, humidity, wind speed, and previous rainfall patterns, the model aims to forecast rainfall intensity with high accuracy. The study employs data prepossessing, feature selection, and multiple algorithms including Linear Regression, Decision Trees, and Random Forests, comparing their performance to identify the most suitable model. The results demonstrate that machine learning can significantly enhance rainfall forecasting capabilities compared to traditional statistical methods. The project contributes to building a more reliable early warning system, supporting farmers, policy makers, and disaster management authorities in making informed decisions. Rajat S. Pullekar "India Rainfall Predication" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81106.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81106/india-rainfall-predication/rajat-s-pullekar
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| NEWSIQ AI News Summarizer and Categorizer | | Author : Anurag Baghade | | Abstract | Full Text | Abstract :In the rapid proliferation of online news content has made it increasingly difficult for readers to keep up with the vast amount of information. To address this challenge, this paper proposes an AI based news summarizer and categorizer that automates the process of extracting key insights and classifying news articles into predefined categories. The system leverages Natural Language Processing NLP techniques, such as BERT and TF IDF, for feature extraction, sentiment analysis, and text categorization. The summarization process integrates extractive and abstractive methods to generate concise and informative summaries while preserving the core message. Additionally, the categorization module uses supervised learning algorithms to classify news articles across diverse topics like politics, sports, technology, and health. Evaluation on real world datasets demonstrated that the proposed model achieves high accuracy in categorization and generates coherent, human like summaries.The system enhances information retrieval by reducing reading time and providing organized access to news content. This research contributes to the advancement of automated news processing systems, improving user experience by delivering timely and personalized news summaries. Anurag Baghade "NEWSIQ: AI News Summarizer & Categorizer" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81059.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81059/newsiq-ai-news-summarizer-and-categorizer/anurag-baghade
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| AI Powered Vision and Recommendation System | | Author : Yash Khandare | | Abstract | Full Text | Abstract :Human computer interaction is changing as a result of the integration of Artificial Intelligence AI into vision and recommendation systems. The current study suggests a novel AI based system that can recognize hand gestures and facial expressions, process photos and videos, provide precise descriptions, and recommend tailored content. The system bridges the gap between visual data processing and user centric content delivery by utilizing Convolutional Neural Networks CNNs , Recurrent Neural Networks RNNs , and Natural Language Processing NLP . For fields like digital media, security, and assistive technology, the proposed solution is extremely beneficial. Yash Khandare "AI-Powered Vision and Recommendation System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81117.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81117/aipowered-vision-and-recommendation-system/yash-khandare
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| Aviath AI An Intelligent Virtual Assistant for Enhanced User Interaction | | Author : Ashiya Anjum | | Abstract | Full Text | Abstract :This paper introduces Aviath AI, a cutting edge virtual assistant that combines state of the art natural language processing NLP , federated learning, and context aware dialogue management. Aviath AI is designed to provide a more precise, efficient, and privacy respecting alternative to current virtual assistants. The system was tested against several criteria, such as task completion accuracy, response time, resource usage, and user satisfaction. Outcomes indicate that Aviath AI surpasses industry competitors in task correctness, registering a 92 success rate for simple tasks and 75 for intricate, multi turn interactions. Data privacy is maintained by the federated learning process of the system, which upholds high levels of user confidence. Although certain difficulties arise in the case of vague queries and resource usage in intensive tasks, Aviath AI reflects enormous potential in boosting virtual assistant technology. The work concludes with future prospectives for improvements on query handling and performance. Ashiya Anjum "Aviath AI: An Intelligent Virtual Assistant for Enhanced User Interaction" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81060.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81060/aviath-ai-an-intelligent-virtual-assistant-for-enhanced-user-interaction/ashiya-anjum
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| AI Liner | | Author : Sanket S. Tembhare | | Abstract | Full Text | Abstract :AI liner is a next generation AI powered summarization tool developed to generate intelligent and context aware one liners from long form textual content. With the exponential growth of information across digital platforms, readers often face challenges in consuming large volumes of text efficiently. AI liner addresses this by producing concise summaries that preserve the essence of the original content while remaining highly readable. The system integrates state of the art natural language processing NLP techniques and transformer based models such as GPT and T5 to deliver quality one liner outputs. The goal is to enhance productivity for individuals and organizations needing fast content digestion, and the results show promise across various domains including education, journalism, and business reporting. Sanket S. Tembhare "AI Liner" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81109.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81109/ai-liner/sanket-s-tembhare
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| VIBETARA Online Cloth Selling Site | | Author : Atharva Ravi Ghodvaidya | | Abstract | Full Text | Abstract :In the evolving landscape of digital commerce, online clothing platforms have gained significant momentum by offering convenience, variety, and personalized experiences to customers. VIBETARA is a web based online cloth selling site developed to streamline the clothing shopping experience by integrating user friendly navigation, secure transactions, and a dynamic product catalog. This research explores the design and development of VIBETARA, focusing on core functionalities such as user registration, product search and filtering, cart management, order tracking, and admin inventory control. The platform is built using modern web technologies to ensure responsiveness, scalability, and data security. The study also examines customer behavior trends and the role of digital interfaces in influencing purchase decisions. Future enhancements like AI powered recommendations and virtual try ons are discussed to highlight the system’s growth potential. VIBETARA aims to bridge the gap between fashion retailers and online consumers, making clothing shopping more accessible and engaging. Atharva Ravi Ghodvaidya "VIBETARA - Online Cloth Selling Site" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81061.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81061/vibetara--online-cloth-selling-site/atharva-ravi-ghodvaidya
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| Agri Rental | | Author : Jayant Krishna Rao Raut | | Abstract | Full Text | Abstract :In today’s changing agricultural landscape, access to modern tools and machinery remains a major challenge, especially for smallholder farmers. Buying expensive equipment often isn’t practical for those with limited resources. This research focuses on Agri Rental a system that allows farmers to rent agricultural equipment instead of purchasing it, making farm mechanization more affordable and accessible. By exploring various models of equipment leasing in agriculture, this study highlights how Agri Rental services can improve farm productivity, promote sustainable farming, and support overall rural development. Real world case studies demonstrate how digital agriculture platforms and community based Agri Rental initiatives are bridging the gap between technology and traditional farming. Finally, the paper offers insights into strengthening Agriculture as a Service AaaS solutions to create a more inclusive, cost effective, and resilient farming future. Jayant Krishna Rao Raut "Agri-Rental" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81076.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81076/agrirental/jayant-krishna-rao-raut
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| Loan Management System | | Author : Bhushan Bhagwat Pakhidde | | Abstract | Full Text | Abstract :The new proposed System is a digital solution designed to streamline and automate the end to end loan processing workflow for financial institutions and individual lenders using the latest technology which provides the better flexibility. Traditional loan handling often relies on manual paperwork, resulting in delayed approvals, increased chances of human error, and lack of transparency and slow work process. This new proposed project addresses these issues by offering a centralized, user friendly platform that manages key functionalities like loan applications, credit assessment, document verification, repayment tracking, and report generation. Admin panel can efficiently manage borrower data, configure loan policies, and monitor different loan status in real time. Borrowers are enabled to register, apply for loans, upload necessary documents, and track their application progress through a secure interface at any time anywhere 24 7 as per need. Built using modern technologies like HTML, CSS, JavaScript for the frontend, and PHP or Node.js with a relational database such as MySQL for the backend, this new proposed system ensures high performance, security, and scalability. By cutting manual processes and enhancing transparency, the Loan Management System improves operational efficiency and provides a more reliable, digital first lending experience. This new module showcases both technical competence and an understanding of practical challenges in financial process automation. Keywords Loan Management, Digital Lending, Loan Automation, Borrower Management, Credit Assessment, Repayment Tracking, Financial Technology, Loan Processing System, Web Based System, Secure Loan Platform. Bhushan Bhagwat Pakhidde "Loan Management System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81062.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81062/loan-management-system/bhushan-bhagwat-pakhidde
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| Predictive Modeling for Insurance Premium Pricing | | Author : Chandrahasya Ravindra Datarkar | | Abstract | Full Text | Abstract :This research explores the development and application of predictive modeling techniques for insurance premium pricing, aiming to enhance pricing accuracy, risk assessment, and operational efficiency within the insurance industry. With the increasing availability of structured and unstructured data, traditional actuarial methods are being augmented—and in some cases replaced by advanced machine learning algorithms. This study investigates various modeling approaches including linear regression, decision trees, gradient boosting, and neural networks, comparing their performance in predicting insurance premiums based on customer profiles, historical claims, policy details, and behavioral factors. The research emphasizes data preprocessing, feature engineering, model validation, and interpretability, highlighting the trade offs between model complexity and transparency. Our findings demonstrate that predictive models can significantly improve premium pricing strategies, reduce adverse selection, and support fairer and more personalized insurance offerings. This paper contributes to the evolving landscape of data driven decision making in insurance, providing a framework that balances accuracy, fairness, and regulatory compliance. Chandrahasya Ravindra Datarkar "Predictive Modeling for Insurance Premium Pricing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81063.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81063/predictive-modeling-for-insurance-premium-pricing/chandrahasya-ravindra-datarkar
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| A Web Based Insurance Quotation and User Management System using MERN Stack | | Author : Divya Ghodmare | | Abstract | Full Text | Abstract :The digital transformation of the insurance industry has significantly altered how customers interact with insurers and obtain coverage. Traditional methods, which often require manual intervention and face to face meetings, are being replaced by more efficient, self service online platforms. This paper presents a web based insurance quotation and management system developed using the MERN stack MongoDB, Express.js, React, Node.js . The system provides users with an easy to use platform to generate dynamic insurance premium quotes based on user specific inputs, such as age and insurance type, and securely stores user data and quote history. The backend leverages Node.js and Express.js for efficient handling of user requests, while MongoDB is used to store user profiles and quotes. Security is ensured through the use of JSON Web Tokens JWT for user authentication and authorization. Additionally, the system uses bcrypt for secure password hashing to protect user credentials.The system simplifies the insurance process by enabling users to interact with an automated platform, reducing human errors and time spent on manual tasks. This system also offers scalability, making it an ideal solution for insurance providers to integrate into their services. The paper highlights the architecture, features, and technologies behind the system, showcasing how modern web technologies can be used to enhance the user experience and streamline insurance quoting and management. Divya Ghodmare "A Web-Based Insurance Quotation and User Management System using MERN Stack" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81064.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81064/a-webbased-insurance-quotation-and-user-management-system-using-mern-stack/divya-ghodmare
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| Deep Learning EEG Cognitive State Detection | | Author : Divyanshu Wanjarkar | | Abstract | Full Text | Abstract :This study suggests using electroencephalography EEG in conjunction with a convolutional neural network CNN model to detect major depressive disorder MDD . In the suggested approach, a CNN model trained to identify the distinctive EEG signs of sadness processed EEG data images with brain activity patterns linked to MDD. Early detection and intervention are made easier by the CNN models output, which indicates the existence and severity of MDD. This method has the potential to completely change the diagnosis of depression by offering a quicker, more objective, and more accessible way to detect people who are at risk of developing major depressive disorder MDD . This would improve patient outcomes and lessen the burden of this looming condition on society. Divyanshu Wanjarkar "Deep Learning EEG Cognitive State Detection" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81073.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81073/deep-learning-eeg-cognitive-state-detection/divyanshu-wanjarkar
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| Consumer Behavior Analysis using Natural Language Processing | | Author : Rutik Raju Panjrekar | | Abstract | Full Text | Abstract :In the modern data driven marketplace, understanding consumer behavior is essential for businesses aiming to gain a competitive edge. . This research investigates the application of Natural Language Processing NLP in analyzing unstructured text data such as online reviews, social media content, and customer feedback to uncover sentiments, behavioral patterns, and decision making cues. Techniques including sentiment analysis, topic modeling, and opinion mining are employed to extract actionable insights that go beyond traditional survey methods. The study highlights how NLP enables scalable, real time consumer behavior analysis, empowering marketers and product teams with data driven strategies for engagement and innovation. Rutik Raju Panjrekar "Consumer Behavior Analysis using Natural Language Processing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81108.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81108/consumer-behavior-analysis-using-natural-language-processing/rutik-raju-panjrekar
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| WEB VS. NATIVE The App Showdown | | Author : Goraksh Lambat | | Abstract | Full Text | Abstract :Progressive Web Apps PWAs and Native Apps are now two important options for companies and developers due to the quick development of web and mobile technology. This study compares each in detail based on performance, security, development cost, user experience, and future scope, highlighting the main distinctions, benefits, and drawbacks of each. Goraksh Lambat "WEB VS. NATIVE: The App Showdown" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81074.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81074/web-vs-native-the-app-showdown/goraksh-lambat
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| A Study on Impact of E Commerce on India’s Commerce | | Author : Jai P Raut | | Abstract | Full Text | Abstract :E commerce has fundamentally transformed Indias commercial landscape over the past decade, creating new market dynamics and reshaping traditional business models. This study examines the multifaceted impact of e commerce on Indias commerce ecosystem, analyzing growth trends, sectoral transformations, and economic implications. The research investigates how various sectors including retail, manufacturing, and services have adapted to the digital marketplace paradigm. It further evaluates the influence of key factors such as digital infrastructure development, government policies, consumer behavior shifts, and technological advancements on e commerce penetration across urban and rural markets. Using statistical analysis and econometric modeling of market data spanning 2015 2025, the study identifies correlation patterns between e commerce growth and traditional commerce indicators. The findings provide valuable insights for businesses, policymakers, and investors navigating Indias evolving commercial landscape, with particular focus on sustainability challenges and future growth opportunities in the digital economy. Jai P Raut "A Study on Impact of E-Commerce on India’s Commerce" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81075.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81075/a-study-on-impact-of-ecommerce-on-india’s-commerce/jai-p-raut
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| Agri Rental | | Author : Jayant Krishna Rao Raut | | Abstract | Full Text | Abstract :In today’s changing agricultural landscape, access to modern tools and machinery remains a major challenge, especially for smallholder farmers. Buying expensive equipment often isn’t practical for those with limited resources. This research focuses on Agri Rental a system that allows farmers to rent agricultural equipment instead of purchasing it, making farm mechanization more affordable and accessible. By exploring various models of equipment leasing in agriculture, this study highlights how Agri Rental services can improve farm productivity, promote sustainable farming, and support overall rural development. Real world case studies demonstrate how digital agriculture platforms and community based Agri Rental initiatives are bridging the gap between technology and traditional farming. Finally, the paper offers insights into strengthening Agriculture as a Service AaaS solutions to create a more inclusive, cost effective, and resilient farming future. Jayant Krishna Rao Raut "Agri-Rental" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81076.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81076/agrirental/jayant-krishna-rao-raut
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| AUTOTRADER AI Intelligent Trading Automation System for Real Time Market Analysis and Execution | | Author : Nilesh Shende | | Abstract | Full Text | Abstract :In today’s fast paced financial markets, making profitable trades is not just about knowledge—it’s about speed, data, and precision. Traditional trading often involves emotional decisions, delayed reactions, and human error. This paper presents a smart, automated trading system designed to reduce these limitations using Artificial Intelligence AI and Machine Learning ML . The system learns from market data, makes predictions, and places trades in real time without manual intervention. It is developed to assist both novice and experienced traders in optimizing returns and reducing risk. The system is integrated with real time APIs, ensures fast execution, and adapts to changing market trends through continuous learning. Nilesh Shende "AUTOTRADER AI: Intelligent Trading Automation System for Real-Time Market Analysis and Execution" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81079.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81079/autotrader-ai-intelligent-trading-automation-system-for-realtime-market-analysis-and-execution/nilesh-shende
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| Hospital Management System | | Author : Komal Nagrikar | | Abstract | Full Text | Abstract :The traditional one size fits all education model fails to accommodate diverse learning styles, leading to disengagement and knowledge gaps. This paper introduces an AI powered Smart Tutoring System STS that delivers personalized learning experiences using Natural Language Processing NLP , machine learning, and adaptive algorithms. STS monitors student progress, adjusts content delivery in real time, and provides intelligent feedback. Our implementation using Python and educational datasets demonstrates how AI can enhance learning efficiency, improve engagement, and support differentiated instruction. The system also integrates blockchain for secure academic record management. Komal Nagrikar "Hospital Management System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81077.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81077/hospital-management-system/komal-nagrikar
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| Forecasting Netflix Subscription Growth A Time Series Analysis using ARIMA and LSTM Models | | Author : Manasvi Gade | | Abstract | Full Text | Abstract :The rapid growth of digital streaming platforms has transformed the entertainment industry, with Netflix leading the market. This study analyzes historical Netflix subscription data to identify trends, seasonality, and patterns affecting subscriber growth. We preprocess the data, handle missing values, and perform exploratory data analysis EDA to understand its characteristics.To forecast future subscriptions, we implement and compare ARIMA and LSTM models. Both models are trained on historical data and evaluated using RMSE and MAPE for accuracy. The analysis reveals seasonal patterns and growth spikes, offering insights into future subscription trends. Based on these predictions, we provide data driven recommendations to optimize business strategies and maintain market leadership. Manasvi Gade "Forecasting Netflix Subscription Growth: A Time Series Analysis using ARIMA and LSTM Models" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81078.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81078/forecasting-netflix-subscription-growth-a-time-series-analysis-using-arima-and-lstm-models/manasvi-gade
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| BANKBOOT Spring Boot Financial Services Platform | | Author : Pawan Lad | | Abstract | Full Text | Abstract :The development of banking systems has evolved from legacy, traditional systems to contemporary digital systems that utilize innovative technologies for greater efficiency, security, and convenience. This paper discusses the design, implementation, and performance assessment of a Spring Boot Banking System, a scalable and secure platform for conducting banking operations. The platforms system implements the Spring Boot framework to secure a solid backend framework, along with Spring Security for safe authentication and JWT for authorization. It includes features of user registration, account maintenance, transaction processing, and admin controls.The system was tested in terms of performance, scalability, and security, and the findings indicated quick processing times for transactions, support for a high number of concurrent users, and safe management of sensitive user information. The solution proposes to overcome the shortcomings of legacy banking systems through a contemporary, user friendly interface with increased security features and support for scaling according to the expanding needs of financial institutions.The study also suggests potential enhancements in the future, such as integrating mobile banking, AI based fraud detection, and researching blockchain to verify transactions. The Spring Boot Banking System provides an overall solution to contemporary banking issues and is thus a desirable tool for banks to innovate and enhance their online banking solutions Pawan Lad "BANKBOOT: Spring Boot Financial Services Platform" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81080.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81080/bankboot-spring-boot-financial-services-platform/pawan-lad
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| Inventory Portal | | Author : Piyush Satpute | | Abstract | Full Text | Abstract :Keeping track of inventory is essential for any business to run smoothly. A well organized system helps maintain stock levels, prevents shortages, and reduces waste. The proposed Inventory Portal is a web based solution that simplifies stock tracking, automates order processing, and updates inventory in real time. It includes features like barcode scanning, user based access control, automated restocking alerts, and detailed reports.This system is designed to make inventory handling easier, minimize errors, and support businesses of all sizes. Additionally, it offers predictive analytics to forecast demand trends, ensuring businesses are prepared for fluctuations in stock requirements. The portal is scalable and adaptable to various industries, from retail to manufacturing, enhancing operational efficiency and reducing financial losses. Piyush Satpute "Inventory Portal" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81081.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81081/inventory-portal/piyush-satpute
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| Youtube Transcript Summarizer in Java | | Author : Pooja. S. Pudage | | Abstract | Full Text | Abstract :In the era of information overload, YouTube has emerged as a dominant platform for video based content, with over 2.6 billion users and thousands of hours of video uploaded every hour. However, extracting relevant information from lengthy or unstructured videos can be time consuming and inefficient, often leading to user frustration. This research presents the development of a Chrome extension that leverages Natural Language Processing NLP to summarize YouTube video transcripts in real time. By converting video audio into textual transcripts and applying extractive summarization techniques, the extension delivers concise summaries that allow users to grasp key insights without watching entire videos. The extension integrates seamlessly into the browser, providing an on demand summarization feature activated while a video plays in the background. This tool significantly enhances user productivity by eliminating the need to sift through irrelevant or redundant content. Performance evaluation indicates high accuracy in extracting meaningful content, with summaries generated in under a minute. This research contributes to improved information accessibility and offers a scalable solution for efficient content consumption in digital learning and media exploration. Pooja. S. Pudage "Youtube Transcript Summarizer in Java" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81082.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81082/youtube-transcript-summarizer-in-java/pooja-s-pudage
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| Transforming Immigration Services Visify – A Smart Web Platform for e Visa Management | | Author : Prachi Vinod Mandurkar | | Abstract | Full Text | Abstract :Visify is an internet based system specifically designed to make and simplify the visa application process. Its primary objective is minimizing manual handling and automating phases of the visa process for faster efficiency, greater accuracy, and more transparency. The applicants can apply on a clean, simple and an easy to use interface and they get registered and submit pertinent documents and they can also view the progress in real time on their respective visa applications. On the administrative side, the system assists visa officers to process applications more efficiently and on time, with significant reductions to processing time and human mistakes. In this paper, we explain the motivation behind Visify, its architecture, key features, technology employed, and how it is revolutionizing conventional visa processing to a more accessible, technology backed solution.In addition, the system has secure login modules, role based access control, and electronic document verification to ensure data integrity. Developed with contemporary web development tools, Visify guarantees cross device responsiveness and intuitive user experience. It also offers analytics dashboards for administrators to monitor pending applications and bottlenecks. The platform is designed to prioritize scalability and can be used by multiple countries with minimal customization. Visify is therefore a major step towards digital governance in global mobility systems. Prachi Vinod Mandurkar "Transforming Immigration Services: Visify – A Smart Web Platform for e-Visa Management" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81104.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81104/transforming-immigration-services-visify-–-a-smart-web-platform-for-evisa-management/prachi-vinod-mandurkar
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| A Comprehensive Study of AWS CloudWatch Monitoring and Management in the Cloud | | Author : Prashant Z. Ambule | | Abstract | Full Text | Abstract :This paper provides a detailed exploration of Amazon Web Services AWS CloudWatch, a powerful monitoring tool used to track the performance and health of resources running in AWS. It covers its architecture, use cases, features, and benefits, highlighting its role in cloud management and optimization. The study also addresses the integration of CloudWatch with other AWS services and explores best practices for leveraging CloudWatch for efficient system monitoring. Prashant Z. Ambule "A Comprehensive Study of AWS CloudWatch: Monitoring and Management in the Cloud" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81105.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81105/a-comprehensive-study-of-aws-cloudwatch-monitoring-and-management-in-the-cloud/prashant-z-ambule
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| Streamlit Based Lung Cancer Detection using Deep Learning Modules | | Author : Sudhanshu Suratkar | | Abstract | Full Text | Abstract :Lung cancer remains one of the leading causes of mortality worldwide, reaffirming the need for early detection to shore up its survival rates. This study presents a Streamlit based application that exploits deep learning models for fully automated portable lung cancer detection. The system digests medical imaging data with advanced Convolutional Neural Networks CNNs , ResNet, and InceptionV3, trained on lung cancer datasets available in the public domain. Image processing methods, namely normalization, augmentation, and segmentation, are utilized to boost model performance. The proposed application engraves real time inference, displays and options to export diagnostic results in an interactive interface. The models are evaluated based on accuracy, sensitivity, specificity, and F1 score, aiming to provide them with guaranteed reliability. By merging AI driven diagnostics with a user friendly web platform, this solution improves access for healthcare professionals and researchers. Future work will comprise types of additional cancer detection, cloud based scalability, and improved model precision using heterogeneous datasets concerning AI powered medical diagnoses. Sudhanshu Suratkar "Streamlit Based Lung Cancer Detection using Deep Learning Modules" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81112.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81112/streamlit-based-lung-cancer-detection-using-deep-learning-modules/sudhanshu-suratkar
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| Neural Approaches to Sentiment Driven Recommendation Models | | Author : Riya Sunil Borkar | | Abstract | Full Text | Abstract :In order to give consumers more individualized experiences, this study presents an innovative new technology that blends artificial intelligence with the ability to recognize human emotions. The method seeks to improve emotional well being by identifying emotions in real time and recommending comfort foods. The method is very thorough, linking food preferences to emotional states using data analysis, computer vision, and natural language processing NLP . In order to identify the users prevailing emotion, it analyzes emotions using the Deep Face library and detects faces using the Haar Cascade Classifier. It does this by analyzing facial expressions from a live video feed. For example, the algorithm may propose comforting foods like chocolate if someone looks depressed, and celebration delicacies like cakes if they appear cheerful. A comprehensive collection of comfort foods and the emotions they arouse serves as the foundation for this emotional mapping. To identify faces and emotions, the procedure starts with information from a webcam and analyzes it in real time. To guarantee precise mapping, the NLP component cleans up the data. The recommendation engines capacity to rate comfort meals according to consumers emotional associations makes it stand out and guarantees that the suggestions are pertinent and meaningful. With a high user satisfaction rate and an emotion recognition accuracy of almost 90 , this scalable and lightweight system shows how AI may be used to address emotional demands and enhance human computer interactions. Riya Sunil Borkar "Neural Approaches to Sentiment-Driven Recommendation Models" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81107.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81107/neural-approaches-to-sentimentdriven-recommendation-models/riya-sunil-borkar
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| Vehicle Insurance Fraud Detection | | Author : Shreya Ajay Patil | | Abstract | Full Text | Abstract :The rising number of insurance claims has prompted insurance companies to detect fraudulent claims economically and effectively. This project aims to create a system based on machine learning that predicts insurance fraud from manual input as well as bulk Excel upload. The system uses three deep learning models to undertake three tasks, namely fraud detection, prediction of claim occurrence, and estimation of claim amount.The app is developed on Flask as a web framework and utilizes TensorFlow based models trained on past insurance history. Two input modes are supported 1. Manual Mode Users input four important features age, policy premium, severity of incident, total claim value through a web form.2. Excel Upload Mode Users upload an Excel file with complete records to support batch processing using all features available.For making precise predictions, the data is preprocessed with Label Encoders and Scikit learn scalers, with special handling for unknown or missing labels. The fraud detection model gives a binary classification fraud or not , and the claim model gives a probability of a claim being filed. A regression model approximates the probable claim amount.The system has a user friendly interface for individuals as well as insurance companies facilitating proactive fraud detection and improved risk management. This end to end pipeline showcases the real world application of machine learning in automating and improving decision making within the insurance sector. Shreya Ajay Patil "Vehicle Insurance Fraud Detection" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81110.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81110/vehicle-insurance-fraud-detection/shreya-ajay-patil
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| AI Powered Stress Detection using Machine Learning | | Author : Shruti Bandebuche | | Abstract | Full Text | Abstract :Stress is a growing worry for IT personnel due to their rigorous workloads and constant pressure to meet corporate requirements. A persons general well being, productivity, and mental health can all suffer from prolonged stress. There are promising non invasive techniques for early stress detection thanks to advancements in artificial intelligence AI and machine learning ML . This research presents a deep learning and facial image analysis AI powered system that can detect stress levels in IT workers. Businesses can lessen workplace burnout and enhance employee welfare by implementing the proposed system, which provides real time stress monitoring. Facial picture datasets with both stressed and non stressed expressions are gathered and preprocessed as part of the research. Relevant features are extracted using a variety of image processing approaches, including micro expression analysis, facial landmark identification, and histogram analysis. Convolutional neural networks CNN , support vector machines SVM , and random forests are among the machine learning models that use the retrieved features for categorisation. Hyperparameter tuning and model optimization are employed to improve accuracy and robustness. The proposed system is evaluated using metrics such as accuracy, precision, recall, and F1 score. The results demonstrate a high accuracy rate of 92 in detecting stress levels, with CNN models outperforming other classifiers. Furthermore, the system is integrated into a web based application to provide real time stress monitoring and analysis. According to this study, AI driven stress detection tools have the potential to increase IT workers productivity, lower burnout, and promote workplace wellness. Enhancing the systems real time capabilities, adding more physiological markers, and boosting model generalisation will be the main goals of future research. Shruti Bandebuche "AI-Powered Stress Detection using Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81111.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81111/aipowered-stress-detection-using-machine-learning/shruti-bandebuche
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| Education Resource Planning System ERP | | Author : Tushar K. Bhoyar | | Abstract | Full Text | Abstract :In recent years, the growing complexity of administrative and academic processes in educational institutions has highlighted the need for efficient, integrated management solutions. This paper presents the design, development, and evaluation of an Education Resource Planning ERP System aimed at streamlining operations across academic, financial, and administrative domains. The system is built using a modular architecture to support functions such as student information management, human resources, financial accounting, course scheduling, and examination handling. By leveraging web based technologies and centralized databases, the ERP system enhances data consistency, reduces redundancy, and improves decision making through real time analytics. A case study was conducted at a mid sized university to assess system performance and user satisfaction. The results demonstrate a significant improvement in operational efficiency and stakeholder engagement. The study concludes that a well designed ERP system can not only automate routine tasks but also serve as a strategic tool for educational institutions aiming for digital transformation and improved governance. Tushar K. Bhoyar "Education Resource Planning System (ERP)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81113.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81113/education-resource-planning-system-erp/tushar-k-bhoyar
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| Hire Path | | Author : Miss. Vaishnavi Khiratkar | | Abstract | Full Text | Abstract :A application designed to make the hiring process faster, fairer, and more effective for both employers and job seekers. Hiring today often takes a lot of time and includes challenges like bias and poor matching between candidates and jobs. Hire Path uses technology to solve these problems. It includes tools that can automatically read resumes, match candidates to jobs based on their skills, and even predict how well a person might fit a role. The system also helps employers make better decisions and gives job seekers a smoother experience. We tested this approach through real examples and found that it can reduce the time it takes to hire someone and help companies find better matches for their open positions. This paper also looks at the benefits, potential challenges, and future improvements for this kind of hiring system. Miss. Vaishnavi Khiratkar "Hire Path" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81115.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81115/hire-path/miss-vaishnavi-khiratkar
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| Scholastic AI | | Author : Ushmera Fatema Khan | | Abstract | Full Text | Abstract :Nowadays, for success of online platforms in frenetic digital era, user engagement is utterly paramount. Daily, colleges grapple with plethora of challenges, addressed and responded to by varied sets of queries from students, parents and faculty to varying degrees of urgency. The c conventional chatbot solutions tend to be very reliant on expensive outside APIs which is really a red flag for data security as well as very inflexible. Such reliance severely hampers the ability for the colleges providing highly personalized efficient services specific to their operational needs. With the development of Scholastic AI pretty much from scratch, enhanced data security and cost effectiveness with some level of complete customization were pretty much offered. Scholastic AI utilises a fine tuned local Large Language Model called LLama 3 that performs text query and voice query in real time with high accuracy. Processing data internally with utmost care aligns pretty closely with institutional privacy standards and thus serve as system safeguards of sensitive info locally. Scholastic AI seamlessly integrates with existing college infrastructure, offering an intuitive user interface and minimal dependency on external vendors. It is scalable on the platform, and that means that it can easily be extended down the line, and it turns out to be very durable with time, adapting somehow to its business requirements evolving in time. Nowadays, we have already created the relatively intelligent chatbot systems that can suddenly be quite self reliant in the process, colleges can easily build a sustainable AI framework. Scholastic AI greatly enhances user experience and operational efficiency highly positioned colleges are now squarely in the middle of fast rising stakeholder expectations in a very fast changing digital milieu. The keywords used here are LangChain, ChromaDB, ChatBot, Django, but they all have LLM in the background somehow. Ushmera Fatema Khan "Scholastic AI" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81114.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81114/scholastic-ai/ushmera-fatema-khan
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| CRM for Retail Industry Accounting and Billing System | | Author : Vishnuteja Babbilwar | | Abstract | Full Text | Abstract :The research is targeted towards a comprehensive analysis of integration of Customer Relationship Management CRM systems with billing and accounting routines on a particular level for the retail sector. The primary goal is to comprehensively analyze the different modes in which integrated single systems can potentially contribute to customer satisfaction, operating effectiveness, and effective financial surveillance. The research also discusses a conceptual framework that acts as a model for the effective implementation of CRM systems with billing modules, hence offering beneficial automation tools and information based on data analysis. Vishnuteja Babbilwar "CRM for Retail Industry Accounting and Billing System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81116.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81116/crm-for-retail-industry-accounting-and-billing-system/vishnuteja-babbilwar
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| Social Media and Mental Health | | Author : Vibhor Sunil Parodhi | | Abstract | Full Text | Abstract :In recent years, the rapid proliferation of social media platforms has revolutionized the way people connect, communicate, and share information globally. This digital transformation has had profound implications for mental health, a subject of growing concern. This abstract provides an overview and critical analysis of the relationship between social media and mental health.This review explores the various ways in which social media can affect mental health, both positively and negatively. It examines how excessive use of social media can lead to issues such as social comparison, cyberbullying, and online harassment, which can contribute to anxiety, depression, and feelings of loneliness.Moreover, the addictive nature of social media and its capacity to disrupt sleep patterns are associated with poor mental health outcomes. In conclusion, the impact of social media on mental health is a complex and evolving subject. It is essential for researchers, policymakers, and social media platforms to address both the positive and negative aspects of social media use in promoting mental health. Awareness, education, and responsible use guidelines are vital to harness the potential benefits of social media while mitigating its adverse effects on mental health. Vibhor Sunil Parodhi "Social Media and Mental Health" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81121.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81121/social-media-and-mental-health/vibhor-sunil-parodhi
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| Web Scrapping Based Amazon Data Analytics and Visualization | | Author : Yogesh D Durge | | Abstract | Full Text | Abstract :Large volumes of product data are produced on e commerce sites such as Amazon in the age of digital commerce. This project offers a complete system that uses web scraping methods to retrieve product details from Amazon, then cleans, analyzes, and visualizes the data. The system scrapes key attributes like product titles, prices, ratings, reviews, and availability across multiple categories using Python based tools like Beautiful Soup, Selenium, and pandas.Following data extraction, analytical methods are used to reveal information about product popularity, pricing trends, and customer sentiment. Libraries like Matplotlib, Seaborn, and Plotly are used to power interactive dashboards that visualize these insights and allow for intuitive data exploration. Based on current e commerce trends, the system helps businesses, researchers, and consumers make well informed decisions. By means of automation Yogesh D Durge "Web Scrapping Based Amazon Data Analytics and Visualization" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81118.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81118/web-scrapping-based-amazon-data-analytics-and-visualization/yogesh-d-durge
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| Customer Lifetime Value Prediction for Business | | Author : Rohit Waratkar | | Abstract | Full Text | Abstract :Predicting the client Lifetime Value CLV of each individual client is a crucial statistic in contemporary corporate strategy since it offers information about their long term profitability. Businesses may improve customer relationship management, optimize marketing activities, and more efficiently allocate resources by precisely projecting CLV. This study offers a data driven method for predicting CLV that makes use of demographic information, behavioral markers, and past customer transaction data. The model uses machine learning techniques including decision trees, regression models, and ensemble methods to forecast the net profit attributable to a customers entire future relationship, segmentation, and targeted marketing. The results demonstrate how useful CLV prediction is for promoting customer centric tactics and raising overall company profitability. Rohit Waratkar "Customer Lifetime Value Prediction for Business" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81120.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81120/customer-lifetime-value-prediction-for-business/rohit-waratkar
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| A Full Stack Framework for Temporal Asset Allocation Implementation and Evaluation of BorrowBiz using Spring Boot and Microservices | | Author : Shravani Kharche | | Abstract | Full Text | Abstract :The way people think about ownership has changed over the past few years, moving towards access based consumption. This has led to the rise of rental based business models in many fields. This study introduces BorrowBiz, a full stack rental e commerce platform that lets users rent things instead of buying them outright. The system was made with Java technologies, Spring Boot, and a microservices architecture. It focusses on security, scalability, and modularity. The paper talks about the design method, architectural layers, and technology stack used to build the platform, as well as its functional performance, user experience, and data flow integrity. The platform showed that it was easy to use, managed resources well, and could be used in the real world in a cloud native environment through systematic testing and user feedback analysis. The goal of BorrowBiz is to show that scalable and customizable rental ecosystems which is adaptable across various products and domains such as vehicles, electronics, fashion, and household items. In today’s rapid paced, digitally linked international, the way humans get entry to items is hastily evolving. Ownership is now not the default — rather, renting merchandise for brief term use has turn out to be a smarter, greater flexible opportunity, mainly for urban clients who prioritize convenience, sustainability, and price efficiency. This paper gives BorrowBiz, a full stack web platform built to assist the temporary use of products consisting of motors, electronics, fashion add ons, and household objects. The purpose is to provide users a continuing rental enjoy at the same time as supporting reduce needless consumer waste and lengthy term economic burdens. BorrowBiz is advanced the usage of a cutting edge Java primarily based full stack framework, leveraging Spring Boot, RESTful APIs, and a microservices structure. The layout promotes scalability, modular development, and easier upkeep. The backend handles consumer control, product listings, transaction processing, and secure authentication the use of JWT JSON Web Tokens , at the same time as the frontend grants a responsive and intuitive interface for each customers and administrators. The machine also consists of role based totally access manage, real time inventory tracking, and an admin dashboard to manage product availability and condo approvals. Shravani Kharche "A Full-Stack Framework for Temporal Asset Allocation: Implementation and Evaluation of BorrowBiz using Spring Boot and Microservices" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81119.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81119/a-fullstack-framework-for-temporal-asset-allocation-implementation-and-evaluation-of-borrowbiz-using-spring-boot-and-microservices/shravani-kharche
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| Telemedicine Platform with Video Consultation | | Author : Shyam A Jiddewar | | Abstract | Full Text | Abstract :The growing need for accessible and efficient healthcare has led to the adoption of telemedicine as a vital tool for remote medical services. This project introduces a Telemedicine Platform with Video Consultation, developed using Java and modern web technologies, to facilitate seamless interaction between patients and healthcare providers. The platform enables real time video consultations, allowing patients to receive medical advice, diagnosis, and treatment without the need to visit a healthcare facility physically.By addressing challenges such as limited access to healthcare in remote areas, long wait times, and scheduling inefficiencies, this system offers a user friendly interface for booking appointments, secure video communication, and digital health record management. The solution not only enhances patient convenience but also optimizes the time and resources of medical professionals. This document details the platform’s purpose, technical architecture, features, and problem solving capabilities. The expected outcomes include improved healthcare accessibility, reduced operational burdens on physical clinics, and enhanced patient satisfaction. Overall, the platform represents a significant step forward in digital healthcare delivery. Shyam A Jiddewar "Telemedicine Platform with Video Consultation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81122.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81122/telemedicine-platform-with-video-consultation/shyam-a-jiddewar
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| Utilizing Machine Learning Algorithms for Consumer Behavior Analysis | | Author : Sameer Giradkar | | Abstract | Full Text | Abstract :Consumer behavior analysis is a cornerstone of modern marketing and business strategy. In todays data rich environment, businesses have access to unprecedented data about their customers. This wealth of data presents both challenges and opportunities. Machine learning, a subset of artificial intelligence, has emerged as a powerful tool for businesses to understand, predict, and optimize consumer behavior . This essay explores the application of machine learning algorithms in consumer behavior analysis, delving into the methods, benefits, challenges, and future directions in this dynamic field. By comprehensively examining relevant literature, case studies, and real world examples, this research aims to provide a deep understanding of how machine learning is transforming the landscape of consumer behavior analysis. Sameer Giradkar "Utilizing Machine Learning Algorithms for Consumer Behavior Analysis" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81123.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81123/utilizing-machine-learning-algorithms-for-consumer-behavior-analysis/sameer-giradkar
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| Bitcoin Cryptocurrency Market | | Author : Samruddhi Kene | | Abstract | Full Text | Abstract :Bitcoin, introduced in 2008 by the pseudonymous Satoshi Nakamoto, is a decentralized digital currency operating without a central authority. Its underlying technology, blockchain, ensures secure and transparent transactions. Over the past decade, Bitcoin has evolved from a niche digital asset to a significant component of the global financial ecosystem, influencing various economic sectors and prompting extensive academic and regulatory discussions. The Bitcoin market is characterized by high volatility, influenced by factors such as market demand, investor sentiment, regulatory developments, and macroeconomic indicators. Studies have analyzed Bitcoins price dynamics, revealing patterns and behaviors distinct from traditional financial assets. Additionally, the market microstructure of cryptocurrencies, including Bitcoin, has been systematically reviewed, highlighting unique trading behaviors and structural features that differentiate them from conventional financial markets. Despite its potential for high returns, Bitcoin investment carries significant risks due to its price volatility and regulatory uncertainties. The evolving landscape of Bitcoin continues to attract interest from investors, policymakers, and researchers, underscoring the need for ongoing analysis to understand its implications for the future of digital finance. Samruddhi Kene "Bitcoin Cryptocurrency Market" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81130.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81130/bitcoin-cryptocurrency-market/samruddhi-kene
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| Deepfake and Misinformation Detection using Multimodal Analysis | | Author : Khushboo Bhajbhuje | | Abstract | Full Text | Abstract :Rising deepfakes and false information on social media constitute a major danger to digital security, democracy, and public trust. Conventional text based detection techniques fall short of solving the rising sophistication of altered material including images, video, and sound. By using natural language processing NLP , computer vision, and audio analysis in a multimodal analysis framework, this study aims to detect and categorize deepfake material and connected misinformation. The system exceeds unimodal solutions in accuracy and robustness by combining visual cues e.g., facial inconsistencies , acoustic patterns e.g., voice synthesis artifacts , and textual analysis e.g., fact checking and sentiment . Integrated processing of data from sites like Twitter, Facebook, and YouTube combines deep learning and machine learning models CNNs for image video analysis and transformers for text understanding. Across several datasets, experimental findings show that the suggested model surpasses basic systems in both recall and accuracy. This study emphasizes how crucial multimodal approaches are for preserving information integrity in the digital age. Khushboo Bhajbhuje "Deepfake and Misinformation Detection using Multimodal Analysis" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81138.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81138/deepfake-and-misinformation-detection-using-multimodal-analysis/khushboo-bhajbhuje
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| RTO Governance System | | Author : Prachi R. Deshmukh | | Abstract | Full Text | Abstract :The Regional Transport Office RTO is a critical agency in the governance of vehicular transportation, license issuance, and road safety. This paper presents a comprehensive research and implementation model for a Smart RTO Governance System aimed at increasing transparency, reducing corruption, improving efficiency, and enhancing user experience through digital transformation. The system integrates modules for vehicle registration, driver’s license issuance, tax collection, pollution control compliance, and grievance redressal using web and mobile based platforms. Through a comparative analysis of legacy systems and proposed digital models, we demonstrate significant improvements in service delivery and accountability. Prachi R. Deshmukh "RTO Governance System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81131.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81131/rto-governance-system/prachi-r-deshmukh
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| News Alumni Database A Digital Platform | | Author : Prathmesh S. Dhore | | Abstract | Full Text | Abstract :The News Alumni Database System is a centralized digital platform designed to manage, organize, and facilitate communication among former staff and contributors of news organizations. This system enables the collection and maintenance of alumni records, including contact information, professional achievements, career trajectories, and engagement history. By integrating search functionalities, networking tools, and personalized communication features, the platform fosters long term relationships between the organization and its alumni community.Additionally, it supports the dissemination of organizational news, events, and job opportunities, thereby enhancing professional development and promoting institutional legacy. The system aims to streamline alumni relations, encourage collaboration, and preserve the shared history of media professionals. Prathmesh S. Dhore "News Alumni Database - A Digital Platform" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81133.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81133/news-alumni-database--a-digital-platform/prathmesh-s-dhore
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| Smart Course Time Table Generator Based on Python | | Author : Sonam Gorakh Gupta | | Abstract | Full Text | Abstract :In the educational context, the problem of creating an efficient and conflict free timetable for courses is highly intricate and requires a lot of time. Most methods to resolve scheduling use is manual planning, which often results in conflicts, inefficient resource allocation, and general dissatisfaction from students and faculty. This project aims to develop a Smart Course Time Table Generator by using Python which will automate the scheduling algorithm using different optimization techniques.The system works by automatically taking into account a multitude of constraints such as the availability of faculty members, room sufficiency, course requirements, and even student preferences. It employs generic algorithm construction methods, satisfaction of constraints, as well as genetic algorithms to compute conflict free optimized timetables. The use of Python as the implementation language allows for easy scaling, integration into already existing systems, and policy modification within the institutions.The generated course timetable allows for a reduction in the administrative burden. It also automatically improves resource allocation while guaranteeing unobstructed and effective timetable formation. Additionally, python gui or smart timetable builders greatly optimize the experience for administrators with graphical engagement. Sonam Gorakh Gupta "Smart Course Time Table Generator Based on Python" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81132.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81132/smart-course-time-table-generator-based-on-python/sonam-gorakh-gupta
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| AI in Healthcare Transforming Patient Care with Machine Learning | | Author : Kirti Shukla | | Abstract | Full Text | Abstract :In recent years, the integration of Artificial Intelligence AI into healthcare has revolutionized patient care, offering unprecedented opportunities for improving diagnosis, treatment, and operational efficiency. This paper explores the application of machine learning algorithms in healthcare, focusing on their role in predictive analytics, personalized medicine, and administrative automation. By leveraging large datasets, AI systems can identify patterns and insights that enhance clinical decision making and optimize patient outcomes. This research highlights key advancements, challenges, and future directions in the deployment of AI technologies in healthcare settings. Kirti Shukla "AI in Healthcare: Transforming Patient Care with Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81134.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81134/ai-in-healthcare-transforming-patient-care-with-machine-learning/kirti-shukla
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| Rent E Mart | | Author : Sahil A. Pardhe | | Abstract | Full Text | Abstract :The Rent E Mart project is an innovative online rental platform designed to facilitate seamless rental transactions between product owners and renters. The system enables users to rent a wide variety of items, such as electronics, vehicles, furniture, apparel, and more, on a short term or long term basis. It addresses the growing demand for sustainable and cost effective consumption by promoting the sharing economy.The platform offers a user friendly interface where item owners can list their products with descriptions, images, rental rates, and availability schedules. Renters can browse or search for items, view detailed information, and make secure rental bookings. The system includes features such as user registration, authentication, rating and review systems, payment gateway integration, and real time availability tracking.By digitizing the rental process, Rent E Mart reduces the need for direct negotiations and manual paperwork, ensuring convenience, transparency, and security for both parties. This project has the potential to significantly contribute to resource optimization and environmental conservation by encouraging reuse and reducing the need for ownership. Sahil A. Pardhe "Rent E-Mart" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81136.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81136/rent-emart/sahil-a-pardhe
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| Fake News Detector | | Author : Sairam M. Chintkuntalwar | | Abstract | Full Text | Abstract :The rapid proliferation of misinformation and fake news on digital platforms has emerged as a significant global concern, impacting public opinion, political landscapes, and social harmony. This project presents the design and implementation of a Fake News Detector, a machine learning based system aimed at identifying and classifying news articles as real or fake. The system leverages natural language processing NLP techniques to analyze textual content, extracting features such as word frequency, sentiment, and linguistic patterns.A variety of classification algorithms, including Logistic Regression, Naïve Bayes, and Support Vector Machines, were trained and evaluated on benchmark datasets. The results demonstrate promising accuracy in detecting deceptive content, highlighting the potential of automated tools in combating misinformation. This work contributes to the ongoing efforts in digital media verification and provides a foundation for future enhancements using deep learning and real time detection techniques. Sairam M. Chintkuntalwar "Fake News Detector" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81135.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81135/fake-news-detector/sairam-m-chintkuntalwar
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| Client Server Event Management | | Author : Sanket Arun Bucche | | Abstract | Full Text | Abstract :Traditional event management systems often struggle with issues such as delayed communication, fragmented information flow, and lack of client interactivity. In today’s fast paced digital age, there is a need for dynamic and responsive systems that can cater to the growing demands for real time engagement, seamless coordination, and user friendly features. This research explores the integration of web development into client server architecture for modern event management systems. By implementing features such as real time data updates, interactive dashboards, live notifications, booking management, and client specific modules, the client server model can enhance transparency, streamline communication, and elevate the user experience. This study focuses on how web technologies—using a responsive front end with a robust server side backend—can bridge the gap between event organizers, clients, and participants. Emphasizing customization, scalability, and accessibility, this paper investigates how such a platform can modernize operations for event management firms, reduce manual dependencies, and build long term client trust. Sanket Arun Bucche "Client-Server Event Management" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81148.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81148/clientserver-event-management/sanket-arun-bucche
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| Automated Mango Ripeness Detection using Convolutional Neural Networks | | Author : Vaishnavi Bhivgade | | Abstract | Full Text | Abstract :Keeping quality criteria in the agricultural supply chain depends on mango classification and grading. Conventional manual sorting techniques are sometimes time consuming, inconsistent, and vulnerable to human error, which causes substantial financial loss and quality deterioration. Incorporating picture processing and machine learning approaches, this study offers an automated mango fruit categorization system using Python to improve precision and speed. The suggested system catches real time mango images, extracts important visual elements like color, texture, and form, and classifies them according on ripeness and flaws. Including Convolutional Neural Networks CNNs , machine learning models are taught to perform classification jobs with great accuracy using a labeled dataset. Designed to help farmers, quality control specialists, and distributors, the solution simplifies the grading process, lowers physical labor, and boosts market value. Experimental findings show how the system has the ability to beat conventional approaches in terms of speed, dependability, and uniformity, hence helping to promote more intelligent agricultural methods and improved post harvest management. Vaishnavi Bhivgade "Automated Mango Ripeness Detection using Convolutional Neural Networks" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81137.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81137/automated-mango-ripeness-detection-using-convolutional-neural-networks/vaishnavi-bhivgade
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| Image Extraction Tool | | Author : Akanksha Padmakar Khandare | | Abstract | Full Text | Abstract :This project is a web based application developed using the Flask framework, aimed at streamlining document processing and user management. It provides a secure and intuitive platform where users can register, log in, and efficiently manage their documents. The application features a user friendly interface that simplifies document uploads, organization, and access. With an emphasis on usability and scalability, this system is ideal for environments requiring structured document handling and user authentication. Akanksha Padmakar Khandare "Image Extraction Tool" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81139.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81139/image-extraction-tool/akanksha-padmakar-khandare
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| Virtual Try On for E Commerce | | Author : Ayush Pagarware | | Abstract | Full Text | Abstract :Virtual Try On VTO technology has emerged as a transformative solution in e commerce, addressing long standing issues such as the lack of tactile experience and high product return rates. By using augmented reality AR , computer vision, and artificial intelligence AI , VTO tools enable customers to visualize how clothing, cosmetics, and accessories look on them before purchasing. This paper explores the technological landscape, real world applications, market implications, consumer psychology, challenges, and future directions of VTO in online retail. As consumer expectations evolve and digital innovation accelerates, VTO stands at the forefront of redefining personalized online shopping. Ayush Pagarware "Virtual Try-On for E-Commerce" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81144.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81144/virtual-tryon-for-ecommerce/ayush-pagarware
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| Aviath AI An Intelligent Virtual Assistant for Enhanced User Interaction | | Author : Chinmay Waghmare | | Abstract | Full Text | Abstract :This paper introduces Aviath AI, a cutting edge virtual assistant that combines state of the art natural language processing NLP , federated learning, and context aware dialogue management. Aviath AI is designed to provide a more precise, efficient, and privacy respecting alternative to current virtual assistants. The system was tested against several criteria, such as task completion accuracy, response time, resource usage, and user satisfaction. Outcomes indicate that Aviath AI surpasses industry competitors in task correctness, registering a 92 success rate for simple tasks and 75 for intricate, multi turn interactions. Data privacy is maintained by the federated learning process of the system, which upholds high levels of user confidence.Although certain difficulties arise in the case of vague queries and resource usage in intensive tasks, Aviath AI reflects enormous potential in boosting virtual assistant technology. The work concludes with future prospectives for improvements on query handling and performance. Chinmay Waghmare "Aviath AI: An Intelligent Virtual Assistant for Enhanced User Interaction" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81145.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81145/aviath-ai-an-intelligent-virtual-assistant-for-enhanced-user-interaction/chinmay-waghmare
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| The Problem of Content as an Important Methodological Category of Teaching | | Author : Bakirova Khilolakhon Botiraliyevna | Abdurahmonov Yo’ldosh Eshbo’riyevich | | Abstract | Full Text | Abstract :The article deals with the content of foreign language as an important methodological category of teaching in higher educational establishments. Here different approaches of the methodologists about the problem of foreign language teaching goals and objectives of teaching are also discussed. Bakirova Khilolakhon Botiraliyevna | Abdurahmonov Yo’ldosh Eshbo’riyevich "The Problem of Content as an Important Methodological Category of Teaching" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements in Multidisciplinary Research and Analysis , December 2023, URL: https://www.ijtsrd.com/papers/ijtsrd61253.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/61253/the-problem-of-content-as-an-important-methodological-category-of-teaching/bakirova-khilolakhon-botiraliyevna
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| AI Powered OSINT Open Source Intelligence Reconnaissance Tool | | Author : Yunitkumar Patle | | Abstract | Full Text | Abstract :In today’s interconnected digital landscape, Open Source Intelligence OSINT plays a vital role in cybersecurity, law enforcement, and investigative domains. This research presents an AI powered OSINT Reconnaissance Tool that automates and enhances traditional intelligence gathering processes. By integrating technologies like web scraping, natural language processing NLP , machine learning ML , and computer vision, the tool enables efficient extraction, analysis, and visualization of publicly available data from multiple sources. The system comprises several modules, including web scraping engines, named entity recognition NER , image analysis, threat assessment, and automated reporting. With real time processing and dashboard based threat visualization, it reduces manual overhead and ensures actionable insights for decision makers. The project not only showcases a functional prototype but also highlights the evolution of AI in OSINT workflows and its growing significance for national security, cyber forensics, and ethical hacking. Open Source Intelligence OSINT has become a cornerstone of modern cybersecurity, law enforcement, and corporate investigations. The integration of Artificial Intelligence AI into OSINT tools has revolutionized the field, enabling faster, more accurate, and scalable intelligence gathering. This research paper explores the evolution, methodologies, applications, challenges, and future trends of AI powered OSINT reconnaissance tools. Yunitkumar Patle "AI Powered OSINT (Open-Source Intelligence) Reconnaissance Tool" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81146.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81146/ai-powered-osint-opensource-intelligence-reconnaissance-tool/yunitkumar-patle
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| Exploring Trends A Data Analyst’s Portfolio | | Author : Sujata Singh | | Abstract | Full Text | Abstract :In todays data driven world, the ability to extract actionable insights from complex datasets is paramount. The Exploring Trends project showcases a comprehensive analysis of specific dataset , utilizing advanced data wrangling, statistical modeling, and visualization techniques to uncover underlying patterns and trends. Sujata Singh "Exploring Trends : A Data Analyst’s Portfolio" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81147.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81147/exploring-trends--a-data-analyst’s-portfolio/sujata-singh
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| BeatPods Pro Smart Audio Wearable System | | Author : Dipanshu Sandeep Shinde | | Abstract | Full Text | Abstract :In an era where convenience and connectivity are paramount, smart audio wearables are revolutionizing personal entertainment. BeatPods Pro is a cutting edge wireless earbud system that blends audio excellence with smart controls, ergonomic design, and efficient power management. This paper presents the development process, architecture, and feature set of BeatPods Pro. Through a robust system design, intuitive user interface, and Bluetooth 5.1 support, this platform enhances the wireless audio experience. It also incorporates user interaction through touch gestures and explores the integration of health monitoring features in future iterations. Dipanshu Sandeep Shinde "BeatPods Pro (Smart Audio Wearable System)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81150.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81150/beatpods-pro-smart-audio-wearable-system/dipanshu-sandeep-shinde
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| Concept of Discipline from Teachers Perspective | | Author : Dr. Lata Sharma | | Abstract | Full Text | Abstract : Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements in Multidisciplinary Research and Analysis , December 2023, URL: https://www.ijtsrd.com/papers/ijtsrd61238.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/sanskrit/61238/concept-of-discipline-from-teachers-perspective/dr-lata-sharma
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| Topper Test | | Author : Akash Bele | | Abstract | Full Text | Abstract :Topper test website enables students to practice mock tests, quiz practice and access other study materials. It is developed on PHP, one of the commonly used server side scripting languages, so a nice and user friendly interface in the site. Akash Bele "Topper Test" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81149.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81149/topper-test/akash-bele
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| E Library | | Author : Nehal Rameshwar Gujwar | | Abstract | Full Text | Abstract :Traditional library systems often suffer from limited accessibility, manual processes, and inefficient information retrieval. In today’s digital era, there is a growing demand for intelligent, scalable, and user friendly library platforms that provide real time access to educational resources. This research focuses on the development and implementation of an E Library system based on web technologies and client server architecture. It integrates features such as smart search, AI powered recommendations, real time book availability, online reading interfaces, secure login, and admin controlled book management. The study emphasizes how responsive web development and a robust backend infrastructure can modernize educational content access, reduce physical dependencies, and enhance the user experience for students, teachers, and administrators. Customization, automation, and accessibility are the key focus areas in transforming conventional libraries into smart digital hubs. Nehal Rameshwar Gujwar "E-Library" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81152.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81152/elibrary/nehal-rameshwar-gujwar
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| A Decentralized Crowdfunding Campaign Management System using Ethereum Smart Contracts | | Author : Aditya Vinod Mankar | | Abstract | Full Text | Abstract :This paper presents the design and implementation of a decentralized crowdfunding platform built on the Ethereum blockchain using smart contract technology. Traditional crowdfunding platforms, while widely used, often face challenges such as high fees, centralized control, limited accessibility across borders, and a lack of transparency that can undermine backer trust. To address these limitations, our proposed platform leverages the inherent advantages of blockchain technology to create a secure, cost effective, and globally accessible environment for raising funds.At the core of the platform are Ethereum smart contracts, which enable fully automated management of crowdfunding campaigns without the need for intermediaries. These smart contracts encode the campaign logic, including fund collection, goal tracking, and disbursement conditions, ensuring that funds are only released when predefined milestones or goals are met. This automation not only reduces operational costs but also minimizes the risk of fraud and censorship, thereby enhancing user confidence.The use of Ethereums decentralized ledger guarantees transparency and immutability of all transactions, allowing contributors to independently verify the flow of funds and the status of campaigns in real time. This transparency is critical to fostering trust among participants, as all financial interactions are permanently recorded and publicly accessible on the blockchain.To provide an intuitive and user friendly experience, the platform integrates a modern web technology stack, including React.js for the frontend interface and Web3.js to facilitate seamless interaction between the web application and the Ethereum network. This combination ensures that users, whether project creators or backers can easily create campaigns, contribute funds, monitor progress, and receive updates without requiring deep technical knowledge of blockchain.Furthermore, the platform supports multi currency contributions through integration with ERC 20 tokens and Ethereum’s native cryptocurrency, ETH, allowing for greater flexibility and inclusivity. The smart contract architecture also implements safeguards such as refund mechanisms if funding goals are not met within a specified timeframe, thus protecting contributors’ investments.Overall, this decentralized crowdfunding platform aims to democratize fundraising by eliminating central authorities, reducing costs, and enhancing trust through transparency and automation. By leveraging blockchain’s unique properties and modern web technologies, it seeks to encourage wider participation in crowdfunding initiatives globally, empowering innovators and supporters alike. Aditya Vinod Mankar "A Decentralized Crowdfunding Campaign Management System using Ethereum Smart Contracts" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81151.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81151/a-decentralized-crowdfunding-campaign-management-system-using-ethereum-smart-contracts/aditya-vinod-mankar
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| The Smart Cloud Kitchen Network | | Author : Yash Chandekar | | Abstract | Full Text | Abstract :The rapid evolution of the food delivery ecosystem, fueled by technological advancements and shifting consumer behavior, has given rise to the concept of smart cloud kitchens—delivery only kitchens that operate without traditional dine in facilities. This research paper explores the architecture, operations, and scalability of smart cloud kitchen networks, with a particular focus on their integration of Internet of Things IoT , Artificial Intelligence AI , and data analytics. The study examines how these technologies optimize order processing, inventory management, delivery logistics, and customer experience. Additionally, the paper evaluates the economic and environmental impact of this model, comparing it with traditional restaurant businesses. Through case studies and data analysis, the research highlights the opportunities and challenges in adopting smart cloud kitchen networks, offering insights into their role in the future of urban food distribution and smart city infrastructure. Yash Chandekar "The Smart Cloud Kitchen Network" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81153.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81153/the-smart-cloud-kitchen-network/yash-chandekar
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| Leveraging Data Analytic for CRM Optimization | | Author : Mohit Bagde | | Abstract | Full Text | Abstract :In today’s highly competitive and customer driven market, the ability to harness and interpret customer data is crucial for business success. This paper explores how data analytics can be effectively integrated into Customer Relationship Management CRM systems to enhance customer engagement, optimize marketing strategies, and drive business growth. By applying techniques such as customer segmentation, predictive modeling, and behavioral analytics, organizations can derive actionable insights that support personalized marketing and improved customer retention. The research draws from relevant literature, real world case examples, and data driven models to evaluate the effectiveness of analytical CRM practices. The results highlight how leveraging customer data not only improves decision making but also fosters long term customer relationships and organizational profitability. The paper concludes by outlining key challenges and offering recommendations for implementing data driven CRM strategies in business environments. Mohit Bagde "Leveraging Data Analytic for CRM Optimization" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81156.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81156/leveraging-data-analytic-for-crm-optimization/mohit-bagde
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| Housez | | Author : Vaishnavi Bhutekekar | | Abstract | Full Text | Abstract :We propose to implement a house price prediction model of Bangalore, India. Its a Machine Learning model which integrates Data Science and Web Development. We have deployed the ml model instance on Flask andhosted on Render. Housing prices fluctuate on a daily basis and are sometimes exaggerated rather than based on worth. The major focus of this project is on predicting home prices using genuine factors. Here, we intend to base an evaluation on every basic criterion that is taken into account when establishing the pricing. The client side is made using React.js and connected to ml model using axios andhence a full stack application is created. Vaishnavi Bhutekekar "Housez" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81154.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81154/housez/vaishnavi-bhutekekar
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| The Role of Audio Visual Materials in the Development of Oral Speech Competence of Students | | Author : Gulyamova Nozima Xodjimurod qizi | | Abstract | Full Text | Abstract :The purpose of the work is to identify the best conditions for teaching students oral speech, revealing their creative abilities based on the audiovisual materials. In accordance with the set goal, we are solving the problem of filling foreign language classes with professional knowledge, and are also looking for ways to intensify the search work of students when using an effective teaching method. Gulyamova Nozima Xodjimurod qizi "The Role of Audio-Visual Materials in the Development of Oral Speech Competence of Students" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements of Emerging Trends in Multidisciplinary Analysis and Research , June 2024, URL: https://www.ijtsrd.com/papers/ijtsrd67056.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/67056/the-role-of-audiovisual-materials-in-the-development-of-oral-speech-competence-of-students/gulyamova-nozima-xodjimurod-qizi
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| The Role of Advanced Planning and Scheduling APS Software in Manufacturing and Supply Chain Management | | Author : Suhag Patle | | Abstract | Full Text | Abstract :Advanced Planning and Scheduling APS software has emerged as a cornerstone in optimizing manufacturing and supply chain operations. This thesis examines the architecture, benefits, and applications of APS software in the context of modern industry requirements. By leveraging advanced algorithms and integration capabilities, APS enhances operational efficiency, reduces lead times, and improves decision making processes. The study provides a comprehensive overview, addressing challenges and future trends in the adoption of APS solutions. Suhag Patle "The Role of Advanced Planning and Scheduling (APS) Software in Manufacturing and Supply Chain Management" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81155.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81155/the-role-of-advanced-planning-and-scheduling-aps-software-in-manufacturing-and-supply-chain-management/suhag-patle
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| Speaking as a Type of Speech Activity | | Author : Tursunhodjayev Jahongir Javdatovich | | Abstract | Full Text | Abstract :The article considers speaking as a type of speech activity. It analyzes the theoretical basis of teaching speaking a foreign language. Speaking as a type of speech activity primarily relies on language as a means of communication. Language ensures communication between those communicating because it is understood by both the one who communicates information, encoding it in the meanings of words selected for this purpose, and the one who receives this information, decoding it, i.e. deciphering these meanings and changing their behavior based on this information. Tursunhodjayev Jahongir Javdatovich "Speaking as a Type of Speech Activity" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements of Emerging Trends in Multidisciplinary Analysis and Research , June 2024, URL: https://www.ijtsrd.com/papers/ijtsrd66050.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/66050/speaking-as-a-type-of-speech-activity/tursunhodjayev-jahongir-javdatovich
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| Metaphorical Elements in Dantes “Divine Comedy” | | Author : Ugiloy Eshpulatova | | Abstract | Full Text | Abstract :Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements of Emerging Trends in Multidisciplinary Analysis and Research , June 2024, URL: https://www.ijtsrd.com/papers/ijtsrd67165.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/67165/metaphorical-elements-in-dantes-“divine-comedy”/ugiloy-eshpulatova
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| Real Time Signature Authentication | | Author : Mayur Onkar | | Abstract | Full Text | Abstract :The increasing need for secure identity verification, biometric authentication methods have gained prominence. Among them, handwritten signature authentication remains a widely accepted and legally recognized method. This paper presents a real time signature authentication system utilizing deep learning techniques for accurate and efficient verification. The system captures dynamic features of a signature, such as pressure, speed, and stroke order, and verifies it against a stored template using a Convolutional Neural Network CNN and Long Short Term Memory LSTM based model. The proposed system achieves a high accuracy on benchmark datasets and is deployable on lightweight edge devices, ensuring scalability and real time performance. Mayur Onkar "Real - Time Signature Authentication" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81157.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81157/real--time-signature-authentication/mayur-onkar
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| Clinical and Morphological Features of Vitamin D in the Formation of Anti Infectious Immunity | | Author : Xalimova Yulduz Salokhiddinovna | | Abstract | Full Text | Abstract :The review article provides up to date data on the immunotropic and anti infectious effects of vitamin D, the role of vitamin D deficiency in the pathogenesis of certain infections, and target levels of 25 OH D sufficient to prevent and reduce the severity of infectious diseases of various etiologies. The assessment of the availability of laboratory diagnostics of vitamin D deficiency and deficiency in the conditions of the Central Asian megalopolis was carried out, the authors opinion on the optimal methods for determining the status of vitamin D for a practitioner was presented. Xalimova Yulduz Salokhiddinovna "Clinical and Morphological Features of Vitamin D in the Formation of Anti-Infectious Immunity" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements in Multidisciplinary Research and Analysis , December 2023, URL: https://www.ijtsrd.com/papers/ijtsrd61248.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/61248/clinical-and-morphological-features-of-vitamin-d-in-the-formation-of-antiinfectious-immunity/xalimova-yulduz-salokhiddinovna
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| Tuned Gift | | Author : Hardik Yadav | | Abstract | Full Text | Abstract :The market for personalized gifts is expanding quickly due to growing customer demand for sentimental, personalized goods that express personal feelings. An interactive and user focused interface on the new e commerce platform TunedGift allows customers to design and buy personalized presents. The technology underpinnings, market positioning, and user experience design of TunedGift are examined in this research study, emphasizing the companys contribution to the digital personalization of conventional gifting. The study assesses customization workflows, backend integration, and user engagement tactics that facilitate personalization. It also contrasts TunedGift with other major participants in the Indian and international marketplaces for personalized gifts. The study finds patterns in user behaviour, important success criteria, and the effect of personalization on customer satisfaction through qualitative analysis and user input. Hardik Yadav "Tuned Gift" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd97176.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/97176/tuned-gift/hardik-yadav
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| Intellero Insurance Verification Software | | Author : Shadab Ali | | Abstract | Full Text | Abstract :The insurance sector plays a vital role in offering financial protection and peace of mind to individuals and organizations. As technology evolves, so must the processes behind insurance operations. One of the key areas of improvement is insurance verification—a critical process to confirm the validity of insurance policies and the authenticity of the data submitted by policyholders. Traditional insurance verification methods rely heavily on manual paperwork, human verification, and delayed communication. Shadab Ali "Intellero Insurance Verification Software" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd97178.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/97178/intellero-insurance-verification-software/shadab-ali
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| Apex The Design and Development of Construction and Renovation | | Author : Vrushikesh Sudhir Dive | | Abstract | Full Text | Abstract :Apex Construction and Renovation Company is a leading provider of construction and renovation services, specializing in residential, commercial, and industrial projects. With a dedicated team of skilled professionals and a commitment to quality craftsmanship, Apex delivers superior results to clients across various sectors. The companys comprehensive range of services includes project management, design consultation, remodeling, renovation, and new construction. By leveraging innovative techniques and utilizing top quality materials, Apex ensures projects are completed on time, within budget, and to the highest standards of excellence. With a focus on customer satisfaction and attention to detail, Apex Construction and Renovation Company continues to be a trusted partner for all construction and renovation needs. Construction and renovation projects are integral components of modern infrastructure development and urban renewal efforts. This research paper explores the diverse facets of construction and renovation, aiming to elucidate their significance, challenges, and innovative solutions. Through an extensive literature review and case studies, this paper examines the evolving landscape of construction and renovation, encompassing aspects such as project management, architectural design, sustainable practices, and technological advancements. Vrushikesh Sudhir Dive "Apex - The Design & Development of Construction & Renovation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd97177.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/97177/apex--the-design-and-development-of-construction-and-renovation/vrushikesh-sudhir-dive
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| Infravigil Scalability Challenges in Large scale Infrastructure Monitoring | | Author : Saniya Moholkar | | Abstract | Full Text | Abstract :InfraVigil is a proactive IT infrastructure monitoring solution leveraging Nagios and NRPE on Rocky Linux. By implementing real time monitoring and alerting mechanisms, InfraVigil empowers organizations to maintain high system availability and performance while minimizing downtime and operational disruptions. As modern IT infrastructures continue to grow in complexity and scale, traditional monitoring approaches face significant challenges in keeping pace with the expanding volume of data and the diversity of systems to be observed. This abstract explores the key scalability issues encountered in large scale infrastructure monitoring, including data ingestion bottlenecks, storage limitations, and processing overhead. We discuss the impact of these challenges on system performance, reliability, and the ability to derive actionable insights from monitoring data. The abstract also highlights emerging strategies and technologies aimed at addressing these scalability concerns, such as distributed monitoring architectures, adaptive sampling techniques, and machine learning driven anomaly detection. By examining both the obstacles and potential solutions in large scale infrastructure monitoring, this work aims to provide a comprehensive overview of the current landscape and future directions in this critical area of IT operations. Saniya Moholkar "Infravigil: Scalability Challenges in Large-scale Infrastructure Monitoring" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd97179.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/97179/infravigil-scalability-challenges-in-largescale-infrastructure-monitoring/saniya-moholkar
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| Restin Mattresses Pvt. Ltd | | Author : Astha D. Yadav | | Abstract | Full Text | Abstract :Restin mattresses are designed to enhance sleep quality through advanced ergonomic support and premium materials. They incorporate memory foam, pocket springs, and cooling technologies to ensure optimal comfort and spinal alignment. Engineered for durability, Restin mattresses cater to diverse sleep preferences and body types. The brand emphasizes eco friendly production and hypoallergenic components for healthier living. As a result, Restin has gained popularity among consumers seeking restful, rejuvenating sleep. Restin mattresses are crafted to deliver superior sleep quality through innovative design and material science. Blending advanced memory foam, individually wrapped pocket springs, and cooling gel layers, these mattresses provide optimal support, pressure relief, and temperature regulation. Each model is engineered to promote spinal alignment and minimize motion transfer, enhancing sleep comfort for individuals and couples alike. Restin emphasizes eco conscious manufacturing, using sustainably sourced and hypoallergenic materials that are safe for both users and the environment. The brand also incorporates zoned support systems tailored to various body types and sleep positions. Astha D. Yadav "Restin Mattresses Pvt. Ltd" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects , March 2025, URL: https://www.ijtsrd.com/papers/ijtsrd97180.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/97180/restin-mattresses-pvt-ltd/astha-d-yadav
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| The Impact of Teacher Collaboration in Improving Student Outcomes | | Author : Rskhulova Dilafruz Abdusobir qizi | Zayniddinova Kamola | Abdillajonov Jasur | | Abstract | Full Text | Abstract :This paper delves into the influence of teacher teamwork on enhancing student results. It discusses the theoretical and practical elements of working together in education and points out how such teamwork can positively affect student success. Working together, teachers engage in joint planning, sharing of materials, and feedback from peers, which improves teaching methods, promotes professional growth, and leads to a better educational experience for students. The paper looks into different types of teamwork, including co teaching, professional learning groups, and interdisciplinary projects, and highlights the need for a supportive school environment for effective teamwork. Rskhulova Dilafruz Abdusobir qizi | Zayniddinova Kamola | Abdillajonov Jasur "The Impact of Teacher Collaboration in Improving Student Outcomes" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements of Emerging Trends in Multidisciplinary Analysis and Research , June 2024, URL: https://www.ijtsrd.com/papers/ijtsrd66049.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/66049/the-impact-of-teacher-collaboration-in-improving-student-outcomes/rskhulova-dilafruz-abdusobir-qizi
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| Studying the Causes of the Relationship between Type 2 Diabetes and Obesity | | Author : Ergasheva Gulshan Tokhirovna | | Abstract | Full Text | Abstract :Obesity and type 2 diabetes are global problems of the 21st century, and their prevalence is growing at an alarming rate. According to the WHO, the number of people with obesity in the last 40 years has tripled in 2016 and accounted for about 13 of the elderly population on the planet 11 of men and 15 of women and 39 of the elderly and adults are overweight men 39 and women 40 . According to experts, by 2030, 38 of the worlds elderly population will be overweight and 20 will be obese. The high prevalence of type 2 diabetes is directly related to obesity, with approximately 90 of patients being overweight or obese. Ergasheva Gulshan Tokhirovna "Studying the Causes of the Relationship between Type 2 Diabetes and Obesity" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements in Multidisciplinary Research and Analysis , December 2023, URL: https://www.ijtsrd.com/papers/ijtsrd61249.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/61249/studying-the-causes-of-the-relationship-between-type-2-diabetes-and-obesity/ergasheva-gulshan-tokhirovna
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| Theoretical Foundations of the Development of Oral Speech Skills of Students | | Author : Qurbonova Ruxsora Ergashevna | | Abstract | Full Text | Abstract :This article considers the ways of developing oral speech competence, its types and forms of speech and their paths of development in the process of teaching a foreign language. Speech competence is knowledge that has already turned into skills regarding any specific activity, and this knowledge, skills in any activity have an integral component, and requirement of speech training, in our case, we are considering a foreign language, namely English. As a rule, speech training includes linguistic, communicative and methodological components. Qurbonova Ruxsora Ergashevna "Theoretical Foundations of the Development of Oral Speech Skills of Students" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements of Emerging Trends in Multidisciplinary Analysis and Research , June 2024, URL: https://www.ijtsrd.com/papers/ijtsrd67057.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/67057/theoretical-foundations-of-the-development-of-oral-speech-skills-of-students/qurbonova-ruxsora-ergashevna
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| Clinical and Diagnostic Criteria for the Occurrence of Cracks and Fractures of Teeth | | Author : Khayitova Mokhinur Dzhuraevna | | Abstract | Full Text | Abstract :One of the most difficult cases that a dentist may encounter is the detection of a root crack, which may present difficulties in diagnosis and further treatment. There are several clinical signs on the basis of which a clinician may suspect this type of pathology. Khayitova Mokhinur Dzhuraevna "Clinical and Diagnostic Criteria for the Occurrence of Cracks and Fractures of Teeth" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements in Multidisciplinary Research and Analysis , December 2023, URL: https://www.ijtsrd.com/papers/ijtsrd61250.pdf Paper URL: https://www.ijtsrd.com/medicine/other/61250/clinical-and-diagnostic-criteria-for-the-occurrence-of-cracks-and-fractures-of-teeth/khayitova-mokhinur-dzhuraevna
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| Influence of Diffusion Diseases of the Liver on the Current and Forecast of Obstructive Jaundice | | Author : Hamroyev Kh. N. | | Abstract | Full Text | Abstract :In article options of a course of the obstructive jaundice proceeding as with the accompanying diffusion diseases of a liver are considered and it is isolated. Are analyzed clinical and datas of laboratory and an assessment is given to the revealed shifts. It was revealed, that existence of the accompanying diffusion damage of a liver is the predictive adverse factor, increasing the frequency of such complications, as a hemorrhagic syndrome, a cholangitis, a liver failure and bringing to higher lethality. Hamroyev Kh. N. "Influence of Diffusion Diseases of the Liver on the Current and Forecast of Obstructive Jaundice" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements in Multidisciplinary Research and Analysis , December 2023, URL: https://www.ijtsrd.com/papers/ijtsrd61252.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/61252/influence-of-diffusion-diseases-of-the-liver-on-the-current-and-forecast-of-obstructive-jaundice/hamroyev-kh-n
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| Morphological Features of Tissues of the Oral Cavity Organs in the Use of Non Removable Orthopedic Structures | | Author : Kuzieva Madina Abdusalimovna | | Abstract | Full Text | Abstract :The article discusses the influence of non removable orthopedic structures on the condition of oral tissues. The issues of modern methods of prosthetics based on implants are highlighted. The analysis of the most common errors and complications in prosthetics using fixed structures is carried out. Kuzieva Madina Abdusalimovna "Morphological Features of Tissues of the Oral Cavity Organs in the Use of Non-Removable Orthopedic Structures" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements in Multidisciplinary Research and Analysis , December 2023, URL: https://www.ijtsrd.com/papers/ijtsrd61251.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/61251/morphological-features-of-tissues-of-the-oral-cavity-organs-in-the-use-of-nonremovable-orthopedic-structures/kuzieva-madina-abdusalimovna
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| Forming a General Cultural Outlook for Future Foreign Language Teachers | | Author : Sadullayeva Dilbar | Sultonova Nigora | | Abstract | Full Text | Abstract :In this article, information about the formation of a general cultural outlook of teachers, the changes that the teacher should implement in his students, the criteria for the formation of the world view, the main components of various models of general pedagogical knowledge, the pedagogical and psychological components of the teachers culture, the methodology of the formation of the spiritual and moral culture of students is highlighted. Sadullayeva Dilbar | Sultonova Nigora "Forming a General Cultural Outlook for Future Foreign Language Teachers" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements of Emerging Trends in Multidisciplinary Analysis and Research , June 2024, URL: https://www.ijtsrd.com/papers/ijtsrd66051.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/66051/forming-a-general-cultural-outlook-for-future-foreign-language-teachers/sadullayeva-dilbar
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| Large Language Models for Machine Translation in the Example of Uzbek English | | Author : Khonkulova Nilufar Ravshanovna | | Abstract | Full Text | Abstract :The article consider about the language models for machine translation in the example of Uzbek English. Because of the emergence of a large number of scientific and technical documents and the need for their prompt translation into other languages. There are described the principles of operation, the main types of machine translation systems, studied the features of linguistic means of scientific style, found out which of the linguistic means remain in the text after its translation and compared the text translated by a machine and a professional translator. Khonkulova Nilufar Ravshanovna "Large Language Models for Machine Translation in the Example of Uzbek-English" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements in Multidisciplinary Research and Analysis , December 2023, URL: https://www.ijtsrd.com/papers/ijtsrd61254.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/61254/large-language-models-for-machine-translation-in-the-example-of-uzbekenglish/khonkulova-nilufar-ravshanovna
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| Cognitive Linguistics as One of the Most Modern Directions of Linguistic Research | | Author : Jakbarov Musoxon Pulotovich | | Abstract | Full Text | Abstract :The article discusses the basic principles and characteristics of cognitive linguistics. The article examines cognitive linguistics as one of the most modern areas of linguistic research. The article explores the current state of cognitive linguistics and its prospects. Jakbarov Musoxon Pulotovich "Cognitive Linguistics as One of the Most Modern Directions of Linguistic Research" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements of Emerging Trends in Multidisciplinary Analysis and Research , June 2024, URL: https://www.ijtsrd.com/papers/ijtsrd69400.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/69400/cognitive-linguistics-as-one-of-the-most-modern-directions-of-linguistic-research/jakbarov-musoxon-pulotovich
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| Use of Hindi on Computer An Analytical Study | | Author : Dr. Rajpal | | Abstract | Full Text | Abstract :Computers and the Internet have revolutionized the world over the years. Today, no language can remain connected to the people by staying away from computers and other computer like devices . In the early period of development of computers, very little attention was paid to the use of computers in other languages of the world except English, due to which a misconception spread among the common people that computers could not work in any other language except English. Dr. Rajpal "Use of Hindi on Computer: An Analytical Study" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements in Multidisciplinary Research and Analysis , December 2023, URL: https://www.ijtsrd.com/papers/ijtsrd61313.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/hindi/61313/use-of-hindi-on-computer-an-analytical-study/dr-rajpal
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| The Improvement of B2 Level Students Strategic Competence in English Language Teaching through Problem Based Technology | | Author : Ismailova Marifat Bakhrombek qizi | | Abstract | Full Text | Abstract :Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements of Emerging Trends in Multidisciplinary Analysis and Research , June 2024, URL: https://www.ijtsrd.com/papers/ijtsrd68327.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/68327/the-improvement-of-b2-level-students-strategic-competence-in-english-language-teaching-through-problembased-technology/ismailova-marifat-bakhrombek-qizi
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| Cognitive Linguistics as One of the Most Modern Directions of Linguistic Research | | Author : Jakbarov Musoxon Pulotovich | | Abstract | Full Text | Abstract :The article discusses the basic principles and characteristics of cognitive linguistics. The article examines cognitive linguistics as one of the most modern areas of linguistic research. The article explores the current state of cognitive linguistics and its prospects. Jakbarov Musoxon Pulotovich "Cognitive Linguistics as One of the Most Modern Directions of Linguistic Research" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements of Emerging Trends in Multidisciplinary Analysis and Research , June 2024, URL: https://www.ijtsrd.com/papers/ijtsrd69400.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/69400/cognitive-linguistics-as-one-of-the-most-modern-directions-of-linguistic-research/jakbarov-musoxon-pulotovich
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| Electoral Dynamics in India Voters in the 21st Century In Depth Analysis of Behavior and Party Strategies | | Author : Savita Kumari | | Abstract | Full Text | Abstract :This paper analyzes the broad changes that have taken place in Indian electoral politics in the 21st century, with special mention of voter behaviour, electoral issues and strategies of political parties. Over the past few decades, urbanization, rising levels of education, and technological advancements in India have influenced voters preferences. Savita Kumari "Electoral Dynamics in India: Voters in the 21st Century In-Depth Analysis of Behavior and Party Strategies" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements of Emerging Trends in Multidisciplinary Analysis and Research , June 2024, URL: https://www.ijtsrd.com/papers/ijtsrd70470.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/political-science/70470/electoral-dynamics-in-india-voters-in-the-21st-century-indepth-analysis-of-behavior-and-party-strategies/savita-kumari
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| The Role of Editing Tools and ICT in Teaching Future Translators | | Author : Muminova Durdonakhon Shukhratovna | | Abstract | Full Text | Abstract :The article considers about the problems of using information and communication technologies in classes for training translators of higher educational institutions. It says the use of information and communication technologies makes it possible to optimize translation training, increase student motivation, and diversify the forms and types of activities in practical classes. Muminova Durdonakhon Shukhratovna "The Role of Editing Tools and ICT in Teaching Future Translators" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements of Emerging Trends in Multidisciplinary Analysis and Research , June 2024, URL: https://www.ijtsrd.com/papers/ijtsrd69408.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/69408/the-role-of-editing-tools-and-ict-in-teaching-future-translators/muminova-durdonakhon-shukhratovna
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| A Modern Approach to Teaching Reading in English | | Author : Ibrokhimova Lobar Is’hakovna | | Abstract | Full Text | Abstract :The article discusses teaching reading in an English lesson. New approaches to organizing the process of teaching reading in a foreign language at a university are analyzed. Methods of teaching reading and some methods of teaching reading, a new approach to teaching reading in English lessons. Ibrokhimova Lobar Is’hakovna "A Modern Approach to Teaching Reading in English" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancing Multidisciplinary Research and Analysis - Exploring Innovations , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64706.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/64706/a-modern-approach-to-teaching-reading-in-english/ibrokhimova-lobar-is’hakovna
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| The Significance of Proverbs and Sayings in Enhancing Pragmatic Competence | | Author : Inogamova Nafisa Abdugapparovna | | Abstract | Full Text | Abstract :This study explores the role of proverbs and sayings in enhancing pragmatic competence among English language learners. Pragmatic competence, the ability to use language effectively in context, is crucial for achieving communicative proficiency. Proverbs and sayings, with their rich cultural and contextual implications, provide an effective means of teaching pragmatics. This paper examines the integration of these linguistic elements into language instruction and their impact on learners pragmatic skills. Through a review of existing literature and empirical evidence, we argue that incorporating proverbs and sayings into language curricula can significantly improve learners pragmatic competence, fostering better understanding and usage of English in diverse communicative situations. Inogamova Nafisa Abdugapparovna "The Significance of Proverbs and Sayings in Enhancing Pragmatic Competence" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements of Emerging Trends in Multidisciplinary Analysis and Research , June 2024, URL: https://www.ijtsrd.com/papers/ijtsrd70466.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/70466/the-significance-of-proverbs-and-sayings-in-enhancing-pragmatic-competence/inogamova-nafisa-abdugapparovna
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| About Some Features of English for Academic Purposes | | Author : Agzamkhodjaeva Saodat Abrarovna | | Abstract | Full Text | Abstract :English for Academic Purposes EAP is a specialized branch of English language education that equips learners with the necessary skills to effectively engage with academic texts, discussions, and writing tasks in higher education settings. This article provides an overview of the significance of EAP in helping students excel in academic environments, outlines the key components of EAP courses, and offers practical advice for improving academic language proficiency. Whether you are a student aiming to enhance your academic English skills or an educator seeking to optimize your EAP teaching methods, this abstract serves as a valuable resource for understanding the fundamentals of English for Academic Purposes. Agzamkhodjaeva Saodat Abrarovna "About Some Features of English for Academic Purposes" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancing Multidisciplinary Research and Analysis - Exploring Innovations , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64705.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/64705/about-some-features-of-english-for-academic-purposes/agzamkhodjaeva-saodat-abrarovna
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| The Characteristic Features of Diplomatic Terms and Their Translation | | Author : Musaev Biloliddin Nuriddin ugli | | Abstract | Full Text | Abstract :The paper analyzes the characteristics of the diplomatic terms and diplomatic language in general. The relevance of this research is due to the need to study diplomatic terms present in the political texts and sources as a special object of translation activity. The article offers some examples of diplomatic notions and their equivalents in Russian. Musaev Biloliddin Nuriddin ugli "The Characteristic Features of Diplomatic Terms and Their Translation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancing Multidisciplinary Research and Analysis - Exploring Innovations , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64707.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/64707/the-characteristic-features-of-diplomatic-terms-and-their-translation/musaev-biloliddin-nuriddin-ugli
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| Specifics of Youth Slang in the Journalistic Discourse of the English Language | | Author : Talibzhanova Aziza Lutfullaevna | | Abstract | Full Text | Abstract :This work is devoted to the properties of youth slang and the slang of youth subcultures in the English language, and in this regard it is necessary to clarify what makes this study work specifically on English slang, and not on the characteristics of slang in general. It is this small degree of external influence, unlike slang in many other languages that makes up the peculiarity of English slang. It identifies those lexico semantic features of special slang in the English language that distinguish it from other layers of vocabulary, and provides a theoretical explanation and practical illustration of these features. The factors that influence the choice of slangisms in speech are analyzed based on a survey of native speakers . Talibzhanova Aziza Lutfullaevna "Specifics of Youth Slang in the Journalistic Discourse of the English Language" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancing Multidisciplinary Research and Analysis - Exploring Innovations , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64713.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/64713/specifics-of-youth-slang-in-the-journalistic-discourse-of-the-english-language/talibzhanova-aziza-lutfullaevna
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| Some Peculiarities of Teaching English Phonetics | | Author : Radzhabova Dildora Karimberdievna | | Abstract | Full Text | Abstract :This article identified the mandatory aspects of teaching English phonetics to Uzbek students. Considering the nature of “Uzbek” errors in the English language, when creating textbooks on phonetics, emphasis should be placed on consolidating the skills of using broad phonological transcription, articulatory and auditory training of phonological oppositions and positional length of vowels and diphthongs. Radzhabova Dildora Karimberdievna "Some Peculiarities of Teaching English Phonetics" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancing Multidisciplinary Research and Analysis - Exploring Innovations , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64708.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/64708/some-peculiarities-of-teaching-english-phonetics/radzhabova-dildora-karimberdievna
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| Examine the Challenges and Strategies Involved in Translating Between Languages, Including Issues of Cultural Equivalence and Linguistic Nuance | | Author : Gaybullaeva Rano Ikhtiyorovna | Xalilova Guzal Abdupattahovna | | Abstract | Full Text | Abstract :Language translation is a complex process that involves more than just converting words from one language to another. It requires careful consideration of cultural nuances, linguistic subtleties, and context. This article explores the challenges faced by translators and the strategies employed to overcome them, with a focus on achieving cultural equivalence and preserving linguistic nuance. Drawing on existing literature and case studies, we analyze the methods used in translation, discuss the results of these approaches, and offer suggestions for improving the practice. Gaybullaeva Rano Ikhtiyorovna | Xalilova Guzal Abdupattahovna "Examine the Challenges and Strategies Involved in Translating Between Languages, Including Issues of Cultural Equivalence and Linguistic Nuance" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancing Multidisciplinary Research and Analysis - Exploring Innovations , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64955.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/64955/examine-the-challenges-and-strategies-involved-in-translating-between-languages-including-issues-of-cultural-equivalence-and-linguistic-nuance/gaybullaeva-rano-ikhtiyorovna
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| Use of Artificial Intelligence in Teaching Foreign Languages | | Author : Islamova Tokhira Rikhsibaevna | | Abstract | Full Text | Abstract :The article is devoted to the study of the theoretical and practical foundations of the use of artificial intelligence in teaching English in higher education. The author argues for the relevance and practical significance of the research topic through the ideas of a nature conforming personalist learning model. It turns out that one of the key issues at present is the reasoned selection and selection of the appropriate information and communication or digital technology, which can, in particular, ensure the formation and create the potential for the development of a strong foundation for the knowledge of a foreign English language. Islamova Tokhira Rikhsibaevna "Use of Artificial Intelligence in Teaching Foreign Languages" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancing Multidisciplinary Research and Analysis - Exploring Innovations , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64709.pdf Paper URL: https://www.ijtsrd.com/computer-science/artificial-intelligence/64709/use-of-artificial-intelligence-in-teaching-foreign-languages/islamova-tokhira-rikhsibaevna
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| National Dress Names and Features in English and Uzbek Languages | | Author : Anvarova Sayyoraxon Minavarjon qizi | | Abstract | Full Text | Abstract :The article is devoted to the names of clothing in modern English and Uzbek languages, their analysis and classification. The material is from the English language magazines British Vogue, Vogue American edition and TeenVogue youth edition . The main method used in the work is the method of ideographic analysis. Anvarova Sayyoraxon Minavarjon qizi "National Dress Names and Features in English and Uzbek Languages" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancing Multidisciplinary Research and Analysis - Exploring Innovations , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64728.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/64728/national-dress-names-and-features-in-english-and-uzbek-languages/anvarova-sayyoraxon-minavarjon-qizi
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| Linguistic Features of Simultaneous Translation | | Author : J. O. Moydinov | | Abstract | Full Text | Abstract : Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancing Multidisciplinary Research and Analysis - Exploring Innovations , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64958.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/64958/linguistic-features-of-simultaneous-translation/j-o-moydinov
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| Usage of New Methods in Teaching Phraseology | | Author : Jumayeva Sadbarg Mirolimovna | | Abstract | Full Text | Abstract :This article discusses innovative methods of teaching phraseology. We offer a methodology for teaching English phraseology at school using materials from Internet sites, teen magazines, newspaper texts and videos from information portals. Jumayeva Sadbarg Mirolimovna "Usage of New Methods in Teaching Phraseology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancing Multidisciplinary Research and Analysis - Exploring Innovations , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64710.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/64710/usage-of-new-methods-in-teaching-phraseology/jumayeva-sadbarg-mirolimovna
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| National Characteristics of the Concept of Family in English | | Author : Shukurova Nodira Bahtiyor qizi | | Abstract | Full Text | Abstract :This study attempts to create a portrait of a modern Englishman, taking into account his cultural and family values, reflected in English phraseology. The purpose of the study is to systematically describe the linguocultural specificity of the concept “family”, the features of its reflection in the American English language, as well as to identify the most important characteristics of the family in American and English linguistic culture. Shukurova Nodira Bahtiyor qizi "National Characteristics of the Concept of Family in English" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancing Multidisciplinary Research and Analysis - Exploring Innovations , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64712.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/64712/national-characteristics-of-the-concept-of-family-in-english/shukurova-nodira-bahtiyor-qizi
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| The Influence of Linguistic Expressions on the Perception of Color Shades | | Author : Sagdiyeva Guzal Jurayevna | | Abstract | Full Text | Abstract :Colors are a fundamental aspect of human perception and communication, but the way we perceive and categorize color shades can be influenced by linguistic expressions. This article explores how language can shape our perception of colors, focusing on how the use of specific words and phrases can impact the way we interpret and classify different hues. By examining the relationship between language and color perception, we can gain a deeper understanding of the complex interplay between linguistic expressions and our sensory experience of the world. Sagdiyeva Guzal Jurayevna "The Influence of Linguistic Expressions on the Perception of Color Shades" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancing Multidisciplinary Research and Analysis - Exploring Innovations , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64711.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/64711/the-influence-of-linguistic-expressions-on-the-perception-of-color-shades/sagdiyeva-guzal-jurayevna
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| A Comparative Analysis of Idiomatic Units in Uzbek and English Languages | | Author : Bozorova Mohigul Ulug‘bek qizi | | Abstract | Full Text | Abstract :Idiomatic units are integral components of language, encompassing expressions whose meanings transcend the literal interpretation of individual words. This paper conducts a comparative analysis of idiomatic units in Uzbek and English languages, exploring their structural, semantic, and cultural differences. Through a meticulous examination of idiomatic expressions, this study sheds light on the distinct features and underlying mechanisms of idiomatic usage in both languages. Bozorova Mohigul Ulug‘bek qizi "A Comparative Analysis of Idiomatic Units in Uzbek and English Languages" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancing Multidisciplinary Research and Analysis - Exploring Innovations , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64801.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/other/64801/a-comparative-analysis-of-idiomatic-units-in-uzbek-and-english-languages/bozorova-mohigul-ulug‘bek-qizi
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| Conversion As A Method of Word Formation in Linguistics | | Author : Azimbayeva Dilafruz Abdujabbarovna | | Abstract | Full Text | Abstract :This work determines the significant features of conversion among other word forming means of the English language. Along with this goal, certain tasks were set to establish the essence of conversion as one of the productive ways of word formation in English words find out the expected specifics of the spread and widespread use of such a word formation method as conversion characterize individual conversion models in particular conduct a comparative analysis of some conversion models based on written materials in English. Azimbayeva Dilafruz Abdujabbarovna "Conversion As A Method of Word Formation in Linguistics" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancing Multidisciplinary Research and Analysis - Exploring Innovations , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64802.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/other/64802/conversion-as-a-method-of-word-formation-in-linguistics/azimbayeva-dilafruz-abdujabbarovna
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| Criteria for Pedagogical Innovations | | Author : Xalilova Guzal Abdupattahovna | | Abstract | Full Text | Abstract :The article deals with criteria for pedagogical innovations. The article also discusses the issue of dissemination and promotion of new pedagogical ideas and technologies. The need to resolve this issue is explained by a number of circumstances. Firstly, the author of a pedagogical innovation, or any constructive pedagogical idea, or technology is not always aware of its value and prospects. Secondly, he does not always consider it necessary to implement his ideas, since this requires additional time, etc. Xalilova Guzal Abdupattahovna "Criteria for Pedagogical Innovations" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancing Multidisciplinary Research and Analysis - Exploring Innovations , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64956.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/64956/criteria-for-pedagogical-innovations/xalilova-guzal-abdupattahovna
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| Lexical Transformations in Fiction Translation | | Author : Akhunova Nozima Nurullokhonovna | | Abstract | Full Text | Abstract :This article considers about the problems of literary translation and the techniques of lexical transformations used to solve them. Akhunova Nozima Nurullokhonovna "Lexical Transformations in Fiction Translation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancing Multidisciplinary Research and Analysis - Exploring Innovations , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64803.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/other/64803/lexical-transformations-in-fiction-translation/akhunova-nozima-nurullokhonovna
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| The Impact of Digital Storytelling on Vocabulary Learning | | Author : Madiyarov Babur Allambergenovich | | Abstract | Full Text | Abstract :Digital storytelling is a pedagogical approach that integrates multimedia elements into narratives to facilitate learning. This paper explores the impact of digital storytelling on vocabulary learning within educational contexts. Drawing on existing literature and empirical evidence, the paper highlights the efficacy of digital storytelling in enhancing vocabulary acquisition. It examines this impacts key mechanisms, including multimodal engagement, contextualization, and active participation. The paper concludes with implications for educational practice and suggestions for future research. Madiyarov Babur Allambergenovich "The Impact of Digital Storytelling on Vocabulary Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancing Multidisciplinary Research and Analysis - Exploring Innovations , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64959.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/64959/the-impact-of-digital-storytelling-on-vocabulary-learning/madiyarov-babur-allambergenovich
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| Use of Lexical Transformations On the Material of Works of Fiction | | Author : Akhunova Nozima Nurullokhonovna | | Abstract | Full Text | Abstract :This article considers about the problems of literary translation and the techniques of lexical transformations used to solve them Akhunova Nozima Nurullokhonovna "Use of Lexical Transformations: On the Material of Works of Fiction" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancing Multidisciplinary Research and Analysis - Exploring Innovations , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64804.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/other/64804/use-of-lexical-transformations-on-the-material-of-works-of-fiction/akhunova-nozima-nurullokhonovna
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| Theoretical Foundations of Educational Technologies | | Author : Makhammadsoliyeva Rano Ikromjon kizi | Akhmedova Aziza Akmalovna | | Abstract | Full Text | Abstract :The article deals with the theoretical foundations of educational technologies. The classification of educational technologies can be carried out on the basis of the logic of the unfolding of the educational process and the student’s place in this logic. Then it would be justified to distinguish two main groups of technologies that reflect one or another didactic system, namely subject oriented and person oriented. Makhammadsoliyeva Rano Ikromjon kizi | Akhmedova Aziza Akmalovna "Theoretical Foundations of Educational Technologies" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancing Multidisciplinary Research and Analysis - Exploring Innovations , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64960.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/64960/theoretical-foundations-of-educational-technologies/makhammadsoliyeva-rano-ikromjon-kizi
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| Polysemy in the Phonetic Terminology of English, Russian and Uzbek Languages | | Author : Kamalova Dilovar Azatkhanovna | | Abstract | Full Text | Abstract :The article presents the results of a study of phonetic terminology in English, Uzbek and Russian languages. In particular, polysemy is considered as a type of semantic variation of phonetic terms, in which the formal structure of the term is invariant, and the content plan varies. In the languages being compared, polysemy is represented primarily by categorical polysemy based on metonymic transfer. In addition, polysemy is highlighted, associated with the use of the term in the narrow and broad senses. Kamalova Dilovar Azatkhanovna "Polysemy in the Phonetic Terminology of English, Russian and Uzbek Languages" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancing Multidisciplinary Research and Analysis - Exploring Innovations , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64839.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/64839/polysemy-in-the-phonetic-terminology-of-english-russian-and-uzbek-languages/kamalova-dilovar-azatkhanovna
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| New Dimensions of Indian Foreign Policy – ??A Critical Exploration 2014 to Present | | Author : Dr. Sucheta Verma | | Abstract | Full Text | Abstract :The world has changed extensively since Indias independence in 1947. During this time, the world has seen many forms, from the bipolar world of the United States and the Soviet Union to a brief unipolar period of American hegemony, and now from the move towards bipolar competition between China and the United States to an illusion of multipolarity. Dr. Sucheta Verma "New Dimensions of Indian Foreign Policy – ??A Critical Exploration (2014 to Present)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancing Multidisciplinary Research and Analysis - Exploring Innovations , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64855.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/political-science/64855/new-dimensions-of-indian-foreign-policy-–-??a-critical-exploration-2014-to-present/dr-sucheta-verma
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| Translation as a Means of Teaching in a Foreign Language Lesson | | Author : Khayratdinova Azima Miratdin qizi | | Abstract | Full Text | Abstract :The article deals with translation as a means of teaching in a foreign language lesson. Translation has always performed the most important social function, making interlingual communication between people possible. The dissemination of written translations made it possible to gain access to the cultural achievements of other peoples and provided the opportunity for interaction and mutual enrichment of cultures. Khayratdinova Azima Miratdin qizi "Translation as a Means of Teaching in a Foreign Language Lesson" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancing Multidisciplinary Research and Analysis - Exploring Innovations , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64957.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/64957/translation-as-a-means-of-teaching-in-a-foreign-language-lesson/khayratdinova-azima-miratdin-qizi
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| Assessment and Research in Translation Sciences | | Author : Mavlonova Rano Murtazayevna | | Abstract | Full Text | Abstract :Data analysis is mainly carried out by analyzing translated works. Research on translation works is a research oriented collaboration between translation theory and linguistic theory based on consequential research. Further problems of translation research can be done for translation activities related to translators using technological devices and translation training or translation training. Mavlonova Rano Murtazayevna "Assessment and Research in Translation Sciences" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancing Multidisciplinary Research and Analysis - Exploring Innovations , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64985.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/64985/assessment-and-research-in-translation-sciences/mavlonova-rano-murtazayevna
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| Basic Principles and Directions of Terminological System Analysis in Uzbek Linguistics | | Author : Muhammadieva Nodira Khudoyor qizi | | Abstract | Full Text | Abstract :This article will reveal the principles, main directions and methods of studying terms and their analysis in linguistics. Each area has its own terminological system, and this area is now becoming one of the main areas for research topics. The views and opinions of research scientists who have carried out their scientific work in this area are considered in this article. Muhammadieva Nodira Khudoyor qizi "Basic Principles and Directions of Terminological System Analysis in Uzbek Linguistics" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancing Multidisciplinary Research and Analysis - Exploring Innovations , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64961.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/other/64961/basic-principles-and-directions-of-terminological-system-analysis-in-uzbek-linguistics/muhammadieva-nodira-khudoyor-qizi
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| Basic Concepts and Principles of the Terminology of the Field of Gastronomy | | Author : Muhammadieva Nodira Khudoyor qizi | | Abstract | Full Text | Abstract :This article will reveal the principles, main meanings and basic concepts of the terminology of gastronomy and their analysis in linguistics. Each area has its own terminological system, and this area is now becoming one of the main areas for research topics. The views and opinions of research scientists who have carried out their scientific work in this area are considered in this article. Muhammadieva Nodira Khudoyor qizi "Basic Concepts and Principles of the Terminology of the Field of Gastronomy" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancing Multidisciplinary Research and Analysis - Exploring Innovations , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64962.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/other/64962/basic-concepts-and-principles-of-the-terminology-of-the-field-of-gastronomy/muhammadieva-nodira-khudoyor-qizi
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| The Importance of Educating Children in an Aesthetic Spirit | | Author : Rasulova Zamira Sirojiddinovna | | Abstract | Full Text | Abstract :The article highlights the issues of educating children in preschool educational organizations on knowledge, skills, aesthetic feelings, interests, aesthetic needs, aesthetic tastes, and judgments realized through the aesthetic activities of preschoolers. Rasulova Zamira Sirojiddinovna "The Importance of Educating Children in an Aesthetic Spirit" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancing Multidisciplinary Research and Analysis - Exploring Innovations , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64984.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/64984/the-importance-of-educating-children-in-an-aesthetic-spirit/rasulova-zamira-sirojiddinovna
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| The Importance of Interactive Learning Methods in Russian Language and Literature Lessons | | Author : Kaipova Guzel Ildarovna | | Abstract | Full Text | Abstract :The significance of interactive teaching strategies in Russian language and literature lessons is discussed in this article. This article discusses the use of interactive educational technologies in classroom instruction as one method of competence based modernization of education. Numerous aspects of educational challenges can be solved through interactive teaching approaches. Having access to interactive learning technology helps students develop the qualities needed to satisfy the requirements outlined in the next generation of state standards. Kaipova Guzel Ildarovna "The Importance of Interactive Learning Methods in Russian Language and Literature Lessons" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancing Multidisciplinary Research and Analysis - Exploring Innovations , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64986.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/other/64986/the-importance-of-interactive-learning-methods-in-russian-language-and-literature-lessons/kaipova-guzel-ildarovna
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| The Importance of Toponyms in Human Life | | Author : Nuriddinova Nozima Avazxonovna | | Abstract | Full Text | Abstract :This article is about the importance of toponyms in human life. The main purpose and function of toponyms is the allocation, individualization, and identification of named objects among others. Currently, in the context of the formation of the information society, it is difficult to overestimate the role and importance of toponyms as accurate landmarks on the ground. Nuriddinova Nozima Avazxonovna "The Importance of Toponyms in Human Life" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancing Multidisciplinary Research and Analysis - Exploring Innovations , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64987.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/other/64987/the-importance-of-toponyms-in-human-life/nuriddinova-nozima-avazxonovna
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| Speaking Methods and Strategies in Improving the Students Speech | | Author : Khodjaeva Saodatkhan Saidullayevna | | Abstract | Full Text | Abstract :This article examines the main problems that students face when trying to master speaking skills in a foreign language and analyzes possible ways to solve them. for teachers with large classes of students who have encountered some of the following or similar problems during speaking activities in their classroom. Khodjaeva Saodatkhan Saidullayevna "Speaking Methods and Strategies in Improving the Students Speech" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancing Multidisciplinary Research and Analysis - Exploring Innovations , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd66025.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/66025/speaking-methods-and-strategies-in-improving-the-students-speech/khodjaeva-saodatkhan-saidullayevna
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| The Impact of Climate Change on the Environment | | Author : Anil Kumar | | Abstract | Full Text | Abstract :Climate change refers to long term shifts in temperatures and weather patterns. Such shifts can be natural, due to changes in the sun’s activity or large volcanic eruptions. But since the 1800s, human activities have been the main driver of climate change, primarily due to the burning of fossil fuels like coal, oil and gas.Burning fossil fuels generates greenhouse gas emissions that act like a blanket wrapped around the Earth, trapping the sun’s heat and raising temperatures.The main greenhouse gases that are causing climate change include carbon dioxide and methane. These come from using gasoline for driving a car or coal for heating a building, for example. Clearing land and cutting down forests can also release carbon dioxide. Agriculture, oil and gas operations are major sources of methane emissions. Energy, industry, transport, buildings, agriculture and land use are among the main sectors causing greenhouse gases. Anil Kumar "The Impact of Climate Change on the Environment" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancing Multidisciplinary Research and Analysis - Exploring Innovations , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64990.pdf Paper URL: https://www.ijtsrd.com/physics/other/64990/the-impact-of-climate-change-on-the-environment/anil-kumar
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| Goals and Content of Teaching Listening in High School | | Author : Bahodirov Ulug’bek Bahodirovich | | Abstract | Full Text | Abstract :The article deals with goals and content of teaching listening in high schools. In a modern foreign language program, the main goal of teaching listening comprehension is to develop students’ ability to understand by ear foreign language speech built on program material with the assumption of a certain amount of unfamiliar vocabulary in the context of direct communication in various communication situations educational and authentic audio texts with varying degrees and depth of penetration into their content within the framework of program requirements basic information global understanding necessary information selective understanding complete information detailed understanding . Bahodirov Ulug’bek Bahodirovich "Goals and Content of Teaching Listening in High School" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancing Multidisciplinary Research and Analysis - Exploring Innovations , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd66023.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/66023/goals-and-content-of-teaching-listening-in-high-school/bahodirov-ulug’bek-bahodirovich
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| Semantic Characteristic Features of the Functioning of English Motion Verbs | | Author : Khodjaeva Saodatkhan Saidullayevna | | Abstract | Full Text | Abstract :The article reveals the semantics of verbs of motion in the English language, as well as some characteristics and features of the functioning of English verbs of motion, highlighted by both domestic and foreign researchers. The components of the Movement Situation are described, as well as their functional activity and modeling character. It has been established that verbs of movement, having complex semantics, can convey different types of ordered movement, also modeled with the participation of postpositive elements. Using the example of English verbs, it is examined how, depending on the set of all components in the verbal directive construction, the Event of Movement itself can change, forming semantically filled units with a certain spatial directive meaning. Khodjaeva Saodatkhan Saidullayevna "Semantic Characteristic Features of the Functioning of English Motion Verbs" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancing Multidisciplinary Research and Analysis - Exploring Innovations , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd66024.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/66024/semantic-characteristic-features-of-the-functioning-of-english-motion-verbs/khodjaeva-saodatkhan-saidullayevna
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| Enhancing Animal Healthcare through Digital Record Keeping A Study on Registered Animal Data Management | | Author : Chetan Mahalle | Himanshi Katre | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :Digitalisation has transformed many industries, and this is no different in the animal healthcare sector. However, its impact extends equally across veterinarians, veterinarians, and public health, especially when it comes to managing registered animal data as part of digital record keeping. This review article discusses the significant benefits, challenges and future developments of digital recording in animal healthcare.This paper details how EHR and data management systems improve the efficiency of animal healthcare practices, whether that is for disease management or providing oversight to meeting regulatory requirements. It also helps to understand how data driven approaches enhance treatment protocols, lower costs and assist in larger research efforts. This paper aims to analyse the above to highlight how significantly valuable digital records are in improving every single animal and the animal healthcare life cycle. Chetan Mahalle | Himanshi Katre | Prof. Anupam Chaube "Enhancing Animal Healthcare through Digital Record Keeping: A Study on Registered Animal Data Management" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74897.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/74897/enhancing-animal-healthcare-through-digital-record-keeping-a-study-on-registered-animal-data-management/chetan-mahalle
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| Challenges of Arabic English Translation | | Author : Tojiyeva Zamira Zafar qizi | Ermatov Usmonjon Komilovich | | Abstract | Full Text | Abstract :Arabic language is a rich language with a vast vocabulary, including terms that may not have direct equivalents in other languages. Translation is a field of contrastive linguistics since it is associated with at least two languages and their cultures. It is the process of conveying the text by transferring from one system of language to the other and often need to employ creative techniques to convey the richness of the original text in the translated version. In this article the focus will be on the problems of translating from Arabic language or into Arabic and will give several solutions. Tojiyeva Zamira Zafar qizi | Ermatov Usmonjon Komilovich "Challenges of Arabic - English Translation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancing Multidisciplinary Research and Analysis - Exploring Innovations , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd66026.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/66026/challenges-of-arabic--english-translation/tojiyeva-zamira-zafar-qizi
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| Digitalization and Its Impact on Traditional Family Values and Rituals | | Author : Khodjaeva Saodatkhan Saidullayevna | | Abstract | Full Text | Abstract :Digitalization has significantly transformed social interaction, communication patterns, and cultural practices across the world. One of the most affected areas is the family institution, where traditional values and rituals are increasingly influenced by digital technologies. This article examines the impact of digitalization on traditional family values and rituals, focusing on changes in communication, intergenerational relationships, and cultural practices. Using a qualitative analytical approach, the study explores both the positive and negative effects of digital technologies on family life. The findings suggest that while digitalization offers new opportunities for connection and flexibility, it also poses challenges to the preservation of traditional family values and rituals. Khodjaeva Saodatkhan Saidullayevna "Digitalization and Its Impact on Traditional Family Values and Rituals" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Applied Multidisciplinary Innovations on Multidisciplinary Research and Innovation , October 2025, URL: https://www.ijtsrd.com/papers/ijtsrd99944.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/99944/digitalization-and-its-impact-on-traditional-family-values-and-rituals/khodjaeva-saodatkhan-saidullayevna
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| History in the Folk Songs of Bastar A Study | | Author : Dr. Purohit Kumar Sori | | Abstract | Full Text | Abstract :Bastar is a tribal dominated area where many tribes like Gond, Muria, Madia, Bhatra, Dhurva, Paraja, Halba reside. Gond tribe has the highest population among all these, which has many sub branches, these sub branches have their own cultural specialties. Cultural specialties include folk songs, folk dances, folk tales and folk art. The folk songs of these tribes describe their socio cultural traditions and beliefs. In the same sequence, there are some folk songs in which the history of Bastar is described. We can also call it the oral history of Bastar. The tribes here have their own dialects, but Gondi and Halbi are used in most areas. Halbi dialect has a special place among these dialects of Bastar because this dialect has the status of a contact language. Due to which we get most of the folk songs in Halbi dialect. Through these folk songs, we get to know about their love, religious faith and social and cultural traditions. Since there is a lack of literature to study the history of Bastar, we get to see history in the folk songs of this place. At present, some writers and historians are working on documenting the folk songs, music and culture of Bastar, which is an important book to know and understand the history of Bastar and its social cultural tradition. Dr. Purohit Kumar Sori "History in the Folk Songs of Bastar: A Study" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancing Multidisciplinary Research and Analysis - Exploring Innovations , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64877.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/history/64877/history-in-the-folk-songs-of-bastar-a-study/dr-purohit-kumar-sori
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| The Free Aqua Wave How Social Media Drives Consumer Trust and Brand Loyalty | | Author : Divya More | Himanshu Naitam | Prof. Monica Chaudhary | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :In todays digital landscape, social media platforms have become instrumental in shaping consumer trust and fostering brand loyalty. This review examines the mechanisms through which social media influences consumer perceptions and loyalty behaviours. Key factors include the creation of online brand communities, direct consumer brand interactions, and the strategic use of influencer partnerships. The study highlights that authentic and transparent communication on social media enhances brand credibility, while personalized content and responsive engagement strengthen the emotional bond between consumers and brands. Additionally, user generated content and social proof, such as customer reviews and testimonials, play a significant role in building trust and encouraging repeat patronage. By analysing current trends and case studies, this paper provides insights into effective social media strategies that drive consumer trust and cultivate brand loyalty in the digital age. Divya More | Himanshu Naitam | Prof. Monica Chaudhary | Prof. Usha Kosarkar "The Free Aqua Wave: How Social Media Drives Consumer Trust and Brand Loyalty" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74905.pdf Paper URL: https://www.ijtsrd.com/management/marketing/74905/the-free-aqua-wave-how-social-media-drives-consumer-trust-and-brand-loyalty/divya-more
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| Pragmatic Transposition Occurring in the Meaning of Interrogative Sentences | | Author : Safarov Shahriyor Safarovich | Kholmatova Vazira Narzullayevna | | Abstract | Full Text | Abstract :The study of speech acts has long emphasized the intricate relationship between linguistic form and communicative function. Since J. L. Austin’s seminal work How to Do Things with Words 1962 , the performative nature of utterances has been analyzed not merely as statements of fact but as actions accomplished through language. Later developments by J. Searle, P. Harder 1978 , and J. Sadock 1974 further refined this approach, demonstrating that speech acts can deviate from their literal form, resulting in complex pragmatic effects. Safarov Shahriyor Safarovich | Kholmatova Vazira Narzullayevna "Pragmatic Transposition Occurring in the Meaning of Interrogative Sentences" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Applied Multidisciplinary Innovations on Multidisciplinary Research and Innovation , October 2025, URL: https://www.ijtsrd.com/papers/ijtsrd98733.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/98733/pragmatic-transposition-occurring-in-the-meaning-of-interrogative-sentences/safarov-shahriyor-safarovich
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| Exercises for Improving the Effectiveness of Future Interpreters | | Author : Khalilova Guzal Abdumattakhovna | | Abstract | Full Text | Abstract :This article examines various exercises and methodological techniques aimed at improving translators’ effectiveness. In particular, it highlights exercises that develop memory, the “shadowing” technique, training in simultaneous interpretation, and other cognitive, linguistic, and practical methods. Khalilova Guzal Abdumattakhovna "Exercises for Improving the Effectiveness of Future Interpreters" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Applied Multidisciplinary Innovations on Multidisciplinary Research and Innovation , October 2025, URL: https://www.ijtsrd.com/papers/ijtsrd99860.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/99860/exercises-for-improving-the-effectiveness-of-future-interpreters/khalilova-guzal-abdumattakhovna
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| The Following Pedagogical Mechanisms to Increase the Competitiveness of Educational Services in the Conditions of Socio Economic Globalisation | | Author : Babayeva Lola Ibragimovna | Uralova Zarina Azamat qizi | | Abstract | Full Text | Abstract :This article is aimed at developing theoretical foundations for the provision of educational services in the context of globalization, flexible, competitive and effective approaches to the modern requirements of global education. These theoretical foundations include the introduction of international standards at various stages of education systems, improving the quality of education, developing students global outlook and using modern information and communication technologies. Babayeva Lola Ibragimovna | Uralova Zarina Azamat qizi "The Following Pedagogical Mechanisms to Increase the Competitiveness of Educational Services in the Conditions of Socio-Economic Globalisation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Applied Multidisciplinary Innovations on Multidisciplinary Research and Innovation , October 2025, URL: https://www.ijtsrd.com/papers/ijtsrd99864.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/99864/the-following-pedagogical-mechanisms-to-increase-the-competitiveness-of-educational-services-in-the-conditions-of-socioeconomic-globalisation/babayeva-lola-ibragimovna
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| Specific Features of Teaching a Foreign Language in Non Philological Educational Institutions Students’ Needs and Motivation for Language Learning | | Author : Azimbayeva Ranokhon Yuldashevna | | Abstract | Full Text | Abstract :The teaching of foreign languages in non philological educational institutions presents distinct pedagogical challenges due to the professional orientation, limited instructional time, and heterogeneous motivation of learners. Unlike philological programs, where language itself is the core subject of study, non philological contexts require language instruction to be closely aligned with students’ academic and professional needs. This article examines the specific features of foreign language teaching in non philological institutions, with a particular focus on students’ needs and motivation for language learning. Using a qualitative analytical approach, the study synthesizes theoretical perspectives on language education, learner motivation, and needs analysis. The findings highlight the importance of professionally oriented content, communicative relevance, and learner centered methodology in fostering sustainable motivation and effective language acquisition. Azimbayeva Ranokhon Yuldashevna "Specific Features of Teaching a Foreign Language in Non-Philological Educational Institutions: Students’ Needs and Motivation for Language Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Applied Multidisciplinary Innovations on Multidisciplinary Research and Innovation , October 2025, URL: https://www.ijtsrd.com/papers/ijtsrd99985.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/99985/specific-features-of-teaching-a-foreign-language-in-nonphilological-educational-institutions-students’-needs-and-motivation-for-language-learning/azimbayeva-ranokhon-yuldashevna
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| AgroTech E Commerce Innovation Financial Inclusion Via E Commerce in Agrotech | | Author : Shrawani Durgapurohit | Kunal Paunikar | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :Financial inclusion has become a global priority for enhancing economic growth and reducing poverty, especially in developing countries. Integrating e commerce into agricultural technology Agrotech presents transformative opportunities to improve access to financial services for farmers, agribusinesses, and rural populations. E commerce platforms, which combine digital marketplaces, mobile payments, and innovative financial products, play a pivotal role in bridging the gap between rural communities and financial ecosystems. By enabling smallholder farmers to connect directly with consumers and financial institutions, these platforms foster increased market participation, reduce transaction costs, and enhance income stability. Furthermore, fintech innovations linked with e commerce promote alternative credit scoring systems, crop insurance products, and mobile based microloans, broadening financial opportunities for traditionally unbanked populations. This paper reviews the impact of these platforms on financial inclusion within Agrotech, delving into how they drive economic participation while overcoming systemic barriers. We explore current challenges—such as digital literacy, infrastructure deficits, and regulatory frameworks—and offer insights into potential policy and technological strategies that can advance this sector. By synthesizing case studies and recent innovations, this review underscores the transformative potential of Agrotech in promoting equitable economic growth and reducing financial exclusion in rural economies. Financial inclusion has become a global priority for enhancing economic growth and reducing poverty, especially in developing countries. Integrating e commerce into agricultural technology Agrotech presents transformative opportunities to improve access to financial services for farmers, agribusinesses, and rural populations. This paper reviews the impact of e commerce platforms on financial inclusion in Agrotech, exploring the mechanisms through which digital marketplaces, mobile payments, and innovative financial products promote economic participation. We analyze challenges, opportunities, and future directions in this rapidly evolving sector. Shrawani Durgapurohit | Kunal Paunikar | Prof. Anupam Chaube "AgroTech E-Commerce Innovation: Financial Inclusion Via E-Commerce in Agrotech" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74898.pdf Paper URL: https://www.ijtsrd.com/management/accounting-and-finance/74898/agrotech-ecommerce-innovation-financial-inclusion-via-ecommerce-in-agrotech/shrawani-durgapurohit
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| Digital Marketplaces Transforming Agricultural Supply Chains and Enhancing Farmer Profitability | | Author : Shrutika Shaniware | Ninad Dhawale | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :The agricultural sector faces numerous challenges, including supply chain inefficiencies, price volatility, and the dominance of intermediaries, which often reduce farmers profits and inflate consumer prices. Digital marketplaces are emerging as transformative solutions by directly connecting farmers with consumers, reducing dependency on traditional intermediaries, and ensuring greater price transparency. This paper explores the role of digital marketplaces in enhancing agricultural supply chains, examining their impact on cost efficiency, accessibility, and profitability for farmers. Through an analysis of successful platforms and case studies, we highlight how digital marketplaces empower farmers with real time price information, streamline logistics, and create a more equitable agricultural ecosystem. Additionally, the paper discusses potential challenges such as digital literacy, infrastructure limitations, and regulatory concerns. By leveraging technology driven innovations, digital marketplaces have the potential to revolutionize agricultural trade, fostering sustainability and economic growth in the sector. Shrutika Shaniware | Ninad Dhawale | Prof. Usha Kosarkar "Digital Marketplaces: Transforming Agricultural Supply Chains and Enhancing Farmer Profitability" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74899.pdf Paper URL: https://www.ijtsrd.com/management/marketing/74899/digital-marketplaces-transforming-agricultural-supply-chains-and-enhancing-farmer-profitability/shrutika-shaniware
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| Machine Learning Based Crop Recommendation System Using K Means Clustering for Precision Agriculture | | Author : Yash Kushwaha | Damini Thakare | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :Utilizing Machine Learning and Clustering Techniques for Crop Recommendation Food security worldwide heavily depends on agriculture however, farmers often face challenges in selecting the most appropriate crops for their fields due to diverse soil characteristics, weather conditions, and precipitation levels. This research introduces a Crop Recommendation System based on Machine Learning, employing K Means Clustering, an unsupervised learning method, to categorize areas according to temperature, rainfall, soil pH, and soil type. The system analyzed historical farming data to group similar regions and propose ideal crops for cultivation. The model was developed using a dataset comprising soil and climate information from various geographic locations. Users can access a web based interface to input their local parameters and receive dynamic predictions for optimal crops. The findings demonstrated that clustering offers a robust solution for precision farming, enabling data driven crop selection. This system is designed to assist farmers in making well informed decisions, potentially leading to enhanced agricultural output and long term sustainability. Yash Kushwaha | Damini Thakare | Prof. Anupam Chaube "Machine Learning-Based Crop Recommendation System Using K-Means Clustering for Precision Agriculture" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74900.pdf Paper URL: https://www.ijtsrd.com/engineering/agricultural-engineering/74900/machine-learningbased-crop-recommendation-system-using-kmeans-clustering-for-precision-agriculture/yash-kushwaha
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| Integrating Smart Technologies in Veterinary Practices for Improved Animal Care | | Author : Mohommad Sahil Sheikh | Harshal Behniya | Prof. Poonam Kale | Prof. Shweta Wase | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :The veterinary industry faces the growing need to manage large and diverse sets of data from medical history to diagnostic imaging, treatment plans and ongoing patient monitoring. Old data management methods struggle to keep pace with a fast evolving dynamic in modern veterinary practices, leading to inefficiencies, misdiagnosis and adverse care outcomes. Here we examine the power of digital data management solutions for peeling back the layers on these challenges and provide a pragmatic platform for optimizing veterinary service delivery with modern solutions. These solutions utilize cloud based storage, Internet of Things IoT devices, and artificial intelligence AI driven analytics to facilitate real time monitoring, secure and centralized data storage, predictive diagnosis, and personalized treatment plans. AI technology in agriculture is making a significant impact by integrating IoT devices that track health metrics of animals, which can be used to analyze and predict diseases, as well as provide suggestions on prevention measures. Moreover, cloud computing provides for data access and sharing for veterinarians, pet owners and other stakeholders, enhancing collaboration and decision making. Pilot studies have shown marked increases in diagnostic accuracy, treatment efficiencies, and patient outcomes. Clinics using such systems reported 30 increased workflow efficiency, and higher client satisfaction, due to the accessibility and transparency of health data. Although having to initially deal with high implementation costs and any necessary staff training to transition to these practices, the long term benefits of improved clinical outcomes and streamlined operations make these systems invaluable for the future of veterinary care. Most veterinary practices can come through this period stronger than before, armed with digital data management solutions that allow them to not only address the challenges posed by recent changes in pet ownership and care, but to offer new ways to increase preventive care and disease management. In conclusion, this paper highlights a transformative role technology can play in enhancing the practice of veterinary services, resulting in greater veterinary health. Mohommad Sahil Sheikh | Harshal Behniya | Prof. Poonam Kale | Prof. Shweta Wase | Prof. Anupam Chaube "Integrating Smart Technologies in Veterinary Practices for Improved Animal Care" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74901.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/74901/integrating-smart-technologies-in-veterinary-practices-for-improved-animal-care/mohommad-sahil-sheikh
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| A Comprehensive Solution for Public Health Awareness and Disease Diagnosis | | Author : Dipti Patle | Chinmay Ambade | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :A comprehensive solution for public health awareness and disease diagnosis aims to integrate education, technology, community engagement, and data driven strategies to enhance health outcomes globally. This approach focuses on raising awareness about disease prevention, improving early detection through advanced diagnostic tools, and using technology like AI and telemedicine to reach broader populations. Key components include targeted public health campaigns, the adoption of wearable devices and mobile health apps for continuous monitoring, and the use of data analytics to inform healthcare decisions. Empowering communities and ensuring equal access to resources are essential to overcoming health disparities and achieving effective outcomes. The ultimate goal is to create a sustainable model that not only detects diseases early but also prevents them through ongoing public education and accessible healthcare solutions.The burden of preventable diseases, both chronic and infectious, has become a significant public health challenge across the world. As health issues continue to escalate globally, effective solutions that integrate public health awareness with early disease diagnosis are paramount. A comprehensive solution for public health awareness and disease diagnosis aims to not only prevent and manage disease but also to create a robust system that promotes health literacy, equips populations with the tools for early detection, and ensures equitable access to healthcare. This solution combines the power of educational campaigns, technological advancements, data driven policies, and community based approaches to create a health ecosystem that is proactive rather than reactive. By enhancing awareness, facilitating early diagnosis, and empowering individuals with the knowledge and tools necessary for self care, such a solution has the potential to significantly reduce the global burden of disease, improve health outcomes, and create sustainable public health improvements. Dipti Patle | Chinmay Ambade | Prof. Anupam Chaube "A Comprehensive Solution for Public Health Awareness and Disease Diagnosis" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74902.pdf Paper URL: https://www.ijtsrd.com/computer-science/other/74902/a-comprehensive-solution-for-public-health-awareness-and-disease-diagnosis/dipti-patle
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| Improving Community Health with DigiVision Multi Disease Diagnosis for Greater Public Awareness | | Author : Munishwar Game | Kejal Rokde | Prof. Poonam Kale | Prof. Shweta Wase | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :Advancements in digital healthcare technologies offer transformative opportunities to improve community health outcomes. This paper introduces DigiVision, an innovative multi disease diagnostic platform designed to enhance public awareness and facilitate early detection of prevalent diseases. DigiVision employs advanced artificial intelligence AI and machine learning ML algorithms, paired with a user friendly interface, to provide accurate, real time diagnoses for multiple health conditions such as diabetes, hypertension, respiratory illnesses, and infectious diseases.By integrating DigiVision into community health programs, individuals gain access to affordable and accessible diagnostic tools, enabling proactive health monitoring and timely medical intervention. The platform also provides educational resources tailored to diverse populations, fostering awareness of disease prevention, management strategies, and the importance of regular health check ups. DigiVision’s scalability and adaptability make it ideal for deployment in resource limited settings, empowering underserved communities to take charge of their health.This paper discusses the technological framework, community driven deployment strategies, and the potential societal impact of DigiVision, emphasizing its role in addressing health disparities and promoting equitable access to essential healthcare services. The findings underscore DigiVision’s promise as a catalyst for improved public health and a model for integrating AI driven solutions in global healthcare ecosystems. Munishwar Game | Kejal Rokde | Prof. Poonam Kale | Prof. Shweta Wase | Prof. Anupam Chaube "Improving Community Health with DigiVision: Multi-Disease Diagnosis for Greater Public Awareness" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74903.pdf Paper URL: https://www.ijtsrd.com/computer-science/other/74903/improving-community-health-with-digivision-multidisease-diagnosis-for-greater-public-awareness/munishwar-game
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| A Technological Revolution in Public Health Education through Disease Detection | | Author : Sahil Chavhan | Sayali Maske | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :The integration of advanced technologies in public health has initiated a transformative era in disease detection and education. Leveraging tools such as artificial intelligence, machine learning, wearable devices, and data analytics, modern systems provide accurate diagnostics while promoting widespread health literacy. This paper reviews current advancements, highlights innovative applications, and evaluates the challenges of implementing these technologies in global healthcare. The review explores the ethical, social, and technical implications of utilizing cutting edge methods to revolutionize public health education and disease prevention. By combining robust diagnostic tools with tailored educational initiatives, this paper outlines a framework for enhancing public health outcomes worldwide.Machine learning algorithms that have been trained on large datasets gathered from many medical sources form the basis of the Multiple Disease Prediction System. Numerous parameters are covered by these databases, such as genetic predispositions, lab results, environmental impacts, and demographic data. The system uses algorithms such as random forests, decision trees, and neural networks to find connections and patterns that might be hard for human specialists to find. The system improves its predictions over time by continuously assimilating fresh data, guaranteeing precision and applicability in a medical environment that is changing quickly. Sahil Chavhan | Sayali Maske | Prof. Anupam Chaube "A Technological Revolution in Public Health Education through Disease Detection" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74904.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/74904/a-technological-revolution-in-public-health-education-through-disease-detection/sahil-chavhan
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| The Free Aqua Wave Enhancing Brand Reach and Engagement through Social Media Marketing | | Author : Chaitali Kanfade | Rajkumar Nagpure | Prof. Monica Chaudhary | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :The study looks at the Free Aqua Wave campaign, a social media project designed to raise brand awareness and encourage deep connections with customers. It offers a thorough methodology for using social media to improve brand visibility by examining platforms, content tactics, and analytics related to user interaction. This study examines how environmentally concerned companies, such as The Free Aqua Wave, can use social media marketing to successfully connect with the values and interests of consumers in the digital era. This essay examines The Free Aqua Wave as a fictitious case study for applying social media marketing tactics to increase brand awareness and interaction by utilizing platform specific tactics and creative content. A lifestyle business with an emphasis on sustainability, The Free Aqua Wave, has effectively employed social media marketing techniques to raise brand awareness and interaction. According to the report, brand loyalty and engagement rates can be increased with a data driven, strategic approach to social media marketing. Influencer partnerships, narrative approaches, platform specific tactics, and data analytics are important components. The results provide useful information that companies can use to prosper in the cutthroat digital market. Chaitali Kanfade | Rajkumar Nagpure | Prof. Monica Chaudhary | Prof. Usha Kosarkar "The Free Aqua Wave: Enhancing Brand Reach and Engagement through Social Media Marketing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74906.pdf Paper URL: https://www.ijtsrd.com/management/marketing/74906/the-free-aqua-wave-enhancing-brand-reach-and-engagement-through-social-media-marketing/chaitali-kanfade
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| Crafting Impactful Resumes Strategies, Trends, and Innovations in Resume Building for Career Advancement | | Author : Prachi Kedar | Priyal Gandhi | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :As the initial communication between applicants and possible employers, a resume acts as a doorway to professional chances. Knowing successful resume building techniques is essential in a job market that is changing quickly due to technology breakthroughs. This paper explores key strategies, emerging trends, and innovations shaping modern resume building. By combining traditional techniques with innovative tools, professionals can create resumes that enhance their career prospects.Resumes have a significant impact on career paths in a competitive labor market. The development of resume building techniques has been driven by a globalized workforce, changing employer expectations, and technology breakthroughs. This essay analyzes cutting edge techniques for creating resumes that make an impression, looks at current trends like optimizing Applicant Tracking Systems ATS , and investigates new developments like visual storytelling and AI powered tools. It offers useful advice to help job searchers construct resumes that are in line with contemporary hiring procedures and make an impression in the digital age. Prachi Kedar | Priyal Gandhi | Prof. Usha Kosarkar "Crafting Impactful Resumes: Strategies, Trends, and Innovations in Resume Building for Career Advancement" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74907.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/74907/crafting-impactful-resumes-strategies-trends-and-innovations-in-resume-building-for-career-advancement/prachi-kedar
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| Building a Strong Digital Presence The Impact of Social Media Strategy on Free Aquas Brand Growth | | Author : Sojwal Jichkar | Karan Kale | Prof. Monica Chaudhary | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74908.pdf Paper URL: https://www.ijtsrd.com/management/marketing-management/74908/building-a-strong-digital-presence-the-impact-of-social-media-strategy-on-free-aquas-brand-growth/sojwal-jichkar
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| Advancement in Chronic Disease Management Innovative Approaches and Emerging Technologies | | Author : Subodh Tembhare | Sejal Shirbhaiyye | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :Chronic diseases, including diabetes, hypertension, cardiovascular diseases, and respiratory illnesses, have become significant public health challenges worldwide, impacting millions of individuals across diverse demographics. The management of these conditions typically requires long term care, monitoring, and lifestyle adjustments. Recent advancements in medical technologies, data analytics, and personalized healthcare have the potential to revolutionize chronic disease management. This research paper explores innovative approaches and emerging technologies that are shaping the future of chronic disease management. The paper examines technological innovations like wearable devices, telemedicine, artificial intelligence, and personalized medicine that are transforming patient care. Furthermore, it outlines the impact of these technologies on outcomes, challenges in their integration, and the future of chronic disease management. Subodh Tembhare | Sejal Shirbhaiyye | Prof. Anupam Chaube "Advancement in Chronic Disease Management: Innovative Approaches and Emerging Technologies" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74928.pdf Paper URL: https://www.ijtsrd.com/computer-science/artificial-intelligence/74928/advancement-in-chronic-disease-management-innovative-approaches-and-emerging-technologies/subodh-tembhare
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| Bridging the Gap Developing Sign Language System for the Deaf Communitys Better Understanding | | Author : Palak Badhe | Muskan Sahu | Prof. Anupam Chaube | | Abstract | Full Text | Abstract : Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74960.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/74960/bridging-the-gap-developing-sign-language-system-for-the-deaf-communitys-better-understanding/palak-badhe
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| A Comprehensive Analysis of Smart Video Conferencing in Professional Environments | | Author : Neha Shende | Naga Mounika Yaganti | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :Video conferencing tools have become essential in facilitating communication and collaboration across distances, especially in the digital era. This paper explores the development, features, and applications of video conferencing tools in key areas such as education, healthcare, business, and social interactions. The study highlights core functionalities, including real time audio visual communication, screen sharing, virtual backgrounds, and integration with other platforms, which have significantly improved productivity and engagement. It also addresses challenges such as internet dependency, security risks, and accessibility barriers, offering potential solutions to enhance user experience. By examining the role of video conferencing tools in enabling remote work, hybrid learning, and global connectivity, this research provides insights into their technological, social, and economic impacts. The findings aim to contribute to the development of more effective and inclusive communication technologies, shaping the future of remote and hybrid interactions. Neha Shende | Naga Mounika Yaganti | Prof. Anupam Chaube "A Comprehensive Analysis of Smart Video Conferencing in Professional Environments" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74909.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/74909/a-comprehensive-analysis-of-smart-video-conferencing-in-professional-environments/neha-shende
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| Crafting the Perfect Resume Insights, Strategies, and Trends for Effective Career Building | | Author : Laxmi Satpute | Prachi Narnaware | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :The Resume Builder Application is a modern tool designed for job seekers and recruiters, offering a comprehensive platform for creating, assessing, and matching resumes. It uses advanced natural language processing and machine learning to create personalized and visually appealing resumes. The user friendly design emphasizes significant abilities, experiences, and achievements. The application also provides dynamic templates and content optimization features to meet industry standards and attract recruiters attention. It offers a powerful candidate management solution, allowing recruiters to search and filter resumes based on specific specifications. The matching algorithm compares resumes to job descriptions for efficient shortlisting and alignment with company goals. The application prioritizes privacy and data security, ensuring users can control how their resumes are displayed. The application aims to provide actionable recommendations for job seekers, career counsellors, and hiring managers seeking to optimize the resume writing process. Laxmi Satpute | Prachi Narnaware | Prof. Usha Kosarkar "Crafting the Perfect Resume: Insights, Strategies, and Trends for Effective Career Building" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74913.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/74913/crafting-the-perfect-resume-insights-strategies-and-trends-for-effective-career-building/laxmi-satpute
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| Optimizing Career Development A Comprehensive Study on Effective Resume Building Strategies | | Author : Janvi Ghogale | Karishma Zade | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :In todays competitive job market, a well crafted resume serves as the crucial first impression for potential employers. This study delves into the critical role of resume building in optimizing career development. It explores key elements of a successful resume, including concise and impactful language, tailored content to specific job requirements, and the effective utilization of keywords to improve applicant tracking system ATS compatibility. The study also examines various resume formats, such as chronological, functional, and combination resumes, and their suitability for different career paths and professional experiences. Furthermore, it emphasizes the importance of proofreading, professional formatting, and seeking feedback to enhance resume quality and increase the chances of securing job interviews. By understanding and implementing these effective resume building strategies, job seekers can significantly improve their employability and achieve their career goals.Achieving professional success requires optimizing career development, especially for recent graduates who frequently find it difficult to successfully showcase their qualifications in a competitive employment market. The resumes, which represents a persons experience, education, and abilities, is an essential part of career growth. However, a lack of practical experience and unclear resume design and content organization make it difficult for many job searchers, particularly recent grads, to create resumes that have an impression.The importance of resume creation in career development and the main areas of attention within the study of Optimizing Career Development are highlighted in this abstract, which offers a succinct summary of the research topic. Janvi Ghogale | Karishma Zade | Prof. Anupam Chaube "Optimizing Career Development: A Comprehensive Study on Effective Resume Building Strategies" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74910.pdf Paper URL: https://www.ijtsrd.com/management/other/74910/optimizing-career-development-a-comprehensive-study-on-effective-resume-building-strategies/janvi-ghogale
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| Ensuring Women’s Safety Development of a Women Only Cab App with Real Time Tracking for Parental Monitoring | | Author : Priya Tiwari | Siya Tiwari | Poonam Kale | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :Ensuring womens safety in public transportation remains a critical concern, prompting the need for innovative and technology driven solutions. This project focuses on the development of a women only cab application that prioritizes safety through real time tracking and parental monitoring features. The app is designed to provide a secure and reliable travel experience by allowing users to share their ride details with trusted contacts, ensuring continuous monitoring throughout the journey. Key features include GPS based real time tracking, emergency alert systems, ride verification through OTP, driver authentication, and route optimization for safer travel. Additionally, the app incorporates an AI driven risk assessment system that analyzes travel patterns to identify potential safety threats and suggest alternative routes. The inclusion of a panic button, two way communication between passengers and emergency contacts, and periodic check ins further enhance user safety. By leveraging advanced technologies such as artificial intelligence, cloud computing, and data encryption, this application aims to empower women with greater mobility, independence, and peace of mind. The proposed solution not only addresses security challenges faced during solo or late night travels but also fosters a safer and more inclusive public transportation system, encouraging more women to embrace independent travel with confidence. Priya Tiwari | Siya Tiwari | Poonam Kale | Prof. Anupam Chaube "Ensuring Women’s Safety: Development of a Women-Only Cab App with Real-Time Tracking for Parental Monitoring" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74911.pdf Paper URL: https://www.ijtsrd.com/computer-science/other/74911/ensuring-women’s-safety-development-of-a-womenonly-cab-app-with-realtime-tracking-for-parental-monitoring/priya-tiwari
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| Designing a Secure Transport Solution Women Only Cab App with Enhanced Safety Features for Parents | | Author : Ritik Bopche | Pratik Sonekar | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :The increasing concerns regarding womens safety in public transportation have necessitated the development of innovative and secure mobility solutions. This study focuses on designing a women only cab app with enhanced safety features, specifically addressing the concerns of both female passengers and their guardians. The proposed solution integrates advanced safety mechanisms such as real time GPS tracking, emergency alert systems, driver verification protocols, and AI driven threat detection to ensure a secure travel environment. Additionally, the app offers parental monitoring features, allowing guardians to track ride progress, receive instant notifications, and access driver credentials, fostering trust and peace of mind. The cab service is designed to cater to the specific transportation needs of women, prioritizing convenience, security, and reliability. The research evaluates the systems effectiveness based on key performance indicators such as ride safety, app usability, response time, and user satisfaction. Through a user centered approach, this study aims to provide a comprehensive transport solution that empowers women with safe and reliable mobility options while addressing the apprehensions of concerned parents. The app leverages cutting edge technology, including artificial intelligence and data encryption, to safeguard user information and ensure a seamless experience. By implementing rigorous driver screening processes and fostering a community driven approach, the app aims to create a trusted ecosystem for women travelers. The findings of this research highlight the importance of integrating safety first transportation solutions to address the unique challenges faced by women and their families. This initiative not only enhances personal security but also contributes to fostering a sense of independence and empowerment among women, making transportation safer and more accessible. Ritik Bopche | Pratik Sonekar | Prof. Anupam Chaube "Designing a Secure Transport Solution: Women-Only Cab App with Enhanced Safety Features for Parents" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74912.pdf Paper URL: https://www.ijtsrd.com/computer-science/other/74912/designing-a-secure-transport-solution-womenonly-cab-app-with-enhanced-safety-features-for-parents/ritik-bopche
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| Innovative Approaches in Veterinary Medicine The Role of Data Management in Animal Registration and Care | | Author : Lalu Gaygaye | Vedant Kedar | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :The era of medicine is transformative drivers include advances in technology, interdisciplinarity, and growing attention to animal welfare and sustainability. Diagnostic, therapeutic, and preventive strategies are being transformed with innovative approaches that include precision medicine, telehealth, regenerative therapies, and artificial intelligence AI . Precision medicine links genetic profiling with advanced diagnostic tools to tailor treatments toward individual animals in order to achieve optimized outcomes while minimizing side effects. Telemedicine allows for remote consultations and monitoring, which improves access to veterinary care, especially in underserved areas. Lalu Gaygaye | Vedant Kedar | Prof. Anupam Chaube "Innovative Approaches in Veterinary Medicine: The Role of Data Management in Animal Registration and Care" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74914.pdf Paper URL: https://www.ijtsrd.com/computer-science/other/74914/innovative-approaches-in-veterinary-medicine-the-role-of-data-management-in-animal-registration-and-care/lalu-gaygaye
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| Transforming Healthcare Developing an Online Platform for Medical Emergency Response and Assistance | | Author : Tinu Masirkar | Aachal Bansod | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :The immense progress made in Artificial Intelligence and online platforms has dramatically transformed healthcare, especially regarding medical emergency response and daily health management. AI based systems give people real time symptom analysis automated triage and efficient resource allocation to ensure timely medical interventions while assisting people in maintaining general health and well being. This paper discusses how AI integrated healthcare solutions improve diagnostic accuracy, optimize accessibility in healthcare and revolutionize the delivery of medical care through predictive analytics and IoT enabled monitoring devices. This study is also important in that it underscores AI as playing a crucial role in emergency response delay mitigation, proactive health management and effective patient provider interaction enhancement. It also highlighted the challenges and prospects for AI driven healthcare solutions redefining modern health care systems. Tinu Masirkar | Aachal Bansod | Prof. Usha Kosarkar "Transforming Healthcare: Developing an Online Platform for Medical Emergency Response and Assistance" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74925.pdf Paper URL: https://www.ijtsrd.com/computer-science/artificial-intelligence/74925/transforming-healthcare-developing-an-online-platform-for-medical-emergency-response-and-assistance/tinu-masirkar
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| A Step Towards Safer Journeys Developing a Women Only Cab Service with Comprehensive Tracking for Parent Notifications | | Author : Prishita Borkar | Karti Gaikwad | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :Women’s safety during transportation is a critical concern in todays society, prompting the need for innovative solutions that address these challenges. This study introduces an advanced women only cab service equipped with parental notification systems and enhanced safety features designed to ensure a secure travel experience for female passengers. The service operates exclusively with female drivers, fostering an environment of trust and comfort. Key safety features include real time GPS tracking, emergency alert buttons, and a two way communication system that connects the rider directly to both local authorities and designated emergency contacts. The parental notification system allows parents or guardians to receive real time updates about their daughter’s ride status, including pick up and drop off times as well as route changes. This feature not only provides peace of mind but also enables immediate action in case of any irregularities during the journey. By integrating technology into transportation services tailored for women, this initiative aims to enhance personal security while encouraging greater independence among female riders. Moreover, it seeks to contribute positively toward societal perceptions regarding womens mobility in public spaces by promoting safe commuting practices.This paper explores user feedback on these safety mechanisms through surveys and interviews conducted with participants who have utilized the service. Initial findings demonstrate increased levels of comfort and reduced anxiety among users when utilizing this dedicated mode of transportation compared to traditional options. Overall, the implementation of women’s safe cabs featuring parental notifications represents a significant step forward in addressing transport related gender disparities while empowering women through improved mobility options rooted firmly in their safety needs. Prishita Borkar | Karti Gaikwad | Prof. Anupam Chaube "A Step Towards Safer Journeys: Developing a Women-Only Cab Service with Comprehensive Tracking for Parent Notifications" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74915.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/74915/a-step-towards-safer-journeys-developing-a-womenonly-cab-service-with-comprehensive-tracking-for-parent-notifications/prishita-borkar
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| CloudFileHub Revolutionizing File Storage and Management with Advanced cloud Technology | | Author : Rutuja Kamble | Samruddhi Ramteke | Prof. Poonam Kale | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :CloudFileHub signifies a new era in cloud technology and brings forth a new standard in data management in the world of technology. It combines accessibility, security, and efficiency to provide a complete solution to the modern challenges faced in file storage. Further, as the world keeps developing, CloudFileHub is expected to adopt new technologies like AI and Blockchain which enhance its modern day capabilities and propels future towards an era of advanced and secure data management. CloudFileHub is the world’s most innovating platform that utilizes highly advanced cloud technology to develop the future of file storage and management. With its immense datacentre’s, it offers the first master key that aims to resolve the challenges faced in traditional storage systems, which involves Limited scalability, accessibility hurdles, and poor security. CloudFileHub enables users to file their documents from any corner of the world on every device which caters seamless access to CloudFileHub for people and businesses. Also, with the help of their modern mastery design and AI powered interface, CloudFileHub emphasizes more on their core principles rather than worrying about data storage and security issues. The stand out feature of CloudFileHub is its real time collaboration feature that empowers teams to edit files in sync. Rutuja Kamble | Samruddhi Ramteke | Prof. Poonam Kale | Prof. Anupam Chaube "CloudFileHub - Revolutionizing File Storage and Management with Advanced cloud Technology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74916.pdf Paper URL: https://www.ijtsrd.com/computer-science/database/74916/cloudfilehub--revolutionizing-file-storage-and-management-with-advanced-cloud-technology/rutuja-kamble
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| The Future of File Management Leveraging CloudFileHub for Efficient Storage Solutions | | Author : Rajratna Bodade | Samyak Bhongade | Prof. Poonam Kale | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :Today, the digital age has established file management as basic principle for all operations and personal data management. There is a need for advanced file systems, owing to the size complexity and security implications in dealing with large data sets. Most traditional hardware based solutions have difficulty fulfilling the needs in scalability, security and accessibility that modern workflows require. In response to the deficiency CloudFileHub clawed their name with a cloud based solution like CloudFileHub file management to make it robust, secure and scalable. This paper discusses the evolution from traditional file management systems to cloud based ones, explains the dominant role of CloudFileHub in this evolution and how it overcomes some key problems such as remote access, security and expenses. Future prospects of CloudFileHub are presented and the perspective on how this can be paired with upcoming tech such as AI and blockchain to improve file management process is also discussed. The paper also shares learnings on how to overcome challenges for the adoption of CloudFileHub, the obstacles and remedies. Rajratna Bodade | Samyak Bhongade | Prof. Poonam Kale | Prof. Anupam Chaube "The Future of File Management: Leveraging CloudFileHub for Efficient Storage Solutions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74922.pdf Paper URL: https://www.ijtsrd.com/computer-science/database/74922/the-future-of-file-management-leveraging-cloudfilehub-for-efficient-storage-solutions/rajratna-bodade
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| Optimizing File Management in the Cloud A Case Study of CloudFileHub | | Author : Rajat Randai | Sahil Wasnik | Prof. Poonam Kale | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :This paper studies file management in the cloud by describing in detail the case study of CloudFileHub which is one of the top players in the field of cloud computing. Findings from this research illustrate both the difficulty and opportunity of cloud file management, offering an overview for scalability, data security and cost effectiveness. CloudFileHub has innovated by creating novel solutions using superior technologies like AI ML and blockchain, to offer improved user experience and business efficiency. In this study, the technical integrations are analysed to understand the capability of such implementations in solving common problems such as version control, file deduplication and access management.As the new paradigm of remote work and global collaboration drive increasing dependency on cloud platforms, enterprise need nimble, resilient file management. The approach offered at CloudFileHub demonstrates a good model for advanced system architectures making them more user centric and satisfying organizational needs over time. The paper also raises the economic and eco system implications of cloud commission, which people cited sustainable data center operations. The results from this research provide evidence based recommendations on enhancing file management and provide further a body of work into the disruptive power shifted cloud computing has in the modern IT infrastructures. Rajat Randai | Sahil Wasnik | Prof. Poonam Kale | Prof. Anupam Chaube "Optimizing File Management in the Cloud: A Case Study of CloudFileHub" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74923.pdf Paper URL: https://www.ijtsrd.com/computer-science/database/74923/optimizing-file-management-in-the-cloud-a-case-study-of-cloudfilehub/rajat-randai
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| Optimizing Professional Communication Real Connect as a Tool for Real Time Collaboration | | Author : Kashish Mutkure | Bhagyashree Naigaonkar | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :Overcoming differences in language and cultural backgrounds has become an increasingly important issue in a globalized workforce. In this practical paper, we introduce Real Connect, an interactive, real time collaboration application that combines state of the art speech recognition and NLP methods to enable instantaneous translation and generation of live subtitles during virtual conversations. Its goal is to make the platform more accessible and inclusive by enabling seamless participation across linguistic boundaries and empowering participants with different native languages. The analysis reveals that Real Connect significantly outperforms existing text analysis approaches and implies its potential for corpus analysis and team centred decision making. This research highlights the innovative forces that shape overall types in these domain areas and how it fundamentally reshapes the communication paradigm in the industry through hands on use cases based on feedback and user stories. In todays work environment, cooperation, productivity, and organizational success all depend on efficient communication. Real Connect is a powerful tool for real time cooperation and signifies a paradigm leap in professional communication optimization. Teams can use real time communication tools to bridge geographical distances, streamline decision making, and improve cross functional collaboration. This abstract examines how Real Connect solutions enhance efficiency, innovation, and engagement by promoting instant connectivity, fostering transparency, and integrating a variety of expertise. These tools also allow remote teams to work together easily, give constant feedback, and instantly adjust to changing project requirements. A more flexible, effective, and cohesive workplace where communication barriers are reduced and collaboration speed is increased is the end result. Kashish Mutkure | Bhagyashree Naigaonkar | Prof. Anupam Chaube "Optimizing Professional Communication Real Connect as a Tool for Real-Time Collaboration" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74924.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/74924/optimizing-professional-communication-real-connect-as-a-tool-for-realtime-collaboration/kashish-mutkure
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| E Health Solutions for Medical Emergencies A Framework for Accessibility and Efficiency | | Author : Anjali Patalbansi | Pranav Rathod | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :The convergence of technology and healthcare has paved the way for transformative solutions addressing both emergency medical needs and daily health management. However, traditional systems often struggle with delays, inefficiencies, and a lack of personalized care. This paper proposes an AI powered e health platform designed to cater to diverse health needs real time assistance during medical emergencies, guidance for maintaining fitness, and daily health monitoring. The platform integrates machine learning ML with a Flask based architecture, allowing for real time symptom analysis, automated triage, and tailored recommendations. It provides actionable insights such as diet plans, medications, workout routines, and precautions. This dual purpose framework serves as a preventive tool for fitness enthusiasts and a life saving assistant during emergencies. Its accessibility and user centric design make it a robust solution for empowering individuals to take control of their health, ensuring optimal well being in every condition. Anjali Patalbansi | Pranav Rathod | Prof. Usha Kosarkar "E-Health Solutions for Medical Emergencies: A Framework for Accessibility and Efficiency" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74926.pdf Paper URL: https://www.ijtsrd.com/computer-science/artificial-intelligence/74926/ehealth-solutions-for-medical-emergencies-a-framework-for-accessibility-and-efficiency/anjali-patalbansi
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| Online Availability for Medical Emergencies Challenges, Opportunities and Future Directions | | Author : Palak Chauhan | Mangesh Agone | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :Online platforms for the management of daily health and emergency services have gained increased attention over the past few years. Such platforms need faster access to services and tools to achieve fitness and well being. These systems exploit techniques like telemedicine, AI, wearable devices, and cloud based infrastructures to develop a real time support environment in which these systems can provide preventive health advice. However, data security and integrity, system scalability, and fair access will remain challenges. This paper presents the main challenges and opportunities that the online systems present to health and emergency management, presenting a framework for improvement of systems capturing, processing, and salting decision making phases. The metrics performance evaluation states system effectiveness and future directions toward innovation. Palak Chauhan | Mangesh Agone | Prof. Usha Kosarkar "Online Availability for Medical Emergencies: Challenges, Opportunities and Future Directions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74927.pdf Paper URL: https://www.ijtsrd.com/computer-science/artificial-intelligence/74927/online-availability-for-medical-emergencies-challenges-opportunities-and-future-directions/palak-chauhan
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| Advancing Horizons in Chronic Diseases Research Innovation Insights | | Author : Vaishnavi Watkar | Shivani Ayyagari | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :Technological development, including machine learning, has a huge impact on health through an effective analysis of various chronic diseases for more accurate diagnosis and successful treatment. In the field of biomedical and healthcare communities the accurate prediction plays the major role to find out the risk of the disease in the patient. The only way to overcome with the mortality due to chronic diseases is to predict it earlier so that the disease prevention can be done. Such model is a Patient’s need in which Machine Learning is highly recommendable. But the precise prediction on the basis of symptoms becomes too difficult for doctor. The correct prediction of disease is the most stretching task. To overcome this problem data mining plays an important role to predict the disease. We use Heart disease, Kidney disease, Cancer disease and Diabetes disease datasets, In order to build reliable prediction models for these chronic diseases using data mining techniques. The most relevant features are selected from the dataset for improved accuracy and reduced training time. The system analyzes the symptoms provided by the user as input and gives the probability of the disease as an output Disease by using, random forest and decision tree we are predicting diseases like Diabetes, Heart, Cancer and Kidney. For each chronic disease, diverse models, techniques, and algorithms are used for predicting and analyzing. The common prediction objective is to minimize the prediction error as low as possible. The final discussions of this paper are works in improving the prediction performance for chronic diseases using a data preprocessing handling. Vaishnavi Watkar | Shivani Ayyagari | Prof. Anupam Chaube "Advancing Horizons in Chronic Diseases: Research Innovation Insights" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74929.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/74929/advancing-horizons-in-chronic-diseases-research-innovation-insights/vaishnavi-watkar
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| Advancement in Chronic Disease Management Unveiling New Frontiers in Diagnosis, Treatment and Prevention | | Author : Vedant Golait | Titu Tiwari | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :The rapid advancement in medical technologies has revolutionized the field of predictive healthcare, enabling the development of sophisticated systems that integrate diverse data types to enhance diagnostic accuracy. This paper presents a novel hybrid medical prediction system that synergistically combines deep learning based image analysis and traditional medical data processing techniques to deliver accurate multi modal diagnostic predictions.The proposed system leverages the strengths of Convolutional Neural Networks CNNs and Natural Language Processing NLP techniques to synthesize insights from medical images, structured data, and textual information. Specifically, ResNet 18 is employed for feature extraction from medical images, while term frequency inverse document frequency TF IDF vectorization is utilized for processing structured and textual data.By integrating CNNs with NLP techniques, the system forms a robust architecture capable of identifying complex relationships between diverse data modalities. This multi modal approach not only enhances diagnostic accuracy but also streamlines clinical workflows, offering significant potential in predictive healthcare systems.The proposed hybrid medical prediction system has far reaching implications for the field of healthcare, enabling clinicians to make more informed decisions, improving patient outcomes, and reducing healthcare costs. Future research directions include exploring the application of this system to various medical specialties and investigating the use of other deep learning architectures to further enhance diagnostic accuracy. Vedant Golait | Titu Tiwari | Prof. Anupam Chaube "Advancement in Chronic Disease Management: Unveiling New Frontiers in Diagnosis, Treatment & Prevention" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74930.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/74930/advancement-in-chronic-disease-management-unveiling-new-frontiers-in-diagnosis-treatment-and-prevention/vedant-golait
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| Regulating the Exchange of Unused Medicines The Role of Pharma Exchange in Improving Medicine Accessibility | | Author : Dnyanda Waghmare | Akash Kanojiya | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :Waste reduction, cost reduction, and improved access to healthcare worldwide may all be achieved by the redistribution of unneeded medications. This study investigates the function of Pharma Exchange, a fictitious website intended to make it easier for people to safely and responsibly trade their unneeded medications. In order to determine how such a platform could overcome obstacles to pharmaceutical redistribution while maintaining safety and efficacy, the article examines regulatory frameworks, ethical issues, and logistical difficulties. The results emphasize the substantial economic and public health advantages of establishing Pharma Exchange, underscoring the necessity of creative policies to enable the sustainable and profitable exchange of unused medications on a worldwide bassRedistributing unwanted drugs could help with the worlds most pressing problems with economic inefficiencies, environmental sustainability, and healthcare accessibility. Prescription drug waste amounts to millions of dollars per year as a result of misdiagnosis, prescription adjustments, or improvements in health. Global health disparities are exacerbated by the significant pharmaceutical shortages that low income areas face at the same time. To close these disparities, the suggested platform, Pharma Exchange, seeks to offer a regulated, open, and moral system for the redistribution of unneeded medications.This study explores the logistical, ethical, and regulatory obstacles related to pharmaceutical redistribution in order to determine the viability and benefits of putting such a platform into place. Using a mixed method research technique, the study incorporates qualitative information from global regulatory.Among the main issues noted are the absence of standardized international rules, which frequently label unneeded pharmaceuticals as waste, and the requirement to guarantee the security and legitimacy of medications that are redistributed. The study emphasizes how important cutting edge technologies like blockchain and artificial intelligence are to overcome these obstacles because they offer transparent supply chain monitoring that is safe.Along with a roughly 30 decrease in pharmaceutical waste, the platform might lower treatment costs by up to 20 and improve accessibility for 40 of disadvantaged populations. Adoption of Pharma Exchange also helps to reduce pollution from inappropriate drug disposal, which is in line with global sustainability goals.The report concludes by highlighting the necessity of global cooperation between technology developers, healthcare professionals, and legislators in order to establish uniform frameworks. Dnyanda Waghmare | Akash Kanojiya | Prof. Anupam Chaube "Regulating the Exchange of Unused Medicines: The Role of Pharma Exchange in Improving Medicine Accessibility" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74931.pdf Paper URL: https://www.ijtsrd.com/medicine/other/74931/regulating-the-exchange-of-unused-medicines-the-role-of-pharma-exchange-in-improving-medicine-accessibility/dnyanda-waghmare
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| Quick Mart Revolutionizing the Second Hand Marketplace with Smart Solutions | | Author : Shreya Kable | Swapnali Badole | Prof. Usha Kosharkar | | Abstract | Full Text | Abstract :Quick Mart is transforming the second hand marketplace by integrating advanced technology solutions that enhance both the buyer and seller experience. The platform utilizes real time inventory tracking to maintain up to date product availability, which reduces wait times and ensures users are always informed of new or restocked items. This feature enables seamless listing management for sellers while providing buyers with timely notifications. Additionally, Quick Mart employs AI powered personalized recommendations, analyzing user behavior and purchase history to deliver tailored product suggestions. This increases customer engagement, retention, and satisfaction, creating a more intuitive and efficient shopping experience. Trust and transparency are foundational to the platform, as Quick Mart incorporates verified seller systems and transparent review features that help users make informed purchasing decisions. By providing a secure and reliable marketplace, Quick Mart ensures that both buyers and sellers can engage in trustworthy transactions. Sustainability is another key aspect of Quick Mart’s mission, as it promotes the reuse, recycling, and upcycling of goods, aligning with the circular economy. Through educational initiatives and eco friendly practices, Quick Mart encourages users to make environmentally responsible choices. By combining innovative technology and sustainable practices, Quick Mart is setting a new standard in the second hand marketplace, offering a platform that is efficient, reliable, and environmentally conscious for both consumers and the planet. Shreya Kable | Swapnali Badole | Prof. Usha Kosharkar "Quick Mart: Revolutionizing the Second-Hand Marketplace with Smart Solutions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74939.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/74939/quick-mart-revolutionizing-the-secondhand-marketplace-with-smart-solutions/shreya-kable
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| Smart Marketplaces for Used Goods Insights from the Quick Mart Platform | | Author : Snehal Dhumane | Pallavi Jaipulkar | Prof. Usha Kosharkar | | Abstract | Full Text | Abstract :Smart Marketplaces for Used Goods Insights from the Quick Mart Platform explores how Quick Mart is reshaping the retail landscape by reimagining second hand commerce with a cutting edge platform. By leveraging smart technologies, including AI driven pricing algorithms, real time inventory tracking, and secure transaction systems, Quick Mart transforms the buying and selling experience for both new and pre owned goods. The platform introduces unique features such as personalized recommendations, dynamic pricing models, and robust quality assurance protocols to foster trust and transparency. Committed to sustainability and the circular economy, Quick Mart offers a user centric interface that empowers consumers to make eco conscious decisions. By addressing the limitations of traditional second hand marketplaces, Quick Mart sets new industry standards, creating a seamless and reliable ecosystem for smart commerce. Snehal Dhumane | Pallavi Jaipulkar | Prof. Usha Kosharkar "Smart Marketplaces for Used Goods: Insights from the Quick Mart Platform" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74940.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/74940/smart-marketplaces-for-used-goods-insights-from-the-quick-mart-platform/snehal-dhumane
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| Leveraging Technology for Vaccination Management A Detailed Study of VaxHub’s Approach | | Author : Tanishq Prajapati | Shreya Prajapati | Prof. Usha Kosharkar | | Abstract | Full Text | Abstract :This study explores the role of technology in enhancing vaccination management, with a focus on VaxHub, a digital platform designed to streamline vaccine distribution, tracking, and administration. As global health challenges, including pandemics, demand efficient and scalable vaccination efforts, VaxHub’s approach offers valuable insights into how technology can address logistical hurdles, improve access, and ensure timely delivery. By leveraging features such as real time data analytics, appointment scheduling, and inventory management, VaxHub facilitates smoother coordination between healthcare providers, governments, and the public. This paper examines the platform’s impact on vaccination rates, its ability to address disparities in healthcare access, and its potential to serve as a model for future vaccination campaigns worldwide. The findings suggest that technological solutions like VaxHub are pivotal in modernizing healthcare systems and ensuring effective vaccine distribution during public health emergencies. Tanishq Prajapati | Shreya Prajapati | Prof. Usha Kosharkar "Leveraging Technology for Vaccination Management: A Detailed Study of VaxHub’s Approach" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74944.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/74944/leveraging-technology-for-vaccination-management-a-detailed-study-of-vaxhub’s-approach/tanishq-prajapati
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| Reimagining Second Hand Commerce The Quick Mart Innovation | | Author : Vedant Chopkar | Siddhesh Bhure | Prof. Usha Kosharkar | | Abstract | Full Text | Abstract :Quick Mart is revolutionizing the retail sector by transforming second hand commerce into a seamless, innovative, and sustainable experience. Leveraging cutting edge technology, the platform integrates AI driven pricing algorithms to ensure competitive and fair pricing, real time inventory tracking for instant updates, and secure transaction systems to guarantee smooth and reliable exchanges. It goes beyond conventional marketplaces with standout features such as personalized recommendations tailored to individual preferences, dynamic pricing models that adapt to market conditions, and rigorous quality assurance protocols that establish trust and transparency. The platform’s commitment to sustainability aligns with the principles of the circular economy, encouraging consumers to make eco conscious choices by extending the lifecycle of goods. Quick Mart’s user centric interface simplifies the process of buying and selling new and pre owned items, breaking down barriers in traditional second hand markets. By setting new benchmarks for efficiency, trust, and innovation, Quick Mart is reshaping the future of commerce and fostering a more sustainable retail landscape. Vedant Chopkar | Siddhesh Bhure | Prof. Usha Kosharkar "Reimagining Second-Hand Commerce: The Quick Mart Innovation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74941.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/74941/reimagining-secondhand-commerce-the-quick-mart-innovation/vedant-chopkar
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| Fostering Originality in Academia The Impact of Originality Guard on Plagiarism Prevention | | Author : Kinchit V. Kawade | Khushi P. Joshi | Smita Muley | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :In todays digital landscape, the proliferation of information has made academic dishonesty, particularly plagiarism, a rampant issue. This unethical practice not only undermines the validity of scholarly work but also stifles innovation, creativity, and authentic thought. To address this concern, Originality Guard has been developed as a cutting edge plagiarism detection and reporting solution. This innovative tool accurately identifies duplicated content, promoting originality and integrity in academic and professional pursuits. By utilizing Originality Guard, individuals can ensure the authenticity of their work, while educators and institutions can maintain the highest standards of academic integrity. Kinchit V. Kawade | Khushi P. Joshi | Smita Muley | Prof. Usha Kosarkar "Fostering Originality in Academia: The Impact of Originality Guard on Plagiarism Prevention" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74948.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/74948/fostering-originality-in-academia-the-impact-of-originality-guard-on-plagiarism-prevention/kinchit-v-kawade
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| Interactive Audio Technologies for the Blind The Case of VISIONary News | | Author : Atharva Lingayat | Aditya Sathyan | Prof. Usha Kosharkar | | Abstract | Full Text | Abstract :This review delves into the evolution and transformative impact of interactive audio technologies specifically designed for the blind and visually impaired. With a particular focus on VISIONary News—a pioneering platform in accessible media—this paper integrates findings from cutting edge research, technological advancements, and user centered design principles. By analyzing the efficacy of these innovations, it highlights their potential to address critical gaps in accessibility and foster greater inclusivity. The discussion extends to societal implications, exploring how such technologies can democratize information access, promote independent living, and enhance civic participation for visually impaired individuals. Furthermore, the abstract underscores the necessity of addressing persistent challenges—including cost, scalability, and usability—to fully harness the potential of these advancements in creating equitable and participatory ecosystems. Atharva Lingayat | Aditya Sathyan | Prof. Usha Kosharkar "Interactive Audio Technologies for the Blind: The Case of VISIONary News" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74942.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/74942/interactive-audio-technologies-for-the-blind-the-case-of-visionary-news/atharva-lingayat
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| Revolutionizing Music Streaming An In Depth Analysis of Seamless Sounds Impact and Integrated User Experience | | Author : Akash Singh | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract : Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74958.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/74958/revolutionizing-music-streaming-an-indepth-analysis-of-seamless-sounds-impact-and-integrated-user-experience/akash-singh
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| Visionary News A Voice Interactive Solution for Accessible News Delivery to the Visually Impaired | | Author : Bhumika Shingade | Anushka Chaudhary | Prof. Usha Kosharkar | | Abstract | Full Text | Abstract :Information access is a basic right, but visually impaired people usually have great difficulties accessing news through the conventional means. To overcome this challenge, Visionary News A Voice Interactive Solution for Accessible News Delivery to the Visually Impaired introduces a revolutionary, voice based platform that delivers real time and personalized news content. The solution takes advantage of the latest advancements in artificial intelligence, voice recognition, and natural language processing to develop an easy to use and user friendly system that enables visually impaired users to access news without any hassle.The site offers a variety of capabilities, such as voice guided navigation, multi lingual capabilities, and adaptive content presentation based on personal preferences. By combining these technologies, Visionary News guarantees an accessible experience that supports autonomy and accessibility with less dependence on assistive devices or third party aid. The system further focuses on context sensitivity in interaction to allow users to easily access information, whether breaking news, specialized knowledge, or detailed reports.Besides meeting the functional requirements of the visually impaired, this solution also supports overarching societal objectives through social inclusion and narrowing the digital information accessibility gap. Visionary News illustrates how technology can be used to develop inclusive opportunities for marginalized communities, allowing them to remain informed and active participants in global discussions.This essay brings to the fore the design, development, and potential influence of Visionary News, illustrating its nature as a revolutionary accessible news delivery tool. With its emphasis on user centered innovation, it paves the way for future breakthroughs in assistive technology, proving the significance of inclusive design during the digital age.updates on varied topics using just voice commands. It features customization options, which enable users to set content preferences in a particular category, for example, politics, sports, health, or entertainment. The platform further provides the likes of voice navigation, customized news summaries, and the capability to bookmark or revisit stories.Visionary News seeks to overcome barriers to information accessibility through an innovative, hands free experience. Its user oriented approach provides an easy means for the visually impaired to be informed, empowering them with information and enabling greater inclusivity in todays digital society. Bhumika Shingade | Anushka Chaudhary | Prof. Usha Kosharkar "Visionary News: A Voice-Interactive Solution for Accessible News Delivery to the Visually Impaired" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74943.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/74943/visionary-news-a-voiceinteractive-solution-for-accessible-news-delivery-to-the-visually-impaired/bhumika-shingade
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| A Comprehensive Approach to Vaccinatiom Information Management Insights from VaxHub | | Author : Tanmayi Meshram | Vanshika Mahato | Prof. Usha Kosharkar | | Abstract | Full Text | Abstract :Vaccination is a cornerstone of public health, and efficient management of vaccination data is crucial for ensuring equitable and timely access to vaccines. This paper explores a comprehensive approach to vaccination information management, drawing insights from the innovative platform, VaxHub. VaxHub provides a centralized digital system designed to streamline the collection, analysis, and distribution of vaccination related information. By leveraging technology, VaxHub enhances data accuracy, accessibility, and real time tracking, facilitating better decision making for public health authorities, healthcare providers, and the general public. This approach addresses common challenges such as data fragmentation, misinformation, and inconsistent reporting, offering a model for more effective vaccination campaigns. The paper examines VaxHubs features, including data security protocols, user engagement strategies, and integration with global health systems. It also highlights the potential for scaling this model in low resource settings, emphasizing the importance of a holistic, data driven approach to vaccination information management in the fight against preventable diseases. Tanmayi Meshram | Vanshika Mahato | Prof. Usha Kosharkar "A Comprehensive Approach to Vaccinatiom Information Management: Insights from VaxHub" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74945.pdf Paper URL: https://www.ijtsrd.com/management/other/74945/a-comprehensive-approach-to-vaccinatiom-information-management-insights-from-vaxhub/tanmayi-meshram
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| Improving Vaccination Efficiency A Study on VaxHub’s Digital Tracking System | | Author : Tushar Mohod | Tejas Dhengre | Prof. Usha Kosharkar | | Abstract | Full Text | Abstract :In the wake of global health challenges, improving vaccination efficiency has become a critical goal for healthcare systems worldwide. This study, titled “Improving Vaccination Efficiency A Study on VaxHub’s Digital Tracking System,” examines how digital tracking technologies can enhance vaccine distribution and administration processes. VaxHub, a state of the art digital tracking system, offers an integrated platform that automates various aspects of the vaccination workflow, including patient registration, appointment scheduling, inventory management, and real time data monitoring. The study explores how VaxHub’s system leverages digital tools such as QR code based checkins, cloud based data storage, and automated reporting to minimize human errors and streamline operations. By reducing paperwork and manual data entry, the system not only enhances operational efficiency but also improves patient experiences by reducing wait times and ensuring timely vaccine administration. Additionally, real time dashboards provide healthcare providers with valuable insights into vaccine inventory levels, patient attendance trends, and potential bottlenecks in the system, enabling proactive decision making.The study explores how VaxHub’s system leverages digital tools such as QR code based checkins, cloud based data storage, and automated reporting to minimize human errors and streamline operations. A comprehensive evaluation is conducted using qualitative and quantitative methods, including surveys, interviews, and data analytics. The findings highlight the effectiveness of VaxHub in addressing common challenges faced by traditional vaccination systems, such as inefficiencies in patient flow management, vaccine wastage, and data security concerns. Tushar Mohod | Tejas Dhengre | Prof. Usha Kosharkar "Improving Vaccination Efficiency: A Study on VaxHub’s Digital Tracking System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74946.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/74946/improving-vaccination-efficiency-a-study-on-vaxhub’s-digital-tracking-system/tushar-mohod
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| Vehiclelogix Managing Vehicle Data for Accurate Future Valuations | | Author : Parth Nakhate | Prashant Kashyap | Prof. Usha Kosharkar | | Abstract | Full Text | Abstract :The automotive industry has long relied on traditional methods for valuing vehicles, including factors like age, mileage, and market demand. However, these conventional approaches often fail to account for the complex, dynamic factors that influence vehicle prices. With the advent of new technologies, including telematics, big data analytics, and machine learning, a paradigm shift is occurring in how vehicles are appraised. One such innovation is Vehiclelogix, an advanced platform designed to optimize vehicle data management for the purpose of providing accurate, data driven future valuations.This paper explores the role of Vehiclelogix in revolutionizing vehicle valuation by leveraging a vast array of data sources, from real time telematics and vehicle maintenance records to market conditions and consumer preferences. The system uses predictive analytics powered by machine learning algorithms to forecast how a vehicle’s value will evolve over time, thus offering a more precise and dynamic valuation model compared to traditional methods. By integrating historical data, market trends, regional preferences, and vehicle specific attributes such as make, model, condition, and technology , Vehiclelogix enables more reliable vehicle pricing across various contexts, including dealerships, insurance companies, and consumer sales.The paper further examines the challenges associated with data quality, privacy concerns, and the complexity of implementing such systems on a large scale. It also addresses the potential impact of Vehiclelogix on the automotive industry’s pricing strategies, particularly in a market driven by technological advancements such as electric vehicles EVs , autonomous driving technologies, and increasingly sustainable automotive solutions. By providing a comprehensive review of Vehiclelogix’s system architecture, case studies, and real world applications, this research highlights its potential to transform vehicle valuation, enhancing transparency and accuracy in an ever evolving market.Through this analysis, the paper discusses the broader implications of integrating predictive analytics into vehicle pricing, suggesting that the future of automotive valuation will be increasingly influenced by data driven approaches that account for an array of interconnected factors. In conclusion, Vehiclelogix exemplifies how digital technologies can significantly improve the valuation process, offering a forward looking solution to a key challenge in the automotive industry. Parth Nakhate | Prashant Kashyap | Prof. Usha Kosharkar "Vehiclelogix: Managing Vehicle Data for Accurate Future Valuations" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74947.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/74947/vehiclelogix-managing-vehicle-data-for-accurate-future-valuations/parth-nakhate
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| The Role of AI in Shaping the Future of Cybersecurity Education A Case Study on AI CyberAcademy | | Author : Rajat Bhatpahare | Tejasvi Chaudhay | Prof. Shubhra Chinchmalatpure | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :The rapid evolution of cyber threats, fueled by advancements in technology, has underscored the urgent need for innovative approaches to cybersecurity education. Traditional methods of training cybersecurity professionals often fail to keep pace with the dynamic nature of these threats. Artificial Intelligence AI presents a transformative opportunity to reshape cybersecurity education, offering personalized, adaptive, and scalable learning experiences. This paper explores the role of AI in advancing cybersecurity education through a case study of AI CyberAcademy, an innovative educational platform designed to address the growing demand for skilled cybersecurity professionals.The study highlights how AI driven tools, such as machine learning algorithms, virtual assistants, and simulation environments, empower learners to engage with real world scenarios, fostering critical problem solving skills. The AI CyberAcademy leverages intelligent systems to deliver personalized learning paths, real time feedback, and automated assessments, thereby enhancing both the efficiency and effectiveness of the educational process. Through its adaptive curriculum, the platform provides learners with hands on experience in threat detection, incident response, and vulnerability analysis, bridging the gap between theoretical knowledge and practical application. Rajat Bhatpahare | Tejasvi Chaudhay | Prof. Shubhra Chinchmalatpure | Prof. Anupam Chaube "The Role of AI in Shaping the Future of Cybersecurity Education: A Case Study on AI CyberAcademy" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74953.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/74953/the-role-of-ai-in-shaping-the-future-of-cybersecurity-education-a-case-study-on-ai-cyberacademy/rajat-bhatpahare
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| Innovations in Cybersecurity Education The Role of AI Powered eLearning Platforms | | Author : Rohan Hedau | Smruti Hatwar | Prof. Shubhra Chinchmalatpure | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :The increasing complexity and frequency of cyber threats necessitate a robust approach to cybersecurity education. Innovations in this field are being significantly influenced by the integration of Artificial Intelligence AI into eLearning platforms. This abstract explores the transformative role of AI powered eLearning in enhancing cybersecurity education, addressing the challenges faced by traditional educational methods.AI technologies facilitate personalized learning experiences, allowing students to engage with content that matches their individual skill levels and learning paces. By leveraging data analytics, these platforms can identify knowledge gaps and adapt curricula accordingly, ensuring that learners receive targeted instruction. This adaptability is crucial in a field where the landscape of threats is constantly evolving.Moreover, AI can enhance the interactivity of learning modules through simulations and gamified environments. These immersive experiences not only increase engagement but also provide practical, hands on training that is essential for developing real world skills. For instance, learners can practice responding to simulated cyber incidents, thereby gaining valuable experience in a risk free setting.The role of AI in automating administrative tasks is another significant innovation. By streamlining processes such as grading and feedback, educators can focus more on teaching and mentoring students. This efficiency allows for a more dynamic learning environment where instructors can devote time to fostering critical thinking and problem solving skills.Furthermore, AI powered platforms can facilitate collaborative learning by connecting students with peers and industry professionals. This networking potential enriches the educational experience, providing learners with insights from diverse perspectives and enhancing their understanding of the cybersecurity landscape.In conclusion, the integration of AI into cybersecurity education through eLearning platforms represents a paradigm shift in how knowledge is imparted and skills are developed. By offering personalized, interactive, and efficient learning experiences, these innovations not only prepare students to tackle current cyber threats but also equip them with the adaptability needed for future challenges. As the demand for skilled cybersecurity professionals continues to rise, the role of AI in education will be pivotal in shaping the next generation of experts in this critical field. Rohan Hedau | Smruti Hatwar | Prof. Shubhra Chinchmalatpure | Prof. Usha Kosarkar "Innovations in Cybersecurity Education: The Role of AI-Powered eLearning Platforms" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74954.pdf Paper URL: https://www.ijtsrd.com/computer-science/computer-security/74954/innovations-in-cybersecurity-education-the-role-of-aipowered-elearning-platforms/rohan-hedau
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| Intelligent Learning in Cybersecurity Evaluating the AI CyberAcademy Model | | Author : Harsh Ramtekkar | Samarth Harshe | Prof. Shubhra Chinchmalatpure | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :The rapid advancement of technology and the increasing complexity of cyber threats necessitate innovative approaches to cybersecurity education. This paper evaluates the AI CyberAcademy, an intelligent learning platform designed to revolutionize how individuals and organizations acquire cybersecurity skills. Leveraging artificial intelligence, the platform offers personalized learning paths, real time simulations, and gamified challenges, enabling learners to develop both theoretical knowledge and practical expertise. Through adaptive algorithms, the AI CyberAcademy identifies knowledge gaps, provides targeted recommendations, and creates dynamic learning environments. Performance metrics, including learner engagement, knowledge retention, and skill acquisition, were analyzed to assess the platform’s effectiveness. The study also explores ethical considerations, such as data privacy and algorithmic fairness, ensuring the platform aligns with global cybersecurity and educational standards. This paper concludes with insights into the role of AI in shaping the future of cybersecurity education and highlights the potential of intelligent systems to address the global skills gap in this critical field. Harsh Ramtekkar | Samarth Harshe | Prof. Shubhra Chinchmalatpure | Prof. Anupam Chaube "Intelligent Learning in Cybersecurity: Evaluating the AI CyberAcademy Model" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74955.pdf Paper URL: https://www.ijtsrd.com/computer-science/computer-security/74955/intelligent-learning-in-cybersecurity-evaluating-the-ai-cyberacademy-model/harsh-ramtekkar
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| GarageLocator Bridging the Gap between Vehicle Owners and Local Auto Services with Real Time Technology | | Author : Ayush Mhaiskar | Prof. Shubhra Chinchmalatpure | Ujjwal Shukla | Prof. Smita Muley | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :In todays fast paced world, personal vehicles have become a cornerstone of daily life, underscoring the need for seamless access to trustworthy auto repair and maintenance services. GarageLocator is a cutting edge platform designed to bridge the gap between vehicle owners and local auto service providers, harnessing the power of real time technology. The platform employs advanced location based services, allowing users to identify nearby garages and service centers tailored to their specific needs. By integrating features such as service ratings, customer reviews, pricing comparisons, and instant appointment bookings, GarageLocator empowers vehicle owners to make informed decisions with minimal effort.The platform also addresses challenges faced by garage owners, offering them enhanced visibility, customer acquisition opportunities, and streamlined management of service requests. Real time updates on service availability, estimated wait times, and ongoing repairs create a transparent and efficient experience for both customers and service providers. Through its user friendly interface and smart algorithms, GarageLocator ensures a seamless connection between vehicle owners and auto services, reducing downtime and enhancing convenience. This innovative solution not only modernizes the automotive service industry but also establishes trust and reliability in a domain critical to everyday mobility. Ayush Mhaiskar | Prof. Shubhra Chinchmalatpure | Ujjwal Shukla | Prof. Smita Muley | Prof. Usha Kosarkar "GarageLocator: Bridging the Gap between Vehicle Owners and Local Auto Services with Real-Time Technology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74956.pdf Paper URL: https://www.ijtsrd.com/computer-science/other/74956/garagelocator-bridging-the-gap-between-vehicle-owners-and-local-auto-services-with-realtime-technology/ayush-mhaiskar
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| Streamlined Listening Experiences A Comprehensive Study on Seamless Sounds All in One User Interface and Features | | Author : Ashwini Sorgile | Rahul Bhagat | Prof. Anupam Chaube | | Abstract | Full Text | Abstract : Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74957.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/74957/streamlined-listening-experiences-a-comprehensive-study-on-seamless-sounds-allinone-user-interface-and-features/ashwini-sorgile
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| Predictive Valuation Techniques Integrating Vehicle Data with VehicleLogix | | Author : Prathmesh. S. Mandavkar | Sanket. G. Karole | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :The rapid advancements in vehicular technology and data analytics have provided a new avenue for predictive valuation, enabling smarter decision making processes in vehicle management, resale, and maintenance. VehicleLogix, a sophisticated data integration platform, leverages real time vehicular data and predictive algorithms to enhance valuation accuracy. This research investigates the integration of predictive valuation techniques with VehicleLogix, emphasizing the role of big data, machine learning, and IoT in transforming traditional valuation models. The study showcases the potential for improved transparency, reduced errors, and enhanced profitability in the automotive industry. Additionally, the paper examines the challenges and solutions for ensuring scalability and security in predictive systems while addressing future trends in valuation. Prathmesh. S. Mandavkar | Sanket. G. Karole | Prof. Usha Kosarkar "Predictive Valuation Techniques: Integrating Vehicle Data with VehicleLogix" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74967.pdf Paper URL: https://www.ijtsrd.com/engineering/automotive-engineering/74967/predictive-valuation-techniques-integrating-vehicle-data-with-vehiclelogix/prathmesh-s-mandavkar
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| Enhancing User Experience and Engagement on Seamless Sound A Comprehensive Study on Integrated Streaming, Personalization, and Accessibility | | Author : Badal Baryekar | Ankit Bisen | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :This study explores the enhancement of user experience and engagement on Seamless Sound, a platform integrating streaming, personalization, and accessibility features. With the rapid evolution of digital music services, user engagement has become a critical component in sustaining platform loyalty and increasing content consumption. The research examines how personalized recommendations, adaptive interfaces, and accessibility options contribute to a more immersive and inclusive listening experience. Through a mixed methods approach, including user surveys, analytics, and case studies, this paper identifies key factors that influence user satisfaction and retention. The findings suggest that a seamless blend of personalized content delivery, intuitive design, and robust accessibility features can significantly improve overall engagement. The paper also addresses challenges in maintaining a balance between algorithmic recommendations and user autonomy, ensuring that accessibility does not compromise personalization. Finally, implications for future development and strategies to improve user retention and platform growth are discussed. Badal Baryekar | Ankit Bisen | Prof. Anupam Chaube "Enhancing User Experience and Engagement on Seamless Sound: A Comprehensive Study on Integrated Streaming, Personalization, and Accessibility" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74959.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/74959/enhancing-user-experience-and-engagement-on-seamless-sound-a-comprehensive-study-on-integrated-streaming-personalization-and-accessibility/badal-baryekar
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| Breaking Communication Barriers Research on Sign Language for Better Comprehension by the Deaf | | Author : Prathmesh Adhau | Prajwal Pawar | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :Communication is a fundamental aspect of human interaction, yet for the deaf community, linguistic barriers often impede their access to effective communication. Sign language, a vital mode of interaction for the deaf, has historically faced challenges in achieving widespread recognition and integration into public and private sectors. This paper investigates the development and implementation of sign language systems aimed at enhancing understanding and inclusivity for the deaf community. It explores the historical evolution of sign language, the socio cultural challenges in its adoption, and the technological advancements revolutionizing communication for the deaf.Recent innovations in artificial intelligence and machine learning have paved the way for real time sign language recognition systems, mobile applications, and wearable devices. These technologies leverage computer vision and natural language processing to bridge the communication gap between deaf and hearing individuals. Furthermore, educational initiatives promoting bilingual approaches—combining sign and spoken languages—have shown promise in fostering inclusivity. Despite these advancements, obstacles such as limited linguistic datasets, high costs of technology development, and the variability in regional sign languages persist.This study emphasizes the need for a multidisciplinary approach to tackle these challenges, combining technological innovation with policy reforms and public awareness campaigns. Collaboration among researchers, technologists, and policymakers is critical to developing accessible and affordable solutions. Moreover, advocacy for the legal recognition of sign languages globally can create a more inclusive society where deaf individuals can thrive without communication barriers. By highlighting areas for future research and development, this paper aims to contribute to a future where sign language systems are not only recognized but also celebrated as integral to human communication. Prathmesh Adhau | Prajwal Pawar | Prof. Anupam Chaube "Breaking Communication Barriers: Research on Sign Language for Better Comprehension by the Deaf" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74961.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/74961/breaking-communication-barriers-research-on-sign-language-for-better-comprehension-by-the-deaf/prathmesh-adhau
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| Innovative Approaches to Sign Language Improving Communication and Understanding for Deaf Individuals | | Author : Mr. Om Kokas | Mr. Om Anjikar | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :The advancement of innovative approaches to sign language is playing a transformative role in improving communication and understanding for deaf individuals. Communication barriers are being bridged through AI powered sign language translation systems, gesture recognition software, and machine learning algorithms trained on vast datasets of sign language gestures. These technologies enable real time translation between sign language and spoken or written language, enhancing interactions in various settings. Moreover, wearable devices like smart gloves with sensors improve translation precision, while VR and AR technologies offer immersive and interactive sign language education platforms. These tools provide practical ways for hearing individuals to learn sign language and assist in understanding complex concepts. Beyond technological innovations, linguistic research and inclusive educational policies are critical. Documenting and standardizing sign languages contribute to preserving cultural and linguistic diversity and enable accurate translation and educational tools. Community driven initiatives, collaboration between Deaf communities, researchers, technologists, and policymakers ensure culturally sensitive solutions. Despite advancements, challenges such as limited access to technology, insufficient funding, and diverse sign languages persist. Continued investment, interdisciplinary collaboration, and a commitment to inclusivity are essential. In conclusion, adopting innovative approaches to sign language holds immense potential to transform communication and understanding for deaf individuals. Advancements in technology, inclusive education, and community collaboration can promote a more inclusive environment and empower deaf individuals. Mr. Om Kokas | Mr. Om Anjikar | Prof. Usha Kosarkar "Innovative Approaches to Sign Language: Improving Communication and Understanding for Deaf Individuals" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74962.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/74962/innovative-approaches-to-sign-language-improving-communication-and-understanding-for-deaf-individuals/mr-om-kokas
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| Improving Auto Service Convenience Exploring the Impact of GarageLocator on Vehicle Maintenance | | Author : Abhijeet Ukey | Prof. Shubhra Chinchmalatpure | Tanmay Chitnis | Prof. Smita Muley | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :The convenience of vehicle maintenance plays a pivotal role in enhancing customer satisfaction and fostering long term relationships between automotive service providers and their clients. This study explores the impact of GarageLocator, a technology driven solution aimed at streamlining the process of locating and accessing nearby auto service centers. The platform leverages geolocation services, real time data analytics, and user friendly interfaces to connect vehicle owners with garages that best meet their needs based on proximity, availability, service type, and customer reviews. By addressing common challenges such as unavailability of services, long waiting times, and lack of transparency in pricing, GarageLocator aims to simplify the maintenance process and improve customer experience. The study examines user feedback and operational data to assess the platforms effectiveness in reducing the time and effort required for routine maintenance and emergency repairs. Furthermore, it discusses the potential economic benefits for garage owners and the broader implications for the automotive service industry. Findings indicate that integrating such technology enhances operational efficiency, improves service accessibility, and fosters a more customer centric approach in vehicle maintenance. Abhijeet Ukey | Prof. Shubhra Chinchmalatpure | Tanmay Chitnis | Prof. Smita Muley | Prof. Usha Kosarkar "Improving Auto Service Convenience: Exploring the Impact of GarageLocator on Vehicle Maintenance" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74963.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/74963/improving-auto-service-convenience-exploring-the-impact-of-garagelocator-on-vehicle-maintenance/abhijeet-ukey
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| Safe and Accessible Medicine Exchange The Potential of PharmaExchange in Reducing Pharmaceutical Waste | | Author : Mansi Lokhande | Md Osama Arif | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :Pharmaceutical waste is a growing global concern, contributing to environmental degradation, public health risks, and economic inefficiencies. As the world grapples with rising healthcare costs and sustainability challenges, the concept of safe and accessible medicine exchange emerges as a potential solution. PharmaExchange is an innovative platform designed to facilitate the redistribution of unused, unopened medications from individuals and healthcare providers to those in need, while ensuring compliance with legal, ethical, and safety standards. This system seeks to reduce pharmaceutical waste, enhance medicine accessibility, and prevent unnecessary waste of valuable resources. The platform operates under stringent regulations to guarantee that the exchanged medicines are not expired, damaged, or unsafe, offering a sustainable alternative to traditional waste disposal practices. By exploring the potential of PharmaExchange, this discussion delves into the broader implications for healthcare systems, the environment, and public health, highlighting the promise of reducing pharmaceutical waste while making essential medications more accessible to underserved populations. Mansi Lokhande | Md Osama Arif | Prof. Anupam Chaube "Safe and Accessible Medicine Exchange: The Potential of PharmaExchange in Reducing Pharmaceutical Waste" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74964.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/74964/safe-and-accessible-medicine-exchange-the-potential-of-pharmaexchange-in-reducing-pharmaceutical-waste/mansi-lokhande
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| PharmaExchange A Sustainable Approach to Medicine Sharing and Reducing Pharmaceutical Waste | | Author : Lekhi Chaudhari | Meer Fulzele | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :Pharmaceutical waste is a significant global challenge that impacts the environment, public health, and the economy. Every year, billions of unused and expired medications are improperly disposed of, contributing to pollution and ecological imbalances. These medications often end up in water systems, contaminating aquatic ecosystems and affecting biodiversity. Additionally, the improper disposal of pharmaceuticals leads to the accumulation of harmful chemicals in soil, which can have long term consequences for agriculture and human health. Despite these challenges, there is a lack of public awareness and effective systems to manage pharmaceutical waste, highlighting the urgent need for innovative solutions.PharmaExchange is proposed as a sustainable and technology driven platform designed to address the multifaceted issue of pharmaceutical waste. The platform facilitates the sharing, buying, and reselling of surplus medications through a secure and efficient system. By leveraging digital technologies such as AI and blockchain, PharmaExchange ensures transparency, safety, and traceability in its operations. This approach not only minimizes waste but also enhances accessibility to essential medicines for underserved communities. By integrating robust quality assurance processes and collaborating with regulatory bodies, PharmaExchange establishes itself as a reliable and compliant solution for medication redistribution. By redistributing surplus medications, PharmaExchange bridges gaps in healthcare access, particularly for underserved and low income populations. Economically, the platform reduces healthcare expenditures by minimizing waste and optimizing resource utilization. Additionally, PharmaExchange generates employment opportunities in areas such as logistics, quality control, and technology development. Lekhi Chaudhari | Meer Fulzele | Prof. Usha Kosarkar "PharmaExchange: A Sustainable Approach to Medicine Sharing and Reducing Pharmaceutical Waste" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74965.pdf Paper URL: https://www.ijtsrd.com/pharmacy/other/74965/pharmaexchange-a-sustainable-approach-to-medicine-sharing-and-reducing-pharmaceutical-waste/lekhi-chaudhari
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| Optimizing Auto Maintenance A Case Study on GarageLocator and its Impact on Service Accessibility | | Author : Aman Shastrakar | Prof. Shubhra Chinchmalatpure | Abhijeet Warambhe | Prof. Smita Muley | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :The growing demand for efficient and accessible auto maintenance services has led to the emergence of innovative solutions leveraging technology to address challenges in the automotive repair industry. This paper explores the development and implementation of GarageLocator, a mobile application designed to enhance service accessibility for vehicle owners. The study investigates its impact on optimizing auto maintenance through features such as real time garage availability, service scheduling, customer reviews, and predictive maintenance reminders. By analyzing data from user interactions, surveys, and garage performance metrics, the research highlights significant improvements in service accessibility, customer satisfaction, and operational efficiency. The findings underscore the role of technology in transforming traditional garage services and provide actionable insights for stakeholders aiming to modernize the automotive service industry.Auto maintenance is a critical aspect of vehicle ownership, yet many drivers face challenges in locating reliable and accessible service providers. Traditional methods of finding garages often involve time consuming searches or reliance on word of mouth recommendations, which can be inefficient and unreliable. GarageLocator addresses these issues by integrating advanced technologies such as GPS mapping, data analytics, and user centric design into a seamless platform. The app not only helps users locate nearby garages but also provides detailed service offerings, transparent pricing, and verified customer reviews to foster trust and informed decision making. Additionally, GarageLocator incorporates predictive maintenance features powered by machine learning, enabling users to receive timely reminders for essential services based on their vehicles usage and condition. By streamlining the process of finding and accessing quality auto repair services, the platform bridges the gap between service providers and customers, ultimately enhancing the overall efficiency of the automotive maintenance ecosystem. Aman Shastrakar | Prof. Shubhra Chinchmalatpure | Abhijeet Warambhe | Prof. Smita Muley | Prof. Anupam Chaube "Optimizing Auto Maintenance: A Case Study on GarageLocator and its Impact on Service Accessibility" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74966.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/74966/optimizing-auto-maintenance-a-case-study-on-garagelocator-and-its-impact-on-service-accessibility/aman-shastrakar
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| From Booking to Delivery A Comprehensive Review of SnapManages Impact on Photo Studio Operations | | Author : Anirudha Barekar | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract : Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74980.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/74980/from-booking-to-delivery-a-comprehensive-review-of-snapmanages-impact-on-photo-studio-operations/anirudha-barekar
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| SnapManage A Technological Solution for Efficient Photo Studio Resource and Client Management | | Author : Anirudha Barekar | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :Photo studios face challenges in managing resources, scheduling clients, and ensuring smooth operations. SnapManage is a proposed system designed to streamline resource allocation and client management through a user friendly platform. This paper outlines the system’s features, including appointment scheduling, equipment management, and client communication. The proposed solution aims to reduce inefficiencies, improve client satisfaction, and enhance studio operations. Performance evaluation shows significant improvements in scheduling accuracy and resource utilization. Future enhancements include AI based recommendations and advanced analytics. Anirudha Barekar | Prof. Anupam Chaube "SnapManage: A Technological Solution for Efficient Photo Studio Resource and Client Management" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74981.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/74981/snapmanage-a-technological-solution-for-efficient-photo-studio-resource-and-client-management/anirudha-barekar
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| Enhancing Photo Studio Productivity with SnapManage An Integrated System for Seamless Operations | | Author : Anirudha Barekar | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :Photo studios often struggle with operational inefficiencies, ranging from booking management to post production workflows. This research introduces SnapManage, an integrated system designed to streamline photo studio operations. By combining automated scheduling, task management, and client interaction tools, SnapManage aims to enhance productivity and customer satisfaction. This paper outlines the proposed system’s framework, evaluates its performance, and discusses its potential to revolutionize studio operations. Anirudha Barekar | Prof. Usha Kosarkar "Enhancing Photo Studio Productivity with SnapManage: An Integrated System for Seamless Operations" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74982.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/74982/enhancing-photo-studio-productivity-with-snapmanage-an-integrated-system-for-seamless-operations/anirudha-barekar
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| Revolutionizing Healthcare Accessibility The Dochub Solution | | Author : Mohit Bodhe | Ayash Ramteke | Prof. Shubhra Chinchmalatpure | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :Hospital Management System is an organized computerized system designed and programmed to deal with day to day operations and management of hospital activities. The program can look after inpatients, outpatients, records, database treatments, status illness, billings in the pharmacy, and labs. It also maintains hospital information such as ward id, doctors in charge, and department administering. The major problem for the patient nowadays is to get the report after consultation, many hospitals managing reports in their system but its not available to the patient when he she is outside. In this project, we are going to provide the extra facility to store the report in the database and make it available from anywhere in the world. Mohit Bodhe | Ayash Ramteke | Prof. Shubhra Chinchmalatpure | Prof. Usha Kosarkar "Revolutionizing Healthcare Accessibility: The Dochub Solution" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75025.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75025/revolutionizing-healthcare-accessibility-the-dochub-solution/mohit-bodhe
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| Breaking Barriers with VISIONary News A Study on Accessibility and Inclusivity in News Platforms | | Author : Aastha Chaware | Rahul Baingane | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :In todays interconnected world, access to timely and accurate information is paramount for informed citizenship and societal participation. News platforms play a crucial role in disseminating this information, shaping public discourse, and holding institutions accountable.However, a significant portion of the population faces persistent barriers in accessing and engaging with online news content due to various disabilities, diverse linguistic backgrounds, and varying levels of digital literacy. This research, Breaking Barriers with VISIONary News, undertakes a comprehensive investigation into the current state of accessibility and inclusivity within online news platforms, aiming to identify challenges, highlight best practices, and propose actionable recommendations for creating a more equitable and accessible news ecosystem for all.This study adopts a mixed methods approach, combining quantitative and qualitative research methodologies to provide a holistic understanding of the issue. A systematic website analysis of prominent international and national news websites is conducted, employing automated accessibility checkers and manual evaluations based on the Web Content Accessibility Guidelines WCAG . This analysis identifies prevalent accessibility errors, such as missing alternative text for images, insufficient colour contrast, keyboard navigation difficulties, and inadequate captioning for multimedia content. These findings provide a quantitative measure of the current state of web accessibility within the news industry. Aastha Chaware | Rahul Baingane | Prof. Usha Kosarkar "Breaking Barriers with VISIONary News: A Study on Accessibility and Inclusivity in News Platforms" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74983.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/74983/breaking-barriers-with-visionary-news-a-study-on-accessibility-and-inclusivity-in-news-platforms/aastha-chaware
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| Analyzing Rental Trends Determinants of Flat Rent Pricing and Market Dynamics | | Author : Mr. Ashish Shahane | Mr. Shantanu Jodh | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :A complex interaction of economic, social, and property specific factors affects the dynamics of rental markets. With a focus on the functions of location, amenities, market trends, and regulatory frameworks, this study investigates the factors that influence flat rent pricing and market behavior. It also looks at how decision making is affected by changes in rental preferences following the pandemic and the emergence of technology driven platforms. This study highlights predictive aspects to optimize tactics and reveals important trends that influence rental pricing by integrating previous literature and evaluating real time data. The results provide useful information for investors, landlords, tenants, and legislators navigating the ever changing rental market. Additionally, this study explores how tenant behavior has changed since the pandemic, including a growing inclination for larger spaces and suburban houses as well as a growing dependence on digital technologies for rental management and property selection. Through the utilization of sophisticated analytical techniques and the synthesis of extensive data, this study yields practical insights for a range of stakeholders. The conclusions of this study are intended to give landlords, tenants, legislators, and investors the tools they need to adapt and prosper in a changing rental ecosystem, whether that means projecting market trends, filling regulatory loopholes, or improving rental pricing tactics. Mr. Ashish Shahane | Mr. Shantanu Jodh | Prof. Usha Kosarkar "Analyzing Rental Trends: Determinants of Flat Rent Pricing and Market Dynamics" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74985.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/74985/analyzing-rental-trends-determinants-of-flat-rent-pricing-and-market-dynamics/mr-ashish-shahane
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| Exploring the Dynamics of Flat Rent Market Trends, Influencing Factors and Future Outlook | | Author : Mr. Rohan Dhengre | Mr. Swapnil Agase | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :Due to the intricate interactions of socioeconomic, demographic, and policy driven factors, the rental market for apartments is a crucial component of metropolitan housing systems. The dynamics of flat rent market trends are examined in this research report, which also identifies important affecting elements such global events, population changes, government regulations, technological improvements, and economic situations. It provides a thorough examination of current trends by exploring geographical variances, the effects of remote employment, and the influence of short term rental platforms. The study also looks at the markets prospects, emphasizing how urbanization, smart technology, and sustainability are changing it. In order to help stakeholders such as investors, tenants, and policymakers manage the changing flat rental market, this study offers a comprehensive perspective. Technological developments, demographic changes, and economic situations are some of the reasons that have molded the ever changing flat rental market. Both landlords and tenants need to be aware of these patterns and the variables that influence them. This essay will look at the current situation of the apartment rental industry, analyze major trends, investigate the elements that affect rent costs, and talk about possible market expansions. Additionally, this study explores the local and regional differences in rental markets, examining the ways in which geographic and cultural factors influence distinctive market features. Mr. Rohan Dhengre | Mr. Swapnil Agase | Prof. Usha Kosarkar "Exploring the Dynamics of Flat Rent Market: Trends, Influencing Factors and Future Outlook" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74986.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/74986/exploring-the-dynamics-of-flat-rent-market-trends-influencing-factors-and-future-outlook/mr-rohan-dhengre
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| Exploring Trends and Determinants in Urban Flat Rental Market A Comprehensive Analysis | | Author : Mrs. Tanushree Bochar | Mrs. Shalini Dhote | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :This study provides a comprehensive analysis of the trends and determinants shaping the urban flat rental market. As urbanization accelerates globally, understanding the factors influencing rental dynamics is crucial for policymakers, investors, and urban planners. The research explores key variables such as economic conditions, demographic shifts, housing supply and demand, rental regulations, and the role of technology in market behavior. Using a combination of statistical models and case studies from diverse urban centers, the paper identifies the primary drivers of rental price fluctuations, including income levels, population density, and the availability of alternative housing options. Additionally, the study examines the impact of government interventions such as rent controls, taxation policies, and zoning laws on market stability. By mapping the evolution of rental trends and assessing the resilience of rental markets to external shocks, this analysis provides valuable insights into the complexities of urban housing markets and the factors that influence rental affordability and accessibility. Mrs. Tanushree Bochar | Mrs. Shalini Dhote | Prof. Usha Kosarkar "Exploring Trends and Determinants in Urban Flat Rental Market: A Comprehensive Analysis" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74987.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/74987/exploring-trends-and-determinants-in-urban-flat-rental-market-a-comprehensive-analysis/mrs-tanushree-bochar
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| The Role of Wellness Guard in Advancing Personalized Health Monitoring and Management | | Author : Yogendra Dewangan | Vaishnavi Bagdi | Monica Choudhary | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :Advancements in personalized health monitoring and management are revolutionizing by offering tailored interventions for individuals based on real time data. An emerging technology has demonstrated significant potential in this domain. This explores its applications, benefits, challenges, and prospects, emphasizing its role in enhancing health outcomes, improving disease prevention, and promoting lifestyle changes. In an era of rapid technological advancement, personalized health monitoring has emerged as key components of preventive healthcare. WellnessGuard, a cutting edge health monitoring system, plays a pivotal role in advancing this paradigm by integrating technology, artificial intelligence, and data analytics. This innovative platform offers individuals tailored insights into their physical, empowering them to make informed decisions about their well being. By collecting data on vital signs, symptoms, sleep patterns, and stress indicators, Wellness Guard enables providing health insights and comprehensive health checking. The system’s algorithms analyse this data to identify trends, detect anomalies, and predict potential health problems. Personalized alerts and recommendations ensure that users receive timely guidance, fostering proactive management of chronic conditions and overall wellness. Furthermore, its seamless integration with telemedicine platforms allows for efficient communication, data sharing, and remote consultations, enhancing the precision and accessibility of care. Incorporating into daily life not only enhances individual health outcomes but also reduces the burden on healthcare systems by promoting early intervention and disease prevention. As the demand for personalized healthcare grows, WellnessGuard examplifies the transformative potential of technology in shaping the future of health monitoring. This paper explores the multifaced role of WellnessGuard, its technological underpinnings, and its implications for a healthier, more sustainable future. Yogendra Dewangan | Vaishnavi Bagdi | Monica Choudhary | Prof. Usha Kosarkar "The Role of Wellness Guard in Advancing Personalized Health Monitoring and Management" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74988.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/74988/the-role-of-wellness-guard-in-advancing-personalized-health-monitoring-and-management/yogendra-dewangan
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| WellnessGuard A Comprehensive Approach to Personalized Health Monitoring and Preventative Care | | Author : Yash Gurve | Yash Tawade | Monica Choudhary | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :In an era where proactive health management is crucial, WellnessGuard emerges as a transformative tool designed to empower individuals to take charge of their well being. This innovative application integrates advanced technology and user centric design to offer personalized health monitoring and preventative care solutions. By enabling users to input symptoms, track health metrics, and access tailored insights, WellnessGuard promotes awareness and facilitates informed decision making. The application leverages cutting edge algorithms and evidence based recommendations to analyse user data, delivering actionable advice to mitigate potential health risks. WellnessGuard prioritizes accessibility and engagement, fostering a supportive environment where users can seamlessly navigate their health journey. Beyond symptom analysis, the platform provides guidance on lifestyle modifications, preventive measures, and when to seek professional care, bridging the gap between daily self care and medical intervention. This paper explores the conceptual framework, technological underpinnings, and potential impact of WellnessGuard, highlighting its role in transforming traditional approaches to health management. By emphasizing prevention and personalized care, WellnessGuard aims to reduce the burden of chronic diseases and improve overall health outcomes, offering a comprehensive solution for modern health challenges. Yash Gurve | Yash Tawade | Monica Choudhary | Prof. Usha Kosarkar "WellnessGuard: A Comprehensive Approach to Personalized Health Monitoring and Preventative Care" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74989.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/74989/wellnessguard-a-comprehensive-approach-to-personalized-health-monitoring-and-preventative-care/yash-gurve
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| Personalized Healthcare Through WellnessGuard A Study on Smart Health Monitoring Systems | | Author : Shubham Nibrad | Suraj Thawre | Monica Choudhary | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :Personalized healthcare is revolutionizing the way medical systems address individual wellness and disease prevention. This paper explores WellnessGuard, a smart health monitoring system leveraging advanced IoT devices and AI algorithms to deliver tailored healthcare solutions. By integrating real time data from wearable devices, it aims to predict potential health risks, optimize treatment plans, and enhance patient engagement. In a recent study, it demonstrated a prediction accuracy of 93.8 for chronic disease onset and significantly improved patient adherence to health routines. The system represents a transformative approach to healthcare, enabling proactive management and personalized care plans. This study highlights the potential of WellnessGuard in redefining healthcare standards and improving patient outcomes globally. Shubham Nibrad | Suraj Thawre | Monica Choudhary | Prof. Usha Kosarkar "Personalized Healthcare Through WellnessGuard: A Study on Smart Health Monitoring Systems" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74990.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/74990/personalized-healthcare-through-wellnessguard-a-study-on-smart-health-monitoring-systems/shubham-nibrad
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| Smart Vehicle Management System A Case Study of VehicleLogix for Valuation Precision | | Author : Prathamesh Machave | Harshal Karare | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :Vehicle management systems play a pivotal role in modern transportation by streamlining operations, optimizing asset utilization, and improving valuation precision. This paper focuses on VehicleLogix, a smart vehicle management system that integrates advanced algorithms, IoT sensors, and data analytics to enhance valuation accuracy. By leveraging real time data and predictive modeling, VehicleLogix enables precise assessments of vehicle health, market value, and operational efficiency. The study demonstrates how this system enhances decision making for fleet operators, dealerships, and insurers, ultimately improving productivity and cost efficiency. Furthermore, the implications for sustainability and regulatory compliance are discussed, showcasing the holistic benefits of adopting such systems. Prathamesh Machave | Harshal Karare | Prof. Usha Kosarkar "Smart Vehicle Management System: A Case Study of VehicleLogix for Valuation Precision" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74991.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/74991/smart-vehicle-management-system-a-case-study-of-vehiclelogix-for-valuation-precision/prathamesh-machave
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| Real Time Electric Vehicle Charger Availability A Study on ChargeHubs Intelligent Network Design | | Author : Chetan Kaner | Tanmay Pawar | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74992.pdf Paper URL: https://www.ijtsrd.com/engineering/automotive-engineering/74992/realtime-electric-vehicle-charger-availability-a-study-on-chargehubs-intelligent-network-design/chetan-kaner
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| The Role of Beacon Technology in Real Time Smart Navigation A Case Study of BeaconTrack | | Author : Aditi Khobragade | Akanksha Gaherwar | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :This review paper explores the pivotal role of beacon technology in revolutionizing real time smart navigation systems. Focusing on the BeaconTrack system as a case study, we delve into the principles of beacon technology, its applications in diverse domains, and its impact on enhancing user experiences. We analyze the key components of a beacon based navigation system, including beacon deployment strategies, data processing algorithms, and user interface design. Furthermore, we discuss the challenges and limitations associated with beacon technology, such as signal interference, battery life constraints, and privacy concerns. Finally, we examine future research directions, including advancements in indoor positioning systems, integration with other technologies like IoT and AI, and the development of more robust and user friendly beacon based navigation solutions. This review provides valuable insights into the potential of beacon technology to transform how we navigate our surroundings, from indoor environments to large scale outdoor spaces. Aditi Khobragade | Akanksha Gaherwar | Prof. Usha Kosarkar "The Role of Beacon Technology in Real-Time Smart Navigation: A Case Study of BeaconTrack" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74994.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/74994/the-role-of-beacon-technology-in-realtime-smart-navigation-a-case-study-of-beacontrack/aditi-khobragade
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| Beacon Track Advancing Proximity Based Navigation with Real Time Beacon Technology | | Author : Bhavesh Kamde | Aman Bhagat | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :The rapid growth of location based services LBS has underscored the need for efficient, accurate, and scalable navigation solutions. Proximitybased navigation using beacon technology has emerged as a critical enabler in contexts ranging from indoor navigation to asset tracking.The development of proximity based navigation systems has gained significant traction in recent years, especially with the advent of real time beacon technology. BeaconTrack introduces an innovative approach to indoor and outdoor navigation by leveraging Bluetooth Low Energy BLE beacons for precise location tracking and real time data updates. This paper explores the design, implementation, and practical applications of BeaconTrack, a system that addresses the limitations of traditional GPSbased navigation in environments where GPS signals are unreliable or unavailable, such as large buildings, underground facilities, and densely populated urban areas. The proposed system combines beacon technology, advanced algorithms, and mobile applications to provide accurate, efficient, and user friendly navigation solutions. BeaconTrack uses a network of strategically placed BLE beacons, which transmit unique identifiers to nearby devices. These identifiers, when processed by a mobile application or central server, determine the users location with high precision. The system integrates machine learning algorithms to enhance location accuracy by dynamically adjusting to environmental factors such as signal interference, obstacles, and varying beacon densities Bhavesh Kamde | Aman Bhagat | Prof. Anupam Chaube "Beacon Track: Advancing Proximity-Based Navigation with Real-Time Beacon Technology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74993.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/74993/beacon-track-advancing-proximitybased-navigation-with-realtime-beacon-technology/bhavesh-kamde
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| Optimizing Navigation Systems with Beacon Technology An In Depth Analysis of BeaconTrack | | Author : Akhilesh Iyer | Ankit Yadav | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :This paper looks at new ways to use beacon technology to improve indoor navigation systems, especially focusing on BeaconTrack, a smart solution that helps track locations and guide people in realtime. BeaconTrack uses Bluetooth Low Energy BLE beacons, which are small devices placed around a building. These beacons send signals to mobile phones, helping users find their way with great precision in places like airports, malls, hospitals, and museums. The system combines both physical devices and software to make sure the beacons and phones work together smoothly. We start by explaining the basics of beacon technology, focusing on its advantages, like using less power and being cheaper than regular GPS systems. Next, we look at how BeaconTrack works, especially its ability to give accurate step by step directions, live location updates, and alerts when you’re near something. We also discuss the problems the system faces, such as signal disruptions, environmental issues, and how well it can work in big areas. This study also looks at how BeaconTrack can improve user experience, make operations more efficient, and provide useful information about foot traffic for businesses. The paper ends by discussing future improvements in beacon based navigation, such as combining it with AI, machine learning, and IoT Internet of Things systems. These advancements are expected to make the system more adaptable and help in the development of smart cities. By exploring BeaconTrack in detail, this paper gives a thorough understanding of how beacon technology is changing navigation systems, making them more accurate, efficient, and focused on the user. Akhilesh Iyer | Ankit Yadav | Prof. Anupam Chaube "Optimizing Navigation Systems with Beacon Technology: An In-Depth Analysis of BeaconTrack" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74995.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/74995/optimizing-navigation-systems-with-beacon-technology-an-indepth-analysis-of-beacontrack/akhilesh-iyer
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| Smart Charging Solutions Leveraging ChargeHub for Real Time Electric Vehicle Charger Monitoring | | Author : Devraj Jachpele | Prathmesh Pande | Shubhra Chinchmalapure | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :The effective operation of electric vehicle EV charging networks is pivotal to modern transportation, yet challenges such as lack of transparency, inconsistent charger performance, and limited access to real time data often hinder the user experience. ChargeHub presents a comprehensive technological solution designed to bridge these gaps by leveraging innovative tools for seamless charger management, trust building mechanisms, and enhanced user interaction. This platform integrates advanced features such as real time charger monitoring, secure payment systems, user feedback, and AI driven station recommendations to ensure personalized and efficient charging services. By prioritizing reliability and accessibility, ChargeHub connects EV users with verified charging stations, fostering confidence in the ecosystem while promoting accountability among station operators. Additionally, its user centric interface streamlines navigation, communication, and feedback processes, making EV charging management intuitive and stress free. This paper explores ChargeHubs transformative role in reimagining traditional charging systems through advanced technology, creating a trustworthy and accessible platform that supports the transition to sustainable transportation solutions in today’s fast paced world Devraj Jachpele | Prathmesh Pande | Shubhra Chinchmalapure | Prof. Anupam Chaube "Smart Charging Solutions: Leveraging ChargeHub for Real-Time Electric Vehicle Charger Monitoring" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74997.pdf Paper URL: https://www.ijtsrd.com/engineering/automotive-engineering/74997/smart-charging-solutions-leveraging-chargehub-for-realtime-electric-vehicle-charger-monitoring/devraj-jachpele
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| AgroConnect Developing a Comprehensive App for Plant Health, Disease Management, and Food Productivity | | Author : Ananya Khara | Bhumika Parate | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :This review paper examines the challenges and opportunities in the food supply chain, focusing on building relationships, trust, leveraging technology, reducing intermediaries, improving logistics, and encouraging collaboration. It highlights the need for greater transparency, efficiency, and sustainability in the supply chain and suggests potential avenues for future research. The paper also proposes an application to connect farmers and retailers, providing regional languages and allowing farmers to share their experiences, techniques, and knowledge about fertilizers and pesticides. Agriculture is crucial for a developing economy like India, with the majority of its population relying on it for income. Data mining can efficiently predict crop yields, but farmers often lack knowledge about soil nutrients and composition, leading to minimal yield. A system has been developed that uses macronutrients NPK to provide suitable crop suggestions. The paper also proposes an application connecting farmers and retailers, focusing on agriculture in developing economies like India. Ananya Khara | Bhumika Parate | Prof. Anupam Chaube "AgroConnect: Developing a Comprehensive App for Plant Health, Disease Management, and Food Productivity" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74998.pdf Paper URL: https://www.ijtsrd.com/home-science/food-and-nutrition/74998/agroconnect-developing-a-comprehensive-app-for-plant-health-disease-management-and-food-productivity/ananya-khara
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| AgroTech Advancements A Unified Platform for Plant Information, Disease Resolution, and Sustainable Farming | | Author : Shruti Wankhade | Chetana Girhepunje | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :The agriculture sector is a vital part of human life and global economies, but it faces numerous challenges that threaten productivity, sustainability, and food security. These include crop diseases, inefficient farming practices, and limited access to comprehensive information. This research paper proposes a unified AgroTech platform to address these issues, integrating plant information, disease identification, and sustainable farming practices. The platform uses cutting edge technologies like AI, IoT, and data analytics to provide innovative and scalable solutions.The platforms architecture is modular and interoperable, adapting to diverse agricultural environments. Key features include a comprehensive plant database, AI powered disease diagnostics, IoT enabled farm monitoring systems, and data driven recommendations for optimizing resource usage. Its user friendly interface makes it accessible to farmers of varying technical proficiency levels.The potential benefits of this platform include accurate and timely information on crop health and growth conditions, helping farmers make informed decisions, enhancing crop yields and reducing losses due to diseases. It promotes responsible use of natural resources, minimizes environmental impact, and encourages collaboration amongstake holders.The paper explores the platforms design and implementation, evaluating its potential impact on the agriculture sector. It emphasizes its potential to revolutionize traditional farming methods and create a more resilient, efficient, and sustainable agricultural ecosystem. By addressing critical issues and providing practical solutions, the AgroTech platform represents a significant step towards transforming agriculture to meet the demands of a growing global population and an increasingly unpredictable climate. Shruti Wankhade | Chetana Girhepunje | Prof. Anupam Chaube "AgroTech Advancements: A Unified Platform for Plant Information, Disease Resolution, and Sustainable Farming" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd74999.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/74999/agrotech-advancements-a-unified-platform-for-plant-information-disease-resolution-and-sustainable-farming/shruti-wankhade
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| Integrated Mobile Solution for Farmers Enhancing Plant Care and Food Production through Technology | | Author : Suhani Sarode | Himanshi Wadafale | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :The study investigates an application that examines the various activities farmers undertake in the field, such as soil plowing, fertilization, herbicide application, and traceability of agricultural products. For real time documentation, the application provides smartphones and tablets to farmers, thereby providing practical, financial, and environmental benefits. In addition, the application has decision support capabilities and mobile services to help implement a network of producing units. Mobile devices are widely used by farmers and countryside people, and mobile enabled information services and mobile telephony have improved information sharing in knowledge intensive agricultural areas. India has the largest public extension system globally, but there are gaps in transferring recent farm technologies to farm fields. The introduction of mobile phones has improved agricultural applications and portals for farmers and stakeholders. Suhani Sarode | Himanshi Wadafale | Prof. Anupam Chaube "Integrated Mobile Solution for Farmers: Enhancing Plant Care and Food Production through Technology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75000.pdf Paper URL: https://www.ijtsrd.com/engineering/agricultural-engineering/75000/integrated-mobile-solution-for-farmers-enhancing-plant-care-and-food-production-through-technology/suhani-sarode
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| DocHub A Technological Framework for Real Time Access to Healthcare Services | | Author : Jugal Dambhare | Arpit Vitonde | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :Hospital Management System is an organized computerized system designed and programmed to deal with day to day operations and management of hospital activities. The program can look after inpatients, outpatients, records, database treatments, status illness, billings in the pharmacy, and labs. It also maintains hospital information such as ward id, doctors in charge, and department administering. The major problem for the patient nowadays is to get the report after consultation, many hospitals managing reports in their system but its not available to the patient when he she is outside. In this project, we are going to provide the extra facility to store the report in the database and make it available from anywhere in the world. Jugal Dambhare | Arpit Vitonde | Prof. Usha Kosarkar "DocHub: A Technological Framework for Real-Time Access to Healthcare Services" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75045.pdf Paper URL: https://www.ijtsrd.com/medicine/other/75045/dochub-a-technological-framework-for-realtime-access-to-healthcare-services/jugal-dambhare
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| From Search to Sale Exploring the Features and Benefits of RealEstateConnect for Property Stakeholders | | Author : Vivek Vairagade | Shubham Chaudhary | Prof. Shubhra Chinchmalatpure | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :The real estate industry is undergoing a digital transformation, and platforms like RealEstateConnect are at the forefront, reshaping how property transactions are conducted. This paper explores the features and benefits of RealEstateConnect, a comprehensive platform that caters to buyers, sellers, renters, and real estate professionals, enhancing their experience from initial search to the final sale or lease agreement.RealEstateConnect offers an intuitive interface powered by advanced search algorithms, enabling users to browse properties based on location, price range, and specific preferences. Buyers gain access to a wealth of information, including property details, high resolution images, virtual tours, and neighborhood analytics, empowering them to make informed decisions. Sellers, on the other hand, benefit from tools that increase their properties visibility through targeted marketing, data driven pricing suggestions, and analytics that measure listing performance.For renters, RealEstateConnect simplifies the leasing process by offering real time availability updates, online application submissions, and lease management tools. The platform also integrates financial solutions such as rent payment portals, mortgage calculators, and pre approval processes for buyers. This end to end functionality ensures seamless transactions while saving time and reducing stress.Security and transparency are central to RealEstateConnect’s value proposition. It employs blockchain technology to maintain tamper proof property records and transaction histories, fostering trust among stakeholders. A secure document management system supports e signatures and automated compliance checks, reducing paperwork and the potential for errors. Verified reviews, user ratings, and 24 7 customer support further enhance the platform’s credibility. Vivek Vairagade | Shubham Chaudhary | Prof. Shubhra Chinchmalatpure | Prof. Usha Kosarkar "From Search to Sale: Exploring the Features and Benefits of RealEstateConnect for Property Stakeholders" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75001.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75001/from-search-to-sale-exploring-the-features-and-benefits-of-realestateconnect-for-property-stakeholders/vivek-vairagade
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| Technology Meets Mental Health Evaluating the LifeLine System for Suicide Prevention and Emotional Well Being | | Author : Sadiya Khan | Faizan Sheikh | Prof. Shubhra Chinchmalatpure | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :Mental health issues, particularly suicide, represent significant global challenges requiring urgent and effective solutions. This study investigates LifeLine, a digital platform designed to promote mental well being by preventing suicide and fostering emotional resilience. LifeLine offers instant access to crisis helplines, guided relaxation exercises, and educational resources to enhance mental health awareness. Utilizing advanced data analytics, the system monitors users emotional states and provides personalized support, ensuring accessible and responsive care. This research evaluates LifeLines effectiveness in reducing suicidal thoughts, improving emotional resilience, and enhancing overall well being across diverse demographics, including various age groups, cultural backgrounds, and levels of digital literacy. Additionally, the integration of LifeLine with existing healthcare services is explored to assess its scalability as a complementary mental health tool. Findings emphasize the transformative potential of technology in mental health support, demonstrating how LifeLine empowers individuals to proactively manage their emotional health while making critical resources available during crises, ultimately addressing the growing challenges of mental health and suicide prevention. Sadiya Khan | Faizan Sheikh | Prof. Shubhra Chinchmalatpure | Prof. Anupam Chaube "Technology Meets Mental Health: Evaluating the LifeLine System for Suicide Prevention and Emotional Well-Being" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75002.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75002/technology-meets-mental-health-evaluating-the-lifeline-system-for-suicide-prevention-and-emotional-wellbeing/sadiya-khan
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| Enhancing Emotional Resilience The Role of LifeLine in Suicide Prevention and Happiness Promotion | | Author : Adarsh Mishra | Aditya Bangde | Prof. Shubhra Chinchmalatpure | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :Suicide remains a critical public health issue, driven by complex factors such as social pressures, emotional hardship, and mental health challenges. This study explores LifeLine, an innovative digital solution designed to enhance emotional resilience, prevent suicide, and promote overall well being. Through the analysis of user interactions on digital platforms, LifeLine detects early signs of emotional distress and delivers personalized interventions, including mindfulness exercises, real time counseling sessions, and customized self help resources. Beyond crisis intervention, LifeLine fosters long term emotional stability by encouraging healthy habits, guided mental health activities, and supportive connections with peers and professionals. By providing a stigma free, easily accessible environment, LifeLine bridges the gap between individuals and mental health support, enabling those in need to seek help without fear of judgment. This holistic approach not only addresses the immediate risks of suicide but also cultivates hope, resilience, and happiness, highlighting the potential of technology in addressing complex societal challenges and strengthening communities. Adarsh Mishra | Aditya Bangde | Prof. Shubhra Chinchmalatpure | Prof. Usha Kosarkar "Enhancing Emotional Resilience: The Role of LifeLine in Suicide Prevention and Happiness Promotion" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75003.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75003/enhancing-emotional-resilience-the-role-of-lifeline-in-suicide-prevention-and-happiness-promotion/adarsh-mishra
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| Life Line Developing a Digital Platform for Enhancing Mental Well Being and Suicide Prevention | | Author : Sahil Kokate | Sandhya Ganvenwar | Prof. Shubhra Chinchmalatpure | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :Mental health issues, particularly suicide, are a growing global concern affecting millions annually across diverse demographics, with stigma and limited access to care contributing to individuals reluctance to seek help. To address this, Lifeline is a proposed digital platform designed to enhance mental well being and provide critical suicide prevention services, breaking down barriers to mental health care through accessibility, privacy, and real time support. The platform offers interactive self help tools for emotional regulation, coping strategies, and mindfulness, alongside educational content that raises awareness about mental health, warning signs of suicidal ideation, and the importance of early intervention. Lifeline also features a real time support network where users in crisis can access live, confidential consultations with licensed professionals, as well as peer support communities that foster solidarity and belonging. Integrating with national suicide prevention hotlines and local responders, Lifeline ensures a seamless transition from digital to in person support, aiming to reduce fatal outcomes in high risk situations while maintaining user confidentiality and empowering individuals to seek help without fear of judgment. Sahil Kokate | Sandhya Ganvenwar | Prof. Shubhra Chinchmalatpure | Prof. Anupam Chaube "Life Line: Developing a Digital Platform for Enhancing Mental Well-Being and Suicide Prevention" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75004.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75004/life-line-developing-a-digital-platform-for-enhancing-mental-wellbeing-and-suicide-prevention/sahil-kokate
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| Talent Empowerment Through HirePoint A Model for Career Success | | Author : Rahul Singh | Rohit Durbude | Poonam Kale | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :In today’s competitive world, the professional landscape is marked by a relentless race to secure the best opportunities across all fields. This competition extends significantly to the job market, where both job seekers and recruiters face numerous challenges in finding their ideal matches. As industries expand and diversify, the need for an efficient, accessible, and user friendly system to bridge the gap between potential employees and employers has become paramount. This is where job portals play a crucial role.A job portal is an online platform specifically designed to provide detailed information and services to both recruiters and job seekers. These platforms act as a centralized hub where individuals seeking employment and organizations in need of skilled professionals can connect effectively. For job seekers, job portals simplify the process of finding suitable opportunities that align with their educational qualifications, prior work experience, and personal preferences. Similarly, for recruiters, these portals provide access to an extensive pool of potential candidates, making the process of finding the right fit for their organizations more efficient and less time consuming.The core functionality of a job portal revolves around enabling seamless interaction between job seekers and recruiters. It acts as a digital intermediary that facilitates communication and collaboration, ensuring both parties can achieve their respective goals in the shortest possible time. For job seekers, the platform offers features such as personalized job recommendations, resume building tools, and access to information about various companies. These features help candidates identify roles that match their skill sets and aspirations while also providing them with insights into the expectations and requirements of potential employers.On the other hand, recruiters benefit from the comprehensive databases of job portals, which contain detailed profiles of countless applicants. These databases allow recruiters to filter candidates based on specific criteria such as qualifications, experience, location, and job preferences. The advanced search and matching algorithms used by job portals significantly reduce the time and effort required to identify suitable candidates, making the recruitment process faster and more effective. Furthermore, job portals often include additional functionalities like interview scheduling, application tracking, and automated communication tools, further streamlining the hiring process.The primary objective of developing such an application is to create a robust system that fosters meaningful interaction between employers and job seekers. By facilitating this interaction, the job portal aims to address several challenges inherent in the traditional recruitment process. For instance, the conventional methods of hiring, such as newspaper advertisements or relying solely on word of mouth recommendations, often limit the pool of potential candidates and prolong the hiring process. In contrast, job portals provide recruiters with access to a global talent pool, breaking geographical barriers and enabling organizations to find candidates who meet their precise requirements.Moreover, job portals also empower job seekers by giving them greater control over their career trajectories. These platforms allow applicants to explore diverse opportunities across industries, compare job offers, and make informed decisions about their professional futures. The interactive nature of job portals ensures that communication between recruiters and job seekers is transparent and efficient, reducing the likelihood of misunderstandings or mismatches.The ultimate goal of a job portal is to simplify and accelerate the recruitment process for all parties involved. By leveraging modern technology, such as artificial intelligence, machine learning, and data analytics, job portals are continually evolving to offer more personalized and efficient solutions. These advancements ensure that job seekers are matched with opportunities that align closely with their skills and preferences, while recruiters can identify and hire the best candidates without unnecessary delays.In conclusion, job portals serve as an essential tool in the modern job market, addressing the needs of both job seekers and recruiters. By facilitating seamless interaction and providing a range of features designed to simplify the recruitment process, these platforms play a critical role in ensuring that individuals and organizations can achieve their professional objectives in an increasingly competitive environment. Rahul Singh | Rohit Durbude | Poonam Kale | Prof. Anupam Chaube "Talent Empowerment Through HirePoint: A Model for Career Success" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75023.pdf Paper URL: https://www.ijtsrd.com/management/hrm-and-retail-business/75023/talent-empowerment-through-hirepoint-a-model-for-career-success/rahul-singh
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| Smart Charging Solutions Leveraging ChargeHub for Real Time Electric Vehicle Charger Monitoring | | Author : Moreshwar Dhoke | Vedanshu Lohi | Prof. Usha Kosakar | | Abstract | Full Text | Abstract :With the rise of electric vehicles EVs , efficient charging infrastructure has become critical to support the transition to a sustainable future. ChargeHub, a state of the art solution for real time electric vehicle charger monitoring, offers advanced features like dynamic load management, fault detection, and user analytics to optimize the EV charging process. This paper explores how ChargeHub leverages IoT technologies, big data analytics, and cloud computing to ensure seamless monitoring and enhance user experience. With its predictive analytics capabilities, ChargeHub facilitates proactive maintenance, reducing downtime and improving overall reliability. This study presents an in depth analysis of ChargeHub’s architecture, features, and its impact on EV adoption, aiming to address the challenges of scalability and interoperability in EV charging networks. Moreshwar Dhoke | Vedanshu Lohi | Prof. Usha Kosakar "Smart Charging Solutions: Leveraging ChargeHub for Real-Time Electric Vehicle Charger Monitoring" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75007.pdf Paper URL: https://www.ijtsrd.com/engineering/automotive-engineering/75007/smart-charging-solutions-leveraging-chargehub-for-realtime-electric-vehicle-charger-monitoring/moreshwar-dhoke
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| Effortless Logistics A Seamless Transportation System for on Time Deliveries | | Author : Pawan Sakarde | Prayas Sukhadeve | Poonam Kale | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :In the modern era of global commerce, the demand for efficient logistics and transportation systems has never been greater. The concept of Effortless Logistics envisions a seamless transportation network that ensures on time deliveries, improves operational efficiency, and enhances customer satisfaction. This paper explores the technological advancements, methodologies, and strategies in logistics, focusing on the integration of digital technologies, sustainable practices, and autonomous systems. By addressing current challenges and proposing innovative solutions, this study aims to provide a roadmap for the future of logistics. Pawan Sakarde | Prayas Sukhadeve | Poonam Kale | Prof. Anupam Chaube "Effortless Logistics: A Seamless Transportation System for on Time Deliveries" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75082.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75082/effortless-logistics-a-seamless-transportation-system-for-on-time-deliveries/pawan-sakarde
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| A Meta Learning Method for Few Shot Face Forgery Segmentation and Classification | | Author : Govind Raut | Prof. Harshita | Chandrakant Kottalwar | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :Detection of Forgeries in Images A Survey Abstract While the technology to detect forgeries in images is able to detect images even at complex images, this well is only limited to known forgery methods. It trains neural networks from large amounts of original and corresponding forged images created with known techniques. But it fails to process unseen forgery techniques. One such proposed solution to this problem, recently, is to employ a hand crafted generator of forged images to generate a series of fake images and feed them to the neural network for training However, the aforementioned approach has certain limitations detecting performance in situations where the hand craft generator has not taken into consideration invisible forging processes. In this study, we use a meta learning approach to create a highly adaptive detector for detecting novel forging techniques, overcoming the drawbacks of current approaches. By employing meta learning approaches to train a forged image detector, the suggested method allows the detector to be fine tuned using a small number of fresh forged examples. In order to detect forged images with comparable characteristics, the suggested method inputs a limited number of the forged images to the detector and allows the detector to modify its weights based on the statistical properties of the input forged photos. With IoU gains ranging from 35.4 to 127.2 , the suggested approach significantly improves forgery method detection. These findings illustrate that the suggested approach outperforms the state of the art techniques in the majority of situations and greatly enhances detection performance with a relatively small number of samples. Govind Raut | Prof. Harshita | Chandrakant Kottalwar | Prof. Anupam Chaube "A Meta-Learning Method for Few-Shot Face Forgery Segmentation and Classification" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75008.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75008/a-metalearning-method-for-fewshot-face-forgery-segmentation-and-classification/govind-raut
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| Smart Comparison Systems Transforming Online Shopping Through Real Time Price Insights | | Author : Anurag K. More | Anand L. Sanodiya | Prof. Shubhara Chinchmalatpure | Prof. Smita Muley | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :E commerces explosive growth has revolutionized consumer purchasing, but the sheer volume of choices has also made it difficult to find the best offers. By providing users with accurate and dynamic price insights, smart comparison systems—powered by latest algorithms, artificial intelligence, and real time data analytics—are completely changing the online shopping experience. In order to give consumers the power to make well informed purchasing decisions, this study explores the creation and application of intelligent comparison systems that incorporate real time price tracking, product specifications, and customer reviews. These systems are now able to analyze enormous volumes of data from numerous online retailers, identify price fluctuations, and forecast trends thanks to significant developments in artificial intelligence, machine learning, and big data.To be able to accomplish seamless functionality, this study investigates how real time data collection and analysis mechanisms ensure accuracy and speed, emphasizing the roles of web scraping, API integrations, and natural language processing. Additionally, the study looks at user interface and user experience design principles that guarantee these systems are easy to use, accessible, and intuitive for a variety of audiences. The economic effects of smart comparison systems on customers, companies, and the market at large are also examined in this paper. Increased competition forces businesses to develop new pricing strategies and enhance value propositions, while consumers gain from increased transparency and savings. In addition, carefully looked at are ethical issues like data privacy, possible algorithmic biases, and adherence to global e commerce rules. Anurag K. More | Anand L. Sanodiya | Prof. Shubhara Chinchmalatpure | Prof. Smita Muley | Prof. Anupam Chaube "Smart Comparison Systems: Transforming Online Shopping Through Real-Time Price Insights" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75009.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75009/smart-comparison-systems-transforming-online-shopping-through-realtime-price-insights/anurag-k-more
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| Enhancing Productivity with Jarvis Bridging Technology and Cognitive Assistance | | Author : Sanskruti Galewar | Om Tayade | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :The promotion of artificial intelligence AI has been very fast which has changed the way people use technology and has brought about huge improvements in productivity. Among the AI solutions, Jarvis seems to be a large scale cognitive solution designed to put some effort in managing working, coordinating tasks and supporting decision making processes outcomes. This review paper focuses on the overall enhancements in productivity improvements whereby this paper explores the main functionalities of Jarvis, capabilities of integration, and the general challenge that may be encountered. In a way of combining the application of technology and cognitive helping Jarvis is a revolutionary approach in harnessing the productivity of an individual or an organization. Sanskruti Galewar | Om Tayade | Prof. Anupam Chaube "Enhancing Productivity with Jarvis: Bridging Technology and Cognitive Assistance" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75010.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75010/enhancing-productivity-with-jarvis-bridging-technology-and-cognitive-assistance/sanskruti-galewar
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| InfraGuard Advancing Critical Infrastructure Security through Real Time Threat Detection and Automated Response | | Author : Saloni Hingane | Shweta Wase | Sakshi Umate | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :Important systems like power grids, transportation networks, and water supplies are essential for modern life. However, they are at risk from cyberattacks, which can threaten national security, the economy, and public safety. InfraGuard, a partnership between the FBI and private companies, helps protect these systems by using advanced tools to detect cyber threats instantly and respond automatically. This paper looks at how InfraGuard improves the security of these vital systems by using the latest technology to spot cyber dangers quickly and reduce risks through automated actions. We also study InfraGuards setup, tools, abilities, and how well it works as part of the countrys plan to protect against cyber threats. Saloni Hingane | Shweta Wase | Sakshi Umate | Prof. Anupam Chaube "InfraGuard: Advancing Critical Infrastructure Security through Real-Time Threat Detection and Automated Response" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75011.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75011/infraguard-advancing-critical-infrastructure-security-through-realtime-threat-detection-and-automated-response/saloni-hingane
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| Enhancing Critical Infrastructure Protection A Study on InfraGuards Real Time Threat Detection and Mitigation | | Author : Pratik Ahir | Shweta Wase | Ramija Dudhaknoj | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :Corporate infrastructures are vital for the national security, economic stability, and safety of the public. The leading cybersecurity initiative, InfraGuard, aims at protecting the critical infrastructure by offering real time threat detection and mitigating with new advances with respect to cyber threats as also in terms of their corresponding adaptation to the private and public sector as well as in terms of how technology facilitates collaboration and advances threat intelligence. The central thesis of the paper is the examination of the technological frameworks, operational mechanisms, and the effectiveness of InfraGuard in enhancing infrastructure resilience against cyber threats. Pratik Ahir | Shweta Wase | Ramija Dudhaknoj | Prof. Anupam Chaube "Enhancing Critical Infrastructure Protection: A Study on InfraGuards Real-Time Threat Detection and Mitigation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75012.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/75012/enhancing-critical-infrastructure-protection-a-study-on-infraguards-realtime-threat-detection-and-mitigation/pratik-ahir
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| Immersive Movie Experience Analyzing Silver Screen X and the role of Modern Cinematic Technologies | | Author : Ankit Chavhan | Pulkit Choudhary | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :The entertainment industry has witnessed a revolutionary transformation through the integration of immersive technologies in cinema. This research paper provides a comprehensive analysis of Silver Screen X technology and its impact on modern movie watching experiences. Through detailed examination of technical specifications, viewer response data, and industry trends, this study demonstrates how advanced projection systems, spatial audio, and environmental controls contribute to creating unprecedented immersive theatrical experiences. Ankit Chavhan | Pulkit Choudhary | Prof. Anupam Chaube "Immersive Movie Experience: Analyzing Silver Screen X and the role of Modern Cinematic Technologies" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75015.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75015/immersive-movie-experience-analyzing-silver-screen-x-and-the-role-of-modern-cinematic-technologies/ankit-chavhan
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| Real Time Threat Monitoring for Critical Infrastructure The Role of InfraGuard in Cybersecurity | | Author : Pritesh Sangode | Prof. Shweta Wase | Sankalp Jugade | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :The increasing sophistication and frequency of cyberattacks pose a critical risk to the security of essential infrastructure systems, such as energy grids, water systems, and transportation networks. Real time threat monitoring has emerged as a crucial component of modern cybersecurity strategies, enabling proactive identification and mitigation of vulnerabilities. InfraGuard, a collaborative initiative between the FBI and private sector stakeholders, has played a pivotal role in strengthening the cybersecurity posture of critical infrastructure sectors. This review explores the current state of real time threat monitoring, evaluates the contributions of InfraGuard, and highlights emerging technologies and best practices for securing critical infrastructure against evolving cyber threats.With cyber threats growing in both sophistication and frequency, the need for real time threat monitoring and rapid response mechanisms has become paramount. InfraGuard, a public private partnership initiated by the FBI, plays a pivotal role in enhancing the cybersecurity of critical infrastructure through collaborative efforts among government agencies, private sector companies, and cybersecurity professionals. This paper explores the role of InfraGuard in real time threat monitoring for critical infrastructure, highlighting its impact on proactive threat detection, information sharing, and collaborative defense strategies. We also examine the challenges, opportunities, and future directions for InfraGuard in addressing the evolving landscape of cybersecurity threats. Pritesh Sangode | Prof. Shweta Wase | Sankalp Jugade | Prof. Anupam Chaube "Real-Time Threat Monitoring for Critical Infrastructure: The Role of InfraGuard in Cybersecurity" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75013.pdf Paper URL: https://www.ijtsrd.com/computer-science/computer-security/75013/realtime-threat-monitoring-for-critical-infrastructure-the-role-of-infraguard-in-cybersecurity/pritesh-sangode
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| Academic Integrity in the Digital Age Leveraging Originality Guard for Plagiarism Detection | | Author : Kileshwar V. Turkar | Prof. Smita Muley | Soham S. Deshpande | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :In the rapidly evolving landscape of education, maintaining academic integrity is more crucial than ever, particularly in the digital age where access to information and tools for content generation are ubiquitous. This paper explores the necessity of plagiarism detection systems, focusing on the effectiveness of “Originality Guard” as a robust solution for safeguarding originality in academic work. Originality Guard utilizes advanced algorithms to detect similarities across a vast database of academic sources, facilitating a parallel between traditional academic practices and contemporary digital methodologies. Through a comparative analysis with other plagiarism detection tools, this study evaluates the precision, efficiency, and user friendliness of Originality Guard in academic settings. The implementation of such platforms not only aids in identifying cases of academic misconduct but also educates students on the importance of citing sources and engaging in ethical research practices. By embracing technology to uphold scholarly standards, educators can foster an environment grounded in integrity and innovation, ultimately contributing to the promotion of original thought in higher education. Kileshwar V. Turkar | Prof. Smita Muley | Soham S. Deshpande | Prof. Usha Kosarkar "Academic Integrity in the Digital Age: Leveraging Originality Guard for Plagiarism Detection" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75014.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75014/academic-integrity-in-the-digital-age-leveraging-originality-guard-for-plagiarism-detection/kileshwar-v-turkar
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| Strategic Hiring and Skill Building Insights from HirePoint | | Author : Pranay Deshmukh | Omesh Vaidya | Poonam Kale | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :The HirePoint is a comprehensive solution designed to address the inefficiencies associated with traditional manual processes in recruitment and job seeking activities. The system leverages user friendly computer software and modern technological equipment to streamline operations, ensuring efficient data storage, quick retrieval, and optimized functionality. Its primary objective is to automate repetitive manual tasks, enabling seamless interactions between job seekers and employers while fostering productivity and convenience. This approach caters to the growing demand for digital solutions that enhance organizational and individual efficiency in an increasingly competitive job market.One of the key aspects of the system is its emphasis on meeting user needs. The platform is developed with a focus on usability and accessibility, ensuring that both employers and job seekers can navigate the interface effortlessly. By providing a well structured and intuitive design, the system minimizes the learning curve, making it accessible even to users with limited technical expertise. This user centric approach encourages adoption and satisfaction, thereby creating a robust environment for job related activities.The system also places significant importance on the extended storage of critical information. With the advancement of cloud based and on premise storage solutions, the job portal offers ample space to store vast amounts of data securely. Job seekers can maintain detailed profiles, resumes, and application histories, while employers can store job postings, candidate details, and feedback records. This eliminates the need for physical documentation and manual record keeping, ensuring that all necessary information is readily available at any time. The use of such storage mechanisms enhances the reliability and durability of data while reducing the risk of loss or corruption.Another notable feature of the HirePoint is its ability to facilitate efficient and dependable management. By automating mundane tasks such as filtering job applications, matching candidates to relevant roles, and updating records, the system reduces the administrative burden on users. Employers can focus on selecting the best talent, and job seekers can concentrate on preparing for interviews and skill development. The system also incorporates advanced search and filter functionalities, ensuring that users can quickly access the information most relevant to their needs without being overwhelmed by irrelevant data.Furthermore, the portal eliminates the redundancies associated with manual record keeping. Duplicate entries, a common challenge in traditional systems, are minimized through automated processes and unique identifiers. This not only saves time but also improves data accuracy, allowing organizations to operate more effectively. Streamlined record maintenance contributes to better resource utilization, as time and energy previously spent on managing records can now be directed toward strategic activities.By optimizing resource allocation and simplifying management tasks, the system enhances organizational productivity. Employers can make data driven hiring decisions, reducing the time to hire and improving workforce quality. Job seekers, on the other hand, benefit from tailored job recommendations and a more engaging application process, ultimately improving their chances of securing desired roles. The portal’s ability to align job seekers with suitable opportunities fosters a more efficient labor market, benefiting individuals and organizations alike.In conclusion, the HirePoint is a transformative tool designed to improve client services and overall performance. By streamlining management tasks and automating processes, it minimizes distractions and maximizes efficiency. Its user friendly design, extended storage capabilities, and focus on relevant information retrieval ensure a seamless experience for all stakeholders. The system not only simplifies recruitment and job seeking activities but also drives organizational growth by enabling smarter and faster decision making. As technology continues to evolve, such digital solutions are essential for navigating the complexities of modern employment dynamics. Pranay Deshmukh | Omesh Vaidya | Poonam Kale | Prof. Anupam Chaube "Strategic Hiring and Skill Building: Insights from HirePoint" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75021.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75021/strategic-hiring-and-skill-building-insights-from-hirepoint/pranay-deshmukh
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| Building Careers Through Innovation Analyzing the HirePoint Initiative | | Author : Piyush Sukhawani | Samarth Mankar | Poonam Kale | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :The proposed online job portal system serves as a comprehensive platform designed to bridge the gap between job seekers and employers by providing a range of features and services. For job seekers, the platform offers a convenient means to search for employment opportunities tailored to their skills and interests. This is achieved through a user friendly interface that allows individuals to browse, filter, and apply for jobs online. By making job postings readily accessible, the portal eliminates geographical barriers and provides greater accessibility to opportunities, enhancing the overall job search experience.One of the key features of this system is its ability to facilitate the online submission of job applications. Job seekers can upload their resumes, provide essential details, and directly apply for roles that match their qualifications. This eliminates the need for physical submissions and enables instant delivery of applications, saving time and effort for both candidates and employers. Additionally, the system empowers job seekers by offering tools to build and update their profiles, ensuring they present their skills and qualifications effectively to potential employers.For employers, the portal provides an efficient mechanism to manage the recruitment process. Companies can post job vacancies online, ensuring their openings reach a broad audience. The platform simplifies the job posting process by offering customizable templates and options to specify detailed requirements such as skill sets, experience levels, and job locations. This ensures that the postings are clear and attract the right candidates. Once job openings are posted, they are instantly made available to job seekers, expediting the hiring process.The portal also incorporates advanced features to streamline the management of applications. Employers can review applications directly through the web interface, sort candidates based on their qualifications, and shortlist resumes that align with their specific needs. The systems ability to filter and match resumes with job requirements reduces the time spent on manual screening, enabling employers to focus on the most suitable candidates. This automated functionality not only saves time but also increases the likelihood of finding the best talent for the role.Another significant advantage of the system is its ability to foster direct communication between employers and job seekers. Employers can contact potential candidates for interviews or further discussions, facilitating a smoother and more personalized hiring process. The platform also enables real time updates, such as notifications about new job postings or application statuses, ensuring both parties remain informed throughout the recruitment process.In addition to its core functionalities, the portal promotes transparency and efficiency in the job market by providing a centralized space for employment opportunities. It benefits employers by enhancing their ability to find the right talent quickly and effectively. At the same time, it empowers job seekers by granting them access to a diverse range of job openings, helping them achieve their career goals.In conclusion, the proposed online job portal system is a powerful tool that simplifies and enhances the recruitment process for both job seekers and employers. By offering features such as online job applications, resume management, and vacancy postings, the platform ensures a seamless connection between candidates and companies, ultimately fostering a more efficient and productive job market. Piyush Sukhawani | Samarth Mankar | Poonam Kale | Prof. Anupam Chaube "Building Careers Through Innovation: Analyzing the HirePoint Initiative" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75022.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75022/building-careers-through-innovation-analyzing-the-hirepoint-initiative/piyush-sukhawani
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| SilverScreenX Transforming Cinema through Advanced Technology and Immersive Experiences | | Author : Abhay Nagose | Ashwini Hatzade | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :SilverScreenX Transforming Cinema through Advanced Technology and Immersive Experiences explores the evolution of the cinematic experience by examining the integration of cutting edge technologies such as virtual reality VR , augmented reality AR , 4D environments, and advanced motion capture systems. This paper discusses how these innovations are reshaping storytelling, audience engagement, and the overall sensory experience in modern cinema. SilverScreenX is presented as a concept that harnesses these advancements to create an all encompassing immersive environment, elevating traditional filmmaking to new heights. Through the fusion of visually stunning effects, interactive narratives, and multi sensory stimuli, SilverScreenX aims to transform how stories are told and experienced, offering audiences an unprecedented level of participation and emotional immersion. This paper highlights the potential future of cinema and how these technological breakthroughs can redefine the relationship between filmmakers and viewers, creating a new paradigm for entertainment in the digital age. Abhay Nagose | Ashwini Hatzade | Prof. Anupam Chaube "SilverScreenX: Transforming Cinema through Advanced Technology and Immersive Experiences" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75016.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75016/silverscreenx-transforming-cinema-through-advanced-technology-and-immersive-experiences/abhay-nagose
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| The Role of Immersive Technologies in Cinema A Case Study on SilverScreenX | | Author : Bhushan M. Bodhe | Aayush R. Zade | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :Immersive technologies, such as virtual reality VR , augmented reality AR , and mixed reality MR , are transforming the cinematic landscape by offering new ways to create, distribute, and experience films. This paper explores the role of immersive technologies in cinema through a focused case study on SilverScreenX, a pioneering platform that integrates cutting edge immersive tools into the filmmaking and viewing process. The study examines how SilverScreenX leverages these technologies to enhance storytelling, audience engagement, and production workflows. Key insights include the platforms innovative use of VR to create fully interactive narratives, AR to blend physical and digital realities, and MR to enable collaborative virtual production. Furthermore, the paper evaluates the challenges of adopting immersive technologies, such as accessibility, content creation complexities, and audience adaptation. By analyzing the impact of SilverScreenX, this study sheds light on the potential of immersive technologies to redefine cinema and offers actionable recommendations for filmmakers and stakeholders seeking to embrace this paradigm shift. Bhushan M. Bodhe | Aayush R. Zade | Prof. Anupam Chaube "The Role of Immersive Technologies in Cinema: A Case Study on SilverScreenX" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75017.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75017/the-role-of-immersive-technologies-in-cinema-a-case-study-on-silverscreenx/bhushan-m-bodhe
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| Smart Attendance Systems An Evaluation of FaceAttend and its Role in Modernizing College Attendance | | Author : Toshik Rahangdale | Om Pardhi | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :The modernization of college attendance systems has gained momentum with the advent of smart technologies. Among these, FaceAttend, a facial recognition based attendance solution, has emerged as a promising tool. This paper evaluates the functionality, advantages, challenges, and implications of FaceAttend in the context of higher education. Through a comprehensive analysis, we explore how this technology aligns with the objectives of efficiency, accuracy, and security while considering ethical and technical concerns.In colleges, universities, organizations, schools, and offices, taking attendance is one of the most important tasks that must be done on a daily basis.The traditional methods of tracking student attendance in colleges, such as manual roll calls and sign in sheets, are becoming increasingly inefficient in the digital age. This research paper explores the potential of smart attendance systems, with a focus on FaceAttend, a facial recognition based attendance solution. The study evaluates FaceAttends features, benefits, challenges, and its overall impact on modernizing college attendance systems Toshik Rahangdale | Om Pardhi | Prof. Anupam Chaube "Smart Attendance Systems: An Evaluation of FaceAttend and its Role in Modernizing College Attendance" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75018.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75018/smart-attendance-systems-an-evaluation-of-faceattend-and-its-role-in-modernizing-college-attendance/toshik-rahangdale
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| Enhancing College Attendance with Face Recognition A Comprehensive Review of the FaceAttend System | | Author : Piyush Nakoriya | Pankaj Patle | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :The increasing demand for efficient and accurate attendance systems in educational institutions has driven the adoption of technology based solutions. This paper presents a comprehensive review of FaceAttend, a face recognition based system designed to enhance college attendance management. Traditional attendance systems, including manual and card based approaches, are prone to inaccuracies, time inefficiencies, and fraudulent practices such as proxy attendance. FaceAttend leverages advancements in artificial intelligence, computer vision, and machine learning to address these challenges.The system employs facial recognition technology to authenticate student identities in real time, ensuring accuracy and eliminating manual intervention. This review highlights the system’s architecture, including its integration of pre trained models, image preprocessing techniques, and cloud based storage for scalability. Additionally, the study evaluates the systems performance based on factors such as recognition accuracy, speed, user acceptance, and security against spoofing.Results from case studies conducted across various educational institutions demonstrate the effectiveness of FaceAttend in streamlining attendance management, reducing administrative overhead, and fostering a culture of accountability. Challenges such as privacy concerns, hardware requirements, and algorithmic bias are also discussed, along with proposed solutions to mitigate these issues. The paper concludes by outlining future directions for improving the system, including multi factor authentication and integration with learning management platforms. FaceAttend emerges as a promising solution for modernizing attendance systems in the education. Piyush Nakoriya | Pankaj Patle | Prof. Anupam Chaube "Enhancing College Attendance with Face Recognition: A Comprehensive Review of the FaceAttend System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75019.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75019/enhancing-college-attendance-with-face-recognition-a-comprehensive-review-of-the-faceattend-system/piyush-nakoriya
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| Implementing Face Recognition for College Attendance A Case Study of the FaceAttend System | | Author : Mr. Om Bhujade | Mr. Prajwal Khadse | Prof. Poonam Kale | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :The traditional methods of student attendance in educational institutions have often faced challenges of inefficiency, inaccuracy, and potential fraud. This paper explores the implementation of face recognition technology as an alternative to conventional attendance systems. The FaceAttend system, a case study at a university, demonstrates the viability of using facial recognition for automating attendance tracking. The study analyzes the system’s design, performance, security concerns, and the effectiveness of its implementation in a real world college environment.The increasing need for efficient and accurate attendance systems in educational institutions has led to the exploration of innovative technologies, such as facial recognition. This paper presents a case study on the implementation of the FaceAttend System, a face recognition based attendance system designed to streamline the attendance process in a college environment. The study discusses the system’s architecture, technology stack, methodologies for data collection, performance evaluation, and user feedback. Mr. Om Bhujade | Mr. Prajwal Khadse | Prof. Poonam Kale | Prof. Anupam Chaube "Implementing Face Recognition for College Attendance: A Case Study of the FaceAttend System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75020.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75020/implementing-face-recognition-for-college-attendance-a-case-study-of-the-faceattend-system/mr-om-bhujade
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| AI in Mental Health Analyzing the Role of Mental Well in Psychological Disorder Prevention and Management | | Author : Ms. Juhi Purankar | Ms. Kiranjot Kaur Lehal | Prof. Jyoti Tiwari | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :Artificial Intelligence AI has emerged as a transformative tool in mental health care, offering innovative solutions for the prevention and management of psychological disorders. This paper explores the role of Mental Well, an AI driven platform, in addressing key challenges in mental health. By leveraging advanced algorithms, natural language processing, and machine learning, Mental Well provides early detection of mental health risks, personalized therapeutic recommendations, and continuous monitoring of patients’ emotional well being.The platform utilizes data from diverse sources, including user reported symptoms, behavioral patterns, and physiological metrics, to deliver accurate and timely insights. It facilitates preventive care by identifying potential mental health concerns before they escalate and supports clinicians with decision making through real time analytics. Additionally, Mental Well empowers individuals to manage their mental health proactively via tailored interventions such as mindfulness exercises, cognitive behavioral therapy CBT modules, and stress management techniques.This paper highlights the efficacy of AI in enhancing accessibility, efficiency, and outcomes in mental health care while addressing ethical considerations like data privacy and algorithmic bias. The findings underscore the potential of AI powered platforms like Mental Well in revolutionizing mental health prevention and treatment, paving the way for more integrated and patient centered care systems. Ms. Juhi Purankar | Ms. Kiranjot Kaur Lehal | Prof. Jyoti Tiwari | Prof. Usha Kosarkar "AI in Mental Health: Analyzing the Role of Mental Well in Psychological Disorder Prevention and Management" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75024.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75024/ai-in-mental-health-analyzing-the-role-of-mental-well-in-psychological-disorder-prevention-and-management/ms-juhi-purankar
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| PlagScan Advanced Plagiarism Detection and Accuracy Reporting Tool | | Author : Jatin Bhaduri | Ayush Singh | Smita Muley | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :Plagiarism is among the most common ethical violations a student may commit, especially in the digital age where information abounds at the fingertips. Yet, plagiarism is not just threatening the integrity of academic and professional work but also inhibits creativity, innovation and original thought. You need a tool to detect and provide an accurate report which will help you to rectify your mistakes. That is where “Originality guard” comes — an innovative plagiarism detection and accuracy reporting software that helps in identifying suspecting copies of work and promoting originality. Which is specifically made to resolve the issue of plagiarism with a complete and accurate detection solution. This tool can help them avoid any system generated content, ensure that their work is original and clean and for the educators and institutions, there will be no compromise with integrity of work done by their students. Jatin Bhaduri | Ayush Singh | Smita Muley | Prof. Usha Kosarkar "PlagScan: Advanced Plagiarism Detection and Accuracy Reporting Tool" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75032.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/75032/plagscan-advanced-plagiarism-detection-and-accuracy-reporting-tool/jatin-bhaduri
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| Comprehensive Airline Booking Systems A Case Study of FlySmart | | Author : Diya Mandal | Vaishali Wankhede | Prof. Usha Kosharkar | | Abstract | Full Text | Abstract :This paper analyzes and discusses the designs, developments, and implementations of general airline booking systems from the aspect of FlySmart, a small sized airline characterized by innovative thoughts on customer service. The findings are an insightful discussion of the systems architecture, strategy for integration of different modules in the system, challenges encountered along the way, and future areas of improvement in the system. Generally, this system analysis will depict best practices by FlySmarts airlines. Diya Mandal | Vaishali Wankhede | Prof. Usha Kosharkar "Comprehensive Airline Booking Systems: A Case Study of FlySmart" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75055.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75055/comprehensive-airline-booking-systems-a-case-study-of-flysmart/diya-mandal
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| A New Era of Video Conferencing to Enhanced Professional Interactions | | Author : Khushali Kumeriya | Khushi Sharma | Prof. Poonam Kale | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :Real Connect is an innovative video conferencing tool created to upgrade the virtual meeting experience using the latest technologies, such as P2P connections via WebRTC and AI driven features like live translation and real time captioning. As remote communication becomes vital in todays world, Real Connect wants to offer seamless, high quality platforms for both personal and professional use. At the core, the architecture used by Real Connect is based on WebRTC technology that offers direct peer to peer communication, eliminating the presence of centralized servers during a call. It guarantees low latency, enhancement in the audio and video qualities, while safeguarding against various network threats to present a better connection quality. Such kind of P2P architecture means better performance as well as low congestion on the networks, guaranteeing smooth and undisturbed conversation even at slower bandwidths. Some of the key differentiators for Real Connect include AI powered live translation and real time captioning. The platform will be able to translate spoken language into text using advanced natural language processing algorithms, enabling participants of different linguistic backgrounds to interact without any barriers. Live Translation gives way to truly global communication whereby your speech gets instant captions in any preferred language in a meeting. At the same time, this further allows accurate immediate translations in case of a meeting it enables more accessibility to hearing challenged users or for customers who find themselves under noisy conditions so that nobody miss a point easily. RealConnect also provides the user with personalization settings captioning languages, toggling audio and video on and off, a set of virtual meeting tools like screen sharing, file sharing, and recording meetings. The platform is intuitively designed it has a user friendly interface that allows seamless transitions between different modes of communication, whether it is a one on one call, a team meeting, or a large scale webinar. Security is the major or most significant in Real Connect, where full data encryption provides the best level of protection for users information and privacy. Adding to the high level of its security, the system has an added authentication capability in place, guaranteeing that only authorized participants could join meetings on this platform. Real Connect unifies all WebRTC functionalities, which enable features such as AI powered live translation and captions in an effective online interactive video conferencing package. These functionalities amplify both communication efficiency and diversely situated inclusive global teams engagement, further destroying existing linguistic barriers among team members or partners. Khushali Kumeriya | Khushi Sharma | Prof. Poonam Kale | Prof. Anupam Chaube "A New Era of Video Conferencing to Enhanced Professional Interactions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75033.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/75033/a-new-era-of-video-conferencing-to-enhanced-professional-interactions/khushali-kumeriya
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| MediTrackPro A Robust Platform for Efficient Medicine Stock and Information Management | | Author : Shreya Patle | Shreya Mate | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :Pharmaceutical inventory management is crucial to guaranteeing the timely supply of medications to consumers, hospitals, and clinics. This article describes the design, development, and deployment of StockMeds, an online pharmaceutical stock management system. StockMeds helps pharmacies, hospitals, and distributors to properly manage their inventory, track it in real time, estimate demand, and expedite procurement procedures. This system is intended to solve issues such as stockouts, overstocking, expiry tracking, and counterfeit pharmaceuticals. The paper goes into the system architecture, database design, major features, and possible advantages for pharmaceutical companies and healthcare providers. Shreya Patle | Shreya Mate | Prof. Anupam Chaube "MediTrackPro: A Robust Platform for Efficient Medicine Stock and Information Management" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75034.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75034/meditrackpro-a-robust-platform-for-efficient-medicine-stock-and-information-management/shreya-patle
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| WearItRent Bridging Local Shops and Consumers with Sustainable and Affordable Fashion Choices | | Author : Aditya Walde | Anish Dhamde | Prof. Poonam Kale | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :WearItRent presents a groundbreaking platform aimed at connecting local fashion retailers, such as boutiques and independent designers, with consumers seeking sustainable and affordable clothing options. The fast fashion industry, which is expanding rapidly, presents significant environmental and social issues, including excessive waste, resource depletion, and exploitative labor practices. This study explores how WearItRent, a peer to peer rental platform, can tackle these challenges by promoting a circular economy model within the fashion sector. Aditya Walde | Anish Dhamde | Prof. Poonam Kale | Prof. Anupam Chaube "WearItRent: Bridging Local Shops and Consumers with Sustainable and Affordable Fashion Choices" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75037.pdf Paper URL: https://www.ijtsrd.com/management/consumer-behaviour/75037/wearitrent-bridging-local-shops-and-consumers-with-sustainable-and-affordable-fashion-choices/aditya-walde
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| Leveraging Technology for Mental Health A Study on the Effectiveness of the Mental Well System in Psychological Disorder Identification | | Author : Rohan Andeo | Srushti Bhavik | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :The growing global burden of mental health disorders underscores the need for innovative approaches to their identification and management. Advances in technology are transforming the way mental health issues are addressed, offering tools that are more accessible, efficient, and scalable. The Mental Well System represents a pivotal innovation in this domain, focusing on the early detection and identification of psychological disorders using technological interventions.The Mental Well System is an integrated platform combining artificial intelligence, machine learning, and data analytics to assess mental health. It gathers data from multiple sources, such as self reported surveys, wearable devices, and social media activity, to evaluate psychological well being. The system employs predictive algorithms to analyze patterns and detect early signs of mental health conditions like depression, anxiety, and post traumatic stress disorder PTSD .One key advantage of the Mental Well System is its ability to deliver real time insights. Traditional methods of diagnosing psychological disorders often rely on lengthy consultations and subjective evaluations, which can delay intervention. By contrast, the Mental Well System accelerates the diagnostic process, enabling timely support and treatment.Additionally, the system promotes accessibility. Many individuals hesitate to seek professional help due to stigma, lack of awareness, or logistical barriers such as geographic distance or cost. The Mental Well System addresses these challenges by offering remote and affordable solutions, empowering users to monitor their mental health discreetly and proactively.The systems effectiveness is further enhanced by its personalization capabilities. Machine learning algorithms adapt to individual behavioral patterns, creating tailored mental health profiles. This personalized approach ensures that recommendations and interventions are relevant and impactful.However, challenges remain in leveraging technology for mental health. Issues such as data privacy, algorithmic bias, and the need for rigorous validation of digital tools are critical concerns. It is essential to balance technological innovation with ethical considerations and clinical standards. Rohan Andeo | Srushti Bhavik | Prof. Usha Kosarkar "Leveraging Technology for Mental Health: A Study on the Effectiveness of the Mental Well System in Psychological Disorder Identification" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75035.pdf Paper URL: https://www.ijtsrd.com/medicine/physiology/75035/leveraging-technology-for-mental-health-a-study-on-the-effectiveness-of-the-mental-well-system-in-psychological-disorder-identification/rohan-andeo
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| MentalWell An Innovative Smart System for Early Detection and Management of Psychological Disorders | | Author : Mr. Lokesh Gakhre | Mr. Harshal Raut | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :This research introduces MentalWell, an AI driven system designed to revolutionize early detection and management of psychological disorders during a global mental health crisis. It highlights AIs transformative potential in addressing challenges such as timely diagnosis, personalized treatment, and accessible care. Utilizing advanced machine learning and natural language processing NLP , MentalWell analyzes diverse data sources to identify mental health issues early and deliver tailored interventions.The study critiques traditional mental health assessments, showcasing AIs ability to overcome barriers with real time, scalable solutions. Ethical and privacy considerations are integral, ensuring algorithms remain culturally sensitive, unbiased, and secure. Key features include sentiment analysis and multimodal data integration for accurate assessments and actionable insights.A systematic methodology underpins the research, involving literature reviews, comparisons of existing AI models, and algorithm development. Applications include managing schizophrenia, autism, mood disorders, and neurodegenerative conditions, as well as supporting emotional regulation, online therapy, and treatment monitoring. Challenges like limited datasets, algorithmic fairness, and clinical integration are addressed using implementation science.The study concludes by envisioning advancements in early detection, multimodal technologies, and global clinical adoption. MentalWell establishes itself as a pioneering AI solution, setting a transformative trajectory for mental health care. Mr. Lokesh Gakhre | Mr. Harshal Raut | Prof. Usha Kosarkar "MentalWell: An Innovative Smart System for Early Detection and Management of Psychological Disorders" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75036.pdf Paper URL: https://www.ijtsrd.com/medicine/physiology/75036/mentalwell-an-innovative-smart-system-for-early-detection-and-management-of-psychological-disorders/mr-lokesh-gakhre
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| WearItRent An Innovative Approach to Redefining Fashion with Local Shop Based Clothing Rentals | | Author : Laxmikant S. Gakhare | Ayush R. Ghatole | Prof. Poonam Kale | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :The rise of fast fashion has led to significant environmental concerns, including excessive waste and resource depletion. In response, the clothing rental market has emerged as a sustainable alternative. This paper introduces WearItRent, an innovative online platform designed to connect local shops offering clothing rental services with consumers seeking affordable and eco friendly options. By leveraging advanced web technologies and user centric design principles, WearItRent aims to simplify the rental process, enhance accessibility, and foster community engagement. The platform integrates real time inventory management, secure payment gateways, and a location based search feature to optimize user experience. Initial studies suggest that WearItRent has the potential to reduce textile waste, support local businesses, and provide consumers with a convenient and sustainable alternative to traditional shopping. Future work includes expanding the platform’s capabilities to include personalized recommendations and scalability for larger markets. Laxmikant S. Gakhare | Ayush R. Ghatole | Prof. Poonam Kale | Prof. Anupam Chaube "WearItRent: An Innovative Approach to Redefining Fashion with Local Shop-Based Clothing Rentals" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75038.pdf Paper URL: https://www.ijtsrd.com/management/marketing-management/75038/wearitrent-an-innovative-approach-to-redefining-fashion-with-local-shopbased-clothing-rentals/laxmikant-s-gakhare
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| Revolutionizing Local Fashion The Impact of WearItRent on Clothing Rental and Consumer Behavior | | Author : Girishkumar B. Mouje | Kartik D. Thakre | Poonam Kale | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :The clothing rental marketplace WearItRent represents a transformative approach to local fashion consumption, challenging traditional retail models. This study examines how the platform influences consumer behavior, local clothing shops strategies, and sustainable fashion practices. Through mixed method research, the investigation explores the platforms impact on clothing accessibility, economic dynamics of local retailers, and shifting consumer attitudes toward temporary clothing ownership. Preliminary findings suggest WearItRent facilitates increased fashion diversity, reduces individual clothing consumption, and creates novel revenue streams for local shops. The research contributes insights into the evolving intersection of digital platforms, sustainable fashion, and local retail ecosystems.The study employs a mixed methodological approach, integrating quantitative survey data, in depth qualitative interviews, and economic impact analysis to examine WearItRents influence across three critical domains consumer accessibility, local retail dynamics, and environmental sustainability. By analyzing consumer motivations, behavioral shifts, and economic implications, the research provides nuanced insights into how digital rental platforms are reshaping traditional clothing consumption models. Girishkumar B. Mouje | Kartik D. Thakre | Poonam Kale | Prof. Anupam Chaube "Revolutionizing Local Fashion: The Impact of WearItRent on Clothing Rental and Consumer Behavior" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75039.pdf Paper URL: https://www.ijtsrd.com/management/consumer-behaviour/75039/revolutionizing-local-fashion-the-impact-of-wearitrent-on-clothing-rental-and-consumer-behavior/girishkumar-b-mouje
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| Development of a Web Based Product Price Comparison and Recommendation Engine | | Author : Akshat A. Patle | Aryan S. Hedau | Prof. Shubhara Chinchmalatpure | Prof. Smita Muley | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :In the current era of e commerce, online shopping has revolutionized consumer behavior. However, the abundance of online platforms often overwhelms users seeking the best prices for products. This paper introduces a web based Product Price Comparison and Recommendation Engine, a platform designed to simplify decision making for online shoppers. Leveraging real time data aggregation, machine learning algorithms, and user centric design principles, the proposed system provides accurate price comparisons and personalized product recommendations. This approach aims to enhance user satisfaction, save time, and foster informed purchase decisions. Preliminary analysis indicates significant potential for the system to disrupt traditional e commerce paradigms, enabling users to optimize both cost and convenience. Akshat A. Patle | Aryan S. Hedau | Prof. Shubhara Chinchmalatpure | Prof. Smita Muley | Prof. Usha Kosarkar "Development of a Web-Based Product Price Comparison and Recommendation Engine" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75040.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/75040/development-of-a-webbased-product-price-comparison-and-recommendation-engine/akshat-a-patle
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| Enhancing Consumer Decision Making through Automated Price Comparison System | | Author : Bhavesh Mahalle | Ayush Ahirkar | Prof. Shubhara Chinchmalatpure | | Abstract | Full Text | Abstract :The e commerce revolution has created vast opportunities for consumers, but the abundance of choices often overwhelms them. This paper introduces an Automated Price Comparison System to simplify consumer decision making by dynamically tracking and comparing prices across multiple retailers. This system consolidates product data, ensures real time price monitoring, and delivers tailored product recommendations based on user preferences. Key functionalities include real time price aggregation, user friendly interfaces, and historical price trend analysis. Additionally, the system employs algorithms to identify the best deals, incorporates multi retailer support, and adapts to changing market trends. Preliminary evaluations highlight its ability to save time, reduce costs, enhance consumer satisfaction, streamline purchasing decisions, and promote smarter and more informed shopping habits. Bhavesh Mahalle | Ayush Ahirkar | Prof. Shubhara Chinchmalatpure "Enhancing Consumer Decision Making through Automated Price Comparison System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75041.pdf Paper URL: https://www.ijtsrd.com/management/other/75041/enhancing-consumer-decision-making-through-automated-price-comparison-system/bhavesh-mahalle
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| Integrated Cognitive Workload Solutions An In Depth Analysis of the Jarvis Model | | Author : Santoshi Bucche | Sarthak Tiwari | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :As cognitive demands continually increase, novel workload management solutions are essential. The model of Jarvis, however, is a newly applied sophisticated theory for global cognitive load regulation. The subsequent sections of this paper delve into the inner workings of the Jarvis Model, discussing its theoretical foundations, architectural components, and real world use cases. It harnesses the capabilities of real time data synthesis, dynamic learning mechanisms, and multimedia integration to improve cognitive load balancing and decision making accuracy. Ultimately, through its synthesis of existing research and provision of actionable advice, this article adds to the discussion surrounding cognitive workload management and its underlying importance in enabling humans to function in complex systems. Santoshi Bucche | Sarthak Tiwari | Prof. Anupam Chaube "Integrated Cognitive Workload Solutions: An In-Depth Analysis of the Jarvis Model" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75042.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75042/integrated-cognitive-workload-solutions-an-indepth-analysis-of-the-jarvis-model/santoshi-bucche
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| Bridging the Gap Between Human Cognition and AI Assistance The Jarvies Paradigm | | Author : Riya Gujar | Sanket Paikrao | Prof. Poonam Kale | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :This paper presents the so called Jarvies Paradigm, which is a conceptual framework for thinking about Human AI collaboration. The paradigm emphasizes, particularly in the context of AIs influence on human cognition, that AI should be considered more than just a tool an active partner in the augmentation of thought processes, problem solving capabilities, and decision making. It considers salient developments in artificial intelligence and cognitive science aimed at designing systems closer to human cognitive complexity. This article sketches these challenges primarily the divergence of human emotional, creative thinking from data driven algorithms employed by AI. In filling this void, new approaches are proposed that create adaptive AI systems capable of understanding human interaction, learning, and emotions with people. In an integrated future for increased efficiency, creativity along with meaningful outcomes cognitive abilities of humans alongside AIs complementing rather than replacing human intelligence will play a vital role. Riya Gujar | Sanket Paikrao | Prof. Poonam Kale | Prof. Anupam Chaube "Bridging the Gap Between Human Cognition and AI Assistance: The Jarvies Paradigm" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75043.pdf Paper URL: https://www.ijtsrd.com/computer-science/artificial-intelligence/75043/bridging-the-gap-between-human-cognition-and-ai-assistance-the-jarvies-paradigm/riya-gujar
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| Transforming HealthCare with DocHub Insights Into Real Time Availability Solutions | | Author : Ayush Paripagare | Atharva Taywade | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :Hospital Management System is an organized computerized system designed and programmed to deal with day to day operations and management of hospital activities. The program can look after inpatients, outpatients, records, database treatments, status illness, billings in the pharmacy, and labs. It also maintains hospital information such as ward id, doctors in charge, and department administering. The major problem for the patient nowadays is to get the report after consultation, many hospitals managing reports in their system but its not available to the patient when he she is outside. In this project, we are going to provide the extra facility to store the report in the database and make it available from anywhere in the world Ayush Paripagare | Atharva Taywade | Prof. Usha Kosarkar "Transforming HealthCare with DocHub: Insights Into Real-Time Availability Solutions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75044.pdf Paper URL: https://www.ijtsrd.com/medicine/other/75044/transforming-healthcare-with-dochub-insights-into-realtime-availability-solutions/ayush-paripagare
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| Organic Nutrition Strategies for Disease Prevention and Management | | Author : Payal Sandel | Raj Bagde | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :Chronic diseases such as cardiovascular ailments, diabetes, and cancer are significant contributors to global mortality. Nutrition plays a crucial role in both the prevention and management of these diseases. This paper explores how organic nutrition strategies, characterized by the consumption of minimally processed and pesticide free foods, can mitigate disease risks and enhance health outcomes. Through a review of current scientific literature and case studies, the paper highlights the role of organic produce, whole grains, and bioactive compounds in disease prevention. Furthermore, it identifies gaps in research and provides recommendations for future studies. Payal Sandel | Raj Bagde | Prof. Anupam Chaube "Organic Nutrition Strategies for Disease Prevention and Management" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75053.pdf Paper URL: https://www.ijtsrd.com/home-science/food-and-nutrition/75053/organic-nutrition-strategies-for-disease-prevention-and-management/payal-sandel
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| Exploring the Features and Benefits of RealEstateConnect for Property Stakeholders | | Author : Swapnil Rangari | Sujal Khaire | Prof. Shubhra Chinchmalatpure | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :The real estate market has long been plagued by inefficiencies, lack of transparency, and cumbersome processes for buyers, sellers, and renters. RealEstateConnect is a cutting edge digital platform designed to revolutionize property transactions by integrating advanced technologies and user centric features. This platform aims to streamline property buying, selling, and renting processes while fostering trust, efficiency, and accessibility.At its core, RealEstateConnect offers a centralized hub where users can access a wide array of features, including AI driven property recommendations, real time market analytics, secure digital documentation, and verified listings. By leveraging blockchain technology, the platform ensures secure, tamper proof transactions and enables smart contracts to automate agreements. AI powered tools analyze user preferences, market trends, and property data to provide personalized recommendations, reducing the time spent on property searches.For buyers and renters, RealEstateConnect offers a seamless browsing experience, virtual property tours, and financial tools such as mortgage calculators and pre qualification checks. Sellers benefit from enhanced property exposure through targeted advertising and dynamic pricing suggestions based on market conditions. Property managers and landlords can utilize the platform to manage listings, screen tenants, and handle payments efficiently.The platforms robust ecosystem fosters collaboration among real estate agents, legal professionals, and financial institutions, creating a transparent and integrated workflow. Additionally, RealEstateConnect prioritizes user trust by incorporating advanced security measures and compliance with regional real estate regulations.Through a combination of innovative technology and a user first approach, RealEstateConnect addresses the challenges of the traditional real estate market. It delivers a seamless, efficient, and secure experience for all stakeholders, ultimately transforming the way property transactions are conducted in the digital age. Swapnil Rangari | Sujal Khaire | Prof. Shubhra Chinchmalatpure | Prof. Usha Kosarkar "Exploring the Features and Benefits of RealEstateConnect for Property Stakeholders" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75047.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75047/exploring-the-features-and-benefits-of-realestateconnect-for-property-stakeholders/swapnil-rangari
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| The Role of Organic Diets in Managing Chronic Diseases A Comprehensive Review | | Author : Saloni Ghode | Riya Kinhekar | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :Chronic diseases, including diabetes, cardiovascular conditions, and cancer, continue to pose significant challenges to global health. Amid growing interest in dietary interventions, organic diets have emerged as a promising approach to disease prevention and management. This review provides a detailed analysis of the potential role of organic diets in addressing chronic diseases by examining their nutritional benefits, reduced chemical exposure, and environmental sustainability. Organic foods are characterized by higher levels of essential nutrients, antioxidants, and bioactive compounds, coupled with minimal exposure to synthetic pesticides and additives. These qualities may contribute to reduced inflammation, improved metabolic health, and enhanced immune function. The paper synthesizes current evidence from clinical studies, epidemiological research, and meta analyses to evaluate the effectiveness of organic diets in mitigating risk factors and progression of chronic illnesses. Additionally, the review highlights challenges such as affordability, accessibility, and gaps in long term research. By offering an original perspective on the interplay between organic diets and chronic disease management, this review underscores the need for integrating organic nutrition into public health policies and encourages further investigation into its long term benefits. Saloni Ghode | Riya Kinhekar | Prof. Anupam Chaube "The Role of Organic Diets in Managing Chronic Diseases: A Comprehensive Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75052.pdf Paper URL: https://www.ijtsrd.com/medicine/other/75052/the-role-of-organic-diets-in-managing-chronic-diseases-a-comprehensive-review/saloni-ghode
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| Organic Food as a Therapeutic Approach Diet Plans for Managing Cardiovascular, Diabetes, and Digestive Disorders | | Author : Sakshi Maske | Aman Shendre | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :The escalating prevalence of lifestyle related disorders, such as cardiovascular diseases CVDs , diabetes, and digestive disorders, has highlighted the critical need for sustainable and health oriented dietary interventions. Organic food, characterized by its cultivation without synthetic chemicals and rich nutrient profiles, has garnered attention for its potential therapeutic benefits. This study explores the role of organic food as a cornerstone in diet plans designed to manage and mitigate the progression of these chronic conditions. By emphasizing the synergistic benefits of bioactive compounds, such as polyphenols, antioxidants, and dietary fiber prevalent in organic produce, we propose evidence based dietary frameworks tailored to the unique physiological demands of individuals with CVDs, diabetes, and digestive disorders.Through an integrative approach, the research examines how organic food impacts glycemic control, lipid profiles, and gut microbiota modulation, thereby addressing the multifaceted aspects of these diseases. The study also discusses the potential of organic diets to reduce inflammation, oxidative stress, and dietary toxin exposure, further enhancing their therapeutic value. This abstract underscores the importance of integrating organic food into personalized nutrition strategies as a sustainable, preventative, and curative approach for managing modern health challenges. Future research directions include clinical trials to validate long term benefits and assessing the economic feasibility of organic dietary interventions in diverse populations. Sakshi Maske | Aman Shendre | Prof. Anupam Chaube "Organic Food as a Therapeutic Approach: Diet Plans for Managing Cardiovascular, Diabetes, and Digestive Disorders" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75054.pdf Paper URL: https://www.ijtsrd.com/medicine/other/75054/organic-food-as-a-therapeutic-approach-diet-plans-for-managing-cardiovascular-diabetes-and-digestive-disorders/sakshi-maske
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| Efficiency and User Experience Key Features of FlySmart Booking System | | Author : Bhushan Patil | Nishant Bhongade | Prof. Usha Kosharkar | | Abstract | Full Text | Abstract :FlySmart brings together innovative airline technology and user friendly accessibility to travel related services and financial transactions.. This platform helps everyone by making it easier to travel by air, lowering barriers to transactions, and making finances clearer for users. FlySmart can help solve very important problems related to the travel industry, which include slow processes in booking, lack of accessibility for some users, and anxiety about the security of payments. It builds confidence among users by using new features, such as updates in real time, user friendly designs, and safe systems for payment. The system further provides additional services, such as paying in several currencies and individualized suggestions that meet the multiple needs of diverse users around the world. The paper talks about how platforms like FlySmart can make important travel services easier to access, which supports economic participation. It will closely examine big problems like digital skills, infrastructure issues, and following rules. It will also discuss possible technology and policy solutions to overcome these challenges. This review shows how FlySmart helps to make airline booking easier and fairer for all. This work supports better economic growth and reduces obstacles to travel for all people by looking closely at industry trends, case studies, and new ideas. Bhushan Patil | Nishant Bhongade | Prof. Usha Kosharkar "Efficiency and User Experience: Key Features of FlySmart Booking System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75056.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75056/efficiency-and-user-experience-key-features-of-flysmart-booking-system/bhushan-patil
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| FlySmart Comprehensive Airline Booking System | | Author : Prasanna Darne | Niraj Singh | Prof. Usha Kosharkar | | Abstract | Full Text | Abstract :In the digital arena, the nature of airline bookings demands strong system support to deliver high traffic throughput while providing comfort to the end user. In this regard, FlySmart forms a comprehensive set of airline bookings that provide not only an appealing interface but also efficient processing at the back end and ensured payment solutions at the front end. This paper would provide an all inclusive assessment of the FlySmart system architecture, essential functionalities, and performance evaluation. We show through measuring the system response times, scalability, security, and reliability in load that FlySmart offers a reliable high performance solution to the management of flight bookings. Our performance tests also show that this system is highly efficient at handling large amounts of data as well as managing multiple concurrent users while keeping all transactions secure a promising solution for the modern airline industry. This review further details some areas that the application might enhance and become even more scalable as the needs of the airline sector evolve over time. Prasanna Darne | Niraj Singh | Prof. Usha Kosharkar "FlySmart: Comprehensive Airline Booking System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75057.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75057/flysmart-comprehensive-airline-booking-system/prasanna-darne
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| MediTrackPro A Technological Approach to Medicine Information Management and Stock Optimization | | Author : Siddhi Jathade | Gayatri Aglave | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :The StockMeds system is built in order to replace manual based system to computerize. Here system is expected to be efficient, useful and affordable on implementing tasks that is instructed by the pharmacy manager. Software do all things in pharmacy like sale, insert new incoming goods, make bills, calculate taxes, and debt, also compute employees salaries, give information about products, make different statistics as best month to sale some product via provide charts, also manage employees work. Siddhi Jathade | Gayatri Aglave | Prof. Anupam Chaube "MediTrackPro: A Technological Approach to Medicine Information Management and Stock Optimization" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75058.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75058/meditrackpro-a-technological-approach-to-medicine-information-management-and-stock-optimization/siddhi-jathade
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| MediTrackPro Revolutionizing Medicine Stock Management with a Robust Digital Platform | | Author : Vaidehi Plilondre | Bhagyashree Dhabale | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :Efficient pharmacy management is a critical component in the modern healthcare system. StockMeds offers an innovative approach to streamlining pharmacy operations, tackling challenges such as inventory tracking, prescription management, and compliance with healthcare regulations. This paper explores the development and potential impact of StockMeds, a robust and user friendly software designed to improve efficiency, reduce operational costs, and enhance patient safety. It also highlights the scalability and adaptability of the solution for diverse pharmacy setups, from independent drugstores to large chains. Vaidehi Plilondre | Bhagyashree Dhabale | Prof. Anupam Chaube "MediTrackPro: Revolutionizing Medicine Stock Management with a Robust Digital Platform" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75059.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75059/meditrackpro-revolutionizing-medicine-stock-management-with-a-robust-digital-platform/vaidehi-plilondre
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| Strengthening Transaction Authentication A Study on the Effectiveness of One Time Passwords OTP | | Author : Anshul Kumbhare | Aditya Tripathi | Usha Kosalkar | Shubhra Chinchmalapure | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :In the digital era, transaction security is a growing concern due to increasing cyber threats. One Time Passwords OTPs are widely used as an additional authentication layer to protect sensitive transactions. This study examines the effectiveness of OTPs in securing transactions, their advantages, vulnerabilities, and potential alternatives. By analyzing case studies and security trends, the research highlights the strengths and weaknesses of OTP authentication and proposes improvements to enhance transaction security. Anshul Kumbhare | Aditya Tripathi | Usha Kosalkar | Shubhra Chinchmalapure | Prof. Anupam Chaube "Strengthening Transaction Authentication: A Study on the Effectiveness of One-Time Passwords (OTP)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75061.pdf Paper URL: https://www.ijtsrd.com/economics/financial-economics/75061/strengthening-transaction-authentication-a-study-on-the-effectiveness-of-onetime-passwords-otp/anshul-kumbhare
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| Cryptoforecast A Comparative Analysis of AI Models in Cryptocurrency Price Prediction | | Author : Ayush Bais | Nirbhay Headau | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :The volatile nature of cryptocurrency markets presents a significant challenge for traders and investors seeking reliable price forecasts. Recent advancements in artificial intelligence AI have led to the development of various predictive models aimed at improving accuracy in cryptocurrency price prediction. This study provides a comparative analysis of AI models used for cryptocurrency forecasting, including machine learning approaches such as Support Vector Machines SVM , Random Forest RF , and deep learning techniques like Long Short Term Memory LSTM networks, Transformer based models, and hybrid ensembles. The analysis evaluates each models performance based on key metrics such as mean absolute error MAE , root mean square error RMSE , and directional accuracy. Additionally, factors influencing model efficacy, such as feature selection, data preprocessing, and market sentiment integration, are explored. Findings indicate that deep learning models, particularly LSTM and Transformer based architectures, exhibit superior performance in capturing the non linear dependencies and temporal patterns of cryptocurrency markets. However, hybrid models integrating multiple AI techniques show promise in enhancing prediction robustness. This research underscores the importance of model selection and data preprocessing in optimizing cryptocurrency price predictions and offers insights into future developments in AI driven financial forecasting. Ayush Bais | Nirbhay Headau | Prof. Anupam Chaube "Cryptoforecast: A Comparative Analysis of AI Models in Cryptocurrency Price Prediction" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75060.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75060/cryptoforecast-a-comparative-analysis-of-ai-models-in-cryptocurrency-price-prediction/ayush-bais
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| A Comprehensive Approach to Transaction Security Enhancement Using OTP Mechanisms | | Author : Alok Mishra | Vasanth Tewar | Usha Kosalkar | Shubhra Chinchmalapure | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :The increasing prevalence of online transactions and digital banking has made securing sensitive data crucial. Traditional authentication methods such as usernames and passwords are vulnerable to various types of cyber threats, including phishing, man in the middle attacks, and credential theft. This paper explores the use of One Time Password OTP mechanisms as a vital layer in enhancing transaction security. It provides a thorough analysis of OTP generation, transmission, and validation techniques, highlights advantages, challenges, and proposes best practices for integrating OTP in modern transaction systems. The study also considers the future of OTP technology and its evolving role in multi factor authentication strategies. Alok Mishra | Vasanth Tewar | Usha Kosalkar | Shubhra Chinchmalapure | Prof. Anupam Chaube "A Comprehensive Approach to Transaction Security Enhancement Using OTP Mechanisms" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75062.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/75062/a-comprehensive-approach-to-transaction-security-enhancement-using-otp-mechanisms/alok-mishra
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| Bridging the Gap Jarvis as an Intelligent Cognitive Workload Assistance System | | Author : Sanskruti Galewar | Santoshi Bucche | Sarthak Tiwari | Om Tayade | Sanket Paikrao | Riya Gujar | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :Researchers develop Cognitive workload management as a contemporary scientific field dedicated to optimizing performance during complex work activities. The development of artificial intelligence AI and natural language processing NLP technology led to the increasing popularity of Jarvis type cognitive workload assistance systems. This review examines both the present status in cognitive workload management as well as the function of AI based assistants and the capability of Jarvis as an intelligent cognitive workload assistance system. The review assesses its design structure together with functionality and software applications and implementation challenges preceding advancement recommendations for future development work. Sanskruti Galewar | Santoshi Bucche | Sarthak Tiwari | Om Tayade | Sanket Paikrao | Riya Gujar | Prof. Anupam Chaube "Bridging the Gap: Jarvis as an Intelligent Cognitive Workload Assistance System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76205.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76205/bridging-the-gap-jarvis-as-an-intelligent-cognitive-workload-assistance-system/sanskruti-galewar
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| Leveraging Eye Tracking for Timely Diagnosis The SmartVision Eye Health Monitoring System | | Author : Aachal Barange | Bhumika Derkar | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :This paper delves into the innovative use of eye tracking technology to revolutionize the timely diagnosis and monitoring of various eye health conditions. SmartVision, as a cutting edge system, leverages non invasive and highly precise eye tracking to detect subtle ocular movements that serve as indicators of underlying health issues. The study comprehensively explores the technological advancements that underpin this system, its design principles, and the broad spectrum of healthcare applications. Employing a robust mixed methods approach—including extensive clinical trials, real time data analysis, and valuable patient feedback—the research highlights how AI driven insights integrated with eye tracking data can elevate preventive care and foster early medical interventions. By addressing critical challenges like diagnostic delays, patient outcomes, and healthcare costs, SmartVision holds transformative potential. This paper also examines issues like data privacy, system accessibility, and the need for interdisciplinary collaboration, concluding with practical recommendations for advancing this field further. Aachal Barange | Bhumika Derkar | Prof. Usha Kosarkar "Leveraging Eye Tracking for Timely Diagnosis: The SmartVision Eye Health Monitoring System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75063.pdf Paper URL: https://www.ijtsrd.com/medicine/ophthalmology/75063/leveraging-eye-tracking-for-timely-diagnosis-the-smartvision-eye-health-monitoring-system/aachal-barange
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| Fake Logo Detection System Using AI and Web Scraping Techniques | | Author : Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :Fake logos are increasingly being used by counterfeiters to deceive customers and damage brand reputation. Detecting and eliminating these counterfeit logos is critical to ensuring brand authenticity and consumer trust. This paper explores the development of a Fake Logo Detection System leveraging Artificial Intelligence AI and web scraping techniques. Web scraping is utilized to collect a comprehensive dataset of logos from online sources, while AI, particularly Convolutional Neural Networks CNNs , is employed to analyze and detect inconsistencies in logo designs. The system identifies counterfeit logos by comparing their features, such as fonts, colors, and patterns, against a database of genuine logos. The proposed solution provides a scalable, automated method for protecting brands, monitoring social media, and securing e commerce platforms from counterfeit products. This approach highlights the importance of integrating AI and web scraping to address real world challenges in combating logo counterfeiting effectively. Prof. Usha Kosarkar "Fake Logo Detection System Using AI and Web Scraping Techniques" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75067.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75067/fake-logo-detection-system-using-ai-and-web-scraping-techniques/prof-usha-kosarkar
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| E Vote Enhancing Security and Transparency in Digital Elections | | Author : Mohammad Suhail Ali | Prof. Smita Muley | Sujal Yeramwar | Prof. Shubhara Chinchmalatpure | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :Electronic voting e voting is an innovative approach to modernizing electoral processes by enabling votes to be cast and counted electronically. This method offers significant advantages, including improved accessibility, faster vote tallying, reduced costs, and a decreased environmental footprint. However, the adoption of e voting presents challenges, particularly regarding cybersecurity risks, transparency concerns, data privacy, and the digital divide. Ensuring secure and transparent e voting systems requires robust solutions, such as blockchain technology, end to end encryption, voter verified paper audit trails, and open source software. Public education and independent audits are also critical to building trust in these systems. As technology evolves, e voting has the potential to revolutionize democratic participation, provided that security and transparency remain top priorities. Mohammad Suhail Ali | Prof. Smita Muley | Sujal Yeramwar | Prof. Shubhara Chinchmalatpure | Prof. Anupam Chaube "E-Vote: Enhancing Security and Transparency in Digital Elections" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75075.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75075/evote-enhancing-security-and-transparency-in-digital-elections/mohammad-suhail-ali
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| Cryptoforecast An AI Driven Cryptocurrncy Prediction Model | | Author : Aryan Thakre | Saurabh Thakre | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :Cryptocurrency markets are highly volatile and difficult to predict, posing significant challenges for investors, traders, and analysts. This paper introduces CryptoForecast, an AI driven cryptocurrency prediction model designed to forecast price movements and trends in digital currencies. Leveraging machine learning ML and deep learning DL techniques, CryptoForecast utilizes large scale historical data, including price patterns, trading volumes, sentiment analysis from social media, and macroeconomic indicators, to generate accurate predictions. The model integrates a variety of algorithms such as Long Short Term Memory LSTM networks, decision trees, and reinforcement learning to improve prediction accuracy over time. Results demonstrate the effectiveness of CryptoForecast in forecasting short term and long term price trends, offering a valuable tool for market participants. By continuously learning from new data and adjusting to changing market conditions, CryptoForecast can provide insights that help optimize investment strategies and enhance decision making processes in the dynamic and often unpredictable world of cryptocurrency. Aryan Thakre | Saurabh Thakre | Prof. Anupam Chaube "Cryptoforecast: An AI - Driven Cryptocurrncy Prediction Model" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75068.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/75068/cryptoforecast-an-ai--driven-cryptocurrncy-prediction-model/aryan-thakre
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| Fertilizer Waste Management System A Review | | Author : Tushar Kanojiya | Tupesh Kapse | Prof. Subhra Chinchmalatpure | Prof. Anupam Choube | | Abstract | Full Text | Abstract :The increasing use of fertilizers in agriculture has raised concerns about waste management and environmental impact. This review explores a novel platform to manage and minimize fertilizer waste by connecting farmers with recycling companies. The proposed system incorporates three panels Company Account, Farmer Account, and Dispatcher, to streamline fertilizer distribution, storage, and recycling. The platform aims to enhance agricultural productivity while ensuring sustainable practices. Tushar Kanojiya | Tupesh Kapse | Prof. Subhra Chinchmalatpure | Prof. Anupam Choube "Fertilizer Waste Management System: A Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75077.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75077/fertilizer-waste-management-system-a-review/tushar-kanojiya
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| Transparency in Digital Voting Analyzing the E Vote Framwork | | Author : Dipak Shanichare | Prof. Smita Muley | Prof. Shubhara Chinchmalatpure | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :Transparency in Digital Voting and Analyzing the E Vote Framework.Digital voting systems have gained prominence as a modern alternative to traditional paper based elections, offering convenience, efficiency, and accessibility. However, ensuring transparency in digital voting remains a critical challenge due to concerns about security, voter anonymity, data integrity, and public trust. This paper explores the concept of transparency in electronic voting e voting systems by analyzing key aspects such as verifiability, auditability, and cryptographic security.We examine existing e voting frameworks and assess their effectiveness in maintaining transparency while preventing fraud, manipulation, and cyber threats. Additionally, blockchain based voting and end to end verifiable election protocols are discussed as potential solutions for enhancing transparency and trustworthiness. The study also reviews legal and ethical considerations in implementing e voting systems across different jurisdictions By evaluating the strengths and weaknesses of various digital voting frameworks, this research aims to provide insights into improving transparency, fostering voter confidence, and ensuring the integrity of democratic processes in the digital age. Dipak Shanichare | Prof. Smita Muley | Prof. Shubhara Chinchmalatpure | Prof. Usha Kosarkar "Transparency in Digital Voting: Analyzing the E-Vote Framwork" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75069.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75069/transparency-in-digital-voting-analyzing-the-evote-framwork/dipak-shanichare
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| One Stop Service Portal Revolutionizing Household Service Accessibility through Digital Platforms | | Author : Poonam Patle | Nidhi Pandey | Usha Kosalkar | Shubhara Chmalatpure | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :One stop service portal is a easily to access to any where any one can access to householder service to an any emergency or functions, parties are to be house holders are mainly to pandits, house repairs, renovation, electricians, plumbers and more. Here we can communicate between user to professional persons to easily communicate. It is generally to work with professional worker. It is trustworthy or princely platform or also trustable for online transaction in online platform. Mainly, to one of the main point is all of the online platforms are to via network to highly recognized. The advent of digital platforms has significantly transformed the way household services are accessed and managed. The One Stop Service Portal aims to revolutionize household service accessibility by consolidating various services into a single, easy to use digital interface. This platform is designed to streamline the booking, payment, and management of essential services such as cleaning, maintenance, repairs, and installation, offering a seamless experience for users. By integrating service providers, customers, and payment systems in one place, the portal eliminates the complexities associated with traditional methods of finding and hiring service professionals. Furthermore, the platform enhances customer convenience through features like real time scheduling, service tracking, and reviews, ensuring transparency and reliability. This abstract explores the key benefits, challenges, and potential impacts of the One Stop Service Portal, underscoring its role in bridging the gap between household service providers and consumers, while contributing to a more efficient and accessible service economy. Poonam Patle | Nidhi Pandey | Usha Kosalkar | Shubhara Chmalatpure | Prof. Anupam Chaube "One Stop Service Portal: Revolutionizing Household Service Accessibility through Digital Platforms" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75070.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75070/one-stop-service-portal-revolutionizing-household-service-accessibility-through-digital-platforms/poonam-patle
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| Improving Household Service Delivery with One Stop Service Portal A Technological Approach to Trust and Accessibility | | Author : Mahek Thakur | Neha Rasekar | Usha Kosalkar | Shubhara Chmalatpure | | Abstract | Full Text | Abstract :The effective delivery of household services is crucial to modern living, yet it often faces challenges such as lack of transparency, inconsistent service quality, and limited accessibility to reliable service providers. One stop service portal presents a comprehensive technological solution designed to bridge these gaps by leveraging innovative tools for seamless service management, trust building mechanisms, and enhanced customer experience. This platform integrates advanced features such as real time booking, secure payment systems, customer reviews, and AI driven service recommendations to ensure personalized and efficient service delivery. By prioritizing trust and accessibility, One stop service portal connects users with verified professionals, fostering confidence in service reliability while promoting accountability among service providers. Furthermore, its user centric interface simplifies scheduling, communication, and feedback processes, making household service management intuitive and stress free. The paper explores One stop service portal’s role in transforming traditional service models by employing cutting edge technology to create a trustworthy and accessible ecosystem that benefits both consumers and service providers, ultimately contributing to improved household service delivery in todays fast paced world Mahek Thakur | Neha Rasekar | Usha Kosalkar | Shubhara Chmalatpure "Improving Household Service Delivery with One Stop Service Portal: A Technological Approach to Trust and Accessibility" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75071.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75071/improving-household-service-delivery-with-one-stop-service-portal-a-technological-approach-to-trust-and-accessibility/mahek-thakur
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| Connecting Households with Reliable Service Providers A Study on One Stop Service Portal | | Author : Karthik Setty | Nutan Urkhunde | Usha Kosalkar | Shubhara Chmalatpure | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :One stop service portal contain all digital market places that offer timely access to a broad range of home facilities. The worldwide requirement for these types of facilities is rising owing to the ease of accessibility and convenience which are provided by these facilities. Similarly, this platform link consumers with service providers and manage payment and billing transactions, which makes the payment process easier for customers. The rising number and marketing campaigns is a trend that will contribute to market growth.Additionally, the service helps connecting users with a large number of service providers and their work in just one click. Home services are gaining popularity as a result of their time saving capabilities that help consumers customers users in accessing the needed services within the comfort of their homes with the help of only one click, further saving both time and money. The global online on demand home services market can be segmented into type, services, and geography. In terms of type, the market can be segmented into cellular and non cellular. In terms of services, the market can segmented into food, retail, media, and entertainment, healthcare, carpentry, and home welfare.Therefore, we as a team group decided that this service is important for our country but mostly these type of services are not available at every location so we’ll make this website for Nagpur city so that we cover every possible location for better services everywhere in Nagpur. By this user can easily avail the needed with none difficulty and delay.Online Booking is an e commerce web application which allows viewing various services available for registered users to book. One Stop Service Portal permits a customer to submit online orders for Services. This online system presents an online display of all the services it provides. This web based application helps customers to choose their services and add that services to their cart. Customers provides their complete detail of address and contact and they get their chosen services in their home. The expected outcome for this project is that the customer can order home day to day life services and trustable professional workers from home. Karthik Setty | Nutan Urkhunde | Usha Kosalkar | Shubhara Chmalatpure | Prof. Anupam Chaube "Connecting Households with Reliable Service Providers: A Study on One-Stop Service Portal" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75073.pdf Paper URL: https://www.ijtsrd.com/computer-science/other/75073/connecting-households-with-reliable-service-providers-a-study-on-onestop-service-portal/karthik-setty
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| Predicting the Future of Cryptocurrencies An Analysis of the Crypto Forecast Model | | Author : Akshad Patel | Ayush Medpilwar | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :The future of cryptocurrency continues to be a highly debated topic among economists, investors, and technologists. This paper presents an analysis of cryptocurrency forecast models, focusing on their predictive accuracy and the influencing factors shaping the crypto market. The forecast incorporates a mix of historical trends, technical indicators, macroeconomic variables, and technological advancements. Additionally, the model accounts for evolving regulatory frameworks, adoption rates, market sentiment, and global financial dynamics.Cryptocurrency, being a relatively nascent asset class, is subject to extreme volatility and uncertainty. The analysis highlights key patterns such as the four year Bitcoin halving cycle, correlations with traditional financial markets, and the impact of institutional adoption. Emerging trends, such as decentralized finance DeFi , non fungible tokens NFTs , and central bank digital currencies CBDCs , are also explored to assess their potential influence on the future of the market.The study reveals that while short term predictions remain challenging due to speculative trading and unpredictable external factors, long term trends point to increasing integration of cryptocurrency into the global economy. Nonetheless, the forecast emphasizes that cryptocurrencys future is contingent on technological innovation, regulatory clarity, and public trust. The findings aim to provide investors and policymakers with a nuanced understanding of the crypto landscape and help navigate its complexities. Akshad Patel | Ayush Medpilwar | Prof. Usha Kosarkar "Predicting the Future of Cryptocurrencies: An Analysis of the Crypto Forecast Model" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75074.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75074/predicting-the-future-of-cryptocurrencies-an-analysis-of-the-crypto-forecast-model/akshad-patel
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| Fake Logo Detection System using Python | | Author : Kalpesh Dhulse | Kartik Dighore | Prof. Smita Muley | Prof. Shubha Chinchmalatpure | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :The rapid proliferation of digital branding across various industries has led to an increase in logo counterfeiting and brand impersonation. Counterfeit logos not only undermine brand integrity but also contribute to financial losses and legal challenges for companies. In response to this growing concern, this paper presents a Fake Logo Detection System developed using Python, which utilizes advanced machine learning techniques to identify counterfeit logos and distinguish them from authentic designs. The system is built on Convolutional Neural Networks CNNs , a deep learning model that excels in image recognition tasks. By training the CNN on a comprehensive dataset containing both real and fake logos, the model learns to extract intricate visual features and patterns unique to genuine logos, allowing for accurate classification. The proposed system is designed to be scalable and adaptable, offering a practical solution for businesses, e commerce platforms, and consumers to verify the authenticity of logos and protect intellectual property rights. Furthermore, the system can be integrated into web applications or security tools to automate the detection process, making it easier to prevent brand impersonation and safeguard the trust of customers. Experimental results show that the system achieves high accuracy in fake logo detection, demonstrating its potential as an effective tool in combating digital piracy and brand fraud in the digital age. Kalpesh Dhulse | Kartik Dighore | Prof. Smita Muley | Prof. Shubha Chinchmalatpure | Prof. Usha Kosarkar "Fake Logo Detection System using Python" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75076.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75076/fake-logo-detection-system-using-python/kalpesh-dhulse
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| Evaluating FakeAlert A Machine Learning Model for Real Time Falsified News Detection and Verification | | Author : Monika Chaudhary | Pratik Gour | Maheshwari Dhapare | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :In an era characterized by the rapid dissemination of information, the proliferation of falsified news poses significant challenges to public discourse and societal trust. This paper presents FakeAlert, a machine learning model designed to detect and verify falsified news in real time. Leveraging advanced natural language processing NLP techniques and a robust dataset comprising diverse news sources, FakeAlert employs a multi faceted approach to identify linguistic patterns, sentiment, and source credibility. The model utilizes classification algorithms such as Support Vector Machines SVM and Neural Networks to discern genuine news from misinformation effectively.Despite its innovative framework, FakeAlert faces several limitations, including reliance on high quality training data, susceptibility to false positives and negatives, and challenges in adapting to evolving misinformation tactics. Additionally, the models performance is contingent upon continuous updates to address emerging trends in fake news creation. This paper discusses the architecture of FakeAlert, evaluates its performance against existing benchmarks, and highlights areas for future research to enhance its accuracy and reliability. The findings underscore the importance of integrating machine learning solutions in the fight against misinformation while acknowledging the need for ongoing adaptation in response to an ever changing information landscape. Monika Chaudhary | Pratik Gour | Maheshwari Dhapare | Prof. Usha Kosarkar "Evaluating FakeAlert: A Machine Learning Model for Real-Time Falsified News Detection and Verification" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75078.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75078/evaluating-fakealert-a-machine-learning-model-for-realtime-falsified-news-detection-and-verification/monika-chaudhary
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| FakeAlert An Innovative Machine Learning Framework for Identifying and Combatting Falsified News | | Author : Monika Chaudhary | Shaijal Aher | Isha Wararkar | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :Recent research on fake news detection has led to the development of innovative machine learning frameworks that leverage various algorithms and methodologies to combat misinformation effectively. One study investigates the integration of content and social context features, proposing a novel detection method that outperforms existing approaches with an accuracy improvement of up to 4.8 . Another paper explores logistic regression, Support Vector Machines SVM , and ensemble methods, highlighting the superior performance of ensemble techniques in enhancing classification accuracy. Additionally, a conceptual framework combining machine learning with blockchain technology has been proposed to assign credibility ratings to news content, further improving reliability in information dissemination. Other studies focus specifically on Indian media, demonstrating the effectiveness of automated systems tailored to local contexts. Collectively, these advancements underscore the critical role of machine learning in identifying and combatting falsified news across diverse platforms and cultural settings.A notable tool developed by researchers at Keele University demonstrates a remarkable 99 accuracy in detecting fake news through an ensemble voting technique that combines predictions from multiple models. This method not only enhances reliability but also addresses the urgent need for innovative solutions to combat misinformation, as emphasized by lead researcher Dr. Uchenna Ani. In another study, researchers explored the use of natural language processing NLP and deep learning methods, achieving an accuracy of 89 by analyzing textual content, writing style, and source legitimacy. Their hybrid architecture incorporates attention mechanisms and Bidirectional Long Short Term Memory BiLSTM networks to effectively identify subtly altered facts and contextually deceptive materials. Monika Chaudhary | Shaijal Aher | Isha Wararkar | Prof. Usha Kosarkar "FakeAlert: An Innovative Machine Learning Framework for Identifying and Combatting Falsified News" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75079.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75079/fakealert-an-innovative-machine-learning-framework-for-identifying-and-combatting-falsified-news/monika-chaudhary
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| Identifying Fake Logos on the Internet A Study of AI Models and Web Scraping Efficiency | | Author : Prof. Anupam Chaube | | Abstract | Full Text | Abstract :In the digital age, the prevalence of fake logos on the internet poses a significant challenge to businesses, consumers, and the overall integrity of online branding. This study explores the effectiveness of artificial intelligence AI models combined with web scraping techniques for identifying counterfeit logos across various online platforms. The research investigates the application of deep learning algorithms, such as convolutional neural networks CNNs , to recognize authentic logos and distinguish them from their forged counterparts. Additionally, the paper examines the role of web scraping tools in efficiently collecting large datasets of logos from the internet for training and evaluation. The study highlights key challenges, including the variability of fake logos, website structure complexities, and data quality issues, while also proposing solutions to improve model accuracy and scraping efficiency. The findings suggest that while AI models show promise in identifying fake logos, further refinement in both model architecture and scraping methods is needed to enhance real world application and scalability. This research aims to contribute to the ongoing efforts in developing more secure and reliable online environments, benefiting both brand protection and consumer trust. Prof. Anupam Chaube "Identifying Fake Logos on the Internet: A Study of AI Models and Web Scraping Efficiency" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75080.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75080/identifying-fake-logos-on-the-internet-a-study-of-ai-models-and-web-scraping-efficiency/prof-anupam-chaube
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| Packease Revolutionizing the Movers and Packers Industry with Comprehensive Solutions | | Author : Ketan Varma | Prof. Shubhra Chinchmalatpure | Prof. Smita Muley | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :PackEase Packers and Movers Solution is a web based platform designed to revolutionize the packing and moving industry by providing a seamless experience for customers and service providers. Built using PHP and MySQL, the system is equipped with a user friendly interface, ensuring accessibility across all devices.The solution enables secure user registration and login, distinguishing between customer and service provider roles. Customers can easily book and schedule their relocation services, with an option to insure their goods for added security against potential damages. The interactive dashboard provides customers with real time booking management, payment history, and shipment tracking, while service providers can efficiently manage requests, update shipment statuses, and communicate with customers.A feedback and review system promotes transparency by allowing users to share their experiences, helping others make informed decisions. Additionally, the platform is designed with scalability in mind, making it adaptable for integration with advanced features such as real time tracking, payment gateways, and multi language support.PackEase aims to bridge the gap between customers and service providers, streamlining the relocation process and fostering trust within the ecosystem through reliability, efficiency, and user satisfaction. Ketan Varma | Prof. Shubhra Chinchmalatpure | Prof. Smita Muley | Prof. Anupam Chaube "Packease Revolutionizing the Movers and Packers Industry with Comprehensive Solutions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75081.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75081/packease-revolutionizing-the-movers-and-packers-industry-with-comprehensive-solutions/ketan-varma
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| OTP Based Authentication in ATM Systems | | Author : Raju Madhukar Nilam | Sainitin Sadvali Tota | Prof. Poonam Kale | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :The rise in ATM fraud has exposed significant vulnerabilities in traditional security mechanisms, such as PIN and magnetic stripe card authentication. This paper explores how One Time Password OTP authentication can significantly improve the security of ATM systems. It discusses the mechanisms of OTP, its benefits over conventional methods, challenges in its implementation, and future prospects for its integration with emerging technologies. A block diagram is provided to illustrate the OTP authentication process, and real world case studies are included to demonstrate the effectiveness of OTP in preventing fraud. Raju Madhukar Nilam | Sainitin Sadvali Tota | Prof. Poonam Kale | Prof. Anupam Chaube "OTP-Based Authentication in ATM Systems" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75084.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75084/otpbased-authentication-in-atm-systems/raju-madhukar-nilam
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| OTP Authentication in Reducing ATM Fraud A Case Study Approach | | Author : Rajshekhar Gopal Lendguri | Kartik Tirupati Durgam | Prof. Poonam Kale | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :ATM fraud has become a significant concern for financial institutions worldwide, with various methods such as card skimming, PIN theft, and unauthorized access leading to millions in losses each year. This paper examines the role of One Time Password OTP authentication in mitigating ATM fraud. By reviewing two case studies of banks that adopted OTP systems in their ATM networks, this research evaluates the effectiveness of OTP in reducing fraudulent activities. The paper also explores the advantages and challenges associated with OTP implementation in the context of ATM transactions. Rajshekhar Gopal Lendguri | Kartik Tirupati Durgam | Prof. Poonam Kale | Prof. Anupam Chaube "OTP Authentication in Reducing ATM Fraud: A Case Study Approach" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75085.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75085/otp-authentication-in-reducing-atm-fraud-a-case-study-approach/rajshekhar-gopal-lendguri
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| Future Innovations in OTP Authentication for ATM Systems | | Author : Shantanu Natthuji Dadmal | Prof. Poonam Kale | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :With the increasing prevalence of ATM fraud and the growing need for more secure financial transactions, One Time Password OTP authentication has emerged as a key solution to combat fraud. However, while OTP authentication provides significant security improvements over traditional methods, there remains room for further innovations. This paper explores the future of OTP based authentication in ATM systems, focusing on the integration of emerging technologies such as biometrics, artificial intelligence AI , blockchain, and multi factor authentication MFA . These innovations promise to enhance security, streamline user experiences, and address the challenges of OTP vulnerabilities. Shantanu Natthuji Dadmal | Prof. Poonam Kale | Prof. Anupam Chaube "Future Innovations in OTP Authentication for ATM Systems" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75086.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75086/future-innovations-in-otp-authentication-for-atm-systems/shantanu-natthuji-dadmal
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| Fertilizer Waste Management System | | Author : Prajit Danao | Shreyash Nagture | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :Fertilizer waste management is an essential aspect of sustainable agricultural practices, aiming to reduce environmental impact and improve resource efficiency. Excessive and improper use of fertilizers often leads to contamination of soil and water resources, contributing to nutrient imbalances, eutrophication, and soil degradation. This project explores innovative methods for managing fertilizer waste, focusing on reducing surplus fertilizer application, promoting recycling, and optimizing nutrient use. The study reviews various technologies, such as slow release fertilizers, organic amendments, and nutrient recovery systems, which minimize waste and enhance soil health. It also emphasizes the role of precision farming, which utilizes data driven techniques to apply fertilizers in the right amounts and at the right time. Through these approaches, the project seeks to propose practical solutions for the agricultural sector, aiming to improve environmental sustainability, reduce economic losses, and promote circular economy principles. The outcomes of this project could serve as a guideline for farmers, policymakers, and industry stakeholders in achieving more efficient and eco friendly fertilizer use. Prajit Danao | Shreyash Nagture | Prof. Usha Kosarkar "Fertilizer Waste Management System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75088.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75088/fertilizer-waste-management-system/prajit-danao
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| Effortless Logistics A Study on Seamless Transportation Systems for Timely Deliveries | | Author : Nikhil Pandey | Kaushik Tembhurne | Poonam Kale | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :The rapid growth of e commerce and global trade has increased the demand for efficient and seamless logistics systems. This paper explores the concept of effortless logistics and highlights the significance of seamless transportation systems for ensuring timely deliveries. By leveraging cutting edge technologies, integrated supply chain networks, and real time data analytics, effortless logistics aims to minimize delays, reduce operational inefficiencies, and enhance customer satisfaction. This study provides insights into existing systems, identifies challenges, and proposes a methodology to achieve seamless transportation. Future scope and potential improvements are also discussed, emphasizing the critical role of technology in transforming logistics and transportation systems. Additionally, the study underscores the importance of sustainability and environmental considerations in modern logistics frameworks, advocating for greener practices and renewable energy adoption. This comprehensive analysis offers a roadmap for achieving a more interconnected, adaptive, and efficient logistics network, paving the way for a new era in global transportation. Nikhil Pandey | Kaushik Tembhurne | Poonam Kale | Prof. Anupam Chaube "Effortless Logistics: A Study on Seamless Transportation Systems for Timely Deliveries" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75087.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75087/effortless-logistics-a-study-on-seamless-transportation-systems-for-timely-deliveries/nikhil-pandey
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| EcoFood is a Sustainable Food Management System | | Author : Soumya Sengar | Prof. Monika Choudhary | Kunal Patil | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :The global food industry generates substantial waste, causing environmental harm and economic losses. This case study explores EcoFood, a mid sized food production company, and its implementation of sustainable food management practices to minimize waste. EcoFood adopted innovative approaches such as AI powered inventory management, upcycling food byproducts, and forming partnerships with suppliers to streamline processes. Additionally, the company launched consumer education campaigns and donation programs to address surplus food responsibly. Despite challenges like high initial investment and resistance from some stakeholders, EcoFood achieved remarkable outcomes, including a 42 reduction in food waste and enhanced community support. The study highlights the importance of integrating technology, fostering collaboration, and promoting consumer awareness in achieving sustainability goals. EcoFood’s journey serves as a valuable blueprint for other organizations seeking to address food waste effectively and build a more sustainable food system. Soumya Sengar | Prof. Monika Choudhary | Kunal Patil | Prof. Usha Kosarkar "EcoFood is a Sustainable Food Management System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75089.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75089/ecofood-is-a-sustainable-food-management-system/soumya-sengar
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| Revolutionizing Food Sustainability The Role of Eco Food in Minimizing Waste and Maximizing Resources | | Author : Vishal Khatri | Monicka Choudhry | Sugam Jha | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :The global food industry is currently facing a critical challenge in ensuring sustainability amid growing environmental concerns, resource scarcity, and waste production. One promising avenue to address these issues is the concept of eco food, a term that encapsulates sustainable food production practices, including the use of eco friendly farming, food processing, and consumption strategies. This paper explores the role of eco food in minimizing waste, optimizing resource use, and contributing to long term food security. By examining case studies, technological innovations, and the environmental benefits associated with eco food, this research highlights its potential to revolutionize the food industry. Vishal Khatri | Monicka Choudhry | Sugam Jha | Prof. Usha Kosarkar "Revolutionizing Food Sustainability: The Role of Eco Food in Minimizing Waste and Maximizing Resources" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75090.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75090/revolutionizing-food-sustainability-the-role-of-eco-food-in-minimizing-waste-and-maximizing-resources/vishal-khatri
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| Implementation and Performance Optimization of OTP Based Security for Online Transactions | | Author : Swapnil Durge | Anshay Patil | Usha Kosalkar | Shubhra Chinchmalapure | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :The security of online transactions is paramount due to increasing cyber threats and the growing reliance on digital platforms for financial and personal exchanges. One time password OTP based authentication is a widely used mechanism for securing online transactions. This paper explores the implementation of OTP based security systems, evaluates their performance, and proposes optimization techniques to enhance both security and efficiency. The findings suggest that while OTP systems provide robust protection, optimization strategies such as parallel processing, adaptive timeout mechanisms, and multi layered encryption can significantly improve both security and user experience. Swapnil Durge | Anshay Patil | Usha Kosalkar | Shubhra Chinchmalapure | Prof. Anupam Chaube "Implementation and Performance Optimization of OTP-Based Security for Online Transactions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75091.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75091/implementation-and-performance-optimization-of-otpbased-security-for-online-transactions/swapnil-durge
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| Fuel Anytime, Anywhere The Future of On Demand Delivery | | Author : Rajkumar Singh | Aryan Tiwari | Prof. Jyoti Tiwari | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :The On Demand Fuel Delivery System ODFDS is an emerging trend in the fuel retail industry, offering customers the convenience of fuel delivery at their doorstep. This review paper provides an overview of the ODFDS, its benefits, challenges, and future directions. We discuss the key components of the ODFDS, including mobile apps, payment gateways, and fuel delivery management systems. We also examine the benefits of the ODFDS, such as increased convenience, reduced fuel consumption, and lower emissions. Finally, we discuss the challenges facing the ODFDS, including regulatory hurdles, infrastructure requirements, and customer adoption. Rajkumar Singh | Aryan Tiwari | Prof. Jyoti Tiwari | Prof. Usha Kosarkar "Fuel Anytime, Anywhere: The Future of On-Demand Delivery" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75095.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75095/fuel-anytime-anywhere-the-future-of-ondemand-delivery/rajkumar-singh
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| Optimized Logistics Enhancing Transportation Efficiency for On Time Deliveries | | Author : Piyush Pun | Pruthviraj Giri | Poonam Kale | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :The rapid growth of e commerce and global trade has increased the demand for efficient and seamless logistics systems. This paper explores the concept of effortless logistics and highlights the significance of seamless transportation systems for ensuring timely deliveries. By leveraging cutting edge technologies, integrated supply chain networks, and real time data analytics, effortless logistics aims to minimize delays, reduce operational inefficiencies, and enhance customer satisfaction. This study provides insights into existing systems, identifies challenges, and proposes a methodology to achieve seamless transportation. Future scope and potential improvements are also discussed, emphasizing the critical role of technology in transforming logistics and transportation systems. Additionally, the study underscores the importance of sustainability and environmental considerations in modern logistics frameworks, advocating for greener practices and renewable energy adoption. This comprehensive analysis offers a roadmap for achieving a more interconnected, adaptive, and efficient logistics network, paving the way for a new era in global transportation. Piyush Pun | Pruthviraj Giri | Poonam Kale | Prof. Anupam Chaube "Optimized Logistics: Enhancing Transportation Efficiency for On-Time Deliveries" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75092.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75092/optimized-logistics-enhancing-transportation-efficiency-for-ontime-deliveries/piyush-pun
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| On Demand Fuel Delivery Solution for Modern Consumer | | Author : Riteshkumar Saah | Rohit Kamble | Prof. Jyoti Tiwari | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :The Fuel Delivery on Demand is a Java based project designed to automate users order and request. The system aims to enhance the efficiency and accuracy of fuel delivery operations, leading to improved customer services. Due to growth of automobiles in market, fuel consumptions become more. In existing system, unfortunately because of some reasons if vehicle stops due to lack of petrol pump. In some cases, people go to new locations and sometimes they won’t be having any idea of the gas stations to refuel their vehicles. The proposed system to develop applications to deliver the fuel to those who need to refuel vehicle at any location and time. The project utilizes Java programming language and incorporates various modules to handle different aspects of the fuel delivery process. This application can be useful when the people get stranded and aren’t able to find a nearby fuel pump. The application consists of the following three modules using User, Fuel Station and Admin.Admin can verify Fuel Station details, then it will see user modules manages customer information, including their contact details, deliver preferences and fuel requirements. It allows customers to place fuel orders and track the status of their deliveries. Fuel Station can add their branch information like address and Google map geo location and kind of fuel provide. Riteshkumar Saah | Rohit Kamble | Prof. Jyoti Tiwari | Prof. Usha Kosarkar "On-Demand Fuel Delivery Solution for Modern Consumer" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75093.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75093/ondemand-fuel-delivery-solution-for-modern-consumer/riteshkumar-saah
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| Smart Fuel Delivery On Demand Solutions for the Modern Consumer | | Author : Saurav Chute | Rohit Prasad | Prof. Jyoti Tiwari | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :This paper explores the concept of On Demand Fuel Delivery Systems, a innovative solution that delivers fuel directly to customers locations. We examine the benefits of convenience, efficiency, and sustainability offered by these systems, as well as the challenges and limitations. Our research methodology includes a literature review, surveys, and interviews with industry experts. The results indicate that On Demand Fuel Delivery Systems have the potential to transform the fuel retail industry, offering customers a seamless and convenient experience while reducing operational costs and environmental impact. It helps in monitoring and managing fuel stock levels, ensuring timely replenishment when needed. User can search by locality or station name and book the fuel on online app.The system automates the process of scheduling fuel deliveries based on customer orders and optimized routes for fuel trucks based on factors such as customer locations, fuel demand and delivery speed.This application enables real time tracking of fuel trucks during delivery. It utilizes GPS technology to monitor location for accurate estimated arrival times to customers and allowing mangers to track delivery progress.It maintains a record of payment transactions and generates for accounting purposes. The Fuel Delivery on Demand improves operational efficiency by automating manual process, reducing errors and optimizing resource utilization. By providing real time tracking and efficient scheduling, it enhances customer satisfaction and strengthens the overall delivery process of fuel delivery. Objective develops using Angular Java Script and MySQL as our backend database with responsive application. Saurav Chute | Rohit Prasad | Prof. Jyoti Tiwari | Prof. Usha Kosarkar "Smart Fuel Delivery: On-Demand Solutions for the Modern Consumer" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75094.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75094/smart-fuel-delivery-ondemand-solutions-for-the-modern-consumer/saurav-chute
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| Using Smart Vision for Early Detection of Eye Disorders A Study on Eye Tracking Systems | | Author : Ritika Thombre | Aditi Derkar | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :Early detection of eye diseases is crucial to preserving vision and improving treatment outcomes. This paper examines the integration of eye tracking systems with Smart Vision technology for the early detection of ocular conditions such as glaucoma, diabetic retinopathy, and cataracts. These systems analyze eye movements and visual responses to detect abnormalities associated with these diseases, providing a non invasive and efficient method for diagnosis.The proposed technology focuses on identifying potential eye disorders at an early stage, enabling timely intervention and reducing the risk of vision loss. By monitoring parameters such as pupil reactions, peripheral vision, and contrast sensitivity, the system offers a cost effective solution for accessible eye care. Its non invasive nature, combined with automated analysis, ensures ease of use and wider applicability, particularly in underserved regions.The results emphasize the potential of Smart Vision technology to revolutionize eye care, making diagnosis more accessible, accurate, and patient friendly. This research demonstrates how the system could serve as a valuable tool in improving early diagnosis and intervention in both urban and rural healthcare settings. Ritika Thombre | Aditi Derkar | Prof. Anupam Chaube "Using Smart Vision for Early Detection of Eye Disorders: A Study on Eye Tracking Systems" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75096.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75096/using-smart-vision-for-early-detection-of-eye-disorders-a-study-on-eye-tracking-systems/ritika-thombre
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| Smart Vision Technology for Early Eye Disorder Detection A Study on Eye Tracking Systems | | Author : Sahil Ramteke | Sankalp Rodge | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :Prompt detection of eye disorders is essential to avoid irreversible vision loss and improve overall patient outcomes. This research investigates the integration of eye tracking technology with Smart Vision systems as an innovative approach to identifying common eye conditions like cataracts, glaucoma, and diabetic retinopathy in their initial stages. By leveraging precise tracking of subtle eye movements and visual responses, this study provides a non invasive, efficient diagnostic framework.The research focuses on analyzing specific abnormalities in eye movements, shifts in visual fields, and changes in pupil behavior that serve as early markers for these conditions. The results indicate that Smart Vision technology can effectively identify slight deviations in eye dynamics, enabling earlier intervention and treatment. Furthermore, the study highlights the reliability and clinical applicability of this technology, offering a cost efficient, scalable, and non invasive alternative for diagnosing and monitoring eye conditions. Sahil Ramteke | Sankalp Rodge | Prof. Usha Kosarkar "Smart Vision Technology for Early Eye Disorder Detection: A Study on Eye Tracking Systems" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75097.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75097/smart-vision-technology-for-early-eye-disorder-detection-a-study-on-eye-tracking-systems/sahil-ramteke
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| Wellness Guard An Advanced Health Monitoring System for Personalized Care | | Author : Shubham Nibrad | Suraj Thawre | Yash Tawade | Yash Gurve | Yogendra Dewangan | Vaishnavi Bagdi | | Abstract | Full Text | Abstract :With the increasing demand for personalized healthcare solutions, Wellness Guard emerges as an advanced health monitoring system designed to enhance real time health tracking and personalized care. This system integrates cutting edge wearable technology, artificial intelligence AI , and cloud based analytics to provide continuous monitoring of vital signs, early detection of health anomalies, and proactive healthcare recommendations. Wellness Guard leverages machine learning algorithms to analyse user specific health data, predict potential risks, and offer tailored interventions. The system is designed to be user friendly, ensuring seamless integration with mobile applications and healthcare providers for improved accessibility and timely medical response. By bridging the gap between real time monitoring and personalized care, Wellness Guard aims to revolutionize preventive healthcare, improve patient outcomes, and empower individuals to take control of their well being. Shubham Nibrad | Suraj Thawre | Yash Tawade | Yash Gurve | Yogendra Dewangan | Vaishnavi Bagdi "Wellness Guard: An Advanced Health Monitoring System for Personalized Care" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76221.pdf Paper URL: https://www.ijtsrd.com/medicine/other/76221/wellness-guard-an-advanced-health-monitoring-system-for-personalized-care/shubham-nibrad
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| FakeAlert An Innovative Machine Learning Framework for Identifying and Combatting Falsified News | | Author : Jyoti Tiwari | Tushar Mahajan | Aditya Kathalkar | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :The spread of misinformation has become a serious global concern, impacting public trust and information integrity. This study investigates the use of advanced machine learning techniques to detect fraudulent news, utilizing a dataset containing both legitimate and false news articles. Preprocessing techniques such as text cleaning and TF IDF vectorization enhance data quality and model efficiency. Five machine learning algorithms—Random Forest, Support Vector Machine SVM , Neural Networks, Logistic Regression, and Naïve Bayes—are evaluated based on accuracy, precision, recall, and F1 score. The Random Forest Classifier achieves the highest accuracy of 99.95 , demonstrating superior reliability in distinguishing fake news from authentic articles. While SVM and Neural Networks also perform well, Logistic Regression and Naïve Bayes, though computationally efficient, show relatively lower effectiveness. This research underscores the significance of ensemble models and advanced preprocessing in developing robust fake news detection systems, offering valuable insights for automated misinformation mitigation strategies. Jyoti Tiwari | Tushar Mahajan | Aditya Kathalkar | Prof. Usha Kosarkar "FakeAlert: An Innovative Machine Learning Framework for Identifying and Combatting Falsified News" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75098.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75098/fakealert-an-innovative-machine-learning-framework-for-identifying-and-combatting-falsified-news/jyoti-tiwari
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| The Future of Sustainable Food Systems Investigating Eco Food’s Impact on Waste Reduction | | Author : Saurabh Raut | Prof. Monika Choudhary | Shwet Gadre | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :This study explores the potential of Eco Food systems in transforming sustainable food practices by emphasizing waste reduction and efficient resource utilization. With over 1.3 billion tons of food wasted globally each year, innovative solutions are essential to tackling environmental, economic, and social challenges. This research examines the adoption of Eco Food technologies, including precision agriculture, advancements in food recycling, and bioconversion techniques, to repurpose waste into valuable resources. Initial findings indicate that incorporating these methods into food supply chains could decrease waste by up to 40 , enhance resource efficiency, and make significant progress toward meeting the United Nations Sustainable Development Goals SDGs .Food waste remains a major global issue, with far reaching economic, environmental, and social consequences. This paper investigates strategies to reduce food waste across all stages of the supply chain, from production to consumption. It evaluates innovative technologies, policy measures, and behavioral shifts aimed at minimizing waste. Additionally, the study addresses key challenges in waste reduction, including the necessity for systemic changes and the impact of consumer behavior. By covering critical areas such as food recovery, circular economy initiatives, and sustainable agricultural practices, this paper provides a comprehensive perspective on the complexities of food waste management. Ultimately, it highlights the urgent need to integrate effective waste reduction strategies into the broader framework of sustainable food systems. Saurabh Raut | Prof. Monika Choudhary | Shwet Gadre | Prof. Usha Kosarkar "The Future of Sustainable Food Systems: Investigating Eco Food’s Impact on Waste Reduction" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75099.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75099/the-future-of-sustainable-food-systems-investigating-eco-food’s-impact-on-waste-reduction/saurabh-raut
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| Deepfake Detection with Generalization via Domain Aware Meta Learning | | Author : Kartik. S. Raut. | Harsh. S. Pendke | Prof. Anupam Chaube | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :Deepfakes, media manipulated using deep learning techniques, pose a growing threat to the integrity of digital content. These AI generated forgeries are becoming increasingly sophisticated, making them difficult to detect. Traditional detection methods often lag behind the rapid evolution of deepfake techniques and are hampered by the limited variety of training data, making it hard for them to generalize effectively to new types of deepfakes. This thesis introduces a novel deepfake detection approach that combines meta learning for domain generalization MLDG with self blended images SBI to address this challenge. MLDG, inspired by meta learning principles, aims to improve the model’s adaptability to new manipulation techniques by simulating domain shifts during training. The model learns from various source domains representing different deepfake generation methods. Additionally, SBIs, synthetic images created by blending real and manipulated faces, are incorporated to further diversify the training data and promote the learning of features that generalize across domains. This thesis focuses on detecting image based deepfakes using the Face Forensics dataset, a benchmark collection of real and manipulated videos, specifically designed for deepfake detection research. The proposed method is evaluated with a leave one out cross validation scheme on this dataset, where each deepfake generation technique is used as a test case while the others are used for training. The results consistently show that MLDG, when enhanced with SBIs, outperforms the standard Empirical Risk Minimization ERM method, demonstrating its effectiveness in generalizing to unseen manipulation techniques. The research offers a practical solution for deepfake detection, highlighting how MLDG and SBI augmentation can create more effective and adaptable detection systems. The findings emphasize the need for models that can adapt to evolving deepfake techniques to protect the integrity of digital media. Kartik. S. Raut. | Harsh. S. Pendke | Prof. Anupam Chaube | Prof. Usha Kosarkar "Deepfake Detection with Generalization via Domain-Aware Meta-Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75100.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75100/deepfake-detection-with-generalization-via-domainaware-metalearning/kartik-s-raut
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| Enhancing Deep Fake Detection Generalization through One Shot Test Time Adaptation | | Author : Harsh. B. Shrivas | Ishika. S. Mendhekar | Prof. Anupam Chaube | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :State of the art deep fake locators perform well in recognizing imitations when they are assessed on a test set comparative to the preparing set, but battle to preserve great execution when the test frauds display distinctive characteristics from the preparing pictures, e.g., frauds are made by concealed deep fake strategies. Such a frail generalization capability prevents the pertinence of current deep fake finders. In this paper, we present a modern learning worldview uncommonly planned for the generalizable deep fake discovery assignment. Our key thought is to develop a test sample specific assistant errand to overhaul the demonstrate some time recently applying it to the test. Particularly, we synthesize pseudo training tests from each test picture and make a test time preparing objective to upgrade the show. In addition, we propose to use meta learning to guarantee that a quick single step test time angle plunge, named one shot test time preparing OST , can be adequate for great deep fake location execution. Broad comes about over a few benchmark datasets illustrate that our approach performs favorably against existing expressions in terms of generalization to concealed information and strength to diverse post processing steps. Harsh. B. Shrivas | Ishika. S. Mendhekar | Prof. Anupam Chaube | Prof. Usha Kosarkar "Enhancing Deep Fake Detection Generalization through One-Shot Test-Time Adaptation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75101.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75101/enhancing-deep-fake-detection-generalization-through-oneshot-testtime-adaptation/harsh-b-shrivas
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| Evaluating the Effectiveness of Online Resume Builders in Crafting Professional Resumes | | Author : Karishma Zade | Prachi Kedar | Janhvi Ghogale | Priyal Gandhi | Prachi Narnaware | Laxmi Satpute | | Abstract | Full Text | Abstract :This paper explores modern resume building techniques, trends, and innovations, focusing on the impact of globalized workforce, changing employer expectations, and technology advancements. It discusses cutting edge techniques, trends like optimizing ATS, visual storytelling, and AI powered tools, and offers advice for job seekers to create resumes that align with contemporary hiring procedures and make an impression in the digital age. This study explores the importance of resume building in optimizing career development, focusing on key elements such as concise language, tailored content, and keyword utilization. It examines various resume formats and their suitability for different career paths. The study emphasizes the importance of proofreading, professional formatting, and seeking feedback to enhance resume quality and increase job interview chances. Recent graduates often struggle to showcase their qualifications in a competitive job market, making resumes crucial for career growth. The Resume Builder Application is a modern tool for job seekers and recruiters, utilizing advanced natural language processing and machine learning to create personalized, visually appealing resumes. It offers dynamic templates, content optimization, and a candidate management solution, with a matching algorithm for efficient shortlisting and alignment with company goals. Karishma Zade | Prachi Kedar | Janhvi Ghogale | Priyal Gandhi | Prachi Narnaware | Laxmi Satpute "Evaluating the Effectiveness of Online Resume Builders in Crafting Professional Resumes" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76198.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76198/evaluating-the-effectiveness-of-online-resume-builders-in-crafting-professional-resumes/karishma-zade
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| Digital Empowerment of Farmers Integrating E Commerce, AI Based Crop Recommendations, and Financial Scheme Awareness | | Author : Yash Kushwaha | Dhamini Thakare | Shrutika Shaniware | Shrawani Durgapurohit | Ninad Dhawale | Kunal Paunikar | | Abstract | Full Text | Abstract :The agricultural sector is vital to the economy, yet farmers frequently encounter challenges, such as reduced profits, insufficient guidance, and limited knowledge of government programs. This study introduced a web based solution designed to tackle these issues through three interconnected services. The first is an online marketplace that enables farmers to market their goods directly to consumers, eliminate middlemen, and ensure better returns, while also providing access to affordable farming necessities, such as seeds, fertilizers, and equipment. The second service offers intelligent crop recommendations utilizing machine learning and data analytics to evaluate a farmers geographic location and suggest appropriate crops based on environmental and climate factors, aiding in informed decision making. The third component focuses on government initiatives and financial support, offering farmers up to date information on subsidies, loans, and policies to safeguard them from fraudulent financial practices. By integrating technology with agriculture, this platform aims to boost productivity, financial stability, and the overall efficiency of the farming industry. This study further examines the technical implementation, obstacles, and potential effects of this initiative on modernizing agricultural practices. Yash Kushwaha | Dhamini Thakare | Shrutika Shaniware | Shrawani Durgapurohit | Ninad Dhawale | Kunal Paunikar "Digital Empowerment of Farmers: Integrating E-Commerce, AI-Based Crop Recommendations, and Financial Scheme Awareness" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76199.pdf Paper URL: https://www.ijtsrd.com/management/accounting-and-finance/76199/digital-empowerment-of-farmers-integrating-ecommerce-aibased-crop-recommendations-and-financial-scheme-awareness/yash-kushwaha
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| SnapManage Streamlining Photo Studio Operation with an Integrated Management System | | Author : Mr. Anirudha Barekar | Mr. Prajeendra Khare | Mr. Harsh Pardhi | Mr. Jayant Kukadkar | Mr. Pranay Patil | Mr. Mohommad Izhan Ismail Sheikh | | Abstract | Full Text | Abstract :The photography industry is undergoing rapid transformation due to technological advancements and increasing client expectations. Managing a photo studio involves juggling multiple tasks, including scheduling, resource allocation, client communication, and post production tracking. Traditional methods often lead to inefficiencies, errors, and reduced client satisfaction. This paper introduces SnapManage, an integrated management system designed to streamline photo studio operations. SnapManage combines cloud based technologies, automation, and data analytics to provide a unified platform for managing all aspects of studio operations. The system was evaluated in real world photo studio environments, demonstrating significant improvements in productivity, error reduction, and client satisfaction. This paper presents the design, implementation, and evaluation of SnapManage, highlighting its potential to revolutionize photo studio management. Mr. Anirudha Barekar | Mr. Prajeendra Khare | Mr. Harsh Pardhi | Mr. Jayant Kukadkar | Mr. Pranay Patil | Mr. Mohommad Izhan Ismail Sheikh "SnapManage: Streamlining Photo Studio Operation with an Integrated Management System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76200.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76200/snapmanage-streamlining-photo-studio-operation-with-an-integrated-management-system/mr-anirudha-barekar
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| Integrated Solutions for Air Travel FlySmart as a Comprehensive Model | | Author : Diya Mandal | Vaishali Wankhede | Niraj Singh | Bhushan Patil | Prasanna Darne | Nishant Bhongade | | Abstract | Full Text | Abstract :The air travel industry is rapidly evolving, facing challenges such as rising operational costs, environmental sustainability, passenger satisfaction, and the need for seamless, interconnected services. As the demand for more efficient, reliable, and user friendly travel experiences grows, innovative solutions are becoming critical. This paper presents FlySmart, a comprehensive model for integrated solutions in air travel, designed to optimize the entire travel ecosystem from booking to arrival. FlySmart combines cutting edge technologies, data analytics, artificial intelligence, and smart systems to streamline flight operations, enhance passenger experiences, and promote sustainability. By examining current trends, industry challenges, and the potential benefits of integrated models like FlySmart, this review provides insights into how these systems can transform the future of air travel. The paper also explores case studies, technological advancements, and the potential scalability of FlySmart for diverse stakeholders, including airlines, airports, passengers, and regulators. Diya Mandal | Vaishali Wankhede | Niraj Singh | Bhushan Patil | Prasanna Darne | Nishant Bhongade "Integrated Solutions for Air Travel: FlySmart as a Comprehensive Model" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76201.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76201/integrated-solutions-for-air-travel-flysmart-as-a-comprehensive-model/diya-mandal
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| Quick Mart A Smarter Way to Buy and Sell Everything | | Author : Prof. Usha Kosharkar | Shreya Kable | Swapnali Badole | Vedant Chopkar | Siddesh Bhure | Snehal Dhumne | Pallavi Jaipulkar | | Abstract | Full Text | Abstract :Quick Mart is transforming the second hand marketplace with cutting edge technology to enhance both buying and selling experiences. Real time inventory tracking ensures accurate product availability, minimizing wait times and keeping users informed about new or restocked items. This feature simplifies listing management for sellers while offering buyers instant notifications. AI powered personalized recommendations analyze user behavior and purchase history to suggest tailored products, boosting engagement and satisfaction. Trust and transparency are core principles, achieved through verified seller systems and transparent review mechanisms that enable informed purchasing decisions. Quick Mart fosters a secure, reliable marketplace, ensuring smooth transactions. Sustainability is at the heart of the platform, promoting the reuse, recycling, and upcycling of goods in line with the circular economy. By encouraging eco friendly practices and offering educational initiatives, Quick Mart empowers users to make responsible, environmentally conscious choices. The platform integrates smart technology with sustainable values, redefining second hand commerce. It offers a smarter, more efficient, and eco friendly way for users to buy and sell everything. Combining innovation and sustainability, Quick Mart sets a new standard for second hand commerce, benefiting both consumers and the planet. Prof. Usha Kosharkar | Shreya Kable | Swapnali Badole | Vedant Chopkar | Siddesh Bhure | Snehal Dhumne | Pallavi Jaipulkar "Quick Mart: A Smarter Way to Buy and Sell Everything" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76202.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76202/quick-mart-a-smarter-way-to-buy-and-sell-everything/prof-usha-kosharkar
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| LifeLine A Digital System for Promoting Happiness and Preventing Suicide | | Author : Adarsh Mishra | Aditya Bangde | Sadiya Khan | Faizan Sheik | Sandhya Ganvenwar | Sahil Kokate | | Abstract | Full Text | Abstract :Mental health challenges and suicide prevention require accessible and effective digital solutions. Lifeline is a web based system designed to promote happiness and provide timely support to individuals experiencing emotional distress. Developed using jQuery, HTML, CSS, JavaScript, and Bootstrap for the frontend, with MySQL and an Apache server for the backend, Lifeline offers an interactive platform for users to access mental health resources, engage in mood tracking activities, and connect with a support network. The system features self help tools, guided reflections, and emergency contact integration to provide immediate assistance. By leveraging a user friendly interface and database driven content management, Lifeline aims to create a safe and supportive digital environment. This research examines the system’s usability, user engagement, and effectiveness in fostering mental well being, highlighting the role of technology in suicide prevention and emotional support. Adarsh Mishra | Aditya Bangde | Sadiya Khan | Faizan Sheik | Sandhya Ganvenwar | Sahil Kokate "LifeLine A Digital System for Promoting Happiness and Preventing Suicide" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76203.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76203/lifeline-a-digital-system-for-promoting-happiness-and-preventing-suicide/adarsh-mishra
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| SilverScreenX Revolutionizing the Cinema Experience with Cutting Edge Technology | | Author : Ankit R. Chavhan | Bhushan M. Bodhe | Aayush R. Zade | Abhay P. Nagose | Pulkit S. Chaudhary | Ashwini Hatzade | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :Silver ScreenX is a revolutionary cinema technology that redefines the movie going experience. By integrating cutting edge innovations, Silver ScreenX transports audiences into immersive, 360 degree environments that blur the lines between reality and fantasy. With its panoramic screens, precision sound systems, and bespoke comfort features, Silver ScreenX sets a new standard for cinematic storytelling. This game changing technology promises to captivate audiences worldwide, inviting them to experience movies like never before. Ankit R. Chavhan | Bhushan M. Bodhe | Aayush R. Zade | Abhay P. Nagose | Pulkit S. Chaudhary | Ashwini Hatzade | Prof. Anupam Chaube "SilverScreenX: Revolutionizing the Cinema Experience with Cutting-Edge Technology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76209.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76209/silverscreenx-revolutionizing-the-cinema-experience-with-cuttingedge-technology/ankit-r-chavhan
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| Chronic Care Revolution Advancing Solutions for Life Long Health | | Author : Vedant Golait | Titu Tiwari | Sejal Shirbhaiyye | Subodh Tembhare | Vaishnavi Watkar | Shivani Ayyagari | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :Medical technology is advancing rapidly, allowing doctors to predict and diagnose diseases more accurately than ever before. This paper introduces a smart medical prediction system that combines two powerful artificial intelligence AI techniques deep learning for analysing medical images and traditional data processing for handling text and numerical information. Keywords Natural Language Processing NLP , CNN, Image classification, Text VectorizationThis approach can be expanded to different medical fields, such as cardiology, neurology, and oncology. Additionally, exploring other deep learning models may further improve accuracy and efficiency.The versatility of this approach allows it to be applied across various medical fields, including cardiology, neurology, and oncology, where accurate diagnosis is critical for early intervention and treatment planning. Furthermore, as AI models continue to evolve, exploring more advanced deep learning architectures could further enhance the system’s predictive accuracy and efficiency.By combining deep learning with traditional medical analysis, this hybrid system is a major breakthrough in predicting diseases. It helps doctors work more efficiently by organizing and analyzing medical data, making it easier to diagnose patients accurately.This system can speed up decision making, reduce errors, and support doctors in providing better treatment. As a result, patients receive faster and more accurate care, leading to better health outcomes.This innovation is an important step toward using smart technology in healthcare, making medical diagnosis more reliable and improving the future of medicine. Vedant Golait | Titu Tiwari | Sejal Shirbhaiyye | Subodh Tembhare | Vaishnavi Watkar | Shivani Ayyagari | Prof. Anupam Chaube "Chronic Care Revolution: Advancing Solutions for Life-Long Health" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76204.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76204/chronic-care-revolution-advancing-solutions-for-lifelong-health/vedant-golait
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| StockMeds Simplifying Medicine Management with an Integrated Online Platform | | Author : Shreya Patle | Shreya Mate | Siddhi Jathade | Gayatri Aglave | Bhagyashri Dhabale | Vaidehi Pilondre | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :The report is about web based medicine inventory management system named MediStock. The system will be used by the pharmacists and staffs of the company The project is designed for developing the medical store management system whose purpose is to reduce the complexities of record keeping and documentation in the inventory management, payments and list of suppliers. Effective inventory management is crucial for healthcare facilities to provide timely and high quality patient care while minimizing costs. Medistock inventory management systems have been developed to optimize inventory control, but their implementation can be challenging due to various factors such as data inaccuracy, inadequate training, and lack of standardization. This literature review provides a comprehensive overview of the current research trends in Medistock inventory management systems. The review highlights the importance of inventory management in healthcare facilities and discusses various techniques proposed to optimize inventory control, including the use of radio frequency identification technology, artificial neural networks, and just intime inventory management systems. The review also examines the challenges associated with Medistock inventory management systems and potential solutions to these challenges. The findings suggest that implementing effective Medistock inventory management systems is crucial for healthcare facilities to optimize inventory control, reduce costs, and enhance patient care. However, a comprehensive understanding of the healthcare facilitys unique needs and challenges is required to implement an effective inventory management system. Shreya Patle | Shreya Mate | Siddhi Jathade | Gayatri Aglave | Bhagyashri Dhabale | Vaidehi Pilondre | Prof. Anupam Chaube "StockMeds: Simplifying Medicine Management with an Integrated Online Platform" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76207.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76207/stockmeds-simplifying-medicine-management-with-an-integrated-online-platform/shreya-patle
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| Using Smart Vision for Early Detection of Eye Disorders A Study on Eye Tracking Systems | | Author : Ritika Thombre | Sahil Ramteke | Bhumika Derkar | Sankalp Rodge | Aditi Derkar | Aachal Bharange | | Abstract | Full Text | Abstract :The timely identification of eye related disorders is critical for preventing significant vision loss and ensuring better patient outcomes. This research delves into the potential of integrating advanced eye tracking systems with Smart Vision technology as a proactive approach to detecting prevalent eye diseases, including cataracts, glaucoma, and diabetic retinopathy, at their early stages. Eye tracking systems have gained attention for their ability to monitor subtle eye movements and analyze visual responses, offering a non invasive and effective method to diagnose such conditions early. In this study, the focus is on examining specific eye movement irregularities, alterations in the visual field, and retinal changes as crucial signs that may indicate the onset of these disorders. The results demonstrate that Smart Visions precision in tracking eye dynamics enables the detection of even the most subtle variations in visual perception, facilitating early intervention and treatment. Furthermore, the study emphasizes the significant role of SmartVision technology in clinical environments, where its accuracy and reliability can serve as an invaluable tool for diagnosing and monitoring the progression of cataracts, glaucoma, and diabetic retinopathy. This approach promises to enhance early diagnosis, streamline patient care, and ultimately improve long term health outcomes by providing a cost effective, non invasive alternative to traditional diagnostic methods. Ritika Thombre | Sahil Ramteke | Bhumika Derkar | Sankalp Rodge | Aditi Derkar | Aachal Bharange "Using Smart Vision for Early Detection of Eye Disorders: A Study on Eye Tracking Systems" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76208.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76208/using-smart-vision-for-early-detection-of-eye-disorders-a-study-on-eye-tracking-systems/ritika-thombre
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| SAFE CAB “Empowering Women’s Safety with Real Time Tracking and Parental Alerts” | | Author : Prishita Borkar | Priya Tiwari | Siya Tiwari | Karti Gaikwad | Pratik Sonekar | Ritik Bopche | | Abstract | Full Text | Abstract :The safety of women in public spaces, especially during travel, remains a significant concern globally. The emergence of “Safe Cab” systems has become a vital tool in ensuring women’s security while commuting. These services are designed to empower women by integrating real time tracking technology, which enables continuous monitoring of their journey. The application of this technology allows family members, especially parents, to receive instant alerts in case of any distress signals or deviations from the planned route. The system aims to mitigate risks such as harassment, abductions, or accidents by fostering transparency, accountability, and peace of mind for women and their families. Additionally, the ability to communicate with the driver and emergency contacts further enhances the safety infrastructure. Safe Cab services, therefore, play a crucial role in reshaping women’s travel experience, offering both convenience and security, while contributing to building a more supportive, protective environment for women in public spaces.Imagine a world where every woman can travel with peace of mind—Safe Cab makes that possible with real time tracking and parental alerts. How would it feel to know your loved ones are just a click away What if you could ensure the safety of your family members while they’re on the go Safe Cabs live tracking and emergency alerts provide that extra layer of protection. Have you ever wished for a service like this ” With Safe Cab, it’s not just about getting from point A to point B. It’s about how you travel—safely and securely. Do you think this kind of technology could make a difference in your daily commute SM and GPS Location Tracking Based Women Safety System This study presents a safety system that utilizes GSM and GPS technologies to provide real time location tracking and emergency alerts for women in distress. IJRAR.ORGMobile Applications Addressing Violence Against Women A Systematic Review This systematic review analyze various mobile applications designed to combat violence against women, focusing on their functionalities such as emergency alerts and location tracking. GH.BMJ.COMRole in Women Safety A Systematic Literature Review This paper discusses the integration of Internet of Things IoT technologies in developing safety solutions for women, including wearable devices and GPS tracking systems. WJARR.COM Prishita Borkar | Priya Tiwari | Siya Tiwari | Karti Gaikwad | Pratik Sonekar | Ritik Bopche "SAFE CAB: “Empowering Women’s Safety with Real Time-Tracking and Parental Alerts”" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76212.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76212/safe-cab-“empowering-women’s-safety-with-real-timetracking-and-parental-alerts”/prishita-borkar
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| AgroCare App A Comprehensive Digital Solution for Plant Health Management and Sustainable Crop Growth | | Author : Ananya Khara | Bhumika Parate | Shruti Wankhade | Suhani Sarode | Himanshi Wadafale | Chetana Girhepunje | | Abstract | Full Text | Abstract :The Challenges in the agricultural industry include climate change, resource depletion, and increased global food demand. To combat these issues, digital solutions like AgroCare have emerged as powerful tools for farmers to make informed, data driven decisions that optimize crop management while minimizing environmental impacts. AgroCare is an integrated digital platform that offers a comprehensive approach to plant health management and sustainable crop growth. This merges the latest technology of remote sensing, precision agriculture, and farm management systems in real time into soil conditions, weather patterns, and crop health. This can enable farmers to make proactive decisions about irrigation, fertilization, pest control, and overall crop management while lowering input costs and conserving precious resources. The core components of AgroCare are analyzed in this paper by focusing on its strength to increase farm productivity, reduce environmental footprints, and create long term sustainability in agriculture. Its ability to combine the latest technology with sustainable farming practices makes it a transformative tool for farmers around the world, enhancing crop yields, optimizing resource use, and contributing to sustainable food production for the benefit of future generations. Ananya Khara | Bhumika Parate | Shruti Wankhade | Suhani Sarode | Himanshi Wadafale | Chetana Girhepunje "AgroCare App: A Comprehensive Digital Solution for Plant Health Management and Sustainable Crop Growth" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76213.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76213/agrocare-app-a-comprehensive-digital-solution-for-plant-health-management-and-sustainable-crop-growth/ananya-khara
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| WearItRent Bridging Local Shops and Consumers with Sustainable and Affordable Fashion Choices | | Author : Laxmikant Gakhare | Aditya Walde | Girishkumar Mouje | Kartik Thakre | Ayush Ghatole | Anish Dhamde | | Abstract | Full Text | Abstract :This project presents an innovative online clothing rental platform designed to provide users with easy access to a wide variety of fashionable and high quality clothing for rent. The website aims to offer a sustainable and cost effective solution to the growing demand for stylish attire without the need for long term ownership. By facilitating rentals of various garments, including dresses, suits, and accessories, users can enjoy diverse fashion options for any occasion at a fraction of the cost of purchasing them. The platform includes features like seamless browsing, secure payment options, delivery, and return services, ensuring a hassle free experience for customers. Additionally, the service promotes eco consciousness by reducing textile waste and supporting the circular economy. This website caters to fashion enthusiasts, event goers, and environmentally aware individuals, creating a modern approach to shopping that is both practical and sustainable. The platform integrates real time inventory management, secure payment gateways, and a location based search feature to optimize user experience. Initial studies suggest that WearItRent has the potential to reduce textile waste, support local businesses, and provide consumers with a convenient and sustainable alternative to traditional shopping. Future work includes expanding the platform’s capabilities to include personalized recommendations and scalability for larger markets. The research employs statistical analysis for quantitative data and thematic analysis for qualitative insights. Key findings will help determine consumer preferences, pricing models, and challenges in implementation. By promoting the circular economy and reducing fashion waste, WearItRent offers a sustainable and affordable alternative to traditional retail fashion, benefiting both consumers and local businesses. The study also highlights ethical considerations, limitations, and the potential for scaling rental fashion services in different market segments. Laxmikant Gakhare | Aditya Walde | Girishkumar Mouje | Kartik Thakre | Ayush Ghatole | Anish Dhamde "WearItRent: Bridging Local Shops and Consumers with Sustainable and Affordable Fashion Choices" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76214.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76214/wearitrent-bridging-local-shops-and-consumers-with-sustainable-and-affordable-fashion-choices/laxmikant-gakhare
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| Infraguard Real Time Threat Detection and Automated Response for Critical Infrastructure | | Author : Saloni Hingane | Sakshi Umate | Pratik Ahir | Ramija Dudhaknoj | Pritesh Sangode | Sankalp Jugade | | Abstract | Full Text | Abstract :Critical infrastructure systems such as energy grids, water treatment plants, transportation networks, and healthcare facilities are vital to the functioning of modern society. As these infrastructures become increasingly interconnected and reliant on digital technologies, they also become more vulnerable to cyberattacks, physical threats, and hybrid attacks. The growing sophistication and frequency of these threats pose significant risks to public safety, national security, and economic stability. In response to these challenges, this paper proposes Infraguard, a comprehensive, real time threat detection and automated response system designed to enhance the security and resilience of critical infrastructure.This paper explores the architecture and operational framework of Infraguard, detailing its core components such as real time monitoring, threat intelligence sharing, cloud based data processing, and automated decision making. Additionally, it discusses the challenges in deploying such a system, including the management of false positives, privacy concerns, and integration with legacy infrastructure. Finally, the paper highlights the potential of Infraguard to strengthen the security posture of critical infrastructure by providing a proactive, agile, and scalable solution to the evolving landscape of threats.The introduction of Infraguard marks a significant advancement in the field of critical infrastructure protection, offering a robust defense against both cyber and physical threats. Saloni Hingane | Sakshi Umate | Pratik Ahir | Ramija Dudhaknoj | Pritesh Sangode | Sankalp Jugade "Infraguard: Real-Time Threat Detection and Automated Response for Critical Infrastructure" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76215.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76215/infraguard-realtime-threat-detection-and-automated-response-for-critical-infrastructure/saloni-hingane
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| CloudFileHub A Seamless File Management and Storage Solution | | Author : Rutuja Kamble | Samruddhi Ramteke | Rajratna Bodade | Samyak Bhongade | Rajat Randai | Sahil Wasnik | Prof. Poonam Kale | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :Cloud storage and file management platforms are a necessary feature of todays digital world, facilitating data storage, accessibility, and sharing between multiple devices seamlessly. This paper proposes CloudFileHub, a revolutionary cloud storage solution to counter prevailing problems with other cloud storage providers like real time syncing, solid security, and monetization models for organizations. Developed on Firebase for backend functions and real time data refresh, JWT JSON Web Token for safe user authentication, and Razor pay for built in payment processing, CloudFileHub provides an integrated solution for personal and enterprise users alike.The platform allows users to upload, store, and share files of different types securely, with real time collaboration and file access across devices. The architecture of CloudFileHub uses React for a responsive front end and Tailwind CSS for styling, providing a seamless user experience. Its real time synchronization capabilities address the typical issue of file version conflicts, while JWT based authentication and multi factor authentication MFA protect sensitive information from unauthenticated access. The streamlined payment with Razor pays allows companies to make money from file sharing services through direct payment within the platform.The current paper delves into CloudFileHubs design, major functions, payment system integration, and security features and gives a comparison with current offerings such as Google Drive and Dropbox. The paper also discusses issues that were experienced while developing, for instance, scalability and security of data, and gives recommendations for possible solutions. Additionally, the paper addresses some of the applications such as small business uses, freelancing uses, and uses by remote teams and explains the future perspectives on how the platform can be improved. CloudFileHub showcases the ways that advanced cloud storage services can provide immediate file management using robust security controls and payment systems. Rutuja Kamble | Samruddhi Ramteke | Rajratna Bodade | Samyak Bhongade | Rajat Randai | Sahil Wasnik | Prof. Poonam Kale | Prof. Anupam Chaube "CloudFileHub: A Seamless File Management and Storage Solution" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76216.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76216/cloudfilehub-a-seamless-file-management-and-storage-solution/rutuja-kamble
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| Bridging the Gap Developing Sign Language System for Enhanced Understanding among the Hearing Impaired | | Author : Om Anjikar | Om Kokas | Prathmesh Adhau | Prajwal Pawar | Muskan Sahu | Palak Badhe | | Abstract | Full Text | Abstract :Communication limitations between hearing impaired individuals and the general population gift great challenges in daily interactions. The loss of a universally understood medium of conversation often effects in social isolation, restrained educational opportunities, and workplace risks for the deaf community. This research explores the development of superior signal language structures that facilitate better know how and integration.The examine leverages technological advancements consisting of synthetic intelligence, system learning, and computer imaginative and prescient to research and broaden computerized sign language popularity and translation structures. Through an intensive overview of current research, we highlight the contemporary boundaries of sign language interpretation equipment, which includes accuracy, actual time responsiveness, and linguistic range. Furthermore, we suggest a framework incorporating deep learning techniques, especially convolutional neural networks CNNs and herbal language processing NLP , to improve gesture reputation and contextual translation. The research emphasizes multimodal tactics that combine hand gesture monitoring with facial expression and body movement analysis to enhance recognition accuracy.This research will contribute to the continuing evolution of inclusive era, ensuring that listening to impaired people can have interaction greater seamlessly with society. Future directions encompass real time cellular programs and wearable technology integration to provide continuous accessibility, with a focus on improving reaction time and recognition accuracy for various dialects of sign language. Om Anjikar | Om Kokas | Prathmesh Adhau | Prajwal Pawar | Muskan Sahu | Palak Badhe "Bridging the Gap: Developing Sign Language System for Enhanced Understanding among the Hearing Impaired" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76222.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76222/bridging-the-gap-developing-sign-language-system-for-enhanced-understanding-among-the-hearing-impaired/om-anjikar
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| AI CyberAcademy “Revolutionizing Cybersecurity Education with Intelligent eLearning” | | Author : Smruti Hatwar | Rajat Bhatpahare | Rohan Hedau | Tejasvi Chaudhay | Samarth Harshe | Harsh Ramtekkar | | Abstract | Full Text | Abstract :The rapid evolution of cyber threats necessitates an equally advanced approach to cybersecurity education. Traditional training methods struggle to keep pace with emerging threats, skill gaps, and the increasing demand for cybersecurity professionals. AI CyberAcademy leverages artificial intelligence AI to revolutionize cybersecurity education through intelligent eLearning platforms that offer personalized, adaptive, and efficient training.AI driven cybersecurity education transforms learning experiences by utilizing machine learning algorithms, natural language processing, and data analytics to tailor course content to individual learners. Unlike conventional static curricula, AI CyberAcademy dynamically adjusts difficulty levels, recommends relevant modules, and provides real time feedback based on learners progress and performance. Gamification, interactive simulations, and virtual labs further enhance engagement, making complex cybersecurity concepts more accessible and practical.One of AI CyberAcademys key advantages is its ability to offer scenario based learning that mimics real world cyberattacks. By analyzing threat intelligence and past cyber incidents, AI driven simulations create immersive, hands on exercises that train students in threat detection, incident response, and ethical hacking. AI powered chatbots and virtual mentors provide instant assistance, answering queries and guiding learners through challenges.Furthermore, AI CyberAcademy democratizes cybersecurity education by making high quality training available to individuals worldwide. The integration of AI driven analytics helps identify skill gaps and suggests personalized career pathways, preparing learners for industry recognized certifications such as CISSP, CEH, and CISM. Additionally, corporate training programs benefit from AI driven risk assessments that align employee education with organizational security needs.The impact of AI CyberAcademy extends beyond individual learning, as it fosters a collaborative ecosystem where AI continuously updates course content to reflect the latest cyber threats and defense strategies. This continuous learning approach ensures cybersecurity professionals remain ahead of adversaries in an ever evolving digital landscape.By merging AI and cybersecurity education, AI CyberAcademy addresses the global talent shortage, enhances workforce readiness, and fortifies cybersecurity resilience. As cyber threats grow in complexity, the role of AI in cybersecurity education becomes indispensable, making AI CyberAcademy a game changer in the field. Smruti Hatwar | Rajat Bhatpahare | Rohan Hedau | Tejasvi Chaudhay | Samarth Harshe | Harsh Ramtekkar "AI CyberAcademy: “Revolutionizing Cybersecurity Education with Intelligent eLearning”" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76223.pdf Paper URL: https://www.ijtsrd.com/computer-science/artificial-intelligence/76223/ai-cyberacademy-“revolutionizing-cybersecurity-education-with-intelligent-elearning”/smruti-hatwar
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| One Stop Service Portal Finding Reliable Maids, Pandits, Plumbers, and More | | Author : Poonam Patel | Nidhi Pandey | Mahek Thakur | Neha Rasekar | Nutun Urkunde | Karthik Seety | Usha Kosarkar | Subhra Chincuplture | Smita Muley | | Abstract | Full Text | Abstract :Complete One stop service portal is a one stop solution for homeowners seeking reliable, affordable, and high quality home repair, renovation, and improvement services. Offering a comprehensive range of services, from plumbing and electrical work to remodeling and interior design, our platform connects customers with skilled professionals who are committed to transforming homes into functional, stylish, and safe living spaces. With a user friendly interface, detailed service offerings, transparent pricing, and a customer first approach, Complete One stop service portal ensures every project is completed on time, within budget, and to the highest standards. Whether you need a quick fix or a full home makeover, Complete One stop service portal is here to make your vision a reality.One stop service portal is an innovative and customer centric home repair and improvement service platform designed to simplify and streamline the process of maintaining and upgrading residential spaces. With a focus on convenience, quality, and affordability, One stop service portal connects homeowners with trusted professionals for a wide range of services, from routine repairs to complex renovations. Through its user friendly mobile app and website, One stop service portal offers easy access to a network of skilled technicians, transparent pricing, and real time updates on service progressThe platform prioritizes customer satisfaction, ensuring timely, reliable, and high quality results that enhance the functionality and aesthetic value of homes. One stop service portal aims to revolutionize the home service industry by combining technology and expert craftsmanship to meet the evolving needs of modern homeowners.One stop service portal is a cutting edge home repair and improvement platform that leverages technology to connect homeowners Poonam Patel | Nidhi Pandey | Mahek Thakur | Neha Rasekar | Nutun Urkunde | Karthik Seety | Usha Kosarkar | Subhra Chincuplture | Smita Muley "One Stop Service Portal: Finding Reliable Maids, Pandits, Plumbers, and More" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76224.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76224/one-stop-service-portal-finding-reliable-maids-pandits-plumbers-and-more/poonam-patel
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| GarageLocator A Real Time Platform for Finding Nearby Garages and Services | | Author : Aman Shastrakar | Abhijeet Warambhe | Ayush Mhaiskar | Abhijeet Ukey | Tanmay Chitnis | Ujjwal Shukla | | Abstract | Full Text | Abstract :In urban environments, the demand for convenient and reliable automotive services is ever growing, yet locating a nearby garage or service center remains a significant challenge for drivers. GarageLocator is a real time platform designed to bridge this gap by leveraging geolocation technologies and comprehensive service databases to connect users with nearby automotive service providers. This paper explores the development and implementation of GarageLocator, detailing its architecture, data integration methods, and user interface design. The platform incorporates real time location tracking, an extensive directory of garages categorized by services offered, and user generated reviews to enhance decision making. Additionally, GarageLocator employs a recommendation algorithm that adapts to user preferences and history, providing personalized suggestions. We conducted a mixed methods evaluation, combining usability testing with a field study across three metropolitan areas, to assess the effectiveness of the platform. Results indicated a 35 reduction in time spent searching for services and a 20 increase in customer satisfaction regarding service choices. The implications of this study suggest that platforms like GarageLocator can significantly improve urban mobility by streamlining access to automotive services, ultimately contributing to more efficient transportation networks and enhanced user experiences. Future work will focus on integrating predictive maintenance alerts and expanding the service network to suburban and rural areas. Aman Shastrakar | Abhijeet Warambhe | Ayush Mhaiskar | Abhijeet Ukey | Tanmay Chitnis | Ujjwal Shukla "GarageLocator: A Real-Time Platform for Finding Nearby Garages and Services" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76225.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76225/garagelocator-a-realtime-platform-for-finding-nearby-garages-and-services/aman-shastrakar
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| Organic Food as a Therapeutic Approach Diet Plans for Managing Cardiovascular, Diabetes, and Digestive Disorders | | Author : Payal Sandel | Raj Bagde | Sakshi Maske | Aman Shendre | Saloni Ghode | Riya Kinhekar | Prof. Poonam Kale | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :The increasing awareness of health and environmental sustainability has driven the demand for organic diets and eco friendly lifestyles. NutriLife is an innovative web platform designed to provide personalized organic diet plans while promoting sustainable food choices. By leveraging AI driven recommendations, expert nutritional guidance, and interactive community features, NutriLife empowers individuals to make informed dietary decisions that support both personal well being and environmental conservation. The platform also educates users on the benefits of organic foods, reducing processed food consumption, and adopting sustainable eating habits. This research examines the impact of digital solutions in promoting healthier lifestyles, emphasizing the role of technology in bridging the gap between consumer awareness and practical dietary implementation. Findings suggest that platforms like NutriLife can play a crucial role in fostering a global movement toward healthier, more sustainable food consumption. Payal Sandel | Raj Bagde | Sakshi Maske | Aman Shendre | Saloni Ghode | Riya Kinhekar | Prof. Poonam Kale | Prof. Anupam Chaube "Organic Food as a Therapeutic Approach: Diet Plans for Managing Cardiovascular, Diabetes, and Digestive Disorders" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76226.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76226/organic-food-as-a-therapeutic-approach-diet-plans-for-managing-cardiovascular-diabetes-and-digestive-disorders/payal-sandel
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| The Free Aqua Wave A Social Media Strategy for Brand Growth | | Author : Chaitali Kanfade | Rajkumar Nagpure | Divya More | Sojwal Jichkar | Karan Kale | Himanshu Naitam | Prof. Monica Chaudhary | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :The Free Aqua Wave is an economical approach to natural social media expansion that makes use of platform algorithms, audience interaction, and viral content. By avoiding an over reliance on sponsored marketing, this strategy seeks to establish a self sustaining brand environment. High quality content production, algorithmic optimization, community involvement, data driven decision making, and performance analytics are all components of the strategy. Understanding audiencedemographics, content production, algorithmic optimization, community development, and performance analytics are important elements. Measuring engagement, growth, and conversion indicators with performance analytics enables brands to make dynamic plan adjustments for steady gains. Because it boosts visibility, creates enduring audience relationships, lessens reliance on paid promotion, and creates a distinctive brand presence, the Free Aqua Wave method is especially beneficial for startups, small businesses, and content creators.In order to create natural reach and community driven momentum, the strategy places a high priority on user generated content, storytelling, and multimedia formats. By using platform specific material, uploading at the best times for engagement, and employing SEO driven captions, it also adjusts to platform algorithms. Through social proof components and active engagement with followers, the method cultivates a sense of loyalty and belonging. Chaitali Kanfade | Rajkumar Nagpure | Divya More | Sojwal Jichkar | Karan Kale | Himanshu Naitam | Prof. Monica Chaudhary | Prof. Usha Kosarkar "The Free Aqua Wave: A Social Media Strategy for Brand Growth" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76227.pdf Paper URL: https://www.ijtsrd.com/management/marketing/76227/the-free-aqua-wave-a-social-media-strategy-for-brand-growth/chaitali-kanfade
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| Mental Well A Smart System for Managing Mental Health and Identifying Psychological Disorders | | Author : Rohan Andeo | Juhi Purankar | Lokesh Gakhre | Srushti Bhavik | Harshal Raut | Kiranjot Kaur Lehal | | Abstract | Full Text | Abstract :Mental Well is an intelligent system designed to manage mental health and identify psychological disorders using AI driven analytics. It provides users with personalized mental wellness support through mood tracking, self assessments, and guided interventions. The system integrates machine learning algorithms to detect early signs of psychological distress. Users receive tailored recommendations based on their emotional patterns and behavioral data. Mental Well offers an interactive Chabot for real time support and mental health insights. The platform ensures data privacy and security, promoting a safe environment for users. It employs cognitive behavioral techniques to assist in stress management. The system is designed for individuals, therapists, and healthcare providers. Its user friendly interface enhances engagement and ease of access. By leveraging AI, it helps bridge the gap in mental health care. Mental Well fosters proactive mental well being and early intervention strategies. Rohan Andeo | Juhi Purankar | Lokesh Gakhre | Srushti Bhavik | Harshal Raut | Kiranjot Kaur Lehal "Mental Well: A Smart System for Managing Mental Health & Identifying Psychological Disorders" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76228.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76228/mental-well-a-smart-system-for-managing-mental-health-and-identifying-psychological-disorders/rohan-andeo
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| Seamless Sounds | | Author : Rahul Bhagat | Akash Singh | Badal Baryerkar | Ankit Bisen | Ashwini Sorgile | | Abstract | Full Text | Abstract :Seamless sound systems have gained significant traction in recent years, facilitating uninterrupted audio transitions across multiple devices and contexts. This paper presents a comprehensive review of seamless sound technologies, exploring their architecture, methodologies, and applications. We propose an all in one seamless sound experience model that integrates feature extraction, classification, and real time processing for dynamic environments. The research highlights the challenges in achieving perfect synchronization and evaluates the proposed models performance in terms of accuracy, latency, and user experience. Experimental results demonstrate the efficacy of the model in real world scenarios, paving the way for future advancements in audio systems. Seamless sound systems are integral to enhancing user experiences in diverse environments, such as smart homes, virtual reality, and multimedia applications. Despite advancements in audio technologies, challenges like latency, synchronization, and adaptability continue to hinder the creation of truly uninterrupted audio experiences. This paper provides a comprehensive review of current research and practices in seamless sound delivery, highlighting key technical issues and the limitations of existing systems. We introduce an innovative all in one framework that combines real time feature extraction, machine learning based classification, and dynamic sound optimization. The proposed system dynamically adapts to the surrounding environment and user preferences, ensuring seamless transitions across multiple devices. Extensive evaluation through performance metrics such as classification accuracy, latency, and user satisfaction confirms the efficacy of the model, demonstrating a significant improvement over traditional approaches. The findings of this study suggest that this unified solution has the potential to revolutionize sound system integration and establish new standards for seamless audio experiences across various platforms and applications. Rahul Bhagat | Akash Singh | Badal Baryerkar | Ankit Bisen | Ashwini Sorgile "Seamless Sounds" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76229.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76229/seamless-sounds/rahul-bhagat
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| Regulating the Exchange of Unused Medicines The Role of Pharma Exchange in Improving Medicine Accessibility | | Author : Dnyanda Waghmare | Meer Fulzela | Akash Kanojiya | Lekhi Chaudhari | Mansi Lokhande | Osama Arif | | Abstract | Full Text | Abstract :Waste reduction, cost reduction, and improved access to healthcare worldwide may all be achieved by the redistribution of unneeded medications. This study investigates the function of Pharma Exchange, a fictitious website intended to make it easier for people to safely and responsibly trade their unneeded medications. In order to determine how such a platform could overcome obstacles to pharmaceutical redistribution while maintaining safety and efficacy, the article examines regulatory frameworks, ethical issues, and logistical difficulties. The results emphasize the substantial economic and public health advantages of establishing Pharma Exchange, underscoring the necessity of creative policies to enable the sustainable and profitable exchange of unused medications on a worldwide basis.By combining quantitative assessments of the economic and environmental benefits with qualitative analysis of ethical issues and regulatory frameworks, the study uses a mixed method approach. Concerns about drug safety and authenticity, regulatory limitations that label unwanted pharmaceuticals as waste, and logistical difficulties with storage and transportation are some of the main obstacles that are examined in this study. According to research, while redistribution initiatives are hampered by many nations current pharmaceutical laws, technical developments like blockchain and artificial intelligence may improve tracking, security, and verification systems. The outcomes show that putting in place a structured pharmaceutical exchange system has a number of important benefits. Pharma Exchange could economically alleviate the cost of treating rare and chronic illnesses, especially in low income areas, by redistributing excess pharmaceuticals.Benefits to the environment include an estimated 30 decrease in pharmaceutical waste and a reduction in pollution caused by inappropriate drug disposal. Socially, the platform could increase treatment adherence rates by up to 25 and enhance healthcare access for underserved people. Furthermore, a framework for internationally coordinated redistribution might aid in bridging the gap between medicine surpluses in affluent areas and shortages in settings with low resources. Stakeholder cooperation, technology integration, and worldwide regulatory harmonization are necessary for the effective deployment of a system such as Pharma Exchange. The study emphasizes the necessity of a single legislative framework that mitigates ethical issues while striking a balance between safety, effectiveness, and accessibility. To create standardized procedures that guarantee the safe and transparent redistribution of medications, policymakers, medical practitioners, and technology developers must collaborate. Dnyanda Waghmare | Meer Fulzela | Akash Kanojiya | Lekhi Chaudhari | Mansi Lokhande | Osama Arif "Regulating the Exchange of Unused Medicines: The Role of Pharma Exchange in Improving Medicine Accessibility" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76230.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76230/regulating-the-exchange-of-unused-medicines-the-role-of-pharma-exchange-in-improving-medicine-accessibility/dnyanda-waghmare
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| Originality Guard A Smart Approach to Combatting Plagiarism and Promoting Original Work | | Author : Jatin Bhaduri | Soham Deshpande | Kinchit Kawade | Khushi Joshi | Kileshwar Turkar | Ayush Singh | | Abstract | Full Text | Abstract :Plagiarism remains a critical issue in academic, professional, and creative domains, undermining the integrity of original work. This research introduces “Originality Guard,” an integrated smart system that leverages natural language processing NLP , machine learning algorithms, and network analysis to detect and prevent plagiarism while promoting originality. The proposed framework combines advanced data collection techniques, sophisticated data pre processing, and an innovative research model that utilizes deep learning and semantic analysis. The system’s performance is evaluated on several benchmark datasets and a newly collected corpus from multiple educational institutions. Our evaluation metrics—precision, recall, F1 score, and processing time—indicate that Originality Guard outperforms many traditional plagiarism detection tools, offering a comprehensive solution that not only detects plagiarism but also encourages original contributions. The research concludes with recommendations for future work and potential integrations with academic writing platforms. Jatin Bhaduri | Soham Deshpande | Kinchit Kawade | Khushi Joshi | Kileshwar Turkar | Ayush Singh "Originality Guard: A Smart Approach to Combatting Plagiarism and Promoting Original Work" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76231.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76231/originality-guard-a-smart-approach-to-combatting-plagiarism-and-promoting-original-work/jatin-bhaduri
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| VAXHUB Streamlining Vaccination Details and Monitoring through Digital Solutions | | Author : Shreya Prajapati | Tanishq Prajapati | Tushar Mohod | Tejas Dhengre | Tanmayi Meshram | Vanshika Mahato | Prof. Usha Kosharkar | | Abstract | Full Text | Abstract :The rapid advancements in digital technology have provided new opportunities to enhance public health systems, particularly in the management of vaccination programs. VaxHub is a digital solution designed to streamline vaccination details and monitoring, offering a centralized platform to track vaccination records, schedules, and status for individuals and healthcare providers. The system enables real time updates on vaccine availability, appointment scheduling, and reminders, improving access to timely immunizations. Through data integration, VaxHub also facilitates monitoring of vaccination coverage, helps identify gaps in immunization, and assists in effective resource allocation. By leveraging mobile applications, cloud storage, and user friendly interfaces, VaxHub seeks to enhance vaccine distribution and compliance, reducing inefficiencies and improving overall public health outcomes. The solution promises to play a pivotal role in ensuring comprehensive immunization, minimizing vaccine hesitancy, and supporting pandemic response efforts globally. Shreya Prajapati | Tanishq Prajapati | Tushar Mohod | Tejas Dhengre | Tanmayi Meshram | Vanshika Mahato | Prof. Usha Kosharkar "VAXHUB: Streamlining Vaccination Details and Monitoring through Digital Solutions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76241.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76241/vaxhub-streamlining-vaccination-details-and-monitoring-through-digital-solutions/shreya-prajapati
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| Vehiclelogix A Comprehensive Approach to Data Driven Vehicle Valuation | | Author : Parth Nakhate | Prashant Kashyap | Prathamesh Mandavkar | Prathamesh Machave | Sanket Karole | Harshal Karare | | Abstract | Full Text | Abstract :The automotive industry is undergoing a significant transformation, driven by advancements in technology, changing consumer preferences, and the increasing availability of data. Accurate vehicle valuation is crucial for various stakeholders, including dealerships, consumers, and financial institutions, as it directly impacts buying, selling, and financing decisions. Traditional methods of vehicle valuation often rely on static data and historical trends, which may not adequately reflect the dynamic nature of the market.This paper introduces Vehiclelogix, a comprehensive framework designed to enhance vehicle valuation through a data driven approach. By leveraging machine learning algorithms, big data analytics, and real time market data, Vehiclelogix aims to provide a robust and adaptive valuation model that can respond to fluctuations in market conditions and consumer behavior. The framework integrates diverse data sources, including historical sales data, vehicle specifications, and market trends, to create a holistic view of the factors influencing vehicle value.The methodology involves the application of advanced machine learning techniques, such as regression models and ensemble methods, to predict vehicle values based on multiple influencing factors. The incorporation of real time analytics allows the system to adjust valuations dynamically, ensuring that stakeholders have access to the most current and relevant information.User experience is also a key focus of Vehiclelogix, with an intuitive interface designed to facilitate easy access to valuation insights and analytics. The frameworks effectiveness is evaluated through rigorous testing and validation processes, demonstrating significant improvements in valuation accuracy compared to traditional methods.The findings indicate that Vehiclelogix not only enhances the precision of vehicle valuations but also empowers stakeholders to make informed decisions in a rapidly evolving automotive market. Future work will explore the expansion of the dataset, refinement of algorithms, and the inclusion of additional features to further enhance the valuation models accuracy and applicability. Parth Nakhate | Prashant Kashyap | Prathamesh Mandavkar | Prathamesh Machave | Sanket Karole | Harshal Karare "Vehiclelogix: A Comprehensive Approach to Data-Driven Vehicle Valuation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76242.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76242/vehiclelogix-a-comprehensive-approach-to-datadriven-vehicle-valuation/parth-nakhate
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| Real Connect A Smart Video Conferencing Tool for Personal and Professional Communication | | Author : Khushali Kumeriya | Neha Shende | Nagamounika Yaganti | Kashish Mutkure | Khushi Sharma | Bhagyashree Naigaonkar | | Abstract | Full Text | Abstract :Real Connect is an innovative video conferencing tool created to upgrade the virtual meeting experience using the latest technologies, such as P2P connections via WebRTC and AI driven features like live translation and real time captioning. As remote communication becomes vital in todays world, Real Connect wants to offer seamless, high quality platforms for both personal and professional use. At the core, the architecture used by Real Connect is based on WebRTC technology that offers direct peer to peer communication, eliminating the presence of centralized servers during a call. It guarantees low latency, enhancement in the audio and video qualities, while safeguarding against various network threats to present a better connection quality. Such kind of P2P architecture means better performance as well as low congestion on the networks, guaranteeing smooth and undisturbed conversation even at slower bandwidths. Some of the key differentiators for Real Connect include AI powered live translation and real time captioning. The platform will be able to translate spoken language into text using advanced natural language processing algorithms, enabling participants of different linguistic backgrounds to interact without any barriers. Live Translation gives way to truly global communication whereby your speech gets instant captions in any preferred language in a meeting. At the same time, this further allows accurate immediate translations in case of a meeting it enables more accessibility to hearing challenged users or for customers who find themselves under noisy conditions so that nobody miss a point easily. RealConnect also provides the user with personalization settings captioning languages, toggling audio and video on and off, a set of virtual meeting tools like screen sharing, file sharing, and recording meetings. The platform is intuitively designed it has a user friendly interface that allows seamless transitions between different modes of communication, whether it is a one on one call, a team meeting, or a large scale webinar. Security is the major or most significant in Real Connect, where full data encryption provides the best level of protection for users information and privacy. Adding to the high level of its security, the system has an added authentication capability in place, guaranteeing that only authorized participants could join meetings on this platform. Real Connect unifies all WebRTC functionalities, which enable features such as AI powered live translation and captions in an effective online interactive video conferencing package. These functionalities amplify both communication efficiency and diversely situated inclusive global teams engagement, further destroying existing linguistic barriers among team members or partners. Khushali Kumeriya | Neha Shende | Nagamounika Yaganti | Kashish Mutkure | Khushi Sharma | Bhagyashree Naigaonkar "Real Connect: A Smart Video Conferencing Tool for Personal and Professional Communication" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76243.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76243/real-connect-a-smart-video-conferencing-tool-for-personal-and-professional-communication/khushali-kumeriya
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| Smart Animal Care Enhancing Veterinary Services through Digital Data Management | | Author : Chetan Mahalle | Himanshi Katre | Lalu Gaygaye | Vedant Kedar | Mohommad Sahil Sheikh | Harshal Behniya | Prof. Poonam Kale | Prof. Shweta Wase | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :Digital technologies have transformed the ability to monitor, manage, and treat animal health, and over the last couple of years, we have seen the landscape of veterinary care change heavily. A New Era of CareSmart animal care powered by digital data management tools, IoT devices, AI and ML, and telemedicine is paving the way for veterinary services. You are Part focused uncovering the potential of these technologies as we delve into how they are helping vets do their jobs even better including better monitoring of the health of animals, improved accuracy of diagnoses, and increased efficiency at the clinic. We discuss the integration of smart technologies even in animal care and the benefits these can provide to both veterinarians and pet owners, along with the challenges and barriers to mass adoption. it also explores case studies that show how digital data management is even being applied to veterinary practices around the world and what that means for trends in animal care globally. The paper wraps up with directions for future smart animal care and how veterinary services will evolve through digitalising the industry. Chetan Mahalle | Himanshi Katre | Lalu Gaygaye | Vedant Kedar | Mohommad Sahil Sheikh | Harshal Behniya | Prof. Poonam Kale | Prof. Shweta Wase | Prof. Anupam Chaube "Smart Animal Care: Enhancing Veterinary Services through Digital Data Management" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76244.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76244/smart-animal-care-enhancing-veterinary-services-through-digital-data-management/chetan-mahalle
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| Talent Empowerment through HirePoint A Model for Career Success | | Author : Rahul Singh | Rohit Durbude | Pranay Deshmukh | Omesh Vaidya | Piyush Sukhawani | Samarth Mankar | Poonam Kale | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :The HirePoint is a comprehensive solution designed to address the inefficiencies associated with traditional manual processes in recruitment and job seeking activities. The system leverages user friendly computer software and modern technological equipment to streamline operations, ensuring efficient data storage, quick retrieval, and optimized functionality. Its primary objective is to automate repetitive manual tasks, enabling seamless interactions between job seekers and employers while fostering productivity and convenience. This approach caters to the growing demand for digital solutions that enhance organizational and individual efficiency in an increasingly competitive job market.One of the key aspects of the system is its emphasis on meeting user needs. The platform is developed with a focus on usability and accessibility, ensuring that both employers and job seekers can navigate the interface effortlessly. By providing a well structured and intuitive design, the system minimizes the learning curve, making it accessible even to users with limited technical expertise. This user centric approach encourages adoption and satisfaction, thereby creating a robust environment for job related activities.The system also places significant importance on the extended storage of critical information. With the advancement of cloud based and on premise storage solutions, the job portal offers ample space to store vast amounts of data securely. Job seekers can maintain detailed profiles, resumes, and application histories, while employers can store job postings, candidate details, and feedback records. This eliminates the need for physical documentation and manual record keeping, ensuring that all necessary information is readily available at any time. The use of such storage mechanisms enhances the reliability and durability of data while reducing the risk of loss or corruption.Another notable feature of the HirePoint is its ability to facilitate efficient and dependable management. By automating mundane tasks such as filtering job applications, matching candidates to relevant roles, and updating records, the system reduces the administrative burden on users. Employers can focus on selecting the best talent, and job seekers can concentrate on preparing for interviews and skill development. The system also incorporates advanced search and filter functionalities, ensuring that users can quickly access the information most relevant to their needs without being overwhelmed by irrelevant data.Furthermore, the portal eliminates the redundancies associated with manual record keeping. Duplicate entries, a common challenge in traditional systems, are minimized through automated processes and unique identifiers. This not only saves time but also improves data accuracy, allowing organizations to operate more effectively. Streamlined record maintenance contributes to better resource utilization, as time and energy previously spent on managing records can now be directed toward strategic activities.By optimizing resource allocation and simplifying management tasks, the system enhances organizational productivity. Employers can make data driven hiring decisions, reducing the time to hire and improving workforce quality. Job seekers, on the other hand, benefit from tailored job recommendations and a more engaging application process, ultimately improving their chances of securing desired roles. The portal’s ability to align job seekers with suitable opportunities fosters a more efficient labor market, benefiting individuals and organizations alike.In conclusion, the HirePoint is a transformative tool designed to improve client services and overall performance. By streamlining management tasks and automating processes, it minimizes distractions and maximizes efficiency. Its user friendly design, extended storage capabilities, and focus on relevant information retrieval ensure a seamless experience for all stakeholders. The system not only simplifies recruitment and job seeking activities but also drives organizational growth by enabling smarter and faster decision making. As technology continues to evolve, such digital solutions are essential for navigating the complexities of modern employment dynamics. In today’s competitive world, the professional landscape is marked by a relentless race to secure the best opportunities across all fields. This competition extends significantly to the job market, where both job seekers and recruiters face numerous challenges in finding their ideal matches. As industries expand and diversify, the need for an efficient, accessible, and user friendly system to bridge the gap between potential employees and employers has become paramount. This is where job portals play a crucial role.A job portal is an online platform specifically designed to provide detailed information and services to both recruiters and job seekers. These platforms act as a centralized hub where individuals seeking employment and organizations in need of skilled professionals can connect effectively. For job seekers, job portals simplify the process of finding suitable opportunities that align with their educational qualifications, prior work experience, and personal preferences. Similarly, for recruiters, these portals provide access to an extensive pool of potential candidates, making the process of finding the right fit for their organizations more efficient and less time consuming.The core functionality of a job portal revolves around enabling seamless interaction between job seekers and recruiters. It acts as a digital intermediary that facilitates communication and collaboration, ensuring both parties can achieve their respective goals in the shortest possible time. For job seekers, the platform offers features such as personalized job recommendations, resume building tools, and access to information about various companies. These features help candidates identify roles that match their skill sets and aspirations while also providing them with insights into the expectations and requirements of potential employers.On the other hand, recruiters benefit from the comprehensive databases of job portals, which contain detailed profiles of countless applicants. These databases allow recruiters to filter candidates based on specific criteria such as qualifications, experience, location, and job preferences. The advanced search and matching algorithms used by job portals significantly reduce the time and effort required to identify suitable candidates, making the recruitment process faster and more effective. Furthermore, job portals often include additional functionalities like interview scheduling, application tracking, and automated communication tools, further streamlining the hiring process.The primary objective of developing such an application is to create a robust system that fosters meaningful interaction between employers and job seekers. By facilitating this interaction, the job portal aims to address several challenges inherent in the traditional recruitment process. For instance, the conventional methods of hiring, such as newspaper advertisements or relying solely on word of mouth recommendations, often limit the pool of potential candidates and prolong the hiring process. In contrast, job portals provide recruiters with access to a global talent pool, breaking geographical barriers and enabling organizations to find candidates who meet their precise requirements.Moreover, job portals also empower job seekers by giving them greater control over their career trajectories. These platforms allow applicants to explore diverse opportunities across industries, compare job offers, and make informed decisions about their professional futures. The interactive nature of job portals ensures that communication between recruiters and job seekers is transparent and efficient, reducing the likelihood of misunderstandings or mismatches.The ultimate goal of a job portal is to simplify and accelerate the recruitment process for all parties involved. By leveraging modern technology, such as artificial intelligence, machine learning, and data analytics, job portals are continually evolving to offer more personalized and efficient solutions. These advancements ensure that job seekers are matched with opportunities that align closely with their skills and preferences, while recruiters can identify and hire the best candidates without unnecessary delays.In conclusion, job portals serve as an essential tool in the modern job market, addressing the needs of both job seekers and recruiters. By facilitating seamless interaction and providing a range of features designed to simplify the recruitment process, these platforms play a critical role in ensuring that individuals and organizations can achieve their professional objectives in an increasingly competitive environment. Rahul Singh | Rohit Durbude | Pranay Deshmukh | Omesh Vaidya | Piyush Sukhawani | Samarth Mankar | Poonam Kale | Prof. Anupam Chaube "Talent Empowerment through HirePoint: A Model for Career Success" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: http://admin.ejournalpublication.com/papers/ijtsrd76246.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76246/talent-empowerment-through-hirepoint-a-model-for-career-success/rahul-singh
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| Beacon Track A Real Time Smart Navigation System for Nearby Device Detection | | Author : Aditi Khobragade | Bhavesh Kamde | Akansha Gaherwar | Akhilesh Iyer | Aman Bhagat | Ankit Yadav | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :With the advent of intelligent technology in modern times, uninterrupted navigation and proximity based interaction are essential in industries like retail, healthcare, museums, and smart campuses. BeaconTrack is a real time smart navigation platform based on Bluetooth Low Energy BLE beacon technology that can efficiently detect and engage with devices within proximity. The platform offers precise location tracking, leading users to their destinations and facilitating contextual alerts and automated interactions based on proximity. By combining beacon signals with a mobile app, BeaconTrack provides low power consumption and high accuracy in identifying proximate devices. The system uses sophisticated filtering and triangulation methods to improve real time accuracy, minimizing interference and signal variation. The solution is used in indoor navigation, asset tracking, visitor direction, and smart facility management, improving user experience and operational efficiency. The system is implemented with a scalable design, enabling dynamic registration of beacons and real time updates for optimal performance. Security features like encryption and authentication protocols are built in to ward off unauthorized access and spoofing attacks. Experimental results show that the system works well in enhancing navigation accuracy and response time and is a promising solution for smart environments. The rapid advancement of wireless communication and location based services has led to the development of intelligent navigation systems that enhance real time tracking and proximity detection. Beacon Track is a smart navigation system designed to detect and interact with nearby devices in real time, leveraging Bluetooth Low Energy BLE beacons and advanced signal processing techniques. This system is particularly useful in environments such as shopping malls, airports, museums, and smart cities, where precise indoor navigation and contextual awareness are required.Beacon Track integrates BLE technology with machine learning algorithms to analyze signal strength, proximity data, and movement patterns, ensuring accurate location tracking with minimal energy consumption. The system consists of three core components 1 BLE beacon infrastructure, 2 a mobile or embedded device with a BLE receiver, and 3 a cloud based or edge processing server for real time data analysis. The system continuously scans for nearby devices, determining their relative position and movement using Received Signal Strength Indicator RSSI values and trilateration techniques. To enhance precision, it incorporates filtering algorithms such as Kalman and particle filters to mitigate signal fluctuations caused by environmental interference.A key feature of Beacon Track is its real time alert mechanism, which provides contextual notifications and navigational guidance based on detected devices. Users benefit from dynamic navigation support, personalized recommendations, and seamless interaction with smart environments. Additionally, the system ensures privacy and security through encrypted communication and anonymized device identifiers, preventing unauthorized tracking.Performance evaluations indicate that Beacon Track outperforms traditional proximity detection systems by offering improved accuracy, reduced latency, and efficient power utilization. This makes it an ideal solution for applications in retail analytics, smart transportation, emergency evacuation guidance, and assistive navigation for visually impaired individuals. Aditi Khobragade | Bhavesh Kamde | Akansha Gaherwar | Akhilesh Iyer | Aman Bhagat | Ankit Yadav | Prof. Anupam Chaube "Beacon Track: A Real-Time Smart Navigation System for Nearby Device Detection" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76247.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76247/beacon-track-a-realtime-smart-navigation-system-for-nearby-device-detection/aditi-khobragade
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| DigiVision Advancing Public Health Awareness through Multi Disease Diagnostic Technology | | Author : Dipti Patle | Munishwar Game | Kejal Rokde | Sayli Maske | Sahil Chavhan | Chinmay Ambade | Prof. Poonam Kale | Prof. Shweta Wase | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :Early and accurate disease detection is crucial for effective treatment, disease prevention, and public health management. However, traditional diagnostic methods often face challenges such as high costs, limited accessibility, and prolonged processing times, particularly in resource limited settings. DigiVision aims to bridge this gap by developing an AI powered multi disease diagnostic technology that integrates digital imaging, biosensors, and machine learning algorithms. This innovative system is designed to detect and analyze multiple diseases—including infectious diseases such as tuberculosis and malaria, as well as chronic conditions like diabetes and cardiovascular disorders—with high accuracy, efficiency, and minimal human intervention. The DigiVision platform will feature a user friendly mobile and cloud based interface, allowing seamless access to diagnostic results for both healthcare professionals and individuals. By leveraging real time data analytics, the system will track disease patterns, enabling predictive insights and supporting early intervention strategies. Additionally, its cost effective, scalable, and portable design makes it an ideal solution for remote and underserved communities where healthcare resources are scarce. Beyond diagnostics, DigiVision will contribute to public health awareness by facilitating data driven decision making, improving disease surveillance, and assisting policymakers in resource allocation. Through strategic collaborations with healthcare institutions, research organizations, and government agencies, this technology has the potential to transform global healthcare by reducing diagnostic delays, enhancing disease monitoring, and ultimately saving lives. Dipti Patle | Munishwar Game | Kejal Rokde | Sayli Maske | Sahil Chavhan | Chinmay Ambade | Prof. Poonam Kale | Prof. Shweta Wase | Prof. Anupam Chaube "DigiVision: Advancing Public Health Awareness through Multi-Disease Diagnostic Technology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76245.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76245/digivision-advancing-public-health-awareness-through-multidisease-diagnostic-technology/dipti-patle
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| FakeAlert Detecting Falsified News Using Advanced Machine Learning Techniques | | Author : Shaijal Aher | Aditya Kathalkar | Isha Wararkar | Maheshwari Dhapare | Tushar Mahajan | Pratik Gour | | Abstract | Full Text | Abstract :The paper addresses the urgent challenge of detecting fake news, which has proliferated with the rise of digital media and social networks. It highlights the potential dangers posed by misinformation, including its influence on public opinion and societal stability. To combat this issue, the authors propose the FakeAlert system, which utilizes advanced machine learning ML techniques to automate the detection of falsified news articles.The rapid dissemination of fake news poses significant challenges to information integrity, influencing public opinion and societal stability. This paper reviews the application of machine learning ML techniques in detecting fake news across various platforms. By analyzing large datasets, ML algorithms identify patterns indicative of misinformation, employing methods such as Natural Language Processing NLP and feature extraction. Key steps in the detection process include data collection, preprocessing, model training, and evaluation. Various algorithms, including Logistic Regression, Random Forest Classifier RFC , and Naïve Bayes are examined for their effectiveness in classifying news articles as real or fake.The study highlights the importance of utilizing diverse datasets to improve model accuracy and mitigate biases inherent in predefined classifications. Additionally, it discusses the challenges faced in the implementation of these systems, such as data quality and the need for human oversight in verification processes. The findings underscore the potential of ML driven approaches to enhance the efficiency of fake news detection, offering a pathway towards more reliable information dissemination in an increasingly complex digital landscape. As technology evolves, continuous advancements in algorithmic strategies will be crucial for addressing the persistent issue of misinformation online. Shaijal Aher | Aditya Kathalkar | Isha Wararkar | Maheshwari Dhapare | Tushar Mahajan | Pratik Gour "FakeAlert: Detecting Falsified News Using Advanced Machine Learning Techniques" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76248.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76248/fakealert-detecting-falsified-news-using-advanced-machine-learning-techniques/shaijal-aher
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| Transforming Healthcare Developing an Online Platform for Medical Emergency Response and Assistance | | Author : Anjali Patalbansi | Pranav Rathod | Palak Chauhan | Mangesh Agone | Tinu Masirkar | Aachal Bansod | Prof. Usha Kosarkar | | Abstract | Full Text | Abstract :The rapid growth of artificial intelligence AI has propelled online healthcare platforms into a very vital means of emergency medical response and day to day management of health. AI based platforms assist patients in real time in improving patient outcomes through the automation of triage, personalized health recommendations, and an efficient system of delivering emergency services. Machine learning, telemedicine, and wearable technologies empower these platforms for accessibility and optimization of health care efficiencies. We propose an AI integrated Flask based system whereby users can input symptoms and get tailored recommendations, schedule doctor appointments, and find nearby health facilities. The paper discusses issues related to the scalability of the system, security challenges, ethical issues, and the role of predictive analysis in modern healthcare solutions. Anjali Patalbansi | Pranav Rathod | Palak Chauhan | Mangesh Agone | Tinu Masirkar | Aachal Bansod | Prof. Usha Kosarkar "Transforming Healthcare: Developing an Online Platform for Medical Emergency Response and Assistance" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76249.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76249/transforming-healthcare-developing-an-online-platform-for-medical-emergency-response-and-assistance/anjali-patalbansi
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| Face Detection Deepfake Face Detection Using the MIML Algorithm A Meta Learning Approach | | Author : Harsh Pendke | Kartik Raut | Harsh Shrivas | Ishika Mendhekar | Chandrakant Kottalwar | Govind Raut | | Abstract | Full Text | Abstract :The rise of deepfake technology, powered by artificial intelligence and deep learning, presents a major challenge to digital content authenticity. Conventional detection methods depend on deep learning models trained on specific datasets, but these models often struggle to identify previously unseen forgery techniques. This paper introduces an innovative deepfake detection framework integrating Multi Instance Multi Label MIML learning with meta learning strategies. The proposed model leverages meta learning to adapt to novel forgery techniques using limited training data, enhancing generalization. Experimental evaluation using the FaceForensics dataset demonstrates that our approach surpasses existing methods, improving accuracy and robustness while significantly reducing false positive rates. Harsh Pendke | Kartik Raut | Harsh Shrivas | Ishika Mendhekar | Chandrakant Kottalwar | Govind Raut "Face Detection: Deepfake Face Detection Using the MIML Algorithm: A Meta-Learning Approach" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76250.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76250/face-detection-deepfake-face-detection-using-the-miml-algorithm-a-metalearning-approach/harsh-pendke
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| VISIONary News Empowering the Blind through Interactive Audio Updates | | Author : Aastha Chaware | Atharva Lingayat | Rahul Baingane | Anushka Chaudhary | Bhumika Shingade | Aditya Sathyan | | Abstract | Full Text | Abstract :Information access is a basic right, but visually impaired people usually have great difficulties accessing news through the conventional means. To overcome this challenge, Visionary News A Voice Interactive Solution for Accessible News Delivery to the Visually Impaired introduces a revolutionary, voice based platform that delivers real time and personalized news content. The solution takes advantage of the latest advancements in artificial intelligence, voice recognition, and natural language processing to develop an easy to use and user friendly system that enables visually impaired users to access news without any hassle.The site offers a variety of capabilities, such as voice guided navigation, multi lingual capabilities, and adaptive content presentation based on personal preferences. By combining these technologies, Visionary News guarantees an accessible experience that supports autonomy and accessibility with less dependence on assistive devices or third party aid. The system further focuses on context sensitivity in interaction to allow users to easily access information, whether breaking news, specialized knowledge, or detailed reports.Besides meeting the functional requirements of the visually impaired, this solution also supports overarching societal objectives through social inclusion and narrowing the digital information accessibility gap. Visionary News illustrates how technology can be used to develop inclusive opportunities for marginalized communities, allowing them to remain informed and active participants in global discussions. Aastha Chaware | Atharva Lingayat | Rahul Baingane | Anushka Chaudhary | Bhumika Shingade | Aditya Sathyan "VISIONary News: Empowering the Blind through Interactive Audio Updates" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76251.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76251/visionary-news-empowering-the-blind-through-interactive-audio-updates/aastha-chaware
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| TechMall One Stop Destination for Electronics | | Author : Revant Phatik | Rajat Shahare | Raj Nikhade | Saurabh Rokde | Tejas Chawake | Prashik Waghade | Prof. Punam Kale | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :TechMall is a leading electronics retailer that offers a wide range of gadgets, appliances, and accessories under one roof. Whether youre looking for the latest smartphones, high performance laptops, home entertainment systems, or smart home devices, TechMall provides an extensive collection from top brands at competitive prices. TechMall offers a seamless shopping experience both through its website and physical stores. The online platform features easy navigation, secure payment methods, and customer reviews, while physical stores provide hands on product testing and expert assistance. TechMall is your go to destination for all things electronics. Whether youre a tech enthusiast, a gamer, or someone looking for reliable home appliances, TechMall ensures quality, affordability, and convenience under one roof. Revant Phatik | Rajat Shahare | Raj Nikhade | Saurabh Rokde | Tejas Chawake | Prashik Waghade | Prof. Punam Kale | Prof. Anupam Chaube "TechMall: One-Stop Destination for Electronics" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76252.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76252/techmall-onestop-destination-for-electronics/revant-phatik
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| OTP Authentication in Reducing ATM Fraud A Case Study Approach | | Author : Rajshekhar Gopal Lendguri | Kartik Tirupati Durgam | Prof. Poonam Kale | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :ATM fraud has become a significant concern for financial institutions worldwide, with various methods such as card skimming, PIN theft, and unauthorized access leading to millions in losses each year. This paper examines the role of One Time Password OTP authentication in mitigating ATM fraud. By reviewing two case studies of banks that adopted OTP systems in their ATM networks, this research evaluates the effectiveness of OTP in reducing fraudulent activities. The paper also explores the advantages and challenges associated with OTP implementation in the context of ATM transactions. Rajshekhar Gopal Lendguri | Kartik Tirupati Durgam | Prof. Poonam Kale | Prof. Anupam Chaube "OTP Authentication in Reducing ATM Fraud: A Case Study Approach" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76339.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76339/otp-authentication-in-reducing-atm-fraud-a-case-study-approach/rajshekhar-gopal-lendguri
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| Smart Shopper A Product Price Comparison Tool for Informed Purchasing Decisions | | Author : Ayush Ahirkar | Akshat Patle | Aryan Hedau | Bhavesh Mahalle | Anurag More | Anand Sanodiya | Prof. Shubhara Chinchmalatpure | Prof. Smita Muley | | Abstract | Full Text | Abstract :Smart Shopper is a product price comparison tool created so that consumers can explore the vast web marketplace. A lot of shops and moving costs make it hard to find the best deals. Smart Shopper simplifies this process quicker by combining product information, comprising cost, access, and seller ratings, via numerous online sources. To be able to assess choices and make better buying choices, users can look for stuff, discover categories, and check pricing histories. At last, with the biggest savings available, Smart Shopper helps clients to save expenses, optimize how they shop, and decrease spending. Ayush Ahirkar | Akshat Patle | Aryan Hedau | Bhavesh Mahalle | Anurag More | Anand Sanodiya | Prof. Shubhara Chinchmalatpure | Prof. Smita Muley "Smart Shopper: A Product Price Comparison Tool for Informed Purchasing Decisions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76253.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76253/smart-shopper-a-product-price-comparison-tool-for-informed-purchasing-decisions/ayush-ahirkar
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| TechMall One stop Destination for Electronics | | Author : Raj Nikhade | P Harshita | Tanuja Dongare | Prof. Anupam Chaube | Vipin Jain | Bindoo Malviya | Satyendra Arya | | Abstract | Full Text | Abstract :The world economy is witnessing a transition. All companies are transformed into information based operations through online technologies. The pace of technical transition is so exponential that modern electronic commerce is now making significant shifts in the economic environment, impacting all areas of industry. The Web has expanded companies scope. The vast quantity of business information made accessible by the global network that facilitates the gathering of information between firms, a corporation, its clients and the various divisions of a business is increasing exponentially. The information based virtual value chains for any company cannot be overlooked operationally or strategically. This review article discussed the aspects of electronic commerce including its importance, facilitators, benefits, challenges and scope in the Indian market. Raj Nikhade | P Harshita | Tanuja Dongare | Prof. Anupam Chaube | Vipin Jain | Bindoo Malviya | Satyendra Arya "TechMall One-stop Destination for Electronics" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76272.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76272/techmall-onestop-destination-for-electronics/raj-nikhade
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| TechBazaar All in One Electronics Store | | Author : Rajat Shahare | P Harshita | Tanuja Dongare | Prof. Anupam Chaube | | Abstract | Full Text | Abstract :E commerce Electronic commerce is a paradigm shift influencing both marketers and the customers. Rather e commerce is more than just another way to boost the existing business practices. It is leading a complete change in traditional way of doing business. This significant change in business model is witnessing a tremendous growth around the globe and India is not an exception. A massive internet penetration has added to growth of E commerce and more particularly start ups have been increasingly using this option as a differentiating business model. The current research has been undertaken to describe the scenario of E Commerce, analyze the trends of E Commerce. The study further examines the key variables imperative for the success of E commerce business models.Objective The objectives of present study are 1. To understand the present status and trends of E Commerce and2. To reveal the key variables influencing the increased usage of E Commerce. Rajat Shahare | P Harshita | Tanuja Dongare | Prof. Anupam Chaube "TechBazaar: All-in-One Electronics Store" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76273.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76273/techbazaar-allinone-electronics-store/rajat-shahare
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| EcoFood A Sustainable Food Management System for Reducing Waste and Maximizing Resources | | Author : Saurabh Raut | Shwet Gadre | Kunal Patil | Soumya Sengar | Vishal Khatri | Sugam Jha | | Abstract | Full Text | Abstract :The global food system faces significant challenges, including food waste, resource depletion, and environmental degradation. To address these issues, we propose Eco Food, a sustainable food management system designed to reduce waste and maximize resources. Eco Food integrates cutting edge technologies, such as IoT sensors, AI powered analytics, and blockchain, to create a holistic platform for food management.Eco Foods primary objective is to minimize food waste throughout the supply chain, from production to consumption. The system achieves this by 1. Real time monitoring IoT sensors track food quality, quantity, and storage conditions, enabling prompt action to prevent spoilage.2. Predictive analytics AI powered algorithms analyze data from various sources to forecast demand, detect anomalies, and optimize logistics.3. Blockchain based tracking A transparent and tamper proof ledger records food origin, movement, and quality, ensuring accountability and trust. Saurabh Raut | Shwet Gadre | Kunal Patil | Soumya Sengar | Vishal Khatri | Sugam Jha "EcoFood: A Sustainable Food Management System for Reducing Waste and Maximizing Resources" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76338.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76338/ecofood-a-sustainable-food-management-system-for-reducing-waste-and-maximizing-resources/saurabh-raut
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| Development of Smart House Renting Web Application | | Author : Ashish Shahane | Rohan Dhengre | Tanushree Bochar | Shantanu Jodh | Swapnil Agase | Shalini Dhote | | Abstract | Full Text | Abstract :Finding suitable rental housing in urban areas can be challenging when done through traditional means. Similarly, property owners often face difficulties in securing tenants by simply displaying rental signs, which may result in financial losses. A digital platform can effectively address this issue by connecting tenants and landlords in a streamlined manner.This study focuses on developing a web based platform tailored for Bangladesh, enabling tenants to register with their phone numbers, verify their identity, explore available rental options, and communicate directly with landlords. Property owners can also create accounts, undergo a verification process, manage their listings, and review tenant details before renting out their properties.The platform has been tested for efficiency and ease of use, offering innovative features that set it apart from existing rental websites in Bangladesh. By simplifying the rental search process and expanding the availability of listings across various locations, the system provides a more reliable and accessible solution for both parties. Additionally, it promotes secure and transparent interactions between landlords and tenants.With its user friendly interface and advanced functionalities, this digital house rental solution aims to enhance the overall experience of renting properties, making the process more convenient and trustworthy for users across Bangladesh. Ashish Shahane | Rohan Dhengre | Tanushree Bochar | Shantanu Jodh | Swapnil Agase | Shalini Dhote "Development of Smart House Renting Web Application" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Emerging Trends and Innovations in Web-Based Applications and Technologies , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76337.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/76337/development-of-smart-house-renting-web-application/ashish-shahane
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| The Factor of Uzbekistan in Development of the Regional Transport System of Central Asia | | Author : Zokhidov Azamat Azamovich | | Abstract | Full Text | Abstract :The article considers about the factor of Uzbekistan in development of the regional transport system of central Asia. Here the reforms and initiatives in the field of transportation in Central Asia aimed to create a modern and efficient transport system, which will contribute to economic integration, increased competitiveness and prosperity of the country are analyzed. Zokhidov Azamat Azamovich "The Factor of Uzbekistan in Development of the Regional Transport System of Central Asia" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Exploring Multidisciplinary Research and Analysis of Advancements , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd72670.pdf Paper URL: https://www.ijtsrd.com/economics/other/72670/the-factor-of-uzbekistan-in-development-of-the-regional-transport-system-of-central-asia/zokhidov-azamat-azamovich
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| The Phenomenon of Conversion in the Phonetic Terminology of English, Russian and Uzbek Languages | | Author : Kamalova Dilovar Azathanova | | Abstract | Full Text | Abstract :The article deals with the conversion models in English, Russian and Uzbek languages. The subject of the study is the productivity of such a method of word formation as conversion, based on the English language, Russian and Uzbek languages. Given the complexity of interpreting the essence of conversion in linguistics, it seems necessary to consider and analyze the existing points of view of local and foreign linguists on this problem, to substantiate the point of view on conversion as a way of forming new words, and also to consider conversion models in relation to their universality and specificity based on the English language, Russian and Uzbek languages. Kamalova Dilovar Azathanova "The Phenomenon of Conversion in the Phonetic Terminology of English, Russian and Uzbek Languages" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Exploring Multidisciplinary Research and Analysis of Advancements , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd73765.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/literature/73765/the-phenomenon-of-conversion-in-the-phonetic-terminology-of-english-russian-and-uzbek-languages/kamalova-dilovar-azathanova
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| Translation and its Role in Society | | Author : Nabijonova Dilnavoz Nodirjonovna | Bakirova Khilolakhon Botiraliyevna | | Abstract | Full Text | Abstract :This article focuses on translation, its types, history, and contemporary relevance. It analyzes the challenges faced not only by students but also by professionals when translating specialized texts. The study highlights the importance of learning specific terminology alongside general vocabulary to achieve accurate translations in specialized fields. Nabijonova Dilnavoz Nodirjonovna | Bakirova Khilolakhon Botiraliyevna "Translation and its Role in Society" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Exploring Multidisciplinary Research and Analysis of Advancements , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd72671.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/72671/translation-and-its-role-in-society/nabijonova-dilnavoz-nodirjonovna
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| Innovative Technologies in Foreign Language Teaching | | Author : Ruzibaeva Dilbar Alimovna | | Abstract | Full Text | Abstract :The article considers about the innovative technologies in foreign language teaching. It analyzes the possibilities of using innovative technologies in teaching foreign languages. It provides didactic properties and functions of innovative educational technologies. It analyses the positive effects of introducing innovative technologies in teaching foreign languages. It identifies the main innovative technologies and teaching strategies that a teacher needs to combine to achieve maximum productivity of the educational process. Ruzibaeva Dilbar Alimovna "Innovative Technologies in Foreign Language Teaching" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Exploring Multidisciplinary Research and Analysis of Advancements , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd72672.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/other/72672/innovative-technologies-in-foreign-language-teaching/ruzibaeva-dilbar-alimovna
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| Peculiarities of Teaching ESP Terminology | | Author : Inamova Dilfuza Ergashevna | Bakirova Khilolakhon Botiraliyevna | | Abstract | Full Text | Abstract :The article discusses teaching foreign language terminology in a non linguistic university within the framework of a modern, competence based approach to teaching foreign languages. It analyzes the mastery of the lexical skills necessary for professional communication in a foreign language. In addition, the terminological competence of a specialist was investigated as the basis for the formation of professional foreign language communicative competence of future specialists and is one of the main tasks of teaching a foreign language in a non linguistic university. Inamova Dilfuza Ergashevna | Bakirova Khilolakhon Botiraliyevna "Peculiarities of Teaching ESP Terminology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Exploring Multidisciplinary Research and Analysis of Advancements , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd72673.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/72673/peculiarities-of-teaching-esp-terminology/inamova-dilfuza-ergashevna
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| Methodological Basis of Developing Critical Thinking of Future Teachers | | Author : Akhmedova Aziza Akmalovna | | Abstract | Full Text | Abstract :The article deals with the development of critical thinking in the professional training of future teachers in the context of the implementation of educational programs and the achievement of educational results relevant to modern society. It deals with the methods of research of the critical thinking of students who will become teachers in future. The scientific conception that evaluation and reflexivity characterize a teacher is critical thinking as analytical. Akhmedova Aziza Akmalovna "Methodological Basis of Developing Critical Thinking of Future Teachers" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Exploring Multidisciplinary Research and Analysis of Advancements , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd72696.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/72696/methodological-basis-of-developing-critical-thinking-of-future-teachers/akhmedova-aziza-akmalovna
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| Syntactic Variability as a Tool for Teaching Russian as a Foreign Language in Profession Oriented Education for Law Students | | Author : Rashid Matenov | | Abstract | Full Text | Abstract :This article examines syntactic variability as a means of enhancing the adaptability of linguistic resources for diverse tasks, including legal practice. It centers on teaching Russian as a foreign language in a polyethnic environment, with an emphasis on profession oriented education for law students. The study highlights the importance of syntactic variability in fostering cognitive, communicative, and professional competencies. It explores its role in deepening understanding of language structures, mastering legal terminology, and adapting to varied communicative contexts.The research employs corpus analysis, interactive technologies, and profession specific exercises to demonstrate the efficacy of syntactic variability in educational practices. Examples and exercises illustrate how integrating variable constructions develops linguistic literacy and instills confidence in law students, enabling them to handle legal texts effectively and adapt language to professional contexts. This approach, rooted in syntactic variability, generates rich instructional texts that support intercultural and professional communication. Rashid Matenov "Syntactic Variability as a Tool for Teaching Russian as a Foreign Language in Profession-Oriented Education for Law Students" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Exploring Multidisciplinary Research and Analysis of Advancements , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd73763.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/73763/syntactic-variability-as-a-tool-for-teaching-russian-as-a-foreign-language-in-professionoriented-education-for-law-students/rashid-matenov
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| Statistical Language Models for Customer Services | | Author : Khonkulova Nilufar Ravshanovna | | Abstract | Full Text | Abstract :The article deals with modern language models for customer services. There is history, development and main components of language models are considered as well. Khonkulova Nilufar Ravshanovna "Statistical Language Models for Customer Services" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Exploring Multidisciplinary Research and Analysis of Advancements , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd73764.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/73764/statistical-language-models-for-customer-services/khonkulova-nilufar-ravshanovna
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| Theoretical Aspects of Teaching English in Non Linguistic Faculties | | Author : Ibrokhimova Lobar Is’hakovna | | Abstract | Full Text | Abstract :This article analyzes the theoretical aspects of teaching English at non linguistic faculties of secondary vocational educational institutions. The historical aspects of the emergence of various approaches to teaching a foreign language to students are considered, the main directions are identified. And also the techniques and methods that will be used in teaching this group of students are selected. Ibrokhimova Lobar Is’hakovna "Theoretical Aspects of Teaching English in Non-Linguistic Faculties" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Exploring Multidisciplinary Research and Analysis of Advancements , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd73766.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/73766/theoretical-aspects-of-teaching-english-in-nonlinguistic-faculties/ibrokhimova-lobar-is’hakovna
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| Optimizing Retail Promotional Strategy through Causal Inference and Uplift Modeling at Scale | | Author : Jyoti Piyush Pandey | | Abstract | Full Text | Abstract :The retail industry spends billions annually on customer promotions, yet industry studies reveal that 60 80 of this expenditure fails to generate incremental revenue, primarily reaching customers who would have purchased without any incentive. Traditional response models and RFM segmentation help retailers find customers whore likely to buy. They do not tell us apart customers whose buying behavior can be influenced by offers and those who will buy from us no matter what. This is a problem, for retailers who make very little profit on each sale. They need to know who can be persuaded to buy with offers and who will buy from us anyway. This knowledge helps retailers to target their promotions The challenge is to identify Persuadable and Sure Things Retailers operating on margins face this challenge every day. Research on causal inference and uplift modeling is critical as promotional waste continues to erode profitability. Uplift modeling, a specialized subdomain of machine learning, estimates the causal effect of promotions at the individual customer level, answering the fundamental question Would this customer have purchased without the promotion Despite negative connotations associated with marketing waste, uplift modeling is increasingly being adopted in commercial contexts to optimize promotional spend. New technical advancements in causal machine learning have made it possible to identify persuadable customers with unprecedented accuracy. The rise of deepfake technologies has sparked concern, but the rise of uplift modeling offers hope for more efficient marketing. The primary goal of this project is to properly distinguish persuadable customers from sure things, lost causes, and do not disturb segments using deep learning techniques. In this study, we implemented a customized X Learner algorithm to identify persuadable customers from a large scale retail dataset of 2 million customers and conducted a comparative analysis with two other methods Two Model Approach and Class Transformation to determine which approach was superior. The Kaggle dataset was augmented with synthetic data to achieve the required scale. Convolutional neural networks are common in computer vision, but here we use XGBoost based uplift models to distinguish between customers who respond incrementally to promotions versus those who do not. A customized X Learner model, which includes several additional components such as cross fitting, propensity score weighting, and meta learner frameworks, has been developed and implemented. This method follows the data ingestion, feature engineering, model training, and evaluation phases in determining whether a customer is persuadable or not. Accuracy, loss, and the area under the receiver operating characteristic curve were used to characterize the data. The customized X Learner outperformed all other models, achieving 91.47 validation accuracy, a reduced loss value of 0.342, and an AUC of 0.92. Besides, we obtained 85.23 testing accuracy from the CNN and 95.52 training accuracy from the MLP CNN model. The business impact simulation demonstrated that uplift based targeting generates 59,000 in incremental revenue per 100,000 campaign spend, a 37 improvement over traditional methods, with annual impact of 30 million for large retailers. Jyoti Piyush Pandey "Optimizing Retail Promotional Strategy through Causal Inference and Uplift Modeling at Scale" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101410.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101410/optimizing-retail-promotional-strategy-through-causal-inference-and-uplift-modeling-at-scale/jyoti-piyush-pandey
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| The Impact of Inclusive Education on Society | | Author : Agzamxodjayeva Saodatxon Abrarovna | | Abstract | Full Text | Abstract :The article deals with the impact of inclusive education on society. It discusses about solving problems associated with disability as one of the priority tasks of social policy of modern states. Operating in almost all areas of life, public opinion simultaneously has its boundaries determined by the social significance of the processes, events, and phenomena under discussion. The formation of public opinion is greatly influenced by the existing socio political system, the economic situation, the media, the level of education, culture of the population, and a number of other factors. These factors are discussed in the article furthermore. Agzamxodjayeva Saodatxon Abrarovna "The Impact of Inclusive Education on Society" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Exploring Multidisciplinary Research and Analysis of Advancements , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd73790.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/73790/the-impact-of-inclusive-education-on-society/agzamxodjayeva-saodatxon-abrarovna
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| Modern Pedagogical Technologies as an Important Factor in Lesson Efficiency | | Author : Akhmedova Aziza Akmalovna | | Abstract | Full Text | Abstract :The article deals with the efficiency of the English lessons. It tells about modern educational technologies that are used in the educational process and which a teacher should master. To carry out the educational process as a result of joint activities aimed at discovering new knowledge. Concentrating efforts on improving the quality and effectiveness of educational and upbringing work, it is necessary to ensure that each lesson contributes to the development of students cognitive interests, activity and creativity, and, consequently, to improving the quality of education. Akhmedova Aziza Akmalovna "Modern Pedagogical Technologies as an Important Factor in Lesson Efficiency" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Exploring Multidisciplinary Research and Analysis of Advancements , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75102.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75102/modern-pedagogical-technologies-as-an-important-factor-in-lesson-efficiency/akhmedova-aziza-akmalovna
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| Main Methods of Studying Russian as a Foreign Language | | Author : Mirsagatova Umida Zakhidovna | Imamalieva Manzura Anvarovna | | Abstract | Full Text | Abstract :The article examines the main methods of studying Russian as a foreign language. It analyzes the development of oral and written speech of students, instilling the ability to work with text, enriching vocabulary, expanding horizons. Mirsagatova Umida Zakhidovna | Imamalieva Manzura Anvarovna "Main Methods of Studying Russian as a Foreign Language" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Exploring Multidisciplinary Research and Analysis of Advancements , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75103.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75103/main-methods-of-studying-russian-as-a-foreign-language/mirsagatova-umida-zakhidovna
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| Discourse and Discourse Analysis | | Author : Aziza Tursunmurodova | | Abstract | Full Text | Abstract :This article will explore the variation of definition to discourse and discourse analysis and will compare the features of it given by different scholars. The article will compare varieties and similarities of analysis that can be close to discourse analysis. Aziza Tursunmurodova "Discourse and Discourse Analysis" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Exploring Multidisciplinary Research and Analysis of Advancements , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75104.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75104/discourse-and-discourse-analysis/aziza-tursunmurodova
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| Study of the Aspects of False Friends of Translators | | Author : Ruziboyev Shohjahon Davron o’g’li | Bakirova Khilolakhon Botiraliyevna | | Abstract | Full Text | Abstract :This article refers to the meaning of the expression “False friends of translators” and the importance of this phenomenon in translation process. Moreover, the reader will be well informed about some opinions and theories expressed to this topic and the reasons why most of the translators are facing difficulties and should attend this concept carefully. Ruziboyev Shohjahon Davron o’g’li | Bakirova Khilolakhon Botiraliyevna "Study of the Aspects of False Friends of Translators" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Exploring Multidisciplinary Research and Analysis of Advancements , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd75105.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/75105/study-of-the-aspects-of-false-friends-of-translators/ruziboyev-shohjahon-davron-o’g’li
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| Synchronous and Asynchronous Learning Objectives in Higher Education System | | Author : Gulbakhor Abdukadyrova | | Abstract | Full Text | Abstract :This article deals with the perspectives of asynchronous and synchronous teaching, choosing appropriate methods and techniques of learning for students, designing learning objectives and course content, the way teachers deliver their training teaching, as well as students’ availability in online and offline mode of interaction. Gulbakhor Abdukadyrova "Synchronous and Asynchronous Learning Objectives in Higher Education System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Exploring Multidisciplinary Research and Analysis of Advancements , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd76184.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/76184/synchronous-and-asynchronous-learning-objectives-in-higher-education-system/gulbakhor-abdukadyrova
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| An SaaS Based Order Management System to Digitize Car Accessory Workshop Operations for Multiple Tenants | | Author : Piyush Pandagre | | Abstract | Full Text | Abstract :Small and medium sized auto accessory workshops frequently employ spreadsheet programs and manual record keeping methods, which causes operational inefficiencies, redundant data, and delays. This article describes the creation and implementation of Zoravo OMS, a cloud based, multi tenant Order Management System OMS intended to digitize vehicle job tracking, invoicing, and reporting. Next.js is used for the presentation layer of the Vercel deployed system, whereas Supabase and PostgreSQL are used for database and backend management. Additionally, it integrates the WhatsApp API to enable daily report dissemination and automated notifications. The system, which uses a multi tenant Software as a Service SaaS architecture, enables several companies to function independently and securely on shared infrastructure. The appropriateness of cloud SaaS solutions for small automotive firms was validated by a real world trial deployment in a Nagpur based workshop, which showed a significant 85 reduction in manual data input mistakes, a 70 drop in report generating time, and improved data accessibility. Piyush Pandagre "An SaaS-Based Order Management System to Digitize Car Accessory Workshop Operations for Multiple Tenants" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101405.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101405/an-saasbased-order-management-system-to-digitize-car-accessory-workshop-operations-for-multiple-tenants/piyush-pandagre
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| The Ways to Develop the Tourism Sector through Digitalization of Museum Funds | | Author : Erkayeva Barno Abdurahimovna | | Abstract | Full Text | Abstract :In the article current on the day digital from technologies use through museums activity develop aspects illuminated. In the field digital technologies of application practical importance open given. Erkayeva Barno Abdurahimovna "The Ways to Develop the Tourism Sector through Digitalization of Museum Funds" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Exploring Multidisciplinary Research and Analysis of Advancements , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78455.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78455/the-ways-to-develop-the-tourism-sector-through-digitalization-of-museum-funds/erkayeva-barno-abdurahimovna
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| The Ways to Develop the Tourism Sector through Digitalization of Museum Funds | | Author : Erkayeva Barno Abdurahimovna | | Abstract | Full Text | Abstract :In the article current on the day digital from technologies use through museums activity develop aspects illuminated. In the field digital technologies of application practical importance open given. Erkayeva Barno Abdurahimovna "The Ways to Develop the Tourism Sector through Digitalization of Museum Funds" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Exploring Multidisciplinary Research and Analysis of Advancements , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78455.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78455/the-ways-to-develop-the-tourism-sector-through-digitalization-of-museum-funds/erkayeva-barno-abdurahimovna
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| The Ways to Develop the Tourism Sector through Digitalization of Museum Funds | | Author : Erkayeva Barno Abdurahimovna | | Abstract | Full Text | Abstract :In the article current on the day digital from technologies use through museums activity develop aspects illuminated. In the field digital technologies of application practical importance open given. Erkayeva Barno Abdurahimovna "The Ways to Develop the Tourism Sector through Digitalization of Museum Funds" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Exploring Multidisciplinary Research and Analysis of Advancements , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78455.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/78455/the-ways-to-develop-the-tourism-sector-through-digitalization-of-museum-funds/erkayeva-barno-abdurahimovna
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| The Relationship Between Temperament Types and the Language Learning Process | | Author : Umaraliyeva Mohira Nosir qizi | | Abstract | Full Text | Abstract :The process of language learning is influenced by various cognitive and psychological factors, including temperament types. This article examines the impact of temperament on language acquisition, considering how different personality traits affect students’ engagement, retention, and application of a new language. The study highlights the importance of adapting teaching methodologies to accommodate individual temperament types, thereby enhancing language learning efficiency. Umaraliyeva Mohira Nosir qizi "The Relationship Between Temperament Types and the Language Learning Process" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Exploring Multidisciplinary Research and Analysis of Advancements , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78661.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/78661/the-relationship-between-temperament-types-and-the-language-learning-process/umaraliyeva-mohira-nosir-qizi
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| Educational and Practical Problems of Teaching English Language | | Author : Gaybullaeva Rano Ikhtiyarovna | Khalilova Gozal Abdupattakhovna | | Abstract | Full Text | Abstract :This article addresses many questions about language learning, such as Why do students have difficulty learning a foreign language What are the possible difficulties in learning a foreign language How to overcome difficulties associated with learning English Gaybullaeva Rano Ikhtiyarovna | Khalilova Gozal Abdupattakhovna "Educational and Practical Problems of Teaching English Language" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Exploring Multidisciplinary Research and Analysis of Advancements , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd78662.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/78662/educational-and-practical-problems-of-teaching-english-language/gaybullaeva-rano-ikhtiyarovna
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| E Governance and Transparency Evaluating the Effectiveness of Digital Government Initiatives in India | | Author : Yachika | | Abstract | Full Text | Abstract :E governance, the use of digital technologies to improve the delivery of government services and the relationship between citizens and government, is becoming a key focus of public administration in India. Yachika "E-Governance and Transparency: Evaluating the Effectiveness of Digital Government Initiatives in India" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Exploring Multidisciplinary Research and Analysis of Advancements , January 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79827.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/social-science/79827/egovernance-and-transparency-evaluating-the-effectiveness-of-digital-government-initiatives-in-india/yachika
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| Revealing and Classification of Face Mask Detection using Artificial Intelligence and Machine Learning | | Author : Avinash Sahebrao Maske | | Abstract | Full Text | Abstract :The rapid global spread of COVID 19, officially declared a pandemic by the World Health Organization WHO , emphasized the critical need for preventive public health measures such as wearing face masks in shared and crowded environments. Ensuring compliance through manual supervision is labor intensive, inconsistent, and impractical in large scale public settings. To address this challenge, this research proposes an automated Face Mask Detection system using Artificial Intelligence AI and Machine Learning ML techniques, specifically leveraging deep learning based computer vision models for real time monitoring. The proposed system integrates face detection and mask classification into a unified pipeline. For face localization, a deep learning based Single Shot Detector SSD framework is employed, while mask classification is performed using a transfer learning approach based on MobileNetV2, a lightweight Convolutional Neural Network CNN architecture optimized for real time applications. The dataset consists of labeled images categorized into three classes properly worn mask, improperly worn mask, and no mask. Extensive preprocessing techniques, including image resizing, normalization, and data augmentation, were applied to improve model generalization and robustness. The model was trained using the Adam optimizer with categorical cross entropy loss and evaluated using standard performance metrics such as accuracy, precision, recall, F1 score, and confusion matrix analysis. Experimental results demonstrate an overall accuracy of approximately 97–98 on the validation dataset, with real time detection capability achieving 18–22 frames per second FPS on standard hardware configurations. The system shows strong performance under varying lighting conditions and multiple face detection scenarios. The proposed solution offers a scalable, cost effective, and efficient automated monitoring system suitable for deployment in public spaces such as airports, hospitals, educational institutions, transportation hubs, and corporate offices. Furthermore, the system can be extended to integrate additional public safety features such as social distancing monitoring and crowd density estimation. This research contributes to the practical application of AI driven surveillance systems in public health management and demonstrates the effectiveness of transfer learning based CNN models in real time image classification tasks. Avinash Sahebrao Maske "Revealing and Classification of Face Mask Detection using Artificial Intelligence and Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101401.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101401/revealing-and-classification-of-face-mask-detection-using-artificial-intelligence-and-machine-learning/avinash-sahebrao-maske
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| MeetEase A Web Based AI Integrated Meeting Scheduling System with Smart Booking Page Generation and Intelligent Availability Management | | Author : Deep Thakare | | Abstract | Full Text | Abstract :Scheduling meetings is one of those tasks that looks straightforward until you are doing it every single day across multiple people, departments, and time zones. Back and forth emails to find a common slot, description fields left empty because nobody wants to write them, reminders going out at the same fixed time for everyone regardless of whether that timing has ever resulted in attendance individually small problems, but they stack up into a meaningful drain on time and attention. MeetEase is a web based scheduling platform designed to address these frictions without asking users to learn a complicated new tool. Hosts go through a seven step guided setup that ends with a shareable public booking page. Guests visit that page and pick a time. Four AI components work quietly behind this simple surface one drafts meeting descriptions from just a title and a duration, one reads historical booking patterns and flags availability slots that are likely to cause problems, one lets guests book in plain conversational language rather than navigating a date picker, and one learns per person when to send reminders based on actual attendance history rather than a fixed window. A four week deployment study at G.H. Raisoni Skill Tech University, Nagpur, involving sixty participants across three academic departments showed scheduling conflict rates falling from 18.4 percent to 2.3 percent, no show rates dropping by 42 percent, and hosts completing the setup process about 38 percent faster when all four modules were running simultaneously. This paper covers how MeetEase was built, the reasoning behind each design decision, how each AI component was implemented, and what the study results mean in context. Deep Thakare "MeetEase: A Web-Based AI-Integrated Meeting Scheduling System with Smart Booking Page Generation and Intelligent Availability Management" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101402.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101402/meetease-a-webbased-aiintegrated-meeting-scheduling-system-with-smart-booking-page-generation-and-intelligent-availability-management/deep-thakare
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| Design and Development of an Alexa Based Music Recommendation Bot Using Machine Learning | | Author : Akanksha Shirbhate | | Abstract | Full Text | Abstract :Voice controlled assistants have changed how we use systems. This research is about designing and building a music bot for Alexa that uses machine learning to make music suggestions and playback better with voice commands. The system combines Amazon Alexa with machine learning to understand what users like, process voice inputs and give music suggestions. The proposed model uses natural language processing to understand what users say and get the music commands. A machine learning module analyzes what users listen to, their behavior and other details to suggest songs they might like. The system connects to music streaming services in the cloud. Uses APIs to get and play music right away. The system has four parts a voice input interface a machine learning recommendation engine a cloud processing unit a music streaming integration module. The recommendation engine uses methods, like filtering and content based filtering to get better at suggesting music over time. Experimental results show that the system understands voice commands and gives music suggestions making users happier and more efficient. The Alexa based music bot works well with voice commands. Provides good music suggestions. The system makes music playback better with voice commands and machine learning. Akanksha Shirbhate "Design and Development of an Alexa-Based Music Recommendation Bot Using Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101403.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101403/design-and-development-of-an-alexabased-music-recommendation-bot-using-machine-learning/akanksha-shirbhate
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| Al Hiring Agent for Resume Analysis and Candidate Ranking | | Author : Om Narayanrao Mate | | Abstract | Full Text | Abstract :Recruitment is a critical yet resource intensive process in organizations across industries. Traditional resume screening relies on manual human review, which is time consuming and prone to subjective biases. This paper presents the Hiring Agent, an AI driven system that automates and objectifies the resume evaluation process by combining large language models LLMs , document processing, and external data augmentation. The system parses resume PDFs into machine readable formats, extracts structured data using local or cloud based LLMs, augments candidate information with GitHub profile signals, and produces objective evaluations with quantified scores across multiple dimensions. We demonstrate the systems architecture, implementation details, and discuss its effectiveness in reducing recruitment friction while maintaining evaluation quality. The proposed system supports both local deployment via Ollama and cloud based inference through Google Gemini, providing flexibility in deployment scenarios. Our evaluation shows that the Hiring Agent can effectively synthesize multiple data sources to produce comprehensive candidate assessments suitable for initial screening and comparative ranking. Om Narayanrao Mate "Al Hiring Agent for Resume Analysis & Candidate Ranking" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101404.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101404/al-hiring-agent-for-resume-analysis-and-candidate-ranking/om-narayanrao-mate
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| AI Error Decoder a Python Based Application for Understanding Programming Errors | | Author : Anjali Ghagare | | Abstract | Full Text | Abstract :Programming is an important part of computer science, but many beginners face difficulty in understanding error messages generated by compilers or interpreters. These messages are often technical and confusing, which makes debugging difficult for new learners. This project presents an application called AI Error Decoder, which helps users understand programming errors in a simple and clear way. Users can paste error messages into the system, and the application analyzes them to provide easy explanations along with possible solutions. The system is developed using Python, with PyQt5 for the graphical user interface and SQLite for storing error history. The main aim of this project is to make debugging easier for beginners and improve their learning experience by simplifying complex error messages. Anjali Ghagare "AI Error Decoder a Python Based Application for Understanding Programming Errors" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101406.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101406/ai-error-decoder-a-python-based-application-for-understanding-programming-errors/anjali-ghagare
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| ECanva An Automated Web Based Design Management System Using React, ASP.NET Core and SQL Server | | Author : Shruti. S. Meshram | | Abstract | Full Text | Abstract :In the contemporary digital era, organizations face significant challenges in managing documentation, branding, and visual communication. Educational institutions, enterprises, and service providers generate a large number of certificates, reports, and standardized layouts on a daily basis. Traditional manual design approaches are inefficient, time consuming, and highly dependent on skilled manpower. Most existing design tools focus mainly on creative design and require continuous manual involvement. They lack backend automation, structured data handling, and enterprise workflow support. As a result, organizations face challenges related to scalability, consistency, and operational efficiency. ECanva is a full stack web based platform that integrates an intuitive drag and drop design interface with a robust backend automation engine. The system allows users to visually design layouts while automating data processing, storage, and output generation. Built using React.js on the frontend, ASP.NET Core on the backend, and SQL Server as the data layer, ECanva converts every design action into structured JSON data processed through automated backend pipelines. The system implements secure JWT based authentication, role based access control RBAC , version control with immutable history, and asynchronous bulk processing. In this study, we implemented a modular automation pipeline to process design templates against organizational data and generate personalized outputs. The system was evaluated on parameters of output consistency, processing speed, scalability, and security. ECanva achieved 99.9 data binding accuracy, reduced manual production time by over 97 , and supports 50 concurrent users. Comparative analysis with existing tools shows that ECanva outperformed all evaluated platforms on automation capabilities. Shruti. S. Meshram "ECanva - An Automated Web-Based Design Management System Using React, ASP.NET Core and SQL Server" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101407.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101407/ecanva--an-automated-webbased-design-management-system-using-react-aspnet-core-and-sql-server/shruti-s-meshram
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| LearnX – Smart Learning Management System | | Author : Sharayu Ambagade | | Abstract | Full Text | Abstract :Institutions need effective tools to handle classes, assignments, and learning materials because digital education is expanding so quickly. Academic administration is challenging for both professors and students in traditional learning environments since they frequently rely on several platforms. LearnX, a This article presents the Smart Learning Management System, which was developed to provide a single platform for course access, study materials, and assignment submissions. A backend server that interacts with the frontend interface controls database operations and application logic in the proposed systems client server architecture. Relational databases, React.js, Node.js, and Express.js are among the technologies used in the systems development. Learning management systems are essential for improving accessibility and organization in digital learning settings 1 , 6 . Instructors may efficiently manage classes with the use of the LMS, and students can access learning resources and systematically track their progress. The installation demonstrates how a centralized learning management system LMS may improve the entire educational experience, reduce manual work, and increase accessibility. Sharayu Ambagade "LearnX – Smart Learning Management System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101408.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101408/learnx-–-smart-learning-management-system/sharayu-ambagade
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| Human Seek Missing Person Identification Using Deep Learning | | Author : Rupam Sharnagat | | Abstract | Full Text | Abstract :This research paper is about an automated system. It was made to help with problems in a specific area. for example it could be used for managing student records in healthcare or in library automation. The paper explains the problem the system solves, it also explains what the system aims to achieve, A comparison is made between the systems and the proposed one. The design of the system is discussed. The structure of the database is explained. each module of the system is described. The technologies used to build the system are mentioned. The details of how the system was implemented are provided. the results of the system are presented. The new system works better than systems. It is more efficient, accurate and easier to use. The next steps for the system are to make it bigger to integrate it with intelligence and to improve the user experience. The system is based on student record management. The system uses student record management to improve efficiency. student record management helps to make the system more accurate. The new system is good, for student record management. Rupam Sharnagat "Human Seek: Missing Person Identification Using Deep Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101419.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101419/human-seek-missing-person-identification-using-deep-learning/rupam-sharnagat
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| Spatio Temporal Analysis of Road Traffic Incidents Predictive Modeling for Accident Prevention | | Author : Prital Ramteke | | Abstract | Full Text | Abstract :Road traffic accidents are a worry for public safety. This is because many people are moving to cities there are more vehicles on the road and the traffic is very complicated. When we look at accidents we usually do it after they happen. We just look at basic numbers. This does not help us predict when accidents might happen again. This project is about using data to look at and predict road traffic accidents. We use tools to look at where and when accidents happen. We combine information about where accidents happen, like on which road with information about when they happen like the time of day or the day of the week. We also look at how accidents happen at times of the year. We collect information about accidents make sure it is correct and then use it to find important details. We use computer programs to predict when and where accidents are likely to happen. The system also shows us pictures, like charts and maps to help us understand what is going on with accidents. By looking at all the information predicting what might happen and showing it in a way thats easy understand this project helps us stop accidents before they happen. It also helps the people in charge of road safety make decisions based on the information they have, about road traffic accidents. Prital Ramteke "Spatio-Temporal Analysis of Road Traffic Incidents: Predictive Modeling for Accident Prevention" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101409.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101409/spatiotemporal-analysis-of-road-traffic-incidents-predictive-modeling-for-accident-prevention/prital-ramteke
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| Cost Optimized and Secure Infrastructure Automation on AWS Using Terraform | | Author : Ashish Khatri | | Abstract | Full Text | Abstract :Cloud computing is widely used today because it offers flexible and scalable infrastructure. Amazon Web Services AWS provides various services such as EC2, VPC, IAM, and Auto Scaling to develop cloud environments. However, manually setting up and managing infrastructure in AWS can be time consuming and may result in configuration errors, security vulnerabilities, and increased cloud costs. In this project, AWS infrastructure is automated using Terraform, an Infrastructure as Code IaC tool. Instead of creating resources manually through the AWS console, infrastructure is defined using code and deployed automatically. The main aim of this research is to reduce deployment time, enhance security, and optimize cloud costs. A modular Terraform structure is employed to create VPC, EC2 instances, security groups, and IAM roles. Cost optimization methods such as instance rightsizing and Auto Scaling are also implemented. The findings indicate that automated deployment is faster and more consistent than manual setup. It also helps to reduce unnecessary cloud expenses and enhance security configurations. This study demonstrates that integrating automation, cost optimization, and security practices results in a more efficient and reliable cloud infrastructure. The research centers around automating AWS infrastructure using Terraform, an Infrastructure as Code IaC tool. Rather than manually configuring resources, the entire infrastructure is described in code files and deployed automatically. In this project, a modular Terraform structure is used to provision VPC, public and private subnets, EC2 instances, security groups, IAM roles, and Auto Scaling configurations. The primary goal of this research is to build a secure and cost effective cloud environment. To achieve cost efficiency, instance rightsizing and Auto Scaling techniques are applied to avoid over provisioning of resources. For improved security, IAM least privilege policies, private subnet deployment, and restricted security group rules are implemented. The performance of manual and automated deployment is evaluated based on deployment time and configuration consistency. Infrastructure automation significantly reduces deployment time and minimizes human errors. It also improves security posture and supports better cloud cost management. This research shows that combining automation, cost optimization strategies, and security best practices can result in a more efficient, reliable, and scalable cloud infrastructure for organizations. Ashish Khatri "Cost-Optimized and Secure Infrastructure Automation on AWS Using Terraform" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101411.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101411/costoptimized-and-secure-infrastructure-automation-on-aws-using-terraform/ashish-khatri
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| A Personalized Book Recommendation Framework Using Machine Learning and Collaborative Filtering | | Author : Atharva Agnihotri | | Abstract | Full Text | Abstract :The way people find and read books has changed a lot because of all the content on the internet. There are many books in online stores, digital libraries, and educational websites. This has made it hard for people to find books that they really want to read. They have to look through many books that is hard to know what is good. People usually look for books by searching or considering what type of book it is. They also look at whats popular with everyone else. This does not really help them find books that they will like. To make it easier for people to find books, this research focuses on a new way to recommend books. This new way uses collaborative filtering to suggest books that people will really like. This recommendation system is designed to help people find books that are just right for them. The proposed system utilizes historical user–book interaction data, including user ratings and implicit behavioral patterns, to model user preferences and identify similarity relationships within the dataset. A structured user–item interaction matrix is constructed to represent the relationships between users and books. Both user based and item based collaborative filtering approaches are implemented to capture similarity patterns. Cosine similarity is employed as the primary similarity metric to measure the closeness between user preference vectors and item feature vectors, enabling the system to identify similar users or similar books effectively. Based on computed similarity scores, the system generates Top N personalized recommendations tailored to individual user profiles. Atharva Agnihotri "A Personalized Book Recommendation Framework Using Machine Learning and Collaborative Filtering" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101412.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101412/a-personalized-book-recommendation-framework-using-machine-learning-and-collaborative-filtering/atharva-agnihotri
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| Present Ease Solutions An AI Driven Automated Presentation Content Generation System Using Natural Language Processing and Structured Prompt Engineering | | Author : Bhumi Sharma | | Abstract | Full Text | Abstract :The creation of structured and professional presentations remains a time intensive task across corporate, academic, and business environments. Professionals frequently invest significant effort in organizing slide sequences, summarizing information, and ensuring logical flow and formatting consistency. This manual approach reduces productivity and introduces variability in presentation quality. This research proposes PresentEase Solutions, an Artificial Intelligence based automated presentation content generation system that utilizes Natural Language Processing NLP and structured prompt engineering to generate slide outlines, slide wise content, and executive summaries from user defined topics. The system is implemented using Python and Django for backend processing, along with HTML, CSS, and JavaScript for the user interface. The proposed system automates presentation structuring while preserving logical coherence and professional formatting standards. Experimental analysis indicates significant time reduction, improved content consistency, and enhanced productivity compared to traditional manual presentation preparation methods. The system demonstrates the practical application of AI in business productivity automation. Bhumi Sharma "Present-Ease Solutions: An AI-Driven Automated Presentation Content Generation System Using Natural Language Processing and Structured Prompt Engineering" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101413.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101413/presentease-solutions-an-aidriven-automated-presentation-content-generation-system-using-natural-language-processing-and-structured-prompt-engineering/bhumi-sharma
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| A Secure and Efficient Medical Card Generation System for Healthcare Management | | Author : Gaurav Wadibhasme | | Abstract | Full Text | Abstract :Healthcare institutions in India still rely heavily on manual, paper based records for managing basic patient details such as identity information, blood group, and medical consultations, which leads to delayed retrieval of data, frequent loss or damage of records, and inconsistencies across registers. To address these practical issues at an institutional scale, this project implements a web based Medical Card Generation System that digitally stores and manages medical card records for patients. The system is developed using HTML, CSS, JavaScript, PHP, and MySQL deployed on an Apache web server, and provides role based interfaces for administrators and users. Administrators can create, update, search, and report on medical cards through a dashboard, while users can view and print their medical cards using a unique reference number. The paper presents the motivation and problem statement, reviews related web based hospital and medical record management systems, and then explains the proposed system architecture, core modules, and database design in detail. The implementation section describes the development environment, key forms such as the Add Medical Card screen, and the procedures followed for testing the application. Results show that the developed prototype successfully replaces manual registers with a centralized database, supports fast retrieval of records, and provides basic reporting capabilities suitable for small and medium healthcare institutions. Finally, the paper discusses limitations and outlines future enhancements such as SMS email notifications, analytics dashboards, and cloud deployment. Gaurav Wadibhasme "A Secure and Efficient Medical Card Generation System for Healthcare Management" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101414.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101414/a-secure-and-efficient-medical-card-generation-system-for-healthcare-management/gaurav-wadibhasme
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| A Web Based Financial Valuation Platform for Small Businesses Using Automated DCF and Market Multiple Models | | Author : Ketki. S. Upase | | Abstract | Full Text | Abstract :The Firm Valuation Website is a website that helps people figure out how much a business is worth. This is a problem for small business owners and people who are just starting out. They do not have a lot of money to pay for experts to do this for them. The Firm Valuation Website is easy to use. Does not cost a lot of money. The Firm Valuation Website uses methods like Discounted Cash Flow and Market Multiple Method to calculate the value of a business. The website is made with technology to make sure it is safe and easy to use. People can put in their information and the website will calculate the value of their business. This website is good for entrepreneurs and investors because it helps them make decisions about money. The Firm Valuation Website is a tool for The Firm Valuation Website users. The project shows how the internet can make it easier for people to understand money and make decisions. The Firm Valuation Website is a part of this project. The Firm Valuation Website Project focuses on designing and developing an user friendly corporate website for a government registered valuation firm. The objective of The Firm Valuation Website Project is to represent the firm’s valuation services, areas of expertise and credibility in a clear and structured manner. Ketki. S. Upase "A Web-Based Financial Valuation Platform for Small Businesses Using Automated DCF and Market Multiple Models" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101415.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101415/a-webbased-financial-valuation-platform-for-small-businesses-using-automated-dcf-and-market-multiple-models/ketki-s-upase
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| GMB Forensic Auditor using n8n Automations | | Author : Nayan Hore | | Abstract | Full Text | Abstract :In today’s digital economy, a business’s online presence on Google Maps is more important than its physical location. Many small and medium businesses struggle to appear in Google’s “Local Pack.” This thesis presents WhatMyRank, an automated tool that audits Google Business Profiles and generates leads by simplifying SEO for local businesses. WhatMyRank uses a modern Next.js frontend and n8n automation to perform fast, accurate audits of local SEO factors like Proximity, Relevance, and Prominence. It offers features such as automated checks for business information consistency, category optimization, and a visual health score. The tool helps digital marketing agencies turn SEO audits into active lead generation by providing instant, actionable reports. The implementation results, tested through real world scenarios including local service providers and clinics , demonstrate that businesses following the tool’s automated recommendations saw a measurable increase in “Direction Requests” and “Click to Call” metrics. This project concludes that automation in local SEO not only levels the playing field for small businesses but also creates a scalable high conversion funnel for the agencies supporting them. Nayan Hore "GMB Forensic Auditor using n8n Automations" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101416.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101416/gmb-forensic-auditor-using-n8n-automations/nayan-hore
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| Bridging the Data Literacy Gap A Multilingual AI Powered Dashboard for MGNREGA Transparency | | Author : Ankita Rajendra Wankhede | | Abstract | Full Text | Abstract :The Mahatma Gandhi National Rural Employment Guarantee Act MGNREGA is one of the largest rights based social welfare programs in the world, aimed at enhancing livelihood security in rural India. Enacted in 2005, the Act guarantees at least 100 days of wage employment per financial year to rural households willing to undertake unskilled manual work. Over the years, the scheme has generated massive volumes of data related to job card holders, employment demand, work allocation, fund disbursement, wage payments, and project completion status. In the spirit of transparency and open governance, the Government of India provides public access to this information through official web portals and open APIs. However, despite the availability of such extensive datasets, a critical challenge persists accessibility does not necessarily imply usability. The majority of MGNREGA data is presented in raw tabular formats, complex reports, and multi layered navigation systems that require technical familiarity and digital literacy. Rural beneficiaries, who are the primary stakeholders of the scheme, often face difficulties in locating, interpreting, and verifying relevant information. As a result, there exists a significant gap between data disclosure and meaningful transparency. The presence of open data alone does not guarantee citizen empowerment unless the information is presented in a clear, understandable, and actionable format. This research identifies the core problem as a usability and comprehension gap in existing MGNREGA data portals. While government platforms prioritize comprehensive data publication, they often overlook user experience design tailored to non technical citizens. Many users struggle with interpreting employment statistics, tracking wage payment status, or understanding district level fund allocation patterns. Furthermore, the absence of intuitive data visualization tools limits the ability of citizens to analyze trends or compare performance across regions. This lack of accessible presentation restricts informed participation and reduces the practical impact of open governance initiatives. To address this challenge, the present study proposes the design and development of a citizen centric web application that transforms raw MGNREGA datasets into simplified, interactive, and visually interpretable information. The primary objective of the proposed system is to bridge the gap between open government data and citizen usability by enhancing clarity, accessibility, and engagement. The system is built using modern web technologies and follows a modular architecture to ensure scalability, maintainability, and responsiveness across devices. The proposed architecture consists of four primary layers data acquisition, data processing, visualization, and user interface. In the data acquisition layer, official government APIs and publicly available datasets are integrated into the system. The data processing layer performs cleaning, structuring, and filtering of raw information to remove redundancy and improve consistency. This step is crucial for ensuring that the visual outputs are accurate and meaningful. The visualization layer converts processed data into graphical formats such as bar charts, line graphs, summary dashboards, and comparative analytics. Finally, the user interface layer presents the information in a simple, navigable, and mobile friendly layout designed specifically for non technical users. A key feature of the proposed system is its emphasis on simplicity and contextual understanding. Instead of displaying large tables with multiple numeric columns, the application summarizes key indicators such as total employment generated, average wages paid, fund utilization percentage, and number of completed projects. Users can filter data by state, district, or financial year, enabling localized analysis. This interactive filtering mechanism empowers beneficiaries to verify their records and understand scheme performance in their region. The research methodology involved requirement analysis, system design, prototype development, and usability evaluation. During requirement analysis, common user difficulties with existing portals were identified. The prototype was then developed using web based technologies that support responsive design and dynamic content rendering. Usability testing was conducted to evaluate how effectively users could interpret information using the new interface compared to traditional government portals. Feedback indicated that participants were able to locate and understand key information more quickly when presented in visual formats rather than raw tabular data. Ankita Rajendra Wankhede "Bridging the Data Literacy Gap: A Multilingual AI-Powered Dashboard for MGNREGA Transparency" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101428.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101428/bridging-the-data-literacy-gap-a-multilingual-aipowered-dashboard-for-mgnrega-transparency/ankita-rajendra-wankhede
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| Real Time Object Detection Using Deep Learning Techniques | | Author : Raman Chauhan | | Abstract | Full Text | Abstract :Object detection serves as a foundational pillar in computer vision, enabling the automated location and classification of semantic objects—such as humans, buildings, and vehicles—within digital images and video streams. This research focuses on developing a robust system that leverages machine learning to improve safety and efficiency in domains like autonomous driving, industrial automation, and video surveillance. The proposed methodology utilizes a deep learning pipeline centered on the Faster R CNN architecture with an Inception ResNet V2 backbone, optimized for high precision spatial localization and feature extraction. The system is implemented using a scalable software stack comprising TensorFlow, TensorFlow Hub, and OpenCV, supported by high performance hardware including multi core CPUs and NVIDIA GPUs for accelerated numerical computation. The experimental workflow involves automated image resizing via the LANCZOS interpolation method, dual stage region proposal inference, and a custom post processing module for real time bounding box visualization. Results indicate that the system successfully demonstrates the ability to identify and locate multiple objects in real time with high accuracy, reducing the need for manual observation. By achieving high precision and minimizing false positives, this research provides a reliable foundation for various real world applications, including autonomous vehicles, traffic monitoring, and industrial automation. Raman Chauhan "Real-Time Object Detection Using Deep Learning Techniques" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101417.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101417/realtime-object-detection-using-deep-learning-techniques/raman-chauhan
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| AI Based Predictive Modeling for Stock Market Dynamics Using Hybrid Deep Learning Approaches | | Author : Ritik Sakarde | | Abstract | Full Text | Abstract :Forecasting stock market behavior is a complex and dynamic task, primarily due to the volatile, nonlinear, and multifactorial characteristics of financial data. This paper provides a comprehensive synthesis of recent research on artificial intelligence based predictive modeling techniques for stock market analysis. By reviewing studies conducted between 2012 and 2024, the paper evaluates a broad spectrum of approaches, including traditional statistical models, machine learning algorithms, deep learning architectures, and emerging generative AI techniques. The review identifies a notable transition from conventional methods, including ARIMA, SARIMA, and exponential smoothing, to advanced models such as Artificial Neural Networks ANNs , Long Short Term Memory LSTM , Gated Recurrent Units GRU , Transformers, and hybrid architectures like the Temporal Fusion Transformer with Graph Neural Networks TFT GNN . These advanced models exhibit enhanced capabilities in capturing complex temporal patterns, nonlinear relationships, and interdependencies within financial data. In multiple studies, deep learning models surpass traditional approaches according to evaluation metrics such as Mean Absolute Error MAE and Root Mean Square Error RMSE . The study also emphasizes the importance of integrating diverse data sources, including technical indicators, fundamental financial metrics, macroeconomic variables, and market sentiment derived from news and external signals. Hybrid and ensemble models that combine multiple techniques consistently show improved predictive performance. Additionally, newer approaches such as generative AI models GANs, VAEs, and Transformer based systems reveal promising capabilities in modeling hidden structures and enhancing forecasting accuracy. Despite these advancements, challenges such as overfitting, data noise, computational complexity, and the need for large datasets persist. The findings suggest that while no single model guarantees consistent accuracy across all market conditions, AI driven approaches significantly enhance the ability to forecast trends and support investment decision making. Overall, this paper underscores the transformative role of artificial intelligence in financial forecasting and highlights future directions focused on hybrid modeling, relational learning, and big data integration to further improve prediction reliability in rapidly evolving market environments. Ritik Sakarde "AI-Based Predictive Modeling for Stock Market Dynamics Using Hybrid Deep Learning Approaches" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101418.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101418/aibased-predictive-modeling-for-stock-market-dynamics-using-hybrid-deep-learning-approaches/ritik-sakarde
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| Smart Voice Based Attendance Management System for Educational Institutions | | Author : Sahil Ahmad Siddiqui | | Abstract | Full Text | Abstract :This is the most important task which needs to be performed within any academic institution, where it manages the attendance of the students. But in the olden days way of managing the students attendance have not only become painstaking but it also has significant loopholes to manipulate the system. The objective of this paper is to eliminate the pitfalls which have long been a part of the conventional means of dealing with students attendance management, by implementing an innovative solution employ the use of voice recognition technology to automate student attendance management system. With the output of voice input technology and speech recognition technology, Verified students use a voice based attendance management system to record their presence in online mode. Technologies used in Voice based attendance management system Java, JavaFX, Python, VOSK and SQLite Technology which makes our Application way more systematic in the backbone of education i.e. Offline and Online classes. The voice based attendance management system provides efficient student attendance management and reduces the chances of proxy attendance. Sahil Ahmad Siddiqui "Smart Voice-Based Attendance Management System for Educational Institutions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101420.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101420/smart-voicebased-attendance-management-system-for-educational-institutions/sahil-ahmad-siddiqui
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| EV Market Analysis Using Python and SQL | | Author : Kajal Darbe | | Abstract | Full Text | Abstract :I design a structural model of demand for electric vehicles and the supply of a pub lic charging infrastructure by forward looking local planners. Using Canadian data, I study the cost effectiveness of electric vehicle incentives in this context. Subsidizing electric vehicle purchases almost doubled adoption in Quebec but had only a small impact on network provision. I conduct a rigorous cost benefit analysis to study the environmental performance of Quebec’s rebate program. I find that the marginal abate ment cost of emissions is substantially higher than the social cost of carbon, suggesting that policymakers in Quebec over invested on electric vehicle incentives. Kajal Darbe "EV Market Analysis Using Python and SQL" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101434.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101434/ev-market-analysis-using-python-and-sql/kajal-darbe
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| Real Time Traffic Sign Recognition Using Convolutional Neural Networks | | Author : Samaksh Mangesh Shahane | | Abstract | Full Text | Abstract :However, with the further advancement and development of Intelligent Transportation Systems ITS technology, there is a greater requirement for developing effective and reliable techniques for the improvement of road safety and the assistance of drivers. A significant aspect in this direction is the development of Traffic Sign Recognition TSR technology, where a system is required for the identification of different signs on the road, such as warning signs, information signs, and regulation signs. This research is based on the development of a computer vision system, which is required for the elimination of errors arising from driver fatigue, a major cause of traffic accidents. The system is based on the improvement and refinement of Convolutional Neural Networks CNNs in such a manner that it is capable of balancing high accuracy with the requirement for information processing in a rapid manner. A high degree of training is provided to the system, enabling it to perform well in different locations. Ultimately, a computerized TSR system is required for the further advancement and development of self driving cars, creating a well ordered traffic environment. Samaksh Mangesh Shahane "Real-Time Traffic Sign Recognition Using Convolutional Neural Networks" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101421.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101421/realtime-traffic-sign-recognition-using-convolutional-neural-networks/samaksh-mangesh-shahane
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| History of the Development of Arabic Dictionary | | Author : Ermatov Usmonjon Komilovich | | Abstract | Full Text | Abstract :This article provides information about the origin of lexical research in Arabic linguistics and the first authors of this direction, as well as about the scientific norms left by them. The author briefly outlined the reasons for the formation and development of Arabic linguistics, as well as the work of scientists who worked in this field. In particular, the books written by Abu Hilal al Askari in the framework of lexical studies are scientifically studied. Ermatov Usmonjon Komilovich "History of the Development of Arabic Dictionary" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovative Strategies in Multidisciplinary Research and Analysis , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63475.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/63475/history-of-the-development-of-arabic-dictionary/ermatov-usmonjon-komilovich
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| AI Based Real Time Pharmacovigilance System for Adverse Drug Reaction Detection and Drug Safety Monitoring | | Author : Sanskruti Mahesh Shrirame | | Abstract | Full Text | Abstract :This paper looks at how digital tools and artificial intelligence are changing the way we watch drug side effects, making it better and more accurate. The research explores how using AI to automate drug safety checks can shift the approach from dealing with problems after they happen to spotting them before they become serious. This helps fix the problems with the old, manual ways of doing things. In the past, pharmacovigilance relied mostly on people manually collecting information and waiting for reports, which led to incomplete data, mistakes, and difficulty keeping up with large volumes of information. Now, with more data coming from places like electronic health records, social media, and medical research, there’s a big need for better ways to track drug safety in real time and accurately assess risks. The study uses various machine learning models, including Gradient Boosting Machines, Random Forests, and Deep Learning, along with Natural Language Processing, to analyze both organized and unorganized data. It also uses Explainable AI and Knowledge Graphs to help explain the results of safety alerts more clearly. The results show that AI can greatly improve the ability to find drug side effects. For example, Gradient Boosting Models have achieved AUC values up to 0.95, which is much better than traditional statistical methods. Natural Language Processing has also shown high accuracy in analyzing patient stories from social media, with F measures between 0.72 and 0.82. AI tools have also been found to reduce case processing time by up to 50 , helping regulatory bodies and drug companies use their resources more efficiently. The conclusion is that using AI in pharmacovigilance is a major step toward more automated and accurate monitoring of drug safety. Even though there are still some challenges like varied data and possible bias in algorithms, using standard AI techniques is important for better patient care and building trust in both modern and traditional medicine. Sanskruti Mahesh Shrirame "AI-Based Real-Time Pharmacovigilance System for Adverse Drug Reaction Detection and Drug Safety Monitoring" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101422.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101422/aibased-realtime-pharmacovigilance-system-for-adverse-drug-reaction-detection-and-drug-safety-monitoring/sanskruti-mahesh-shrirame
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| AI Based Intelligent Camera System for Real Time Monitoring and Analysis | | Author : Sapna Manoranjan Sethi | | Abstract | Full Text | Abstract :Artificial Intelligence has become an important technology in many modern systems. One of the areas where Artificial Intelligence is widely used today is in camera surveillance systems. Traditional camera systems are mainly used for recording videos. They cannot understand or analyze the events happening in the video. Because of this limitation human operators are required to monitor the footage This process can be time consuming and sometimes inefficient because humans may become tired, distracted or miss events. To solve these challenges Artificial Intelligence based intelligent camera systems are being developed for real time monitoring and analysis. An Artificial Intelligence based camera system combines technologies such as machine learning and computer vision to analyze video data automatically. Of simply recording footage the Artificial Intelligence based camera system can observe, interpret and understand what is happening in the environment. These Artificial Intelligence based camera systems are capable of detecting objects identifying people recognizing faces and monitoring activities without human supervision. Because of these capabilities Artificial Intelligence based camera systems are becoming increasingly useful in areas such as security surveillance, traffic monitoring, smart cities, public safety and industrial automation. The main goal of an Artificial Intelligence based camera system is to provide faster and more accurate monitoring. In surveillance systems large amounts of video data are recorded every day and it is difficult for security staff to review all of it Important events may remain unnoticed until later. Artificial Intelligence based systems help solve this problem by analyzing the video stream and identifying significant events in real time. When the Artificial Intelligence based camera system detects activity it can immediately send alerts or notifications to the concerned authorities. This quick response can help prevent security threats and improve safety In this project the Artificial Intelligence based intelligent camera system works by capturing video from a camera device. The video stream is then divided into frames so that each frame can be processed individually. After that machine learning and computer vision techniques are applied to analyze the information. These techniques allow the Artificial Intelligence based camera system to recognize objects detect faces and identify activities within the video. The analyzed data is then stored in a database for reference. In addition the Artificial Intelligence based camera system can generate alerts when suspicious or predefined activities are detected. Sapna Manoranjan Sethi "AI-Based Intelligent Camera System for Real-Time Monitoring and Analysis" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101423.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101423/aibased-intelligent-camera-system-for-realtime-monitoring-and-analysis/sapna-manoranjan-sethi
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| VAPT Arsenal Centralized Tool and Payload Management System | | Author : Sejal Vivek Suruse | | Abstract | Full Text | Abstract :Anyone who has spent real time doing penetration testing understands a very specific kind of frustration the moment mid engagement when you know you have a particular payload or remediation note saved somewhere, but cannot locate it fast enough to matter. That experience of having the right knowledge scattered across too many places at once is nearly universal among working VAPT professionals, and it costs more than most people acknowledge. VAPT Arsenal was designed to address this directly. Penetration testing demands speed and precision at the same time. Security professionals carry a broad collection of custom payloads, specialized tools, personal notes, vulnerability write ups, and technique references built up over years of practical work. Managing all of that effectively has always been difficult. Resources end up spread across different machines, plain text files buried in folders named misc or backup old, browser bookmarks that number in the hundreds, cloud notes that may or may not be synced, and GitHub gists created during one engagement and never organized after. When a new project starts, when a device gets replaced, or when something needs to be found during a tight time window, the search begins and it eats time that should go toward actual testing. This research introduces VAPT Arsenal, a platform built specifically to solve this problem. It brings together tool storage organized by testing phase, a searchable payload library covering XSS, SQL injection, LFI, RFI, RCE, command injection, and related attack categories, a structured documentation section for vulnerability findings and remediation guidance, proper user authentication to protect sensitive materials, and a dashboard designed for fast navigation during live engagements. Everything lives in one place, indexed and retrievable in seconds rather than minutes. The argument this paper makes is that resource management is not a secondary concern in penetration testing. It is a direct contributor to assessment quality. When testers spend mental energy recalling where things are stored, or burn engagement time searching rather than analyzing, the output suffers. A centralized, well organized workspace removes that friction. VAPT Arsenal is one practical approach to building that workspace grounded in how testers actually work, not in how an idealized workflow might look on paper. Sejal Vivek Suruse "VAPT Arsenal - Centralized Tool & Payload Management System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101424.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101424/vapt-arsenal--centralized-tool-and-payload-management-system/sejal-vivek-suruse
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| Smart AI Chatbot Application | | Author : Shreyas Raut | | Abstract | Full Text | Abstract :The development of Large Language Models LLMs has reached a stage that completely changes how people interact with computers. Users could only use basic text prompts to interact with systems which had fixed rules that limited their ability to understand natural language. Current technology enables users to engage in interactive dialogues which combine multiple modes of communication. The study results from recent comprehensive surveys on LLM based AI chatbots show that modern systems must handle different data types because they need to extract and combine information from multiple sources which includes advanced visual materials. The development of Vision Language Models VLMs enables chatbots to process user provided images together with spoken language requests which leads to more natural and situationally aware interactions with users. The new algorithms have achieved outstanding progress yet traditional chatbot systems still create major problems for both development and operation. AI web applications of today depend on powerful backend servers which handle data movement between user interfaces and language models that operate in the background. The system requires server to server communication which results in network delays and increases expenses for cloud storage while making it difficult to manage the system installation process. The system experiences major slowdowns because server data control and database system management create problems which prevent current users from receiving needed prompt service. This paper introduces a solution to these infrastructural problems through the creation and deployment of a Smart AI Chatbot system. The system functions as a fast web application which uses a zero backend system to power its operations. The system achieves its functionality by establishing connections through direct web links to the systems components and web based interfaces instead of using dedicated backend systems and conventional backend infrastructure. Shreyas Raut "Smart AI Chatbot Application" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101425.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101425/smart-ai-chatbot-application/shreyas-raut
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| Invoo An AI Powered Invoice Generator that Actually Gets Freelancers and Startups | | Author : Aary Deshpande | | Abstract | Full Text | Abstract :Truth is, most freelancers hate admin work. Still, hours vanish into making invoices, rechecking numbers, figuring out layouts. Enter Invoo a tool made for those tired of wrestling with billing tasks. Built on MongoDB, Express, React, and Node.js, it slips smart automation into the background. Share details like client name, service done, amount due it takes care of what follows. Taxes update themselves. Layouts stay sharp without effort. Payments show up tracked the moment they move. Forty five freelancers plus startup founders took part in a month long test. Two minutes became the average time to make an invoice, down from twenty. Ninety four percent saw themselves sticking with the tool moving forward. Confidence around billing jumped sharply thanks to smart tax handling. A rating of 4 stars emerged directly from user scores. Reactions poured in with consistent enthusiasm. Simplicity defined the invoicing experience. Intelligence shaped every freelancer aid built into the platform. Startup money tasks found smoother paths. Code ran on a full MERN foundation. Taxes updated without manual input. Payments showed up clearly across timelines. Small business finance needs met precise digital support. The idea is simple you tell us what you did, for whom, and how much to charge—and we handle the rest. Tax calculations Automated. Professional formatting Done. Payment tracking Got it. We tested this with 45 freelancers and startup founders over 30 days, and the results were pretty eye opening. People were creating invoices in about 2 minutes instead of 20, and 94 of them said theyd keep using it. The AI tax feature alone made people feel way more confident about their billing. Users rated the system 4.5 out of 5, and honestly, the feedback we got was incredibly positive. Aary Deshpande "Invoo: An AI-Powered Invoice Generator that Actually Gets Freelancers and Startups" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101426.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101426/invoo-an-aipowered-invoice-generator-that-actually-gets-freelancers-and-startups/aary-deshpande
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| An AI Based Automated YouTube Video Publishing and Analytics System | | Author : Abdul Amaan Shah | | Abstract | Full Text | Abstract :Digital media has allowed many people to create content by publishing their own videos online. However, the largest video sharing service that has developed over time is YouTube which is also the largest publisher—by number of daily video uploads. In order to be able to post videos to YouTube, there are a number of procedures associated with video publishing such as creating a title, writing a description, tagging with appropriate hashtags, creating a thumbnail image and publishing the videos at designated times. The objective of this study is to develop an artificial intelligence based AI Based automated system called VidMind that helps simplify the overall process involved with video publishing on YouTube. When using the VidMind system, Content Creators will be able to publish videos to YouTube and have the system use AI to analyse the content of those videos for any video analytics purposes. In addition, the information produced by VidMind will be shared with creators upon completion of all required steps to publish a video to YouTube so that the creator receives an email notification when an uploaded video has been posted. The proposed system performs a sentiment analysis on user engagement data comments and reactions to analyze how an audience perceives the video currently being viewed, as well as to provide overall performance analysis of each individual video therefore, one of the systems proposals goals is to automate as well as to decrease the amount of manual labor needed by content creators to create and or publish their video s and as a result increase the productivity level of content creators and provide improved content management practices. In addition to providing automation of workflows, the system creates more accurate metadata or data describing the content of the video , and ensures metadata accurately reflects what the actual context of the video is thus increasing the overall accuracy of metadata that is produced. The proposed system contains capabilities for enhancing a creators focus on creating content of high quality, while reducing the time they spend addressing technical issues that arise from publishing a video. The VidMind System provides the means for monitoring the video performance using engagement analytics to enable content creators to determine the level of audience engagement with their content ultimately demonstrating how AI and automation can greatly enhance the performance, scalability, and content management practices of todays video creator. Abdul Amaan Shah "An AI-Based Automated YouTube Video Publishing and Analytics System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101427.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101427/an-aibased-automated-youtube-video-publishing-and-analytics-system/abdul-amaan-shah
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| Proksy A Digital Healthcare Connectivity Platform | | Author : Bakhtawar Raghib Ansari | | Abstract | Full Text | Abstract :The healthcare industry is using the internet to make medical services better and easier to get because digital technology is moving fast. However a lot of patients still have a time finding doctors who are licensed and getting medical help quickly especially people who live in areas that are far away and do not have a lot of things. When people do not have information and cannot get to doctors they can trust they often get sick and have to wait a long time to get help. Proksy. A Digital Healthcare Connectivity Platform is a website that helps patients and doctors connect. It is like a room where patients can go to find doctors look at their information and talk to them. Patients can use this website to find doctors whore good at what they do and they can even talk to them from far away. The website also helps patients get help from good doctors and hospitals. This website is made to be easy to use and safe. It uses ideas and technology to make sure it is easy for people to use and get to. The people who made it want to help patients get care by making it easy for them to talk to their doctors. The website is like a bridge that helps patients and doctors connect. It makes it easy for people to get medical help. The internet helps people talk to doctors from away and this website makes it easy for people to get medical help. It helps people who live away, from cities and hospitals and it makes it easy for them to get good medical care. The people who made this website want to make sure that patients can get medical care and they want to make it easy for people to talk to their doctors. Proksy. A Digital Healthcare Connectivity Platform is a way for patients to get medical help and it makes it easy for people to get the care they need. Proksy is a deal for people who live far away from hospitals and doctors. It helps people get care when they need it. Proksy is a website that lets patients find and talk to doctors. This website is easy to use. It helps people get the medical care they need. Proksy uses technology to remove obstacles that get in the way of people getting good medical care. People can use Proksy even if they are not good with computers. The people who made Proksy wanted to make sure everyone can use it. One of the things about Proksy is that it helps patients trust their doctors. Doctors have profiles on Proksy that tell patients about their experience and qualifications. This helps patients make choices about their medical care. Proksy also lets patients talk to doctors from over the place. This means that people can get care from really good doctors even if they live in a small town. Proksy makes it easier for patients to get the care they need. It also helps make the healthcare system better and more fair for everyone. Proksy is good for patients because it helps them get medical care when they need it. Proksy is a thing, for people who need medical care. Bakhtawar Raghib Ansari "Proksy: A Digital Healthcare Connectivity Platform" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101429.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101429/proksy-a-digital-healthcare-connectivity-platform/bakhtawar-raghib-ansari
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| Design and Implementation of an AI Based Content Moderation System for Automated Hate Speech and Toxic Language Detection | | Author : Bharti Pardhi | | Abstract | Full Text | Abstract :The rapid proliferation of social media platforms has drastically transformed global communication, democratizing the sharing of information. However, this significant digital expansion has catalyzed an alarming rise in cyberbullying, hate speech, and toxic discourse. Traditional manual moderation is no longer viable given the sheer volume, velocity, and linguistic complexity of user generated data. Furthermore, the modern digital landscape of 2026 is increasingly characterized by code mixed languages such as Hinglish and sophisticated obfuscation techniques, which theoretically mimic the complexity of LLM generated toxicity, easily evading standard keyword based filters. This research presents the comprehensive design, mathematical formulation, and implementation of an advanced AI based content moderation system tailored for automated detection of hate speech and toxic language. The study evaluates traditional machine learning algorithms alongside modern multilingual baselines, such as IndicBERT, against a novel hybrid DistilBERT BiLSTM architecture. To address the extreme class imbalance inherent in real world toxic comment datasets without corrupting discrete text features, Class Weighted Binary Cross Entropy is applied. The system’s performance is evaluated using advanced metrics including Accuracy, F1 score, Matthews Correlation Coefficient MCC , and inference latency. Experimental results across multiple random seeds demonstrate that the proposed hybrid architecture achieves a mean MCC score of 0.904 ± 0.003 and an F1 score of 0.913 ± 0.002, with an inference latency of 49.5 milliseconds, making it highly suitable for real time enterprise deployment. Comprehensive ablation studies and hyperparameter optimizations validate the architectural choices. Additionally, integrating Explainable AI via SHAP enables interpretable decision making by identifying the specific linguistic tokens responsible for toxicity predictions. The research contributes a scalable, transparent, and high performance AI moderation framework that promotes safer digital ecosystems while preserving freedom of expression and adhering to Indias stringent digital governance frameworks. Bharti Pardhi "Design and Implementation of an AI-Based Content Moderation System for Automated Hate Speech and Toxic Language Detection" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101430.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101430/design-and-implementation-of-an-aibased-content-moderation-system-for-automated-hate-speech-and-toxic-language-detection/bharti-pardhi
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| Melanoma Detection and Classification Using Convolution Neural Network Model | | Author : Bhavana Sanjay Ghadge | | Abstract | Full Text | Abstract :As technology in the field of healthcare advances, so does the need for efficient and accurate detection of skin cancer at earlier stages to improve patient care and reduce workload for medical staff. A novel automated melanoma detection and classification method using deep learning addresses this critical issue by presenting a trustworthy and efficient tool for analyzing dermoscopic images and determining their benign or malignant nature. This system utilizes advanced deep learning and computer vision technologies based on an efficient and scalable framework. The proposed method utilizes Convolutional Neural Networks CNNs that have been implemented using TensorFlow and Keras in Google Colab with the training carried out using an extensive dataset from Kaggle with images of different types of dermoscopic images. The images are preprocessed and augmented to ensure that the system can learn complex patterns and unique features that can be related to melanoma. The system also provides some key functionalities, such as accurate lesion classification, high feature extraction capability, image analysis, and high performance on different kinds of image samples. The model achieved 95.19 accuracy, thus proving to be highly dependable and useful for decision making for dermatologists. The system also aids in the early detection of diseases by reducing manual evaluation and minimizing waiting times for diagnosis. This deep learning technique successfully addresses key issues like the scarcity of skilled dermatologists, human error in interpretation, and the prevalence of melanoma in various parts of the world. The technique enhances the efficacy of medical results by making diagnoses and providing efficient, standardized, and unbiased analysis. The project lays down a solid foundation for further enhancements like multi class classification of skin lesions, mobile health app integration, real time environments, and advanced networks like ResNet and EfficientNet. Bhavana Sanjay Ghadge "Melanoma Detection and Classification Using Convolution Neural Network Model" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101431.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101431/melanoma-detection-and-classification-using-convolution-neural-network-model/bhavana-sanjay-ghadge
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| Veterinary Clinic Management System | | Author : Chetan Akre | | Abstract | Full Text | Abstract :The majority of veterinary clinics face major difficulties when they try to change from their existing paper based systems to complete digital systems. Veterinary practices experience administrative workflow problems which result in extended patient waiting times and material handling errors and medical information mishandling problems even though human healthcare facilities have adopted digital technology. Veterinary medicine faces a fundamental structural problem because it needs to establish complex data systems which can identify all animal patients treated by one human client who has various medical records and immunization details and treatment information. The research describes the complete design and system components and actualization process for a Veterinary Clinic Management System VCMS which operates on cloud technology and resolves sector specific operational challenges. The VCMS system uses a modern technology stack which supports large growth to achieve its responsive user interface through Next.js and its dependable back end system through Node.js. The system architecture controls data security through PostgreSQL database management which works with Supabase as a Backend as a Service BaaS . The system architecture provides continuous system availability together with easy system implementation and direct data updates between different clinic areas. The system uses a decoupled framework which enables it to operate with low delays while handling the heavy operational needs of a medical facility. The VCMS system uses an advanced hierarchical Electronic Medical Record EMR module which maintains multiple pet ownership records through its native system for handling one to many relationships. The system safeguards data security and privacy through its implementation of Role Based Access Control RBAC which restricts access to confidential financial and medical records according to employee roles. The system includes a financial suite which operates in real time to handle billing and cashbook management and inventory control functions which send alerts when essential medical items and drugs reach their defined minimum stock levels. The platform uses an automated messaging system which operates through WhatsApp API to send affordable appointment and preventive care reminders to pet owners, which helps solve the ongoing problem of client no shows and treatment non compliance at the veterinary clinic. The combined use of advanced cloud deployment frameworks and user friendly interfaces which focus on utility enables this system to decrease both administrative work and mental demands faced by veterinary personnel. The implementation shows that automated systems for executing basic tasks and handling communication enable practitioners to spend more time on their patient care responsibilities. The VCMS system offers a flexible and economical solution which enables veterinarians to modernize their healthcare delivery system while achieving better patient treatment and maintaining operational efficiency over time. Chetan Akre "Veterinary Clinic Management System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101432.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101432/veterinary-clinic-management-system/chetan-akre
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| Revealing and Classification of Spam Email Detection Using Machine Learning | | Author : Dhaneshwar Hariramji Bende | | Abstract | Full Text | Abstract :Spam emails have become a serious problem in modern digital communication, causing security threats such as phishing, fraud, and malware attacks. Manual filtering of emails is inefficient and unreliable due to the continuously evolving nature of spam. This project focuses on developing an automated spam email detection system using machine learning techniques. The proposed system analyzes the content of emails to classify them as spam or legitimate. Text preprocessing methods such as tokenization, stop word removal, and stemming are applied to clean the email data. Feature extraction is performed using the Term Frequency–Inverse Document Frequency TF IDF technique. A Naive Bayes classifier is employed to build the detection model due to its simplicity and effectiveness. The system is trained and tested on a publicly available dataset obtained from the UCI Machine Learning Repository. Experimental results demonstrate high classification accuracy and a low false positive rate. The proposed approach is computationally efficient and suitable for real time email filtering. This project highlights the importance of machine learning in enhancing email security. Future improvements may include deep learning models and adaptive spam filtering techniques. Dhaneshwar Hariramji Bende "Revealing and Classification of Spam Email Detection Using Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101433.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101433/revealing-and-classification-of-spam-email-detection-using-machine-learning/dhaneshwar-hariramji-bende
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| Smart Bike Sharing System with Demand Prediction, Dynamic Pricing, and AI Based Resource Optimization An Urban Mobility Navigator Framework | | Author : Krutika Karmore | | Abstract | Full Text | Abstract :Urban mobility systems are increasingly challenged by demand fluctuations, inefficient resource allocation, and static pricing strategies. Traditional bike sharing systems rely on rule based mechanisms that fail to capture contextual and temporal variations in demand. This paper proposes an intelligent framework, termed the Urban Mobility Navigator, which integrates Natural Language Processing NLP , Deep Learning, and optimization techniques to enhance operational efficiency in bike sharing systems. The proposed system utilizes Term Frequency–Inverse Document Frequency TF IDF for feature extraction from environmental and usage data, and employs a Recurrent Neural Network RNN to classify demand patterns based on temporal dependencies. Additionally, a recommendation engine based on cosine similarity is introduced to perform supply gap analysis and optimize bike redistribution across stations. A dynamic pricing model is incorporated to balance demand and supply while improving revenue. Krutika Karmore "Smart Bike Sharing System with Demand Prediction, Dynamic Pricing, and AI-Based Resource Optimization: An Urban Mobility Navigator Framework" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101435.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101435/smart-bike-sharing-system-with-demand-prediction-dynamic-pricing-and-aibased-resource-optimization-an-urban-mobility-navigator-framework/krutika-karmore
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| Student Admission Management System | | Author : Lakshmi Maskawar | | Abstract | Full Text | Abstract :The Student Admission Management System is a system that helps schools and colleges manage student admissions. It is based on Salesforce. This system makes it easier and faster to handle admissions with the help of a computer program. Old admission systems use paper records. These can be slow. Cause errors. The Student Admission Management System uses Salesforce to keep track of student inquiries. It helps follow up with them. It also makes reports to help with decisions. The system uses Salesforce tools like Leads, Accounts and Contacts. It also uses tools like Course to keep data in order. Automation is used to send reminders and notifications. This way no student inquiry is forgotten. Reports and dashboards show trends in admissions. They show where inquiries come from and which courses are popular. By using the Student Admission Management System, schools and colleges can work efficiently. They can reduce the work that needs to be done. They can also communicate better with students whore interested, in attending. The project shows how cloud based technologies can improve admission management. The Student Admission Management System provides solutions that can grow with organizations. The Student Admission Management System helps schools and colleges make the admission process smoother. It uses Salesforce to achieve this. The Student Admission Management System keeps track of student inquiries. It makes sure they are not missed. It also helps schools and colleges make decisions with the help of the Student Admission Management System. Lakshmi Maskawar "Student Admission Management System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101436.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101436/student-admission-management-system/lakshmi-maskawar
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| Environment Monitoring and Agriculture Internet of Thing Based Application | | Author : Minal U. Mahalle | | Abstract | Full Text | Abstract :Environment plays a very important role in agriculture because crops, soil, water, and climate are all part of the environment. Changes in environmental conditions such as temperature, rainfall, soil quality, and pollution can directly affect agricultural productivity. Therefore, monitoring the environment is essential for sustainable agriculture. Environmental monitoring involves observing and measuring different environmental factors like soil moisture, temperature, humidity, water quality, and air conditions. Modern technologies such as sensors, satellites, and data analysis help farmers and researchers collect accurate information about these factors. This information helps in making better farming decisions. In agriculture, environmental monitoring helps farmers manage water resources efficiently, protect soil fertility, and reduce the harmful effects of pests and diseases. It also helps in predicting weather changes and preventing crop losses. By using monitoring systems, farmers can apply fertilizers and pesticides in the right amount and at the right time, which reduces environmental pollution. Minal U. Mahalle "Environment Monitoring and Agriculture Internet of Thing Based Application" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101437.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101437/environment-monitoring-and-agriculture-internet-of-thing-based-application/minal-u-mahalle
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| AI Based Human Resource Management Tools and Techniques A Systematic Literature Review | | Author : Nayan Ingole | | Abstract | Full Text | Abstract :In the context of rapid advancements in artificial intelligence AI , its pervasive impact across industries extends to Human Resource Management HRM , redefining workforce management paradigms. This systematic literature review addresses the intersection of AI and HRM, elucidating AI driven tools and techniques that optimize recruitment, performance management, and employee engagement. Rooted in the recognition that conventional HRM approaches can be time intensive and biased, AIs integration promises to enhance decision making efficiency and accuracy. This review, guided by research questions, explores prevalent AI applications, evaluates statistical evidence of their impact, and engenders discussions on implications. Through methodological rigor, this review critically synthesizes diverse scholarly perspectives. It provides insights into AIs multifaceted role, encompassing candidate screening, personalized training, real time performance assessment, and engagement enhancement. Next, it furnishes statistically derived trends from selected studies, revealing adoption rates, prevalent techniques, and sector specific implementations. Nayan Ingole "AI-Based Human Resource Management Tools and Techniques; A Systematic Literature Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101438.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101438/aibased-human-resource-management-tools-and-techniques-a-systematic-literature-review/nayan-ingole
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| Detection of Images Generated by Artificial Intelligence, Literacy Visual and Disinformation | | Author : Nomitesh Fiske | | Abstract | Full Text | Abstract :The rapid advances in generative artificial intelligence AI in image generation in recent years pose a challenge when it comes to detecting and identifying artificially generated synthetic images. Through a comparative study between two selected groups of individuals one with a higher level of visual literacy than the other to whom we showed two images, one real and one generated using AI, we obtained results that demonstrate the real difficulty both groups have demonstrated, regardless of their level of visual literacy, in correctly detecting the origin of the images. The degree of realism in images created by AI is such that those with a higher level of visual literacy also have trouble distinguishing between the real image and the synthetic one. We conclude that visual literacy is still necessary, but in the current context, it may be insufficient. It would be advisable to integrate greater digital and media skills, as well as visual literacy that integrates new strategies related to new technologies, helping to detect the misinformation that the misuse of artificial intelligence can generate. The dizzying progress of generative artificial intelligence in image generation in recent years poses a challenge when it comes to detecting and identifying synthetic images that have been artificially generated. Through a comparative study between two selected groups of people one with a higher level of visual literacy than the other to whom we showed two images, one real and the other generated by artificial intelligence, we obtained results that show the real difficulty that both groups, regardless of their level of visual literacy, had in correctly identifying the origin of the images. The degree of realism in the AI generated images is such that those with higher levels of visual literacy also have problems distinguishing between the real and synthetic image. We conclude that visual literacy is still necessary, but may not be sufficient in the current context, and that it is appropriate to integrate greater digital and media literacy, as well as visual literacy that integrates new strategies related to new technologies, to help detect the misinformation that an improper use of artificial intelligence can generate. Nomitesh Fiske "Detection of Images Generated by Artificial Intelligence, Literacy Visual and Disinformation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101439.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101439/detection-of-images-generated-by-artificial-intelligence-literacy-visual-and-disinformation/nomitesh-fiske
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| Increasing Innovation Activities in The Process of Professional Development | | Author : Okilova Kamola Sadulloyevna | | Abstract | Full Text | Abstract : Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovative Development on Academic Research and Development during Covid 19 , May 2021, URL: https://www.ijtsrd.com/papers/ijtsrd41238.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/41238/increasing-innovation-activities-in-the-process-of-professional-development/okilova-kamola-sadulloyevna
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| Voice Assistant for Library Management System | | Author : Pranob Haldar | | Abstract | Full Text | Abstract :Voice based technologies have revolutionized the user experience of digital systems by introducing the concept of natural language processing. Libraries, which are currently relying on traditional digital interfaces, may benefit from the implementation of such technologies. This research introduces a voice based library management system that can be used to search books, check availability, issue books, return books, and send reminders using voice based user interface. The proposed system will use speech recognition, natural language processing, and database management techniques to create an intelligent interface. This research will show that the proposed system will be beneficial to visually impaired people, reduce the workload of librarians, and provide a better user experience. The experimental results show that the use of voice based interface will reduce the time taken to search books. Pranob Haldar "Voice Assistant for Library Management System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101440.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101440/voice-assistant-for-library-management-system/pranob-haldar
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| Content Management System for Enterprises | | Author : Shraddha Salve | | Abstract | Full Text | Abstract :Enterprise Content Management ECM solutions are commonly used in many areas such as document management, record management, digital asset management, etc. Key features of ECM systems are capturing, indexing, preserving and retrieving of digital information. The state of the art ECM solution can help revolutionize document management and further automated business processes which can lead to better decisions and competitive advantage. Risk management can reduce project failure and that is why controlling risk in ECM implementation projects is considered to be a major contributor to project success. To manage sohware risk, the first step is to identify a list of ECM projects’ risks. The present paper provides an overview of ECM implementation risks and contains findings from a small survey one xperience of ECM implementation and risk in Czech enterprises. Risk of implementation in the public sector is discussed more deeply with case study examples. Shraddha Salve "Content Management System for Enterprises" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101442.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101442/content-management-system-for-enterprises/shraddha-salve
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| AI Powered Cloud Based Conversational Chatbot Using AWS Services | | Author : Rutul Dnyaneshwar Pachpor | | Abstract | Full Text | Abstract :Finding information inside organizational documents is harder than it should be. You open a PDF, scroll through pages, maybe open another file, and still not find what you need. Traditional search methods take time. Rule based chatbots do not help much either they only respond to what they were programmed for. This research is about creating an AI powered chatbot that actually understands questions and finds answers from real documents. It runs completely on AWS serverless, so no infrastructure headaches. Amazon Lex handles the conversations. It figures out what the user is asking. Amazon Bedrock, specifically the Claude model, generates the actual responses. But here is the key part Retrieval Augmented Generation. That is a fancy way of saying the chatbot first pulls relevant info from documents stored in S3, then uses that to form its answer. So the response is grounded in actual content, not just AI guesswork. The frontend is built with Vue.js and JavaScript. It looks clean. Works on mobile. Supports voice too. You can talk to it, it talks back. There is silence detection, interruption handling all the stuff that makes voice feel natural. Security comes from Amazon Cognito, so only authorized users get in. And the whole setup is automated using CloudFormation. That means I can deploy everything with a template, consistent every time. You can run the chatbot as a full page. Or embed it as a widget using iframe. It remembers conversation history. It uses response cards for interactive options. Little details that make it actually usable. The goal was simple stop making people dig through documents. Let the AI do the digging. Faster responses, less dependency on human agents, and something that scales when more users show up. This system can work for customer support, education, enterprise knowledge bases anywhere people need answers fast. Rutul Dnyaneshwar Pachpor "AI-Powered Cloud-Based Conversational Chatbot Using AWS Services" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101441.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101441/aipowered-cloudbased-conversational-chatbot-using-aws-services/rutul-dnyaneshwar-pachpor
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| Wall Vastra An Online Custom Wall Décor and Frame Customization Platform | | Author : Shruti P. Dalvi | | Abstract | Full Text | Abstract :The personalized home décor sector has grown rapidly alongside the adoption of e commerce, yet wall framing and décor services have been slow to transition from physical, manual workflows to interactive digital platforms. Traditional framing businesses depend on in store consultations and manual production handling, while existing online alternatives lack real time product visualization, broad customization flexibility, and automated order management. This paper presents Wall Vastra, a web based platform developed to address these gaps by offering an end to end digital solution for custom wall décor and frame personalization. The platform allows users to upload personal photographs or browse curated artwork, configure frame styles and dimensions, select material finishes, and instantly view an accurate digital preview of the final product. The system integrates an image processing pipeline built with OpenCV and Pillow for compositing and rendering, a React.js frontend for responsive interaction, a Node.js backend with RESTful APIs for business logic, MySQL and MongoDB for data management, Amazon Web Services for cloud infrastructure, and Razorpay with UPI for secure transactions. Evaluation confirms successful functional delivery of all core features real time preview accuracy, reduced production errors through automation, and positive usability outcomes across a range of users. The modular architecture supports future expansion into augmented reality previewing, mobile applications, and broader décor product categories. Shruti P. Dalvi "Wall Vastra: An Online Custom Wall Décor and Frame Customization Platform" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101443.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101443/wall-vastra-an-online-custom-wall-décor-and-frame-customization-platform/shruti-p-dalvi
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| Custom Single Frame Builder | | Author : Subodh Janakwar | | Abstract | Full Text | Abstract :Custom Single Frame Builder project is a web based platform developed to improve the traditional process of custom framing. In the usual method, customers have to visit stores, explain their requirements, and imagine the final product without seeing an exact preview. This often leads to confusion, errors, and dissatisfaction. To solve this problem, this project provides an online system where users can design and order custom frames easily from home. The platform allows users to upload their images and customize different aspects of the frame such as size, colour, material, mat borders, and glass type. It also shows a real time preview of the final frame, which helps users make better decisions and feel more confident before placing an order. The system automatically records all customization details and generates accurate specifications, reducing manual errors. The application is built using modern web technologies and includes features like a user friendly interface, customization logic, preview system, and order management. It supports a made to order approach, which helps in reducing waste and improving efficiency. Subodh Janakwar "Custom Single Frame Builder" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101444.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101444/custom-single-frame-builder/subodh-janakwar
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| Health Care Detection | | Author : Vaishnavi S. Shende | | Abstract | Full Text | Abstract :Healthcare analytics is really important for doctors. It helps them find diseases early and take good care of patients. The system looks at the persons health information. It checks things like how much glucoses in their blood their blood pressure, their body mass index, their insulin level and how old they are. The system uses computer programs to look at the data. These programs are called Logistic Regression, Random Forest and Support Vector Machine. They help figure out if someones likely to get diabetes. The system is designed to be flexible new and better computer models can be added later. The main goal of this research is to help doctors find out if someone has diabetes early. It also gives doctors a tool to help them make decisions about how to take care of their patients. The Healthcare Disease Detection System is a tool for doctors and other healthcare professionals. It helps them take care of patients and stop diseases like diabetes. Healthcare analytics and the Healthcare Disease Detection System can really make a difference in medicine. How patients are taken care of. Healthcare analytics is very important, for care. Vaishnavi S. Shende "Health Care Detection" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101446.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101446/health-care-detection/vaishnavi-s-shende
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| Student QR System Using HTML, CSS and JavaScript An Automated Attendance Management Solution | | Author : Ushma Randeria | | Abstract | Full Text | Abstract :The old way of taking attendance is really slow. Often has mistakes. It is also easy for someone to pretend to be another student. This is a problem for schools. That is why we made the Student QR System. It is a website that uses QR codes to identify students and keep track of attendance. We built this system using HTML, CSS and JavaScript. This means it is easy to use and can be accessed from any computer or phone with a web browser. We do not need any equipment. Each student gets a QR code with their name and information on it. We can scan this code with a phone or camera to mark them present quickly and correctly. The Student QR System solves a lot of problems with the way of taking attendance. It gets rid of paperwork reduces mistakes stops people from pretending to be someone and saves time for both students and teachers. The system has five parts making QR codes scanning QR codes, managing student information, managing attendance and the user interface. It uses JavaScript to process information and PHP and MySQL to store data. When we tested the system we found that it is much better than the way. It stops people from pretending to be someone marks attendance much faster. Under 30 seconds per class gets rid of all paperwork and makes attendance records more accurate. The Student QR System is a solution, for schools because it is affordable and can be used by schools of all sizes. All we need is a web browser and a camera. In the future we want to add features like using fingerprints or faces to identify students making a mobile app sending notifications making reports automatically and connecting it to existing student information systems. The Student QR System is a tool for schools to manage attendance in a simple and efficient way. Ushma Randeria "Student QR System Using HTML, CSS & JavaScript: An Automated Attendance Management Solution" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101445.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101445/student-qr-system-using-html-css-and-javascript-an-automated-attendance-management-solution/ushma-randeria
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| AI Assisted Solar Energy Generation Prediction System | | Author : Vanshika Arvind Mankar | | Abstract | Full Text | Abstract :The explosive growth of renewable energy has led to a higher need for tools that assist people in determining the viability and benefits of solar power installation. However, there are many potential users who do not have accessible platforms that integrate accurate solar generation prediction, financial analysis, and easy to use visualisation. This research introduces the AI Assisted Solar Energy Generation Prediction System, a web based application that approximates the solar energy generation based on the geographic location and the electricity consumption. The system combines several external data sources and the latest web technologies to deliver precise and interactive solar potential analysis. Geographic coordinates of chosen city are used to retrieve solar production estimates from the NREL PVWatts API and real time weather information is retrieved using the OpenWeather API. The backend, which was created with Python and Flask, takes these inputs and calculates solar generation, energy offset, financial savings, system coverage and environmental benefits such as CO2 reduction. The frontend interface is used to visualise the results in the form of interactive charts and comparison tables, allowing the user to compare different solar system sizes. In addition, the system includes an AI based assistant, based on a large language model, to provide personalised insights and recommendations about solar installation. By integrating solar prediction algorithms, financial calculations and AI generated analysis in one platform, the proposed system offers users an intuitive and informative decision support tool for solar energy adoption. Vanshika Arvind Mankar "AI-Assisted Solar Energy Generation Prediction System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101447.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101447/aiassisted-solar-energy-generation-prediction-system/vanshika-arvind-mankar
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| Centralized School Administration and CRM Portal | | Author : Vikash Kumar Mahto | | Abstract | Full Text | Abstract :Educational institutions deal with a lot of data including student records, attendance, exam results, fee payments, staff details and admission queries. The old manual systems and separate digital tools often cause problems like wasted time repeated data, security risks and delayed information. To solve these issues this research suggests creating a Centralized School Administration and CRM Portal.This web application is going to be really flexible. It is based on what the user needs. It will combine the tasks that schools need to manage every day with features that help them interact with people like students and parents in a way. The school portal wants to make it easier for schools to do their work and talk to students, parents and staff. By using this portal schools can reduce inefficiencies. Make better use of their resources. The Centralized School Administration and CRM Portal will help schools to manage their data effectively. It will provide a platform, for all school management operations and CRM functionalities. The system we are talking about is made using the web technologies. This includes React.js for the part that users see Node.js and Express.js for the behind the scenes work and MongoDB as the database. The system uses a way to make sure only the right people can get to the information and this is done with something called JWT and role based access control. We are using a system for the backend to make it easier to keep everything running smoothly and to make it work for a large number of people. The part of the system that manages relationships with customers or in this case the CRM module keeps track of people whore interested in joining, the follow ups and when they finally become students. The system has dashboards for five types of users Administrator, Teacher, Student, Parent and Admission Staff. These dashboards get updated in time. This means that when something changes the dashboards show the information right away. The system is really good at showing how well it works. It makes things easier and more efficient. It also helps keep all the information easy to see. This is a lot better than the systems. The system is also very flexible. This means it can be used by schools or big colleges. It can even be used by coaching institutes or schools with branches. The system is great, for any kind of organization. Vikash Kumar Mahto "Centralized School Administration & CRM Portal" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101448.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101448/centralized-school-administration-and-crm-portal/vikash-kumar-mahto
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| Web Based Shopping Cart System with Secure Payment Integration | | Author : Vishakha Kishan Mangtani | | Abstract | Full Text | Abstract :These days, shopping happens on screens back then, people walked into stores instead. Thanks to the internet, companies reach customers anytime, anywhere. See something you like Into a digital basket it goes, joining others while you decide. Not sure anymore Adjust the amount or remove it completely before the order closes. These days, grabbing what you need feels smooth, since stores keep things running behind the scenes. Not long back, buying a single item could take hours out of your day today, its done quickly, start to finish, without leaving home. After everything runs, out pops a functional shopping cart built using Spring Boot. Browsing items comes naturally users drop products into the cart when ready, pull them out just as easily. Adjusting quantities Done directly on the interface, updates show up instantly. Structure stays clean thanks to MVC model handles data, view shows it, controller manages flow all separate, none tangled. Beneath the surface, a MySQL setup keeps things in place. Where information shows up depends on that hidden structure. Everything required sits inside, waiting until its time to appear. Strong right from the start, this setup gives web stores a different way to lift sales by standing firm, shifting easily when needed, staying shielded under one tough cover. Beginning at the foundation, it proves today’s tech can build an online world where shopping flows quiet, fits like routine, slips by without snag. Vishakha Kishan Mangtani "Web-Based Shopping Cart System with Secure Payment Integration" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101449.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101449/webbased-shopping-cart-system-with-secure-payment-integration/vishakha-kishan-mangtani
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| Design and Development of an Automated Tournament Management System | | Author : Yash Chintalwar | | Abstract | Full Text | Abstract :Managing sports tournaments is really tough. They have to keep track of all players and teams. They also have to update results soon as matches are over. To make things easier we can create a Tournament Management System. This system helps automate managing sports tournaments. We will. Build it using Java. The Tournament Management System helps manage sports tournaments. The Tournament Management System lets organizers create sports tournaments. They can also register teams or players. The system automatically generates match schedules. After matches are over they can update results. The Tournament Management System shows team rankings. It uses Java and a database. This ensures accuracy. Keeps everything up to date.It reduces work for organizers. The Tournament Management System can be used for all sorts of competitions. These include sports games, e sports tournaments and academic competitions. For example it is useful for managing sports games. It is also useful for managing e sports tournaments. The Tournament Management System is really useful, for managing these events. Yash Chintalwar "Design and Development of an Automated Tournament Management System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications , April 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101450.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/101450/design-and-development-of-an-automated-tournament-management-system/yash-chintalwar
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| Analyzing the Works about Causes and Factors of Infertility | | Author : Magzumova N. M. | Gadoeva D. A. | Musaeva A. F | | Abstract | Full Text | Abstract :Infertility is the inability to become pregnant after one year of intercourse without contraception involving a male and female partner. The frequency of the female factor is 62–75 , and that of the male factor is 28–45 . Moreover, impaired reproductive function in both partners is observed in every third infertile couple. primary infertility the absence of pregnancy in the anamnesis, and secondary infertility established in the presence of pregnancy in the past. If possible, the onset of pregnancy is characterized by absolute and relative infertility. They say about absolute infertility when the possibility of pregnancy is completely excluded there is no uterus, ovaries, or there are severe anomalies in the development of the genitals. By relative infertility is meant the preservation of fertility, but the inability to have children in the particular marriage in question for example, male infertility . Magzumova N. M. | Gadoeva D. A. | Musaeva A. F "Analyzing the Works about Causes and Factors of Infertility" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovative Development on Academic Research and Development during Covid 19 , May 2021, URL: https://www.ijtsrd.com/papers/ijtsrd41274.pdf Paper URL: https://www.ijtsrd.com/medicine/other/41274/analyzing-the-works-about-causes-and-factors-of-infertility/magzumova-n-m
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| Creative Triad in Artistic Life of Samarkand in 30 Years of XX Century | | Author : Shakhlo Barnaeva | Shakarboy Urinbaev | | Abstract | Full Text | Abstract :This article briefly talks about the work of outstanding artists Leon Bure, Pavel Benkov and Zinaida Kovalevskaya, whose fate and work of each is closely connected with the historical city of Samarkand. Since the rise in their work is most vividly reflected precisely in the 30s of the 20th century, the analysis of the artistic works of the first half of the 20th century was righteous. Despite the fact that the theme of the paintings, the plot and orientation of the compositions, handwriting, performances are different, they are united by their time, place and love for Samarkand. Shakhlo Barnaeva | Shakarboy Urinbaev "Creative Triad in Artistic Life of Samarkand in 30 Years of XX Century" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovative Development on Academic Research and Development during Covid 19 , May 2021, URL: https://www.ijtsrd.com/papers/ijtsrd43707.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/43707/creative-triad-in-artistic-life-of-samarkand-in-30-years-of-xx-century/shakhlo-barnaeva
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| Modern Methods for Obtaining Silicon Nitride Powders | | Author : M. A. Juraeva | Sh. A. Karimov | Sh. M. Shakirov | | Abstract | Full Text | Abstract :The article presents the prospect of using materials based on silicon nitride in various fields of technology and a comparative analysis of the cost of raw materials for the production of tungsten hard alloys, tool materials based on silicon nitride, as well as a literature review of modern methods for producing silicon nitride powders and their properties. It is shown that at present the main methods of obtaining silicon nitride powders are self propagating high temperature synthesis SHS . M. A. Juraeva | Sh. A. Karimov | Sh. M. Shakirov "Modern Methods for Obtaining Silicon Nitride Powders" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovative Development on Academic Research and Development during Covid 19 , May 2021, URL: https://www.ijtsrd.com/papers/ijtsrd42511.pdf Paper URL: https://www.ijtsrd.com/medicine/other/42511/modern-methods-for-obtaining-silicon-nitride-powders/m-a-juraeva
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| Phraseological Units in English Variety through Lexical Addition | | Author : Sobirova Maxliyo Gayrat Qizi | Polvanova Maxzuna Farxodovna | | Abstract | Full Text | Abstract :Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49985.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/49985/phraseological-units-in-english-variety-through-lexical-addition/sobirova-maxliyo-gayrat-qizi
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| Comparison of Auditory and Visual Learning Styles in Second Language Acquisition | | Author : Kadirov Tohirjon | | Abstract | Full Text | Abstract :The following research is dedicated to comparison of auditory and visual learning styles in Second Language Acquisition. As the main objectives of this small scale research are to analyze and compare the two different styles of language learning and identify which learning style is more effective in terms of second language acquisition. Regarding learning styles, several types of research methods are implemented in this research in order to get results that are more reliable. Kadirov Tohirjon "Comparison of Auditory and Visual Learning Styles in Second Language Acquisition" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovative Development on Academic Research and Development during Covid 19 , May 2021, URL: https://www.ijtsrd.com/papers/ijtsrd43708.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/43708/comparison-of-auditory-and-visual-learning-styles-in-second-language-acquisition/kadirov-tohirjon
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| Comparative Analysis of Phraseological Units in Cognitive Aspect | | Author : Saitnazarov J. K | | Abstract | Full Text | Abstract :The article investigates the semantic structures of English phraseological units with proper names and explain their grammatical, lexical and semantic syntactical features and reason of using them paying attention to the national and cultural matters. Saitnazarov J. K "Comparative Analysis of Phraseological Units in Cognitive Aspect" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovative Development on Academic Research and Development during Covid 19 , May 2021, URL: https://www.ijtsrd.com/papers/ijtsrd43717.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/43717/comparative-analysis-of-phraseological-units-in-cognitive-aspect/saitnazarov-j-k
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| Using Video Materials in Teaching a Foreign Language | | Author : Boltayeva Durdona Bahadirovna | | Abstract | Full Text | Abstract :The article discusses the use of video in foreign language lessons as a means of developing students communicative competence. It proves that the use of video materials helps improve the quality of knowledge acquisition in foreign language lessons, allows students to get a clear idea of the life, traditions, and linguistic realities of English speaking countries and develops students’ speech activity. The use of video material helps to compensate for the lack of a foreign language environment, broadens horizons, and cultivates aesthetic taste in students as well. Boltayeva Durdona Bahadirovna "Using Video Materials in Teaching a Foreign Language" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovative Strategies in Multidisciplinary Research and Analysis , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63476.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/63476/using-video-materials-in-teaching-a-foreign-language/boltayeva-durdona-bahadirovna
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| Translating Peculiarities of Cultural Words and Lexical Phraseological Units of “FIRDAWS AL IQBAL” | | Author : Borasulova Dilnoza | | Abstract | Full Text | Abstract :This scientific article is written about the English translation of the masterpiece “Firdavs ul Iqbal”. This masterpiece written by great translators and writers Ogahi and Munis. “Firdavs ul Iqbal” translated by the orientalist Yuri Bregel, and another proof of the works priceless historical example of the Islamic world. In the Introduction part, he provided valuable information on a number of historical facts about the writing of the work and the sources used in the work. We tried to show how rich our Turkish language is from the language of the work by studying the English translation of the words in the lexical semantic field of to die . The work can be a witness of such valuable sources. Borasulova Dilnoza "Translating Peculiarities of Cultural Words and Lexical-Phraseological Units of “FIRDAWS AL-IQBAL”" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovative Strategies in Multidisciplinary Research and Analysis , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64548.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/64548/translating-peculiarities-of-cultural-words-and-lexicalphraseological-units-of-“firdaws-aliqbal”/borasulova-dilnoza
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| Analysis of Translation of English Advertising Texts into Uzbek | | Author : Khalilova Guzal Abdupattahovna | Khalilova Zulfiya Novshod | | Abstract | Full Text | Abstract :This article is dedicated to the analysis of Translation of English Advertising Texts into Uzbek Study could help Uzbek learners of English and Uzbek have useful and significant knowledge of translation English Advertising Texts effectively and naturally in their learning process as well as in their daily life. Khalilova Guzal Abdupattahovna | Khalilova Zulfiya Novshod "Analysis of Translation of English Advertising Texts into Uzbek" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovative Strategies in Multidisciplinary Research and Analysis , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63477.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/63477/analysis-of-translation-of-english-advertising-texts-into-uzbek/khalilova-guzal-abdupattahovna
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| Main Features and Technology of a Foreign Language Lesson | | Author : Mamirova Gulnoza Ikrom qizi | | Abstract | Full Text | Abstract :The article considers about main features and technology of a foreign language lesson. It says the content of a foreign language lesson in terms of oral speech development is determined by precisely selected situations in accordance with the objectives of the lesson and the characteristics of the students, and, of course, the language and speech material in this case becomes motivated, and its application becomes natural. Requirements for the content of the lesson require awareness of the material and actions with it, so that students see the meaning in completing tasks in the language being studied. Mamirova Gulnoza Ikrom qizi "Main Features and Technology of a Foreign Language Lesson" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovative Strategies in Multidisciplinary Research and Analysis , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64549.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/literature/64549/main-features-and-technology-of-a-foreign-language-lesson/mamirova-gulnoza-ikrom-qizi
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| Moderation and Diffusion of Neutrons in the Reactor and its Multiplication Properties in the Field of Methodology | | Author : A. Kh. Ramazanov | E. Kh. Bozorov | | Abstract | Full Text | Abstract :Conceptual study on diffusion and moderation of neutron in nonmultiplying and multiplying medium in nuclear reactor have been conducted by using mathematical explanation, experimental data and graphical representation. The corresponding governing equations have been explained. A brief discussion on neutron and criticality of a reactor is carried on. Necessity of a moderator medium in slow reactors has been discussed. Comparative analysis of usefulness and drawbacks as moderator for different medium Graphite, Beryllium, light water, heavy water and Lithium Fluoride have been studied in aspects of different features. Mathematical example of calculating numbers of collision required for thermalization process is shown. A primary starter source is introduced in the reactor to start the initial fission reaction. Once critical condition is reached chain reaction is established. Neutron is diffused from high to low concentration area according to Fick’s law of diffusion. While going through the moderator medium fast neutron are slowed down. It is found that Fermi age and thermal diffusion length of neutron is smaller in light and heavy water than graphite or beryllium. Thus light and heavy water are effective moderator and are used conveniently in nuclear reactors. A. Kh. Ramazanov | E. Kh. Bozorov "Moderation and Diffusion of Neutrons in the Reactor and its Multiplication Properties in the Field of Methodology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovative Strategies in Multidisciplinary Research and Analysis , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63478.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/63478/moderation-and-diffusion-of-neutrons-in-the-reactor-and-its-multiplication-properties-in-the-field-of-methodology/a-kh-ramazanov
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| Internet Resources as a Means of Teaching the New Generation | | Author : Avezmetov Jaxongir Sheraliyevich | | Abstract | Full Text | Abstract :The article considers about Internet resources that are actively being introduced into the education system, including in the process of teaching students a foreign language. With the advent of computers in the educational process, the methods and techniques of working in the classroom gradually began to be updated. Internet resources greatly facilitate the teacher’s work when planning and conducting a lesson. Teachers quite often use game programs, websites with interactive exercises, test tasks, as well as regional videos, which always arouse genuine interest among students. Avezmetov Jaxongir Sheraliyevich "Internet Resources as a Means of Teaching the New Generation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovative Strategies in Multidisciplinary Research and Analysis , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64565.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/64565/internet-resources-as-a-means-of-teaching-the-new-generation/avezmetov-jaxongir-sheraliyevich
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| Methodology of Teacher Rating in Quality Control in Professional Education | | Author : Bakirova Nargiza Batiraliyevna | | Abstract | Full Text | Abstract :The article considers about methodology of teacher rating in quality control in professional education. Statistics related to the fulfillment of the annual workload in the directions allow to give a quantitative assessment of the teachers’ activity. In determining their rating, along with quantitative indicators, quality indicators are analyzed in here. Bakirova Nargiza Batiraliyevna "Methodology of Teacher Rating in Quality Control in Professional Education" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovative Strategies in Multidisciplinary Research and Analysis , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64567.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/64567/methodology-of-teacher-rating-in-quality-control-in-professional-education/bakirova-nargiza-batiraliyevna
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| Cultural Specific Features of Gestures in Fiction Translation | | Author : Inamova Dilfuza Ergashevna | Bakirova Khilolakhon Botiraliyevna | | Abstract | Full Text | Abstract :The authors of the article analyze the use of gestures when changing the tempo of speech of a speaker performing simultaneous translation, which is considered as a professional activity with an increased cognitive load. The purpose of the study is to conduct a polymodal multimodal analysis of such difficulties, which would take into account the gestural features of the behavior of simultaneous interpreters. We assume that at these moments of translation activity gestures will play a significant role. Our assumption is based on studies that examine the variety of functions of gestures. Inamova Dilfuza Ergashevna | Bakirova Khilolakhon Botiraliyevna "Cultural-Specific Features of Gestures in Fiction Translation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovative Strategies in Multidisciplinary Research and Analysis , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64566.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/64566/culturalspecific-features-of-gestures-in-fiction-translation/inamova-dilfuza-ergashevna
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| Approaches to Developing Leadership Competence of Future Specialists Based on Foreign Experiences | | Author : Toraboeva Madinakhan Rahmonjon kizi | | Abstract | Full Text | Abstract :In this article, priority directions for developing leadership potential of future professionals, as well as a comparative analysis of professional resources, and recommendations for developing leadership potential in young students have been developed. Toraboeva Madinakhan Rahmonjon kizi "Approaches to Developing Leadership Competence of Future Specialists Based on Foreign Experiences" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovative Strategies in Multidisciplinary Research and Analysis , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64575.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/64575/approaches-to-developing-leadership-competence-of-future-specialists-based-on-foreign-experiences/toraboeva-madinakhan-rahmonjon-kizi
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| Techniques for Learning English for Children | | Author : Ergasheva Gulnora Nematovna | | Abstract | Full Text | Abstract :The article deals the modern teaching through games in kindergarten. Nowadays kindergarten children are too smart, to teach them the English language it is significant to use various types of techniques and methods. The most common techniques used in teaching English in kindergarten such as songs, chants, puppets, flashcards, and games will be described in greater detail. Ergasheva Gulnora Nematovna "Techniques for Learning English for Children" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovative Strategies in Multidisciplinary Research and Analysis , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64574.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/64574/techniques-for-learning-english-for-children/ergasheva-gulnora-nematovna
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| Improvement of Exports, Imports and Trade Balance in Market Economy | | Author : Abdurasulova Manzura Abdushukur Qizi | Kuzieva Fotima Javlon Qizi | | Abstract | Full Text | Abstract :This article discusses how imports and exports affect the trade balance. The article provides information on the advantages and disadvantages of exports and imports, as well as the mistakes made in this process. And, of course, the article considers the state of the trade balance of imports and exports in some countries. Abdurasulova Manzura Abdushukur Qizi | Kuzieva Fotima Javlon Qizi "Improvement of Exports, Imports and Trade Balance in Market Economy" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd48037.pdf Paper URL: https://www.ijtsrd.com/economics/other/48037/improvement-of-exports-imports-and-trade-balance-in-market-economy/abdurasulova-manzura-abdushukur-qizi
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| The Effects of IT in Teaching Future Translators | | Author : Muminova Durdonakhon Shukhratovna | | Abstract | Full Text | Abstract :This article considers the analysis of the use of modern information technologies by professional translators. The article also analyzes the main problems associated with translation that can be solved using modern machine translation systems. The relevance of the work lies in the fact that currently a specialist translator must have competencies in the field of using information and communication technologies. Muminova Durdonakhon Shukhratovna "The Effects of IT in Teaching Future Translators" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovative Strategies in Multidisciplinary Research and Analysis , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64648.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/64648/the-effects-of-it-in-teaching-future-translators/muminova-durdonakhon-shukhratovna
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| Development of Historical Thinking in High Class Students through Theater Pedagogy | | Author : M. B. Artikova | Sh. B. Payg`amov | | Abstract | Full Text | Abstract :the article reflects the essence of the concept of school theater pedagogy, the need and stages of its formation, the aspects of using theater pedagogy in the education of foreign schools, the existing problems and their solutions. M. B. Artikova | Sh. B. Payg`amov "Development of Historical Thinking in High Class Students through Theater Pedagogy" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovative Strategies in Multidisciplinary Research and Analysis , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64676.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/64676/development-of-historical-thinking-in-high-class-students-through-theater-pedagogy/m-b-artikova
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| Definition and Understanding of Cultural Differences in Translation | | Author : Khodjaeva Saodatkhan Saidullayevna | Fazilova Nurxon Ibrohimjon Qizi | | Abstract | Full Text | Abstract :The article deals with the definition and understanding of cultural differences in translation. It is important to note that cultural differences are not static and can evolve over time, influenced by globalization, migration, technological advancements, and intercultural exchange. Therefore, continuous learning and engagement with different cultures are crucial for fostering intercultural understanding and promoting harmonious interactions in our increasingly interconnected world. Khodjaeva Saodatkhan Saidullayevna | Fazilova Nurxon Ibrohimjon Qizi "Definition and Understanding of Cultural Differences in Translation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovative Strategies in Multidisciplinary Research and Analysis , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64672.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/64672/definition-and-understanding-of-cultural-differences-in-translation/khodjaeva-saodatkhan-saidullayevna
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| Assessment of the Functional State of Wrestlers Specializing in Freestyle Wrestling, Depending on the Style of the Fight | | Author : Solaydinov E. Sh. | | Abstract | Full Text | Abstract :An assessment of the physical performance and physical fitness of freestyle wrestlers was carried out, taking into account the style of waging a duel. Differences and dependence of indicators on the power of the load performed by the muscles, on the indicator of physical performance, hemodynamic indicators, aerobic capabilities of a linear nature have been established although the indicators have specific differences for wrestlers with different styles of fighting, however, with increasing load, the indicators of physical performance and MPC increase proportionally. Solaydinov E. Sh. "Assessment of the Functional State of Wrestlers Specializing in Freestyle Wrestling, Depending on the Style of the Fight" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovative Strategies in Multidisciplinary Research and Analysis , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64675.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/other/64675/assessment-of-the-functional-state-of-wrestlers-specializing-in-freestyle-wrestling-depending-on-the-style-of-the-fight/solaydinov-e-sh
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| Pedagogical Conditions for Forming Students Motivation to Go into Mass Sports | | Author : Ismatullayev Ismatulla Rustam Ougli | | Abstract | Full Text | Abstract :Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49989.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/49989/pedagogical-conditions-for-forming-students-motivation-to-go-into-mass-sports/ismatullayev-ismatulla-rustam-ougli
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| The Importance of Creativity in Primary Education and the Methods of Developing Creative Activities in the Conditions of Digitalization in the Process of Professional Development | | Author : Khoshimova Feruzakhan Bakhodirovna | | Abstract | Full Text | Abstract :Development of creative activity of teachers with the help of digital technologies is a relevant and promising direction in the modern educational environment. Digital technologies provide teachers with many opportunities for creative development, enrichment of the educational process, and improvement of educational efficiency. Khoshimova Feruzakhan Bakhodirovna "The Importance of Creativity in Primary Education and the Methods of Developing Creative Activities in the Conditions of Digitalization in the Process of Professional Development" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovative Strategies in Multidisciplinary Research and Analysis , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64677.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/64677/the-importance-of-creativity-in-primary-education-and-the-methods-of-developing-creative-activities-in-the-conditions-of-digitalization-in-the-process-of-professional-development/khoshimova-feruzakhan-bakhodirovna
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| Japanese Experience in Increasing the Efficiency of Tourist Territories in Uzbekistan | | Author : Yuldashev Feruz Isroilovich | Abdullayeva Hilola Nutfilloyevna | | Abstract | Full Text | Abstract :Uzbekistan has great potential in the field of tourism, and it is necessary to study foreign experience in its development. This article examines the experience of Japan in the field of tourism and analyzes its indicators. Tourism potential and touristic prospect in Uzbekistan is viable. These are, first of all, unique cultural monuments that resemble our rich history and national value of our country. Yuldashev Feruz Isroilovich | Abdullayeva Hilola Nutfilloyevna "Japanese Experience in Increasing the Efficiency of Tourist Territories in Uzbekistan" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd48036.pdf Paper URL: https://www.ijtsrd.com/economics/other/48036/japanese-experience-in-increasing-the-efficiency-of-tourist-territories-in-uzbekistan/yuldashev-feruz-isroilovich
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| Christianity – Doctrine, Tradition, Beliefs and Concepts An Overview | | Author : Sakib Ali | | Abstract | Full Text | Abstract :After the creation of the world, the first thinking and contemplative creature was born in the form of man. Who has done and continues to do continuous development work through his mature intellect. But no one is able to achieve universal opinion about himself. Sakib Ali "Christianity – Doctrine, Tradition, Beliefs and Concepts: An Overview" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovative Strategies in Multidisciplinary Research and Analysis , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64651.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/sanskrit/64651/christianity-–-doctrine-tradition-beliefs-and-concepts-an-overview/sakib-ali
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| Condition and Prospects of Healthy Goseberry Seeding Material | | Author : Valieva Shoira Abdivositovna | | Abstract | Full Text | Abstract :The way out of this situation is the transition or transfer of all industrial gardening in Uzbekistan to an intensive path of development, to the establishment and cultivation of intensive and super intensive gardens using the latest technologies, mainly on low growing clonal rootstocks.The intensification of the horticultural industry determines the need to develop new efficient production technologies, healthy high quality planting material. Uterine and industrial plantings of fruit and berry crops. laid with certified planting material, maximize their genetic potential and give 1.5 4 times more products than when using ordinary material. Valieva Shoira Abdivositovna "Condition and Prospects of Healthy Goseberry Seeding Material" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49169.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/49169/condition-and-prospects-of-healthy-goseberry-seeding-material/valieva-shoira-abdivositovna
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| Opportunities to Increase the Effectiveness of Marketing Activities in the Enterprise | | Author : S. K. Boyjigitov | | Abstract | Full Text | Abstract :In this article, the concept of marketing effectiveness is considered as a very relevant topic in a highly competitive environment. Marketing efficiency can be described as a function of improving the process of entering the market in order to optimize its own marketing resources spent to achieve better results for short and long term strategic goals of marketing. In addition, improved marketing effectiveness not only helps businesses prioritize their efforts, but also increases the quality and accuracy of marketing resources required by consumers.Finding relevant key metrics should contribute to the evaluation of marketing effectiveness. Strategic marketing is integrated into strategic management, which helps to improve the company’s market share. However, the trend of creation efficiency in companies is growing and it is necessary to check the economic income and look for the efficiency of the funds spent on marketing. This article discusses the issues of determining the possibility of improving the performance of the domestic and foreign markets by determining the economic performance of the enterprise and evaluating the effectiveness of marketing activities. S. K. Boyjigitov "Opportunities to Increase the Effectiveness of Marketing Activities in the Enterprise" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49194.pdf Paper URL: https://www.ijtsrd.com/management/marketing/49194/opportunities-to-increase-the-effectiveness-of-marketing-activities-in-the-enterprise/s-k-boyjigitov
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| Modern Methods of Corrosion of Car Details and Their Protection | | Author : Tojiboyev Begijon Mamitovich | Mamajonova Madina Ravshanbek Qizi | | Abstract | Full Text | Abstract :This article is written about the corrosion of metals and non metal contructions, the protection of Automobile details from corrosion, the reasons for their origin, the modern traditional ways of corrosion and erosion differences. Tojiboyev Begijon Mamitovich | Mamajonova Madina Ravshanbek Qizi "Modern Methods of Corrosion of Car Details and Their Protection" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49202.pdf Paper URL: https://www.ijtsrd.com/engineering/other/49202/modern-methods-of-corrosion-of-car-details-and-their-protection/tojiboyev-begijon-mamitovich
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| Modern Technologies for Formation of Schoolchildrens Motor Activity in the Process of Physical Education | | Author : Ruziyev Makhmud Khurram Ougli | | Abstract | Full Text | Abstract : Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49997.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/49997/modern-technologies-for-formation-of-schoolchildrens-motor-activity-in-the-process-of-physical-education/ruziyev-makhmud-khurram-ougli
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| Methodology of Using Teaching Tasks Based on Competency Approach in the Mother Tongue Teaching Process | | Author : Saydaxmedova Zeboxon Ibragimovna | | Abstract | Full Text | Abstract :The article provides examples of the process of practical application of the elements of basic competencies that are formed in students in the teaching of the mother tongue. Recommendations are given for the use of basic competencies in developing students abilities, their speech, thinking, and the ability to use available sources of information. Saydaxmedova Zeboxon Ibragimovna "Methodology of Using Teaching Tasks Based on Competency Approach in the Mother Tongue Teaching Process" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49235.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/49235/methodology-of-using-teaching-tasks-based-on-competency-approach-in-the-mother-tongue-teaching-process/saydaxmedova-zeboxon-ibragimovna
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| Developing Vocabulary Acquisition Strategies in ELT | | Author : Shamsiddinova Dilafruz Faxriddinovna | | Abstract | Full Text | Abstract :The purpose of this article is to identify the ways of teaching and enhancing students’ vocabulary and learning skills through helpful strategies find the appropriate methods according to their levels and interest. The power of special techniques and particular use can be one of the helpful and easily memorable ways how to acquire a language with ease and delight. This research examined students’ interest in the classroom, instructional strategies and alternative assessment promoting motivation. Shamsiddinova Dilafruz Faxriddinovna "Developing Vocabulary Acquisition Strategies in ELT" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49246.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/49246/developing-vocabulary-acquisition-strategies-in-elt/shamsiddinova-dilafruz-faxriddinovna
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| Staff Motivation System in A Commercial Bank | | Author : Nozimov Eldor Anvarovich | | Abstract | Full Text | Abstract :In this article, the author emphasizes the importance of the personnel motivation system in a commercial bank. The concept of motive is considered and the authors definition is given. The main types of motives are studied. Methods of personnel motivation are considered. The system of motivation in a commercial bank is considered. The methods of material and non material incentives for the organizations personnel are studied. A comparative analysis of the personnel motivation system based on the data of a sociological survey of commercial bank employees is carried out. The main points of labor motivation are determined. A mechanism for increasing the staff motivation system in a commercial bank has been developed. Nozimov Eldor Anvarovich "Staff Motivation System in A Commercial Bank" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49262.pdf Paper URL: https://www.ijtsrd.com/management/hrm-and-retail-business/49262/staff-motivation-system-in-a-commercial-bank/nozimov-eldor-anvarovich
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| Some Techniques of Enlarging Vocabulary in Foreign Language | | Author : Jahongir Tursunhojayev | | Abstract | Full Text | Abstract :The article considers about some practical ways to expand vocabulary in English language. Because of its important role in reading development, vocabulary instruction has been a well researched area in the field of education for many years, and it is an area in which we continue to gain new insights. The purpose of this paper is to present vocabulary instruction research that is practical and effective for our target audience—teachers and staff—and to support their instructional efforts. Jahongir Tursunhojayev "Some Techniques of Enlarging Vocabulary in Foreign Language" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd50003.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/50003/some-techniques-of-enlarging-vocabulary-in-foreign-language/jahongir-tursunhojayev
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| The Sociological and Linguocultural Aspects of Uzbek Weddings | | Author : Joniqulov Abdullo Ziyodullo O`Gli | Kamalova Dilovar Azatxanovna | | Abstract | Full Text | Abstract :This article examines the hypothetical and strategic ground works of the impact of public customs on society. The job of ethno cultural values in the profound existence of Uzbek society is shown. The creators inspected weddings in the wording of customs and applied the methodology of E.Durkheim, A.R.Radcliffe Brown, C.Levy Strauss, and E.Lich. The wedding service of the people groups of Central Asia is one of the most complex edifices of customary family culture. It reflected the social and lawful relations, family structure, convictions, and religion. The ceremony has generally been associated with the highlights of the far off past, the close past. New peculiarities were brought into it with extraordinary trouble, regardless of whether the state and religion were keen on changing the ritual. The fundamental construction of the wedding function in Central Asia was the equivalent and incorporated the accompanying stages matchmaking wedding post wedding functions. The review uncovered the fundamental qualities of ethno cultural values, comprising customs, customs, ceremonies and ceremonies. As per the creators, the act of holding weddings with Uzbeks demonstrates that the most widely recognized factor is the dull bias so everything is like individuals have. Individuals attempt to have while possibly worse, then basically at the degree of others . The principle attributes of the ideas wedding , festivity , custom , as well as customs and customs of the Uzbek individuals it is investigated to during wedding occasions. Preventive measures to diminish and change the methodology of Uzbeks to weddings are thought of. Joniqulov Abdullo Ziyodullo O`Gli | Kamalova Dilovar Azatxanovna "The Sociological and Linguocultural Aspects of Uzbek Weddings" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49986.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/sociology/49986/the-sociological-and-linguocultural-aspects-of-uzbek-weddings/joniqulov-abdullo-ziyodullo-o`gli
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| Suggestions for Developing Creative Writing Skills in EFL Students | | Author : Usmonov Giyosiddin Murotjonovich | | Abstract | Full Text | Abstract :In this article we focus on free creative writing activities with the control of the teacher. Because, writing is essentially a creative process. Learning how to write in English is important. Creative writing gives learners practice in composing and complements more traditional approaches. This article de scribes activities that focus on communication and self expression. Learners will be encouraged to write if writing tasks motivate them and keep them interested. Usmonov Giyosiddin Murotjonovich "Suggestions for Developing Creative Writing Skills in EFL Students" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49987.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/49987/suggestions-for-developing-creative-writing-skills-in-efl-students/usmonov-giyosiddin-murotjonovich
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| Translation in Non Philological Institutions and its Problems | | Author : Makhliyo Azodova Nematjon Qizi | Komola Khikmatullayeva Shukurovna | | Abstract | Full Text | Abstract :Strategy in synchronous translation is a way of performing translation tasks the cultural and personal characteristics of the speaker, the level of the language, and the language sender, including subcategories and subcategories communicating their communicative purpose adequately from the original language to the translation language giving. Makhliyo Azodova Nematjon Qizi | Komola Khikmatullayeva Shukurovna "Translation in Non-Philological Institutions and its Problems" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49993.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/49993/translation-in-nonphilological-institutions-and-its-problems/makhliyo-azodova-nematjon-qizi
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| Methods for Performing Language Compressions | | Author : Dilafruz Javliyeva Rustam Qizi | | Abstract | Full Text | Abstract :This article analyzes the multifunctionality of the language of mass communication. It is the language of different social and cultural strata. Speech heard on the radio or on the screen often approaches speech that is simple, used in everyday life. As a result, the language of communication becomes richer and more diverse. Dilafruz Javliyeva Rustam Qizi "Methods for Performing Language Compressions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49988.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/49988/methods-for-performing-language-compressions/dilafruz-javliyeva-rustam-qizi
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| Verbalization of the Lingua Cultural Concept “Happiness” by Means of Phraseological Units, Sayings and Proverbs in English | | Author : Khakimova Mastura Fayzillaevna | | Abstract | Full Text | Abstract :The concept “Happiness” can be verbalized by other linguistic units such as phraseological units, sayings and proverbs. The words “Happiness” and “Happy” are emotive words which people feel, think and talk about it. All these phraseological units, sayings and proverbs came into being according to the people’s feelings and experience, customs and traditions of one or another country. Khakimova Mastura Fayzillaevna "Verbalization of the Lingua-Cultural Concept “Happiness” by Means of Phraseological Units, Sayings and Proverbs in English" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49990.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/49990/verbalization-of-the-linguacultural-concept-“happiness”-by-means-of-phraseological-units-sayings-and-proverbs-in-english/khakimova-mastura-fayzillaevna
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| Problems of Mastering Reading Techniques in English at School | | Author : Mirzaeva Nasiba Jalolovna | | Abstract | Full Text | Abstract :In the article there is considered about experience in learning to read in English at school. The work on the formation and development of reading skills and abilities goes through several stages, each of which is aimed at solving a specific problem. Learning to read consists of two main components learning the technique of dynamic reading and learning to understand what is being read. Mastering the technique of reading in English at the initial stage is an independent problem. That is why we pay special attention to the formation of this skill in the process of learning to read. Mirzaeva Nasiba Jalolovna "Problems of Mastering Reading Techniques in English at School" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49994.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/49994/problems-of-mastering-reading-techniques-in-english-at-school/mirzaeva-nasiba-jalolovna
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| Selection of Composition of Decorative Dry Mixtures and Study of Their Rheological Properties | | Author : Urinbek Turgunbaev | Murtozoev Eshmurod | | Abstract | Full Text | Abstract :The use of dry building mixes DBM in the performance of masonry, finishing and installation work significantly improves the quality and productivity of labor, ensures high performance characteristics of the finished product.The variety of consumer properties of such mixtures determines the need to use a complex of modifying additives for various purposes 3,13,14 . The use of imported additives in the composition of dry building mixtures leads to a significant increase in their cost. The use of local import substituting, competitive in terms of properties additives in building mixtures is an important national economic task 8 . Urinbek Turgunbaev | Murtozoev Eshmurod "Selection of Composition of Decorative Dry Mixtures and Study of Their Rheological Properties" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd50005.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/50005/selection-of-composition-of-decorative-dry-mixtures-and-study-of-their-rheological-properties/urinbek-turgunbaev
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| Modern Methods of Teaching | | Author : Kiyassova Kaliya Kuralbayevna | Ainabekova Tengegul Abdikadirovna | Dildabekova Anar Kulbaevna | | Abstract | Full Text | Abstract :In this article you will learn about the importance of modern method types and their definitions and of course their effectiveness. In addition, the advantages of time based methods are highlighted, as well as their application in practice. Kiyassova Kaliya Kuralbayevna | Ainabekova Tengegul Abdikadirovna | Dildabekova Anar Kulbaevna "Modern Methods of Teaching" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49995.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/49995/modern-methods-of-teaching/kiyassova-kaliya-kuralbayevna
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| Analysis of Foreign Language Teaching in Inclusive Education in Institutions | | Author : Toshmurodova Mukhabbat Nazaralievna | Bekmuratova Shohsanam Muxtorbek Qizi | | Abstract | Full Text | Abstract :Teaching foreign languages in inclusive education in higher education institutions, is becoming one of the most pressing issues of today. An inclusive education system is being introduced in the system of non philological educational institutions in order to introduce inclusive education. At present, the level of development of students knowledge in the Republic, the opportunities, features and special attention to the teaching of foreign languages is developing day by day. Toshmurodova Mukhabbat Nazaralievna | Bekmuratova Shohsanam Muxtorbek Qizi "Analysis of Foreign Language Teaching in Inclusive Education in Institutions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd50000.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/50000/analysis-of-foreign-language-teaching-in-inclusive-education-in-institutions/toshmurodova-mukhabbat-nazaralievna
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| Translations of Words and Phrases Related to the Homeland | | Author : Nurmatov Yorkin Irkinovich | Ernazarov Fakhritdin Tulkunovich | | Abstract | Full Text | Abstract :Homeland words and phrases to teach in English are traditionally divided into radio, television, newspaper and the Internet texts. Since media didactics is the part of general didactics, media texts can be one of the teaching aids of foreign language teaching within the courses “Integrated skills”, “Listening and speaking”, “Reading and writing”, which aim at developing students language, speech, sociocultural and multicultural competences of a foreign language acquisition within a specific topic. Nurmatov Yorkin Irkinovich | Ernazarov Fakhritdin Tulkunovich "Translations of Words and Phrases Related to the Homeland" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49996.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/other/49996/translations-of-words-and-phrases-related-to-the-homeland/nurmatov-yorkin-irkinovich
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| History of the Chigatay Nation in Arabic Sources | | Author : Sandjar Bekmuradov Tursunmamatovich | | Abstract | Full Text | Abstract :This article is devoted to the historiography of the Mongols, or rather, the Chagatai people in the Arabic sources of the XIII XV centuries. The peculiarity of this is that, unlike the Persian authors who served the Mongols, the Arab historians, travelers and especially the Mamluks of the Mamluk period wrote reliable information based on the historical documents available to their contemporaries and intellectuals and their interactions with the Mongols. Sandjar Bekmuradov Tursunmamatovich "History of the Chigatay Nation in Arabic Sources" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49998.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/history/49998/history-of-the-chigatay-nation-in-arabic-sources/sandjar-bekmuradov-tursunmamatovich
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| The Poetic Skills of A. Navoi | | Author : Jumayeva Shahrigul | | Abstract | Full Text | Abstract :In this verse of Hazrat Navoi praises many qualities of Allah kindness, power, forgiveness, mercy. The verse is also remarkably artistic. In the course of the analysis, we came across many unique and beautiful examples of art, including tasbeh, tanosub, tazod, rhymes. Like other works of Navoi, this verse has passed through the centuries and has not lost its value to this day. Jumayeva Shahrigul "The Poetic Skills of A. Navoi" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49999.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/literature/49999/the-poetic-skills-of-a-navoi/jumayeva-shahrigul
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| Interference as One of the Urgent Problems of Translation | | Author : Turayeva Muborak Abdukhamidovna | | Abstract | Full Text | Abstract :The article deals with understanding what lexical interference is in translation, studying the causes of lexical interference and establishing ways to reduce the influence of lexical interference. Interference is considered as a foreign language accent in the speech of a person who speaks two languages, it can be stable as a characteristic of speech and transient as a feature of someones dialect . Turayeva Muborak Abdukhamidovna "Interference as One of the Urgent Problems of Translation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd50002.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/50002/interference-as-one-of-the-urgent-problems-of-translation/turayeva-muborak-abdukhamidovna
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| System Relationships of Complex Subject Sentences with Suddendent Definites in English, XVI Century | | Author : Galiya Gazizovna Musina | | Abstract | Full Text | Abstract :This article is devoted to the study of the systemic relations of complex sentences with attributive clauses in the English language of the 16th century. The reason for addressing this problem is the little study of the system of complex sentences of this period. Researchers of written monuments of the New English period note that the language of this period is little studied, especially works belonging to such genres as prose, drama, private letters, pilgrimage materials, travel descriptions, etc. Galiya Gazizovna Musina "System Relationships of Complex Subject Sentences with Suddendent Definites in English, XVI Century" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd50004.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/50004/system-relationships-of-complex-subject-sentences-with-suddendent-definites-in-english-xvi-century/galiya-gazizovna-musina
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| Improving Sportsmanship | | Author : Amanturdiev Bakhtiyor | | Abstract | Full Text | Abstract :The theory of basic psychological needs refers to three fundamental needs autonomy, competence, and relatedness. The need for autonomy is satisfied when a person feels in control of his own actions the need for competence is satisfied when a person realizes that he successfully masters the environment and interactions, and the need for relationships is satisfied when a person feels connected with others, feels understood and can understand those around him. Meeting the three basic psychological needs is essential for human development and functioning. Amanturdiev Bakhtiyor "Improving Sportsmanship" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd51857.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/51857/improving-sportsmanship/amanturdiev-bakhtiyor
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| Assessment of the Condition of Intermediate Rail Fasteners by Diagnostic Tools | | Author : Lesov Kuvandik | Halfin Gali-Askar | | Abstract | Full Text | Abstract :The article presents the design of the developed diagnostic tool DS F01 for measuring the pressing force of the Pandrol Fastclip fastening terminal on the rail, as well as a special calibration stand ST F03 for verification and calibration of the diagnostic tool DS F01. The developed diagnostic tool is used to predict the reliability of the track structure and improve the safety of train traffic. Lesov Kuvandik | Halfin Gali-Askar "Assessment of the Condition of Intermediate Rail Fasteners by Diagnostic Tools" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd50006.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/50006/assessment-of-the-condition-of-intermediate-rail-fasteners-by-diagnostic-tools/lesov-kuvandik
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| The Influence of Multilingualism in Learning a New Language | | Author : Oripova Shoira Zoirjon Qizi | Ashurali Mirzayev Bakhtiyor O`G`Ii | | Abstract | Full Text | Abstract :Bilingualism Ability to speak two languages. It may be acquired early by children in regions where most adults speak two languages. In this paper, the reasons for the origin of bilingualism, how ancient and modern people use bilingualism, and the negative consequences of not developing this language in children are analyzed based on empirical studies. According to the research conducted with a few bilingual and multilingual students, there are mainly four aspects of being monolingual speaker and natural and artificial way of being multilingual speaker. Oripova Shoira Zoirjon Qizi | Ashurali Mirzayev Bakhtiyor O`G`Ii "The Influence of Multilingualism in Learning a New Language" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd50027.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/50027/the-influence-of-multilingualism-in-learning-a-new-language/oripova-shoira-zoirjon-qizi
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| The Role of the Authors Phraseology in Uzbek and English Literary Genres | | Author : Sattarova Nasiba Azamatovna | | Abstract | Full Text | Abstract :Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd51859.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/51859/the-role-of-the-authors-phraseology-in-uzbek-and-english-literary-genres/sattarova-nasiba-azamatovna
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| Public Control over the Activities of Public Authorities by Civil Society Institutions Foreign Experience | | Author : Norkulov Ubaydulla Umarovich | | Abstract | Full Text | Abstract :This article examines foreign experience in public control over the activities of civil society by civil society institutions. Norkulov Ubaydulla Umarovich "Public Control over the Activities of Public Authorities by Civil Society Institutions: Foreign Experience" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd50028.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/50028/public-control-over-the-activities-of-public-authorities-by-civil-society-institutions-foreign-experience/norkulov-ubaydulla-umarovich
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| Economy of Uzbekistan Today | | Author : Boymatov Xoliyor Qurbonovich | | Abstract | Full Text | Abstract :Uzbekistan is among the world’s leading cotton producers. It is known for its orchards and vineyards and is also important for raising Karakul sheep and silkworms. Uzbekistan’s mineral and oil and gas reserves are substantial. The country produces and exports a large volume of natural gas. Boymatov Xoliyor Qurbonovich "Economy of Uzbekistan Today" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd51989.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/economics/51989/economy-of-uzbekistan-today/boymatov-xoliyor-qurbonovich
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| Socio Historical Development of National Historical Consciousness and Memory | | Author : B. P. Jumaev | | Abstract | Full Text | Abstract :This article provides a scientific analysis of the socio historical development of national consciousness and memory, their interrelationships. The genesis of mankind, the stages of development, the evolutionary connection between them, the connection of national historical consciousness and memory with the character and mentality of the Uzbek people. B. P. Jumaev "Socio-Historical Development of National Historical Consciousness and Memory" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd50135.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/history/50135/sociohistorical-development-of-national-historical-consciousness-and-memory/b-p-jumaev
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| Some Issues of Improving the Teaching of Geometry at School | | Author : Mamashukurova Komila Soatovna | Shodieva Karomat Qurbonqulovna | | Abstract | Full Text | Abstract :The article deals with some issues of teaching geometry in general secondary schools, the peculiarities of the use of pedagogical technologies. The article also discusses the formation of students ability to independently prove geometric theorems, directing them to the skills of theoretical, practical, logical, inductive and deductive reasoning, improving the quality of knowledge, makes recommendations. Mamashukurova Komila Soatovna | Shodieva Karomat Qurbonqulovna "Some Issues of Improving the Teaching of Geometry at School" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd50252.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/50252/some-issues-of-improving-the-teaching-of-geometry-at-school/mamashukurova-komila-soatovna
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| The Use of Labor of Prisoners of War in Turkestan 1914 1915 | | Author : Khasanova Zulhumor Jalolitdinovna | | Abstract | Full Text | Abstract :This article provides information on the use of the labor of prisoners of war who arrived in the Turkestan Territory. Khasanova Zulhumor Jalolitdinovna "The Use of Labor of Prisoners of War in Turkestan (1914-1915)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd50360.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/50360/the-use-of-labor-of-prisoners-of-war-in-turkestan-19141915/khasanova-zulhumor-jalolitdinovna
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| Lison ut tayr is a Journey to Self on the Way to Understanding the Essence | | Author : Bahronova Dilnora Alisher Qizi | | Abstract | Full Text | Abstract :This article is written in response to Farididdin Attors Mantiq ut tayr and comments on the equestrian epic Lison ut tayr , one of Alisher Navois masterpieces. It reveals the meaning of mystical symbols and terms, as well as the main content of the work. Bahronova Dilnora Alisher Qizi ""Lison ut-tayr" is a Journey to Self on the Way to Understanding the Essence" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd50420.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/50420/lison-uttayr-is-a-journey-to-self-on-the-way-to-understanding-the-essence/bahronova-dilnora-alisher-qizi
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| Ancient Turkish Civilization | | Author : Bakiev Sherkhon Ubaydullo O’g’li | Ziyatov Shohzod Iso O’g’li | | Abstract | Full Text | Abstract :This article discusses the importance of studying the history of ancient Turkish civilization and interpreting its essence today. Historians and archaeologists cite examples from the works of Turkologists and draw conclusions from them. The study of Turkish civilization, based on its historical ideas, emphasizes the aspects of raising national and all Turkish thinking and ensuring mutual understanding. There is also talk of studying the history of Turkish civilization and applying its past. Bakiev Sherkhon Ubaydullo O’g’li | Ziyatov Shohzod Iso O’g’li "Ancient Turkish Civilization" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd50494.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/50494/ancient-turkish-civilization/bakiev-sherkhon-ubaydullo-o’g’li
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| The Role of Metaphor in the Lyrics of Mukhammadyusuf | | Author : Hamidova Gulchekhra Foxiljonovna | | Abstract | Full Text | Abstract :Mukhammadyusuf became known first of all for his poems, songs, which he described in verses where the pain of the people was expressed by as far as, the love of the country was not like anyone else, he gained fame. El received his love. In the early periods of independence, we will not give you to anyone, Uzbekistan , fell into the field of struggle, sang as far as independence the life path, creativity and intense social activity of Muhammadyusuf, a creative person with an awake conscience, serve as an instructive school for our youth. This article discusses the role of metaphor in the lyrics of Mukhammadyusuf. Hamidova Gulchekhra Foxiljonovna "The Role of Metaphor in the Lyrics of Mukhammadyusuf" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd50608.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/literature/50608/the-role-of-metaphor-in-the-lyrics-of-mukhammadyusuf/hamidova-gulchekhra-foxiljonovna
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| The Role of Sport in the Physical Education of Youth in Uzbekistan | | Author : Boltaev Sunnat Baxtiyor O’g’li | | Abstract | Full Text | Abstract :This article provides information about the role of sports in the education of the younger generation in Uzbekistan and reforms in the field of physical culture and sports. Boltaev Sunnat Baxtiyor O’g’li "The Role of Sport in the Physical Education of Youth in Uzbekistan" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd50624.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/50624/the-role-of-sport-in-the-physical-education-of-youth-in-uzbekistan/boltaev-sunnat-baxtiyor-o’g’li
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| Blockchain Technology Boosts in Economy and Other Networks | | Author : Giyazova Nozima Bayazovna | Khalilov Bakhrom Bakhodirovich | | Abstract | Full Text | Abstract :This article highlights the importance of blockchain and its role in the economy. Blockchain networks are just storage and communication protocols. Each of them has a community, history, and culture that is worth protecting. Some of the communities are more focused on the creation of ‘sound money’ alternatives to the current fiat systems. Others are striving relentlessly to maximize raw computing power and storage capacity. Giyazova Nozima Bayazovna | Khalilov Bakhrom Bakhodirovich "Blockchain Technology Boosts in Economy and Other Networks" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd50655.pdf Paper URL: https://www.ijtsrd.com/economics/other/50655/blockchain-technology-boosts-in-economy-and-other-networks/giyazova-nozima-bayazovna
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| Chekhovs Traditions in the Dramaturgy of A. Vampilov | | Author : Tursunova Rakhshona Nusratilloevna | | Abstract | Full Text | Abstract :Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd51980.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/literature/51980/chekhovs-traditions-in-the-dramaturgy-of-a-vampilov/tursunova-rakhshona-nusratilloevna
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| Agricultural System of Uzbekistan | | Author : Torayev Erkin Eshkabilovich | | Abstract | Full Text | Abstract :Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd51986.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/51986/agricultural-system-of-uzbekistan/torayev-erkin-eshkabilovich
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| Analysis of Brain Poisoning with Amlodipine in Forensic Chemistry | | Author : Feruza Sodiqovna Jalilova | | Abstract | Full Text | Abstract :In the practice of forensic chemical examination, an analysis of the brain poisoned with amlodipine was developed. Amlodipine is a 2nd generation calcium channel blocker with antianginal and hypotensive effects. The drug is a mixture of stereoisomers. In the practice of forensic chemical examination, such a method for isolating amlodipine from biological organs as thin layer chromatography TLC has been studied. The developed method is recommended for the analysis of amlodipine in a biological object. Feruza Sodiqovna Jalilova "Analysis of Brain Poisoning with Amlodipine in Forensic Chemistry" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd50631.pdf Paper URL: https://www.ijtsrd.com/chemistry/other/50631/analysis-of-brain-poisoning-with-amlodipine-in-forensic-chemistry/feruza-sodiqovna-jalilova
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| Main Issues of the Fight against Drug Addiction | | Author : Ro‘ziyev Bunyod Shermuratovich | | Abstract | Full Text | Abstract :today, in our society, special attention is being paid to the Republic of Uzbekistans full fulfillment of its obligations to the international community in the fight against the illegal circulation of drugs. In this article, drug addiction, its negative consequences, strong legal frameworks developed in our country to combat drug addiction are described in detail. Ro‘ziyev Bunyod Shermuratovich "Main Issues of the Fight against Drug Addiction" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd50632.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/50632/main-issues-of-the-fight-against-drug-addiction/ro‘ziyev-bunyod-shermuratovich
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| Prospective Directions for Tourism Revival in Uzbekistan in the Post Pandemic Period | | Author : Abdullayeva Khilola Nutfilloyevna | Kudratov Muhammad Rustamovich | | Abstract | Full Text | Abstract :This article talks about the impact of Covid 19 on tourism and its current state. After the pandemic period, the work done by the state in revitalizing tourism in the Republic and developing this sector was analyzed. In recent years, work on the development of the legislative base in the field of tourism, the infrastructure of transport, hotels, recreation and sports facilities, recreation facilities, historical monuments and objects of cultural normalization, development of relations with foreign countries, simplification of visa procedures, training of personnel, restoration of tourist infrastructure facilities has been accelerated. Abdullayeva Khilola Nutfilloyevna | Kudratov Muhammad Rustamovich "Prospective Directions for Tourism Revival in Uzbekistan in the Post-Pandemic Period" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd50650.pdf Paper URL: https://www.ijtsrd.com/economics/other/50650/prospective-directions-for-tourism-revival-in-uzbekistan-in-the-postpandemic-period/abdullayeva-khilola-nutfilloyevna
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| Analysis of Technical Literature Allowing Determining Effective Areas of Use of Metal Fibers as Dispersed Reinforcement | | Author : Obidjonov Jahongir Tokhir Ogli | Rakhimov Shavkat Turdimurotovich | | Abstract | Full Text | Abstract :Modern construction is directly related to the tasks of increasing the efficiency of construction production, reducing the cost and labor costs of technological processes, rational use of material and energy resources, the use of new progressive materials. Dispersion reinforced concrete is one of the most promising structural materials. Such concretes are one of the types of a wide class of composite materials that are increasingly used in various industries today. Dispersion reinforcement is carried out by fibers fibers evenly distributed over the volume of the concrete matrix. 1 . Obidjonov Jahongir Tokhir Ogli | Rakhimov Shavkat Turdimurotovich "Analysis of Technical Literature Allowing Determining Effective Areas of Use of Metal Fibers as Dispersed Reinforcement" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd51858.pdf Paper URL: https://www.ijtsrd.com/engineering/civil-engineering/51858/analysis-of-technical-literature-allowing-determining-effective-areas-of-use-of-metal-fibers-as-dispersed-reinforcement/obidjonov-jahongir-tokhir-ogli
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| Intern?ti?n?l ?ppr??ch to Develop Financial Resources The Experience of King ?bdul?ziz University | | Author : Davlatov Sukhrob Sayitjonovich | Nekova Fatima Barisovna | | Abstract | Full Text | Abstract :Financial institutions for development play a major role in the recovery of COVID 19. But for development finance to be truly effective, it must go beyond a simple deal culture and be integrated in more comprehensive approaches, combined with other development cooperation instruments and modalities, including policy and multi stakeholder dialogues, and anchored in local dynamics and realities. How can development finance best be integrated into recovery efforts by local actors and donors How can it contribute to sustainable and inclusive economic transformation Davlatov Sukhrob Sayitjonovich | Nekova Fatima Barisovna "Intern?ti?n?l ?ppr??ch to Develop Financial Resources: The Experience of King ?bdul?ziz University" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd50651.pdf Paper URL: https://www.ijtsrd.com/management/accounting-and-finance/50651/intern?ti?n?l-?ppr??ch-to-develop-financial-resources-the-experience-of-king-?bdul?ziz-university/davlatov-sukhrob-sayitjonovich
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| Financial Problems of Students in Higher Education Institutions | | Author : Davlatov Sukhrob Sayitjonovich | Nekova Fatima Barisovna | | Abstract | Full Text | Abstract :This study aims to identify the financial problems faced by students in Higher Education Institutions HEIs . This study uses questionnaires as an instrument for data collection method. A total of 480 samples among the undergraduates in HEIs responded to the questionnaires. Data were analyzed using descriptive statistics. The results showed that the majority of respondents suffered from financial problems because of their limited financial resources and were faced with high cost of living. Their spending levels were still in control and within the boundaries of being a student. Sound financial management will have a positive impact on the financial health of the students on campus. Davlatov Sukhrob Sayitjonovich | Nekova Fatima Barisovna "Financial Problems of Students in Higher Education Institutions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd50652.pdf Paper URL: https://www.ijtsrd.com/economics/other/50652/financial-problems-of-students-in-higher-education-institutions/davlatov-sukhrob-sayitjonovich
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| Development of Digital Economy in Uzbekistan | | Author : Boltayeva Shakhnoza Bebudovna | Sanokulova Nafisa Shuhratjonovna | Baxshullayeva Dilrabo Baxodirovna | | Abstract | Full Text | Abstract :This article discusses the issues that underlie the digital economy, and the development of a mechanism for the transition to a digital economy in Uzbekistan. In the future of modern development, Big Data, artificial intelligence, neuro technology, quantum technology, Internet of Things, robotics and sensory, digital electronic platforms, cloud and mobile technologies, virtual and augmented reality technologies, digital technologies such as crowdsourcing, block chain technology, crypto currencies and ICO, 3D technology are playing a crucial role. Boltayeva Shakhnoza Bebudovna | Sanokulova Nafisa Shuhratjonovna | Baxshullayeva Dilrabo Baxodirovna "Development of Digital Economy in Uzbekistan" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd50653.pdf Paper URL: https://www.ijtsrd.com/economics/other/50653/development-of-digital-economy-in-uzbekistan/boltayeva-shakhnoza-bebudovna
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| The Role of Pedagogical Technologies in the Development of Russian Connected Speech | | Author : Bozorova Hulkar | | Abstract | Full Text | Abstract :This article deals with the role of pedagogical technologies in the development of Russian speech. Information technologies enrich the educational process in many areas of knowledge, in a wide variety of learning environments and at all levels. This fully applies to teaching foreign languages, especially abroad, where direct contact with the target language is limited. Bozorova Hulkar "The Role of Pedagogical Technologies in the Development of Russian Connected Speech" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd51856.pdf Paper URL: https://www.ijtsrd.com/computer-science/computer-network/51856/the-role-of-pedagogical-technologies-in-the-development-of-russian-connected-speech/bozorova-hulkar
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| International Cooperation in Personnel Training, Formation and Development of “Bioeconomics” in Uzbekistan | | Author : Oripov M. A. | | Abstract | Full Text | Abstract :The current stage of development of the world community is characterized by the increasing role of education, which is gradually becoming one of the most important mechanisms for maintaining the competitiveness of various countries and gaining leading positions in world markets. The article is devoted to the peculiarities of international cooperation in personnel training, formation and development of “Bioeconomics” in Uzbekistan in the context of existing global integration processes at the present stage. Oripov M. A. "International Cooperation in Personnel Training, Formation and Development of “Bioeconomics” in Uzbekistan" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd50654.pdf Paper URL: https://www.ijtsrd.com/economics/other/50654/international-cooperation-in-personnel-training-formation-and-development-of-“bioeconomics”-in-uzbekistan/oripov-m-a
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| Interpretation of Environmental Problems in Erkin Azam’s Drama “Lonely Boat” | | Author : Nazarov O’ktam Jo’rayevich | | Abstract | Full Text | Abstract :This article analyzes Aral Grandpa’s belief that regardless of what everyone does in this world, his life in this world will not be wasted if he is completely purified before God. Nazarov O’ktam Jo’rayevich "Interpretation of Environmental Problems in Erkin Azam’s Drama “Lonely Boat”" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd51726.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/51726/interpretation-of-environmental-problems-in-erkin-azam’s-drama-“lonely-boat”/nazarov-o’ktam-jo’rayevich
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| Image as a Literary Category | | Author : Abdumuminova Rukhayo Shavkatovna | | Abstract | Full Text | Abstract :The artistic image is one of the key concepts in those areas of literary criticism that proceed from the aesthetic nature of art. Meanwhile, in the definition and application of the concept, there is a lot of obscure, debatable. A literary work appears to the reader as a text, in a linear sequence of linguistic signs, but images appear behind words, sentences why always what are the criteria for their selection This range of issues is discussed in this article. But first, let us recall the provisions that, apparently, can be considered generally accepted in the theory of the image. Abdumuminova Rukhayo Shavkatovna "Image as a Literary Category" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd51809.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/literature/51809/image-as-a-literary-category/abdumuminova-rukhayo-shavkatovna
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| Comparison of Taboos and Euphemisms of Russian, Uzbek and German Languages | | Author : Sakbaeva Muhabbat | | Abstract | Full Text | Abstract :An extensive literature is devoted to the issues of taboo and euphemism, in which the problems associated with these phenomena are considered in various aspects and on the basis of various languages. These studies are rooted in ancient theories of language and style and reflect the diversity of trends and methods existing in modern linguistics. The subject of synchronic and diachronic studies were the causes and types of tabooing, sociolinguistic and proper linguistic parameters of euphemisms, including their thematic, semantic and structural characteristics. The scope of the use of euphemisms, their functioning, the influence of their use on the semantic and stylistic changes taking place in the language were studied. Sakbaeva Muhabbat "Comparison of Taboos and Euphemisms of Russian, Uzbek and German Languages" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd51981.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/51981/comparison-of-taboos-and-euphemisms-of-russian-uzbek-and-german-languages/sakbaeva-muhabbat
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| Level of Knowledge and Skills about Bronchial Asthma in Nursing Practice | | Author : Salikhodjaeva R. K. | Alikulova D. Ya. | Avezova G. S. | | Abstract | Full Text | Abstract :One of the urgent problems of today is the prevention of bronchial asthma, which requires the equal participation of doctors and nurses in the care and treatment of patients. Asthma cannot be completely cured, but in the process of diagnosis and treatment, it is possible to control the disease, thereby prolonging the patients life and returning to work faster, and in this process, the nursing approach plays an important role. The article analyzes the knowledge, qualifications and skills of nurses about bronchial asthma. Salikhodjaeva R. K. | Alikulova D. Ya. | Avezova G. S. "Level of Knowledge and Skills about Bronchial Asthma in Nursing Practice" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd51810.pdf Paper URL: https://www.ijtsrd.com/medicine/nursing/51810/level-of-knowledge-and-skills-about-bronchial-asthma-in-nursing-practice/salikhodjaeva-r-k
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| Postnatal Ontogeny of Offspring Kidney in Conditions of Chronic Poisoning of the Maternal Organism | | Author : Chorieva Zulfiya Yusupovna | | Abstract | Full Text | Abstract :The kidney Latin ren, Greek nephrous is a paired right and left bean shaped organs with flattened front and back sides, weighing 140 150 g in middle aged people. The kidney is located on both sides of the body of I II lumbar vertebrae, on the back side of the abdominal cavity, in contact with the muscle and diaphragm. The peritoneum covers the kidney only in front. Since the liver is located on the upper right side of the abdomen, the right kidney is located below the left. The upper end of the left kidney corresponds to the gap between the II and III lumbar vertebrae. Chorieva Zulfiya Yusupovna "Postnatal Ontogeny of Offspring Kidney in Conditions of Chronic Poisoning of the Maternal Organism" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd51855.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/51855/postnatal-ontogeny-of-offspring-kidney-in-conditions-of-chronic-poisoning-of-the-maternal-organism/chorieva-zulfiya-yusupovna
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| Translation Problems of Children’s Literature | | Author : Kabulova Guzal | | Abstract | Full Text | Abstract :ere is an increasing demand for translation of children’s literature nowadays and this demand is accompanied by an increased need for the researchers to study the nature and feature of such a discipline. It is worth mentioning that the word “children’s literature” in English speaking countries is a broader term covering children, adolescents and sometimes young adults. The present paper aims to highlight some comprehensive theoretical aspects concerning children’s literature translation. Special attention is paid to the issues which have generated lots of intense and ongoing debates among theoreticians as to which translation strategies and procedures would be more beneficial to the target language child reader. Before elaborating on such issues, this paper casts some light on the various definitions of children’s literature and its characteristics, its status and the role it exerts on the potential readership. Ambivalence of children’s literature – the texts being addressed to both children and adults – constitutes one of the biggest challenges for the author and the translator of children’s literature alike. Such a phenomenon is investigated in this paper illustrated with some book titles. Another feature which is tackled in this paper is that of asymmetry, which refers to the unequal communication levels between adults and children. Finally, conclusions will be drawn regarding to most popular theoretical trends of children’s literature and children’s literature translation. Kabulova Guzal "Translation Problems of Children’s Literature" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd51943.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/51943/translation-problems-of-children’s-literature/kabulova-guzal
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| Modern Methods in the Field of Medicine | | Author : Yarmukhamedova Mahbuba Kudratovna | Ergasheva Munisa Yakubovna | Khasanova Dilfuza Abdukhamidovna | | Abstract | Full Text | Abstract :Education is a dynamic process that has to be refined periodically. Lack of innovative teaching techniques in academics makes medical curricula inadequate in making a significant stride towards the future. The objective of this review is to describe and assess alternative methods of teaching and learning which can be supplementive or alternative to traditional lectures for promoting active student participation and smooth flow of information. Yarmukhamedova Mahbuba Kudratovna | Ergasheva Munisa Yakubovna | Khasanova Dilfuza Abdukhamidovna "Modern Methods in the Field of Medicine" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd51944.pdf Paper URL: https://www.ijtsrd.com/medicine/other/51944/modern-methods-in-the-field-of-medicine/yarmukhamedova-mahbuba-kudratovna
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| Teaching Vocabulary through Reading in Teaching English at Different Levels | | Author : Kabulova Guzal | | Abstract | Full Text | Abstract :Teaching vocabulary at the intermediate B1 level is a difficult task because students require more attention than their enthusiasm for learning. According to the CEFR, B1 level candidates in ESL learning i.e., intermediate independent users of the target language are required to understand the key point of straightforward, normal feedback on familiar matters experienced on a daily basis at work, education, etc. Additionally, they are required to be in a situation to manage most circumstances prone to emerge when they are utilizing the objective language at home or abroad, in different social settings. They can create a straightforward intelligible book on subjects of individual or social interest and they can depict encounters and occasions, dreams, expectations, and aspirations and momentarily offer reasons and clarifications for thoughts and plans. Kabulova Guzal "Teaching Vocabulary through Reading in Teaching English at Different Levels" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd51945.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/51945/teaching-vocabulary-through-reading-in-teaching-english-at-different-levels/kabulova-guzal
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| Uzbekistans Climate Change Infrastructure Impact on Roads and Bridges | | Author : Mominov Qurban Ochilovich | Yadgarov Sirojiddin Nomozovich | | Abstract | Full Text | Abstract : Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd51987.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/51987/uzbekistans-climate-change-infrastructure-impact-on-roads-and-bridges/mominov-qurban-ochilovich
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| Mentality in Media Linguistic Landscape Axiological Aspect | | Author : Mamaraimova Ògiloy Tajimuradovna | | Abstract | Full Text | Abstract :The paper examines the axiological aspects of the evaluative component coded in each national language and represented by different means of language at a derivative and lexical level by means of self explanatory lexemes with implicitly put in intrinsic evaluative semantics, by means of lexemes, pertaining to one and the same synonymic row, by means of word combinations free and phraseological ones. The mechanism of expressing assessment in language good bad neutral is presented it is based on the axiological triad good evil nature and represents the approach of juxtaposing in the human consciousness of the properties and qualities of objects and phenomena with the generally accepted norm. The deviations from the norm are axiologically marked and identify the national specific features presented at the linguistic level. Mamaraimova Ògiloy Tajimuradovna "Mentality in Media Linguistic Landscape: Axiological Aspect" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd51946.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/other/51946/mentality-in-media-linguistic-landscape-axiological-aspect/mamaraimova-ògiloy-tajimuradovna
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| The Importance of Using the Comparative Method in Increasing the Effectiveness of the Lesson and the Methods of Forming Language Competence in Students | | Author : Nuriddinova Azizakhan Bahromjon’s | | Abstract | Full Text | Abstract :This article discusses the role of the comparative method of improving the effectiveness of the lesson. It analyzes the application of the comparative method in formulation of language competencies in students. Nuriddinova Azizakhan Bahromjon’s "The Importance of Using the Comparative Method in Increasing the Effectiveness of the Lesson and the Methods of Forming Language Competence in Students" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd51947.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/51947/the-importance-of-using-the-comparative-method-in-increasing-the-effectiveness-of-the-lesson-and-the-methods-of-forming-language-competence-in-students/nuriddinova-azizakhan-bahromjon’s
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| Methods of Studying the Characteristics of the Figure of I in Adolescence | | Author : DoSjonova Nilufar Rustam Qizi | | Abstract | Full Text | Abstract :First of all, the article provides a brief understanding of the adolescent period, and most importantly, extensive information about the transact analysis of T. Leary Sobchik and E. Bern, among the psychodiagnostic methods used to determine the figure of I in adolescence. In conclusion, you can get interesting information about what changes happen in a child during adolescence. Do`Sjonova Nilufar Rustam Qizi "Methods of Studying the Characteristics of the Figure of "I" in Adolescence" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd51982.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/51982/methods-of-studying-the-characteristics-of-the-figure-of-i-in-adolescence/do`sjonova-nilufar-rustam-qizi
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| Language and Society A Classification of Sociolinguistic Factors | | Author : Savenko Olesya Viktorovna | | Abstract | Full Text | Abstract :The structural organization of language is the materialization of the social. Lexical, grammatical, ideological, cognitive and functional act in the language as specific manifestations of the social. In this regard, a correct understanding of the social essence of the language is of decisive importance a for the knowledge of the laws of historical development, functioning and interaction of different languages b to understand the influence of society and the individual on the language c to understand the role of language in the life of society and the individual d to understand the role of language in the development of human society in the past, present and future. Savenko Olesya Viktorovna "Language and Society: A Classification of Sociolinguistic Factors" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd51991.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/51991/language-and-society-a-classification-of-sociolinguistic-factors/savenko-olesya-viktorovna
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| Practical Lessons on the Use of Interactive Methods in the Technology of Improving Foreign Language Teaching Methods in Preschool Educational | | Author : Saparova Nargisa Ergashevna | | Abstract | Full Text | Abstract :This article discusses the advantages of using modern pedagogical technologies and interactive methods in teaching foreign languages in primary school and the application of modern pedagogical technologies in education, types of new pedagogical technologies and interactive methods in teaching foreign languages in primary school. Relevant conclusions are also given at the end of the paper. Saparova Nargisa Ergashevna "Practical Lessons on the Use of Interactive Methods in the Technology of Improving Foreign Language Teaching Methods in Preschool Educational" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd51988.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/51988/practical-lessons-on-the-use-of-interactive-methods-in-the-technology-of-improving-foreign-language-teaching-methods-in-preschool-educational/saparova-nargisa-ergashevna
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| About Traditional Formulas | | Author : G. Sh. Dzhurakulova | | Abstract | Full Text | Abstract :The article deals with epic traditions of Uzbek folklore. Epic formulas of the epic, epic formulas, their refinement, and legacy of generation to generation were analyzed. The role of epic formulas in the repertoire of peoples singers has been studied. G. Sh. Dzhurakulova "About Traditional Formulas" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd51990.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/51990/about-traditional-formulas/g-sh-dzhurakulova
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| Language Means and Ways of Forming Euphemisms Russian and Uzbek Languages | | Author : Sattarova Elena Anatolievna | | Abstract | Full Text | Abstract :The article is devoted to a comparative study of linguistic means and methods of formation of euphemisms of the Russian and Uzbek languages.The presented classifications of ways of forming euphemisms of the Russian and Uzbek languages, in this article, are based on the research of leading linguists in this field of linguistics. These are semantic shifts, borrowings, synonymy, formal ways of forming euphemisms, such as word addition, affixal word formation, onomatopoeia, initial abbreviation, various stylistic tropes and figures, such as metaphorization, metonymization, periphrase, litotes, antiphrase, ellipsis, apocopy, etc. The largest layer consists of euphemisms, which are separate words. Grammatically, such parts of speech as nouns, adjectives, verbs, pronouns are euphemized syntactically, euphemisms with the structure of a phrase and sentence are distinguished. Sattarova Elena Anatolievna "Language Means and Ways of Forming Euphemisms Russian and Uzbek Languages" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd51992.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/51992/language-means-and-ways-of-forming-euphemisms-russian-and-uzbek-languages/sattarova-elena-anatolievna
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| Digital Economy and Distance Learning | | Author : Eshqobilov Axmad Javliyevich | | Abstract | Full Text | Abstract :Education is changing because the digital economy is shifting the skills and talents needed to lead a successful life and foster personal well being. Talent gaps persist and are deepening around computer science and creativity. Learners need to be cognitively adaptive, and able to constantly learn new things and apply old knowledge to new contexts. Lifelong learning is the new normal. Three major shifts in education are identified 1 changes in the funding of education 2 changes in the duration of learning and 3 changes in how we learn. Collaborations between industry, government, and education institutions will be the hallmark of education in the digital economy. Eshqobilov Axmad Javliyevich "Digital Economy and Distance Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd52041.pdf Paper URL: https://www.ijtsrd.com/economics/accounting/52041/digital-economy-and-distance-learning/eshqobilov-axmad-javliyevich
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| The Modern Paradigm of Media Language | | Author : Safarmakhmatova Zarrina Narzullaevna | | Abstract | Full Text | Abstract :This article discusses media speech in the modern linguistic paradigm, media culture, a component of mass communication. There is given information about all of them. Safarmakhmatova Zarrina Narzullaevna "The Modern Paradigm of Media Language" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd51993.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/51993/the-modern-paradigm-of-media-language/safarmakhmatova-zarrina-narzullaevna
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| Factors Affecting the Achievement of Macroeconomic Stability in Uzbekistan | | Author : Tuychiyeva Begoyim | | Abstract | Full Text | Abstract :In the following article, todays globalization trends and the analysis of the progress achieved in the more sustainable development of the country in the context of the COVID 19 pandemic and the priorities of future reforms were discussed in detail. Tuychiyeva Begoyim "Factors Affecting the Achievement of Macroeconomic Stability in Uzbekistan" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52657.pdf Paper URL: https://www.ijtsrd.com/economics/other/52657/factors-affecting-the-achievement-of-macroeconomic-stability-in-uzbekistan/tuychiyeva-begoyim
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| Markers of New Realism in Russian Literature of the First Twenty Years of the XXI Century | | Author : Amina Rustamovna Fattakhova | Olga Yurievna Starodubova | | Abstract | Full Text | Abstract :This article provides general observations related to the process of identifying the main markers of new realism in Russian literature, which become distinctive features in the modern literary process. Amina Rustamovna Fattakhova | Olga Yurievna Starodubova "Markers of New Realism in Russian Literature of the First Twenty Years of the XXI Century" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52781.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/52781/markers-of-new-realism-in-russian-literature-of-the-first-twenty-years-of-the-xxi-century/amina-rustamovna-fattakhova
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| Formation of Valeological Culture in Elementary School Students through Action Games | | Author : Khudoyberdiev Shukhrat Mamayusupovich | | Abstract | Full Text | Abstract :This article discusses healthy life style and health philosophy formation skills take over that topics, current in our day current become standing readers health issue curiosity development, great scientist Abu Ali ibn Try it medical in his works health save measures about thoughts and health philosophy formation skills take over that on the subject structured. Khudoyberdiev Shukhrat Mamayusupovich "Formation of Valeological Culture in Elementary School Students through Action Games" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd52037.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/52037/formation-of-valeological-culture-in-elementary-school-students-through-action-games/khudoyberdiev-shukhrat-mamayusupovich
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| National Values and Social Development | | Author : Mavrulova Munisa Abdukhalilovna | | Abstract | Full Text | Abstract :the article analyzes the incommensurable role of values in the understanding and preservation of the identity of each nation and people in the world, honoring their honor. At the same time, the tasks of our national values in social development, arising from thousands of years of rich history, spiritual heritage, lifestyle, life views and beliefs of our people, are analyzed. Mavrulova Munisa Abdukhalilovna "National Values and Social Development" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | International Conference of Multidisciplinary Research , September 2023, URL: https://www.ijtsrd.com/papers/ijtsrd60029.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/60029/national-values-and-social-development/mavrulova-munisa-abdukhalilovna
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| The Effectiveness of the Use of Elements Gymnastics and Rhythmic Gymnastics in the Development of Balanced Activities of Young Female Wrestlers | | Author : Xakimova Nargiza Urolovna | | Abstract | Full Text | Abstract :The basis of the technology for the formation of professional thinking of future teachers of physical education is the concept of the structural and functional relationship of all components of the educational process. Xakimova Nargiza Urolovna "The Effectiveness of the Use of Elements Gymnastics and Rhythmic Gymnastics in the Development of Balanced Activities of Young Female Wrestlers" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd52038.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/52038/the-effectiveness-of-the-use-of-elements-gymnastics-and-rhythmic-gymnastics-in-the-development-of-balanced-activities-of-young-female-wrestlers/xakimova-nargiza-urolovna
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| Use of Digital Technologies in the Training of Future Physical Culture Teachers | | Author : Salikhov Shokhrukh Mansurovich | Salikhov Timur Mansurovich | | Abstract | Full Text | Abstract :This article summarizes the role of digital technologies in the training of future physical culture teachers, the methods of digitalization of physical education, and the processes of shaping the imagination and understanding of digital technologies in the training of future teachers. Salikhov Shokhrukh Mansurovich | Salikhov Timur Mansurovich "Use of Digital Technologies in the Training of Future Physical Culture Teachers" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52138.pdf Paper URL: https://www.ijtsrd.com/physics/other/52138/use-of-digital-technologies-in-the-training-of-future-physical-culture-teachers/salikhov-shokhrukh-mansurovich
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| Digital Economy and Distance Learning | | Author : Eshqobilov Axmad Javliyevich | | Abstract | Full Text | Abstract :Education is changing because the digital economy is shifting the skills and talents needed to lead a successful life and foster personal well being. Talent gaps persist and are deepening around computer science and creativity. Learners need to be cognitively adaptive, and able to constantly learn new things and apply old knowledge to new contexts. Lifelong learning is the new normal. Three major shifts in education are identified 1 changes in the funding of education 2 changes in the duration of learning and 3 changes in how we learn. Collaborations between industry, government, and education institutions will be the hallmark of education in the digital economy. Eshqobilov Axmad Javliyevich "Digital Economy and Distance Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd52041.pdf Paper URL: https://www.ijtsrd.com/economics/accounting/52041/digital-economy-and-distance-learning/eshqobilov-axmad-javliyevich
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| Development of the Digital Economy in Uzbekistan | | Author : Boymatov Xoliyor Qurbonovich | | Abstract | Full Text | Abstract :Over the past four years, a revolution in the development of information technology has been made in Uzbekistan, which has contributed to the expansion of digitalization processes in many areas of the economy and the growth of its share, which is commonly called digital. Boymatov Xoliyor Qurbonovich "Development of the Digital Economy in Uzbekistan" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd52043.pdf Paper URL: https://www.ijtsrd.com/economics/accounting/52043/development-of-the-digital-economy-in-uzbekistan/boymatov-xoliyor-qurbonovich
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| Medicinal Uses of Herbal Plants | | Author : Dr. Sanjay Kumar Acharya | | Abstract | Full Text | Abstract :Currently, herbs are applied to the treatment of chronic and acute conditions and various ailments and problems such as cardiovascular disease, prostate problems, depression, inflammation, and to boost the immune system, to name but a few. In China, in 2003, traditional herbal medicines played a prominent role in the strategy to contain and treat severe acute respiratory syndrome SARS , and in Africa, a traditional herbal medicine, the Africa flower, has been used for decades to treat wasting symptoms associated with HIV De Smet 2005 Tilburt and Kaptchuk 2008 . Herbal medicines are also very common in Europe, with Germany and France leading in over the counter sales among European countries, and in most developed countries, one can find essential oils, herbal extracts, or herbal teas being sold in pharmacies with conventional drugs. Herbs and plants can be processed and can be taken in different ways and forms, and they include the whole herb, teas, syrup, essential oils, ointments, salves, rubs, capsules, and tablets that contain a ground or powdered form of a raw herb or its dried extract. Plants and herbs extract vary in the solvent used for extraction, temperature, and extraction time, and include alcoholic extracts tinctures , vinegars acetic acid extracts , hot water extract tisanes , long term boiled extract, usually roots or bark decoctions , and cold infusion of plants macerates . There is no standardization, and components of an herbal extract or a product are likely to vary significantly between batches and producers. Dr. Sanjay Kumar Acharya "Medicinal Uses of Herbal Plants" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Integrated Innovation on Technical Science and Economic Development , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd52068.pdf Paper URL: https://www.ijtsrd.com/biological-science/botany/52068/medicinal-uses-of-herbal-plants/dr-sanjay-kumar-acharya
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| Classification of Uzbek Childrens Folklore Games | | Author : Safarova Nigora Okhunjonovna | | Abstract | Full Text | Abstract :Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52137.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/52137/classification-of-uzbek-childrens-folklore-games/safarova-nigora-okhunjonovna
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| Managing the Participation of Culture and Art Institutions and Organizations in Cultural Activities | | Author : Saparbaeva Gulshira Abatbaevna | | Abstract | Full Text | Abstract :The article discusses the importance of managing the participation of culture and art institutions and organizations in cultural activities. Cultural and art institutions and organizations actively participate in building a new enlightened society and its development with their creative activities is the demand of the times. Saparbaeva Gulshira Abatbaevna "Managing the Participation of Culture and Art Institutions and Organizations in Cultural Activities" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | International Conference of Multidisciplinary Research , September 2023, URL: https://www.ijtsrd.com/papers/ijtsrd60026.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/other/60026/managing-the-participation-of-culture-and-art-institutions-and-organizations-in-cultural-activities/saparbaeva-gulshira-abatbaevna
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| Innovative Activity of Teacher in Primary Class | | Author : Kurbanova Shoira Narzullayevna | | Abstract | Full Text | Abstract :The article discusses the innovative activity of primary education teachers, the importance of skills in the formation of professional skills of teachers. Kurbanova Shoira Narzullayevna "Innovative Activity of Teacher in Primary Class" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52133.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/52133/innovative-activity-of-teacher-in-primary-class/kurbanova-shoira-narzullayevna
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| Organizational and Legal Foundations of Cultural Policy Management in New Uzbekistan | | Author : Yusupaliyeva Dilafruz Kaxramonovna | | Abstract | Full Text | Abstract :This article discusses the organizational and legal foundations of cultural policy management in New Uzbekistan. Cultural policy is a policy aimed at preserving the national cultural and spiritual heritage of the people, increasing the cultural level of the population, demonstrating and supporting the creative potential of young people, taking into account the growing intellectual, aesthetic and cultural needs of society. Yusupaliyeva Dilafruz Kaxramonovna "Organizational and Legal Foundations of Cultural Policy Management in New Uzbekistan" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | International Conference of Multidisciplinary Research , September 2023, URL: https://www.ijtsrd.com/papers/ijtsrd60027.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/social-science/60027/organizational-and-legal-foundations-of-cultural-policy-management-in-new-uzbekistan/yusupaliyeva-dilafruz-kaxramonovna
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| International Economic Relations | | Author : Olloboyeva Lobar Rozi Qizi | | Abstract | Full Text | Abstract :Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52130.pdf Paper URL: https://www.ijtsrd.com/economics/other/52130/international-economic-relations/olloboyeva-lobar-rozi-qizi
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| Methods of Working on Comparison Tasks in Primary Grades | | Author : Qosimova Mavluda Muhammedovna | | Abstract | Full Text | Abstract :The method of teaching elementary school students to work on creative tasks, especially on comparison tasks that teach students to think creatively, is discussed in the article. Qosimova Mavluda Muhammedovna "Methods of Working on Comparison Tasks in Primary Grades" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52131.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/52131/methods-of-working-on-comparison-tasks-in-primary-grades/qosimova-mavluda-muhammedovna
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| The Need to Study Berdaks Life and Work | | Author : Rakhimova Azizabonu Akmalovna | | Abstract | Full Text | Abstract :Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52671.pdf Paper URL: https://www.ijtsrd.com/medicine/other/52671/the-need-to-study-berdaks-life-and-work/rakhimova-azizabonu-akmalovna
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| Public Relations in the Field of Culture PR Public Relations and Advertising | | Author : Fayziyev Torabek Raufovich | | Abstract | Full Text | Abstract :This article examines the dynamics of the non existence of public relations PR public relations as a science. The role of public opinion in establishing the activities of organizations is indicated. The functions of public relations – PR are covered, such as the study of public opinion and its observation, monitoring of public movement, ensuring two way interest between the organization and the public. Fayziyev Torabek Raufovich "Public Relations in the Field of Culture - PR (Public Relations) and Advertising" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | International Conference of Multidisciplinary Research , September 2023, URL: https://www.ijtsrd.com/papers/ijtsrd60070.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/other/60070/public-relations-in-the-field-of-culture--pr-public-relations-and-advertising/fayziyev-torabek-raufovich
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| Social Engineering as a Means of Implementing Social Management | | Author : Tojiyev Javlonbek Rustamovich | | Abstract | Full Text | Abstract :This article talks about the importance of social engineering affecting human activity in the field of management. The purpose and tasks of social engineering in management and the importance of applying social technologies in the field are analyzed. Tojiyev Javlonbek Rustamovich "Social Engineering as a Means of Implementing Social Management" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | International Conference of Multidisciplinary Research , September 2023, URL: https://www.ijtsrd.com/papers/ijtsrd60071.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/other/60071/social-engineering-as-a-means-of-implementing-social-management/tojiyev-javlonbek-rustamovich
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| Sanskrit Teaching Condition and Direction | | Author : Dr. Lata Sharma | | Abstract | Full Text | Abstract :The thousands of years old Indian culture was facing a destructive destructive greedy civilization which was destroying the traditional vision of India in the name of progress and westernization. Indian traditional cultural sense is not a sense of individual or fragmented autonomy, nor does it live on the symbols of the past, as is the case in Western thought. Dr. Lata Sharma "Sanskrit Teaching: Condition and Direction" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | International Conference of Multidisciplinary Research , September 2023, URL: https://www.ijtsrd.com/papers/ijtsrd60082.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/sanskrit/60082/sanskrit-teaching-condition-and-direction/dr-lata-sharma
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| Expression of National Cultural Background in Uzbek and English Artistic Discourse | | Author : A`zamova Dilfuza Shafoevna | | Abstract | Full Text | Abstract :Today, as at start of the I century, the role of tradition in orienting, or perhaps even in fashioning, the individual. Tradition is under assault, we are told, by market forces, global integration, and the ubiquitous media. Marxist and postmodern thinkers have even suggested that under such conditions, all traditions must be somewhat in uthentic the product of conscious fashioning, and, thus, not really a tradition at all. At times, traditionalists have called for group rights and group protections in an attempt to prevent commerce from eroding tradition, and thus, they hope, they can avoid the postmodern critique entirely. For cultures all over the world, textiles play an important role in carrying on history and society. A`zamova Dilfuza Shafoevna "Expression of National-Cultural Background in Uzbek and English Artistic Discourse" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52129.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/52129/expression-of-nationalcultural-background-in-uzbek-and-english-artistic-discourse/a`zamova-dilfuza-shafoevna
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| Using the Heritage of Thinkers to Interest Students in the Profession | | Author : Kurbonova Sh. N. | Nabiyeva Maftunabonu Nabi Girl | Yuldashova Kumush Ilvis Girl | | Abstract | Full Text | Abstract :Orienting the young generation to a profession has always been considered one of the priority issues facing our state and politics. In this article, the wide use of the works of our great thinkers in the education of primary school students in the profession, a deep respect for the legacy of thinkers and it was thought that the works created by them should be kept as the apple of the eye. Kurbonova Sh. N. | Nabiyeva Maftunabonu Nabi Girl | Yuldashova Kumush Ilvis Girl "Using the Heritage of Thinkers to Interest Students in the Profession" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52132.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/52132/using-the-heritage-of-thinkers-to-interest-students-in-the-profession/kurbonova-sh-n
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| Stimulating Research Activities in Improving the Research Skills of Future Primary School Teachers | | Author : Rajabova Nodirabegim Komilovna | | Abstract | Full Text | Abstract :Future primary school teachers in the article. In the conditions of modernizing education, the educational activity of students is becoming research. Therefore, it is of particular importance to introduce scientific research and experimental constructive activities of students into the educational process. Rajabova Nodirabegim Komilovna "Stimulating Research Activities in Improving the Research Skills of Future Primary School Teachers" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52134.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/52134/stimulating-research-activities-in-improving-the-research-skills-of-future-primary-school-teachers/rajabova-nodirabegim-komilovna
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| Competent Approach is an Important Factor in Increasing the Effectiveness of the Educational Process | | Author : Ruzikulova Nigora Shukhratovna | | Abstract | Full Text | Abstract :The importance of the competence based approach can be seen through globalization, integration processes, rapid changes in the social conditions of life, knowledge renewal, information volume increase, information technology development, requirements for the quality of education for objective reasons. In this article, the competence approach is studied as an important factor in increasing the effectiveness of the educational process. Ruzikulova Nigora Shukhratovna "Competent Approach is an Important Factor in Increasing the Effectiveness of the Educational Process" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52135.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/52135/competent-approach-is-an-important-factor-in-increasing-the-effectiveness-of-the-educational-process/ruzikulova-nigora-shukhratovna
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| Organization of Continuous Practice at Higher Education Institutions | | Author : Sadulloyeva Makhfuza Gaybulloyevna | | Abstract | Full Text | Abstract :This article discusses the structural and content, external aspects of pedagogical practice that require innovations that appeared in the course of educational reforms due to the decrees of the President of the Republic of Uzbekistan Shavkat Mirziyoyev and the Decrees of the Cabinet of Ministers of the Republic of Uzbekistan. Sadulloyeva Makhfuza Gaybulloyevna "Organization of Continuous Practice at Higher Education Institutions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52136.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/52136/organization-of-continuous-practice-at-higher-education-institutions/sadulloyeva-makhfuza-gaybulloyevna
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| The Concept of Military Pedagogical Competence and its Formation in Military Faculty Students | | Author : Kholikov Ikhtiyor Rozikovich | | Abstract | Full Text | Abstract :This article discusses the concept of military pedagogical competence and the process of formation of pedagogical competence among students of military faculties of pedagogical universities. In addition, conclusions are drawn about pedagogical competencies that are important for future military personnel. Kholikov Ikhtiyor Rozikovich "The Concept of Military Pedagogical Competence and its Formation in Military Faculty Students" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52139.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/52139/the-concept-of-military-pedagogical-competence-and-its-formation-in-military-faculty-students/kholikov-ikhtiyor-rozikovich
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| Forms and Methods of Work on Physical Development of Children Preschool Education Age Morning Exercises for Kindergarten Age Groups | | Author : Ibrahimovich Ashurali Tuychiyev | Sabirovna Gulbakhor Sidikova | | Abstract | Full Text | Abstract :Based on the analysis of the ideas of various specialists, the article examines one of the urgent problems of our time – the problem of preserving and strengthening health. The article substantiates the position that the problem of forming a culture of health and value attitude to it in preschool children should also become a pedagogical problem. Ibrahimovich Ashurali Tuychiyev | Sabirovna Gulbakhor Sidikova "Forms and Methods of Work on Physical Development of Children Preschool Education Age Morning Exercises for Kindergarten Age Groups" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52154.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/52154/forms-and-methods-of-work-on-physical-development-of-children-preschool-education-age-morning-exercises-for-kindergarten-age-groups/ibrahimovich-ashurali-tuychiyev
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| Communicative Language Skills | | Author : Xurramova Nargiza Abdurahmanovna | | Abstract | Full Text | Abstract :This article deals with communicative language skills. Communicative language teaching CLT , or the communicative approach, is an approach to language teaching that emphasizes interaction as both the means and the ultimate goal of study. Xurramova Nargiza Abdurahmanovna "Communicative Language Skills" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52140.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/52140/communicative-language-skills/xurramova-nargiza-abdurahmanovna
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| Theoretical Solutions for Calculating the Height of the Capillary Rise of Water in the Foundation of a Building | | Author : D. T. Inoyatov | E. S. Tulakov | | Abstract | Full Text | Abstract :Today, special attention is paid to the development of optimal solutions for waterproofing the foundations of buildings, reliable protection of structures from aggressive underground influences and thereby increasing the life expectancy of buildings, structures. Currently, the protection of brick buildings from the effects of capillary moisture rising from under the ground is carried out in a simple way. In this case, it was recommended that waterproofing be formed between the foundation and the brick wall for brick buildings to be built in seismic areas using a cement sandy mixture with a thickness of 30 mm. This article presents the result of a scientific research work carried out to protect the foundations and walls of low and medium rise residential, public buildings, which are being built in our republic today, from underground moisture. D. T. Inoyatov | E. S. Tulakov "Theoretical Solutions for Calculating the Height of the Capillary Rise of Water in the Foundation of a Building" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52388.pdf Paper URL: https://www.ijtsrd.com/engineering/civil-engineering/52388/theoretical-solutions-for-calculating-the-height-of-the-capillary-rise-of-water-in-the-foundation-of-a-building/d-t-inoyatov
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| Some Linguistic Features of Professional Communication | | Author : Abduvahobovna Abdukakharova | | Abstract | Full Text | Abstract :The article is devoted to some linguistic features of the functioning of professional communication in speech. The process of interaction of people connected by one specialty, or several social groups capable of exchanging information as a result of joint general professional activities provide for a number of basic rules in order to increase the communicative effectiveness of a specialist firstly, be critical of your speech in a social setting secondly, when it comes to the practical approval of moral norms, it is necessary to take into account the norms and standards of human behavior. Abduvahobovna Abdukakharova "Some Linguistic Features of Professional Communication" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52260.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/52260/some-linguistic-features-of-professional-communication/abduvahobovna-abdukakharova
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| New Uzbekistan Development Strategy and National Philosophy Dialectic Relationship and Spiritual Renewal | | Author : Sharipov Abdukhakimjon Ziyoitdinovich | | Abstract | Full Text | Abstract :This article provides a scientific analysis of the role of Uzbek national philosophy in the process of reforms implemented in the new stage of Uzbekistan’s development, the establishment of New Uzbekistan, the foundation of the Third Renaissance, its connection and coordination with development strategies are scientifically analyzed. On the basis of the principle “From the strategy of actions to the strategy of development”, the ideological bases of renewal and reforms in Uzbekistan were researched. The noble action of further realizing the knowledge and talent, power and potential of young people, which is considered the main driving force of development, is of national importance. Sharipov Abdukhakimjon Ziyoitdinovich "New Uzbekistan Development Strategy and National Philosophy: Dialectic Relationship and Spiritual Renewal" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52384.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/52384/new-uzbekistan-development-strategy-and-national-philosophy-dialectic-relationship-and-spiritual-renewal/sharipov-abdukhakimjon-ziyoitdinovich
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| Formation of Socio Legal Competences in Primary Class Students | | Author : Hakimova Nargiza Supkhanovna | | Abstract | Full Text | Abstract :The article talks about the specific aspects of improving the quality of education today, especially the importance of forming a sense of respect for social and legal norms among elementary school students, and exercises and recommendations are given in this regard. Hakimova Nargiza Supkhanovna "Formation of Socio-Legal Competences in Primary Class Students" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52385.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/52385/formation-of-sociolegal-competences-in-primary-class-students/hakimova-nargiza-supkhanovna
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| Development of Technology Elements for Cultivation of Seedless Grape Varieties | | Author : Mirzahidov Bakhtiyor Jaliddinovich | | Abstract | Full Text | Abstract :This article presents data on the study of the elements of cultivation technology of the large berry variety Kishmish Botir. The studies were carried out at the Central Experimental Base of the Samarkand Research and Experimental Station of the Research institute of horticulture, viticulture and winemaking academician M. Mirzaev. Mirzahidov Bakhtiyor Jaliddinovich "Development of Technology Elements for Cultivation of Seedless Grape Varieties" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52386.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/52386/development-of-technology-elements-for-cultivation-of-seedless-grape-varieties/mirzahidov-bakhtiyor-jaliddinovich
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| Technological Evaluation of New Large Grape Varieties under Various Drying Methods | | Author : Mirzahidov Bakhtiyor Jaliddinovich | | Abstract | Full Text | Abstract :This article presents data on the study of the technological evaluation of new large berry seedless grape varieties with various drying methods “Aftobi”, “Obzhush” and “Stack”. The studies were carried out at the Central Experimental Base of the Samarkand Research and Experimental Station of the Research institute of horticulture, viticulture and winemaking academician M.Mirzaev. Mirzahidov Bakhtiyor Jaliddinovich "Technological Evaluation of New Large Grape Varieties under Various Drying Methods" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52387.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/52387/technological-evaluation-of-new-large-grape-varieties-under-various-drying-methods/mirzahidov-bakhtiyor-jaliddinovich
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| Main Approaches and Methods used in the Logistics System | | Author : Tinicheva Marjona | | Abstract | Full Text | Abstract :This article discusses the methods of managing logistics systems and production systems at the macro and micro levels. Tinicheva Marjona "Main Approaches and Methods used in the Logistics System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52462.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/52462/main-approaches-and-methods-used-in-the-logistics-system/tinicheva-marjona
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| 3GPP Project Based D2D Communication in Cellular Networks | | Author : Nozima Musaboyeva Bahtiyor Qizi | | Abstract | Full Text | Abstract :Device to device D2D communication is rapidly evolving into a viable method of information exchange in a cellular network. It has a very low end to end latency and can increase spectral efficiency of a cellular network. The latest releases of 3GPP specification have given considerable attention to standardize this mode of communication and integrate it in the ecosystem of LTE advanced. This will give more impetus to the development of D2D technologies and their adoption by mobile operators. This paper presents a discussion and critical analysis of the main features of D2D communication as defend in Release 12 and subsequent releases of 3GPP specifications. Nozima Musaboyeva Bahtiyor Qizi "3GPP Project Based D2D Communication in Cellular Networks" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52422.pdf Paper URL: https://www.ijtsrd.com/computer-science/computer-network/52422/3gpp-project-based-d2d-communication-in-cellular-networks/nozima-musaboyeva-bahtiyor-qizi
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| The Principles of Waldorf Education and Public Schools in Rising Pupils Spiritually | | Author : S. S. Zuparova | | Abstract | Full Text | Abstract :The article is devoted to determine the philosophy of Waldorf education with Public schools. It evaluates creative study and analyzes a number of philosophical objectives and educational suggestions of the Waldorf and state schools involved in the study. The aim of this research is to identify if there is a notable distinction between the creative thinking ability of Waldorf and public school pupils. S. S. Zuparova "The Principles of Waldorf Education and Public Schools in Rising Pupils Spiritually" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52423.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/52423/the-principles-of-waldorf-education-and-public-schools-in-rising-pupils-spiritually/s-s-zuparova
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| Problems of Application of Digital Technologies in Uzbekistan Agriculture and Development Opportunities | | Author : Ablazov Shohruh Abdukakhhorovich | | Abstract | Full Text | Abstract :The purpose of this article is to study the features of the use and development of digital technologies in the agriculture of the Republic of Uzbekistan. In addition, the article discusses the main strategic directions of digital agriculture, explores approaches to the formation of a digital platform on the example of the agricultural sector of the economy, reveals the reasons for the slowdown of digital transformation, and clarifies the characteristics of information use. The main problems and solutions of innovative development are proposed. Ablazov Shohruh Abdukakhhorovich "Problems of Application of Digital Technologies in Uzbekistan Agriculture and Development Opportunities" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52460.pdf Paper URL: https://www.ijtsrd.com/management/other/52460/problems-of-application-of-digital-technologies-in-uzbekistan-agriculture-and-development-opportunities/ablazov-shohruh-abdukakhhorovich
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| Study of Plot, Motive, Composition and Linguopoetics in Uzbek Epics | | Author : Maksudakhan Khakimova Gofurjan | | Abstract | Full Text | Abstract :A set of customary and mandatory ways of perceiving the world historically formed, stabilized and characteristic of each language community creates a linguistic landscape of the world. The linguistic landscape of the world is a set of universal and at the same time nationally specific ways of perceiving and conceptualizing the world. Maksudakhan Khakimova Gofurjan "Study of Plot, Motive, Composition and Linguopoetics in Uzbek Epics" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52461.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/other/52461/study-of-plot-motive-composition-and-linguopoetics-in-uzbek-epics/maksudakhan-khakimova-gofurjan
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| Developing Learning English as a Second Language | | Author : Habibullayeva Shaxnoza Nuritdinovna | | Abstract | Full Text | Abstract :In this article we focus on second language learners’ developing knowledge and use of their new language. We examine some of the mistakes that learners make and discuss what mistakes can tell us about their knowledge of the language and their ability to use that knowledge. We look at stages and sequences in the acquisition of some syntactic and morphological features in the second language. We also review some aspects of learners’ development of vocabulary, pragmatics and phonology. Habibullayeva Shaxnoza Nuritdinovna "Developing Learning English as a Second Language" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52658.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/52658/developing-learning-english-as-a-second-language/habibullayeva-shaxnoza-nuritdinovna
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| Economic Reforms in the Agrarian Sector and their Results | | Author : Batyrova Rakhimakhon Abdujabborovna | Sirozhiddinov Ikromiddin Polariddinovich | | Abstract | Full Text | Abstract :The article analyzes the main directions of deepening market reforms in the agricultural sector of the economy and their impact on the development of agriculture in Namangan region in the conditions of the coronavirus pandemic. Batyrova Rakhimakhon Abdujabborovna | Sirozhiddinov Ikromiddin Polariddinovich "Economic Reforms in the Agrarian Sector and their Results" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52780.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/52780/economic-reforms-in-the-agrarian-sector-and-their-results/batyrova-rakhimakhon-abdujabborovna
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| Technology of Propagation of Lemon Plants from Cuttings | | Author : Z. A. Umarov. | J. Agzamkhozhaev. | A. A. Pulatov. | | Abstract | Full Text | Abstract :In this article, propagation of lemon seedlings, phenological observations during their propagation, biological phases during callus and rooting of lemon seedlings are studied in cross section of varieties. Z. A. Umarov. | J. Agzamkhozhaev. | A. A. Pulatov. "Technology of Propagation of Lemon Plants from Cuttings" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52659.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/52659/technology-of-propagation-of-lemon-plants-from-cuttings/z-a-umarov
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| Prevention of Chronic Kidney Diseases | | Author : Rasulova Nilufar | Aminova Asalya | | Abstract | Full Text | Abstract :Chronic kidney disease CKD is a serious public health problem in developed countries both because of the large number of patients and because of the high cost of treatment when prevention strategies are not implemented effectively. Primary prevention of CKD can be achieved by taking measures to ensure healthy kidney development. Public health strategies to prevent diabetes, hypertension and obesity as risk factors for CKD are important. These approaches are cost effective and reduce the overall burden of noncommunicable diseases. Strategies for the prevention of non traditional CKD risk factors, including exposure to nephrotoxins, kidney stones, infections, environmental exposure and acute renal failure AKI should be adapted to local needs and epidemiology. Early diagnosis and treatment of CKD risk factors, such as diabetes, obesity and hypertension, are the key to primary prevention of CKD. CKD tends to occur more often and progress faster among the indigenous population, minorities and socio economically disadvantaged segments of the population. Special attention is required to meet the needs of these population groups in the prevention of CKD. Effective secondary prevention of CKD depends on screening at risk individuals for early detection and treatment of CKD using established and new strategies. Rasulova Nilufar | Aminova Asalya "Prevention of Chronic Kidney Diseases" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52690.pdf Paper URL: https://www.ijtsrd.com/medicine/other/52690/prevention-of-chronic-kidney-diseases/rasulova-nilufar
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| The Importance of Developing Hotel Services in the Digitalized Economy | | Author : Rakhimov Zafar Odilovich | Tursunova Feruza Shavkatovna | | Abstract | Full Text | Abstract :In this article, the significance of the growth of developing hotel services in the context of Uzbekistans economys digitization is discussed, and the reforms and current initiatives in the countrys tourism industry are underlined. On enhancing the organizational, economic, and methodological directions of the growth of the digital economy, in particular the tourism and hotel industries, a number of study works from foreign nations and our national scientists were also reviewed. Rakhimov Zafar Odilovich | Tursunova Feruza Shavkatovna "The Importance of Developing Hotel Services in the Digitalized Economy" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52712.pdf Paper URL: https://www.ijtsrd.com/management/other/52712/the-importance-of-developing-hotel-services-in-the-digitalized-economy/rakhimov-zafar-odilovich
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| Actual Problems in Teaching the Language of the Specialty to University Students | | Author : Matenov Rashid Bekimbetovich | A. V. Tryapelnikov | | Abstract | Full Text | Abstract :The article deals with some actual problems in teaching the language of the specialty to university students. Here the teaching of Russian language as a non native in national groups of universities is discussed as well. Matenov Rashid Bekimbetovich | A. V. Tryapelnikov "Actual Problems in Teaching the Language of the Specialty to University Students" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52752.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/52752/actual-problems-in-teaching-the-language-of-the-specialty-to-university-students/matenov-rashid-bekimbetovich
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| Implementation of Investment Programs and the Preservation and Effective use of New Capacities Created through these Programs | | Author : Khakimov Akbar Anvarovich | | Abstract | Full Text | Abstract :The article scientifically examines the content and directions of state policy on state support of new capacities created within the framework of targeted programs for the development of the national economy. Khakimov Akbar Anvarovich "Implementation of Investment Programs and the Preservation and Effective use of New Capacities Created through these Programs" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52753.pdf Paper URL: https://www.ijtsrd.com/engineering/other/52753/implementation-of-investment-programs-and-the-preservation-and-effective-use-of-new-capacities-created-through-these-programs/khakimov-akbar-anvarovich
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| Innovative Ways of Developing the Export of Business Subjects in the Regions | | Author : Usmonova Dilfuza Ilkhomovna | Ruzikhulova Nilufar Ulugbekovna | Usmanov Shakhzod Shokhrukhovich | | Abstract | Full Text | Abstract :In this article, it is considered to achieve a significant increase in the export of products in such areas as microelectronics, optical fiber, radioelectronic, laser, nuclear and computer technologies, as well as the organization and formation of innovative activities. Usmonova Dilfuza Ilkhomovna | Ruzikhulova Nilufar Ulugbekovna | Usmanov Shakhzod Shokhrukhovich "Innovative Ways of Developing the Export of Business Subjects in the Regions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52779.pdf Paper URL: https://www.ijtsrd.com/economics/other/52779/innovative-ways-of-developing-the-export-of-business-subjects-in-the-regions/usmonova-dilfuza-ilkhomovna
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| Results of Experimental Work on Teaching Bukhara Folk Songs in Music Education and their Effectiveness | | Author : Nurillaev Farrukh Gaybullaevich | | Abstract | Full Text | Abstract :In this scientific article, it is analyzed that experimental and observational work was carried out on the aesthetic education of students through Uzbek folklore songs and the formation of their artistic worldviews. When students are involved in the activities of aesthetic education classes, first of all, it is recognized that their interest in art, singing, dancing, music, and performing talents have been comprehensively checked. It is also explained that scientific conclusions and recommendations have been developed based on the results of the experimental tests. Nurillaev Farrukh Gaybullaevich "Results of Experimental Work on Teaching Bukhara Folk Songs in Music Education and their Effectiveness" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52782.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/music/52782/results-of-experimental-work-on-teaching-bukhara-folk-songs-in-music-education-and-their-effectiveness/nurillaev-farrukh-gaybullaevich
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| Expression of Social Relations in the Views of Husayn Vaiz Kashifi | | Author : Ashurova Marhabo Sayfulloevna | | Abstract | Full Text | Abstract :The article analyzes the historical development of life activities of people in society, social relations, social system and political stability. In this regard, Kashifis thoughts about society explain that “people are urban according to their nature, that is, they have no choice but to find each other and gather in one city or one place”. Because they have to live together in order to meet their social needs. It is based on the principle of historicity in studying social phenomena and processes. Because any social phenomenon is not accidental, but develops over a long period of time and exists in a unified form. Ashurova Marhabo Sayfulloevna "Expression of Social Relations in the Views of Husayn Vaiz Kashifi" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52783.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/52783/expression-of-social-relations-in-the-views-of-husayn-vaiz-kashifi/ashurova-marhabo-sayfulloevna
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| Concept of Justice and its Role in the Stability of Society in the Social Views of Husayn Vaiz Kashifi | | Author : Rakhmatov Nuriddin Negkadamovich | | Abstract | Full Text | Abstract :In this article ha been studied the social views of Hossein Kashifi, a wise poet and orator, who lived in Herat during the time of the great thinker Alisher Navoi, mastered the art of oratory, observed social life and expressed his strong opinions to the people, was popular in the court of the Timurid king Husayn Boykara and among the people. It was emphasized that the criterion of justice in the society is that the king should be fair, he always intends to be fair, and if he uses justice in his words and deeds, he will have a strong influence in ensuring the welfare of the people. In sociology, the category of justice is considered and analyzed based on the practical solution to the problems of social cohesion and social stability, conclusions and recommendations are given. Rakhmatov Nuriddin Negkadamovich "Concept of Justice and its Role in the Stability of Society in the Social Views of Husayn Vaiz Kashifi" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52784.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/52784/concept-of-justice-and-its-role-in-the-stability-of-society-in-the-social-views-of-husayn-vaiz-kashifi/rakhmatov-nuriddin-negkadamovich
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| Theoretical Comparative Typological Study of Electro Energy Terms in English and Uzbek Languages | | Author : Galiakberova Albina Rinatovna | | Abstract | Full Text | Abstract :This work is devoted to the study of general issues of terminology and terminological activity in the electric power industry based on the material of English and Uzbek languages. The development of the electric power industry affects the state of various industries and the daily lives of people around the world. This industry affects the production of energy, its transmission, distribution and sale. Accordingly, all countries of the world pay due attention to it, and states carry out mandatory regulation in this area. Galiakberova Albina Rinatovna "Theoretical Comparative-Typological Study of Electro Energy Terms in English and Uzbek Languages" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53892.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/53892/theoretical-comparativetypological-study-of-electro-energy-terms-in-english-and-uzbek-languages/galiakberova-albina-rinatovna
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| Teaching Power Engineering Terminology at the Technical Universities | | Author : Bakirova Hilola Botiraliyevna | | Abstract | Full Text | Abstract :The article discusses teaching foreign language terminology in a non linguistic university within the framework of a modern, competence based approach to teaching foreign languages. It analyzes the mastery of the lexical skills necessary for professional communication in a foreign language. In addition, the terminological competence of a specialist was investigated as the basis for the formation of professional foreign language communicative competence of future specialists and is one of the main tasks of teaching a foreign language in a non linguistic university. Bakirova Hilola Botiraliyevna "Teaching Power Engineering Terminology at the Technical Universities" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53891.pdf Paper URL: https://www.ijtsrd.com/engineering/other/53891/teaching-power-engineering-terminology-at-the-technical-universities/bakirova-hilola-botiraliyevna
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| The Image of Abu Rayhan Beruni in the Work “Clouds over Jeyhun” | | Author : Rakhimjonova Rano Muhammadulla kizi | | Abstract | Full Text | Abstract :One of the known and famous figures that shook the world for five centuries is Abu Rayhon Beruni. It is said about how Mirkarim Osim shaped, described a historical person, about the instructive seasons of the scientists life path. The events experienced by ancient Jayhun will be covered in detail. Great personalities who have been finding themselves for centuries, scientists believe that the products of creativity are still being studied as a guide for generations. Rakhimjonova Rano Muhammadulla kizi "The Image of Abu Rayhan Beruni in the Work “Clouds over Jeyhun”" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53918.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53918/the-image-of-abu-rayhan-beruni-in-the-work-“clouds-over-jeyhun”/rakhimjonova-rano-muhammadulla-kizi
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| Semantic and Functional Features of Ecoterms in English and Uzbek Languages | | Author : Nigmatullina Almira Shamsunovna | | Abstract | Full Text | Abstract :In this article is determined by the insufficient knowledge of the linguistic description of the metalinguistic, functional, structural and word forming features of the terms of the ecological sphere, the need to systematize the conceptual, semantic, and structural metalinguistic features and properties of the term units of the ecological sphere. The modern science of language, terminology is characterized by deepening and expanding the object of analysis, involving the aspects of term element , term stage of cognition , term model and a number of others. Their systematization makes it possible to overcome the incompleteness and inconsistency in the description of ecological terminology, which hinders the development of the relevant sections of the theory of the term. The chosen approach actualizes the word formation model of eco terms as a new cognitive basis for their study. Nigmatullina Almira Shamsunovna "Semantic and Functional Features of Ecoterms in English and Uzbek Languages" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53893.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/53893/semantic-and-functional-features-of-ecoterms-in-english-and-uzbek-languages/nigmatullina-almira-shamsunovna
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| Scientific Approaches to Improving the Educational System | | Author : Rafieva Bunafsha Rustamovna | Djamaldinova Shakhlo Obloberdiyevna | | Abstract | Full Text | Abstract :Education is inextricably linked to economic productivity and personal income growth. But what is it about education that creates this connection In this article, you can see that the impact of education primarily depends on its quality, but there are many indicators of the quality of education that do not work equally. In this article, we will look at the distribution of education quality around the world, that even in countries with a full enrollment and high spending on education, the impact of investment varies significantly, and also what we know about the quality of education from the data of the last decade. Rafieva Bunafsha Rustamovna | Djamaldinova Shakhlo Obloberdiyevna "Scientific Approaches to Improving the Educational System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53924.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/53924/scientific-approaches-to-improving-the-educational-system/rafieva-bunafsha-rustamovna
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| Merits and Demerits of Interview Method for Improving Speaking Skill | | Author : Gulruh Boykuvatova | Uljayeva Shakhzoda Turdaliyevna | | Abstract | Full Text | Abstract :This article discusses the advantages and disadvantages of the interview method. Despite some disadvantages of this method used in the development of speaking skills, its advantages help to reduce the impact of these disadvantages on the development of speaking skills. Gulruh Boykuvatova | Uljayeva Shakhzoda Turdaliyevna "Merits and Demerits of Interview Method for Improving Speaking Skill" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53894.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/53894/merits-and-demerits-of-interview-method-for-improving-speaking-skill/gulruh-boykuvatova
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| Specific Aspects of Citizen Position and Professional Competence in Students | | Author : Rustam Ganievich Jumaev | | Abstract | Full Text | Abstract :Theoretical and methodological training in the article is a set of special knowledge, skills and abilities that will influence the performance of a task in a certain field of activity, which in some literature is interpreted as a process of learning a specific job, skills necessary to perform a group of tasks. When improving the professional activity of a teacher, it is important that he increases his theoretical and methodological training. Theoretical and methodological training, of course, does not happen by itself. On the basis of theoretical and methodological training, such processes as learning to read, collective and individual research, experience acquisition, additional mastery, self education are included. Rustam Ganievich Jumaev "Specific Aspects of Citizen Position and Professional Competence in Students" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53896.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/53896/specific-aspects-of-citizen-position-and-professional-competence-in-students/rustam-ganievich-jumaev
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| Chemical Composition Biological Value and Healing Properties of Rosehips | | Author : Gulchexra Sal?vatovna Meliboyeva | | Abstract | Full Text | Abstract :Rosehip is not only a beautiful, but also a useful plant, the healing power of which is not only in its fruit, but also in its pulp, skin and seeds. Rosehip has a hematopoietic effect, increases the bodys resistance to harmful environmental influences, accelerates the healing of wounds and bone fusion, normalizes the functioning of the gallbladder and liver, perfectly fights against spring beriberi and exhaustion. The article provides information about the chemical composition, biological value and medicinal properties of wild rose, as well as recommendations for its use. Gulchexra Sal?vatovna Meliboyeva "Chemical Composition Biological Value and Healing Properties of Rosehips" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53911.pdf Paper URL: https://www.ijtsrd.com/chemistry/other/53911/chemical-composition-biological-value-and-healing-properties-of-rosehips/gulchexra-salvatovna-meliboyeva
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| Kokan Uprising in 1841 1842 | | Author : Iskanderov Sultanbek | | Abstract | Full Text | Abstract :This article describes the resignation of Kokan Khan Muhammad Alikhan, the uprising in Kokan in 1841 1842 and its causes and consequences, as well as the social and political situation of Kokan residents at that time. Iskanderov Sultanbek "Kokan Uprising in 1841-1842" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53919.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53919/kokan-uprising-in-18411842/iskanderov-sultanbek
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| Head and Chest Resonators | | Author : Baltaniyazov Sarsenbay Aytmuratovich | | Abstract | Full Text | Abstract :The article provides a brief overview of the singers vocal apparatus, the musical abilities of the head and chest resonator, the sense of rhythm, intonation and vocal range. Differences between the upper chest resonator and the upper resonator and their role in vocal performance. Baltaniyazov Sarsenbay Aytmuratovich "Head and Chest Resonators" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53912.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53912/head-and-chest-resonators/baltaniyazov-sarsenbay-aytmuratovich
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| Some Types of Written Work in Foreign Language Lessons | | Author : Djamaldinova Shakhlo Obloberdiyevna | Rafieva Bunafsha Rustamovna | | Abstract | Full Text | Abstract :The formation of the skills necessary for successful practical activity the ability to present the content of what is read or heard, outline a lecture, an article, write a report, clearly formulate ones thoughts, draw up a plan and abstracts of a report, can only be done on the basis of the development of thinking and speech of students in the learning process Therefore, it is necessary to systematically develop the ability to coherently express your thoughts. Creative and free dictations are of great help in this. Djamaldinova Shakhlo Obloberdiyevna | Rafieva Bunafsha Rustamovna "Some Types of Written Work in Foreign Language Lessons" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53923.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/53923/some-types-of-written-work-in-foreign-language-lessons/djamaldinova-shakhlo-obloberdiyevna
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| The Causes and Impact of Incorrect Identification of Pavement Distresses | | Author : Ali H. Mohaisen | Hatim A. Rashid | | Abstract | Full Text | Abstract :The conditions of road pavement affect economy, safety and comfort, traffic and travel times, emission levels, and vehicles operating costs. The research paper focuses on one of the most important factors that lead to road deterioration and the failure of maintenance operations, which is the incorrect identification of the causes of distresses and their negative impact on the economy, safety, and the environment. To identify these causes and effects, the researcher used an integrated methodology that included reviewing and analyzing previous studies, preparing a questionnaire filled out by experts, and analyzing historical data for a case study AL Kut Maysan Road . The results show that the reasons for the inaccurate identification of the causes of distresses are seven factors, the most important of which is the adoption of old and fixed work methods for all cases of deterioration, as well as the lack of training and tools used in some maintenance departments. The results of the case study analysis also show the negative effects, including economic losses, an increase in the number of accidents and emissions, as well as the road being out of service due to the failure of the maintenance process. Ali H. Mohaisen | Hatim A. Rashid "The Causes and Impact of Incorrect Identification of Pavement Distresses" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53916.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53916/the-causes-and-impact-of-incorrect-identification-of-pavement-distresses/ali-h-mohaisen
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| About Some Features of the Use of Phraseological Units in Mass Media | | Author : Mukhitdinzoda Regina Alimjanovna | | Abstract | Full Text | Abstract :The article deals with phraseological units in general and some features of the use of phraseological units in mass media. Mukhitdinzoda Regina Alimjanovna "About Some Features of the Use of Phraseological Units in Mass Media" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53925.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53925/about-some-features-of-the-use-of-phraseological-units-in-mass-media/mukhitdinzoda-regina-alimjanovna
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| The Influence of Lexicographic Work in the Assimilation of Professional Terms | | Author : Mamedova Kamilla | Razikova Lola Tuychiyevna | | Abstract | Full Text | Abstract :In order to improve speech culture, exercises aimed at expanding the active vocabulary of children, as well as at developing their ability to choose from their vocabulary to express thoughts those words that most correspond to the content of the utterance and make it correct, accurate and expressive, should occupy a prominent place. Mamedova Kamilla | Razikova Lola Tuychiyevna "The Influence of Lexicographic Work in the Assimilation of Professional Terms" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53936.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/53936/the-influence-of-lexicographic-work-in-the-assimilation-of-professional-terms/mamedova-kamilla
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| Use of Zonynyms in Works | | Author : Yusupov Sanat Shukhratovich | Ixtiyorbek Norov Kamoliddinovich | | Abstract | Full Text | Abstract :Epos is one of the most widespread and large genres of Uzbek folklore. Folk epics are a great gift of antiquity, the general worldview of the time when they were created, and at the same time, in the conditions of living traditional creativity and performance, they express the objective state of the folk psyche from time to time. is a literary monument. Yusupov Sanat Shukhratovich | Ixtiyorbek Norov Kamoliddinovich "Use of Zonynyms in Works" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53926.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53926/use-of-zonynyms-in-works/yusupov-sanat-shukhratovich
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| Using Some Effective Teaching Methods in Higher Education System | | Author : Sattorova Marifat Ortikovna | | Abstract | Full Text | Abstract :This article discusses some features of teaching at higher educational institutions. Some methods of teaching and problems that teachers and students may face during their collaborative work also studied below. Sattorova Marifat Ortikovna "Using Some Effective Teaching Methods in Higher Education System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53927.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/53927/using-some-effective-teaching-methods-in-higher-education-system/sattorova-marifat-ortikovna
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| Psychoprophylaxis of Depressive Disorders in Alcohol Dependent Patients during the Covid 19 Pandemic and Autoagressive Actions in Children Growing up in this Family | | Author : Turaev Bobir Temirpulatovich | | Abstract | Full Text | Abstract :Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53966.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53966/psychoprophylaxis-of-depressive-disorders-in-alcoholdependent-patients-during-the-covid19-pandemic-and-autoagressive-actions-in-children-growing-up-in-this-family/turaev-bobir-temirpulatovich
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| Concepts of Respect Category and Respect Speech in Uzbek Language | | Author : Shirin Baxtiyarovna Sadikova | | Abstract | Full Text | Abstract :In this article, there are opinions about the expression of Respect as a social positive phenomenon through language, and it is considered appropriate to call it a linguistic category. Therefore, respect as a category is related to modal relations, its general aspect, and the expression of respect and related meanings such as respect, respect, honoring, glorification, attention is a special aspect. Shirin Baxtiyarovna Sadikova "Concepts of Respect Category and Respect Speech in Uzbek Language" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53928.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53928/concepts-of-respect-category-and-respect-speech-in-uzbek-language/shirin-baxtiyarovna-sadikova
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| Multi Layer Neural Network Training in Python Programming Language | | Author : Alimova Rayhon Abdugafforovna | | Abstract | Full Text | Abstract :This article describes the training of artificial neural network. A program for training a multi – layer neural network is created and the result is shown. Alimova Rayhon Abdugafforovna "Multi - Layer Neural Network Training in Python Programming Language" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53929.pdf Paper URL: https://www.ijtsrd.com/computer-science/other/53929/multi--layer-neural-network-training-in-python-programming-language/alimova-rayhon-abdugafforovna
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| Sources of Formation of Sharia Terms in the Old Uzbek Language | | Author : Taboshar Qodirovich Yuldoshev | | Abstract | Full Text | Abstract :In this article, there are thoughts about the long history of the formation and development of religious terms in the Uzbek language. The ancient Turkic peoples practiced various religions, the oldest religion was the belief of the blue god sky god and this religion was the main religious belief of the Turks in the earliest times, during the First and Second Turkic khanates. Taboshar Qodirovich Yuldoshev "Sources of Formation of Sharia Terms in the Old Uzbek Language" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53930.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/other/53930/sources-of-formation-of-sharia-terms-in-the-old-uzbek-language/taboshar-qodirovich-yuldoshev
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| Development of Professional Communication Competence in Future Economists | | Author : Umidakhon Agzamovna Tursunova | | Abstract | Full Text | Abstract :The article analyzes the modern pedagogical conditions, factors, stages, components, and methods of developing the mechanism of professionally oriented communicative competence development in future economists in the process of learning English . Also, in the article, the system of pedagogical analysis of the skills of communication competence in future economists, the forms of manifestation in foreign languages are studied. Umidakhon Agzamovna Tursunova "Development of Professional Communication Competence in Future Economists" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53931.pdf Paper URL: https://www.ijtsrd.com/economics/other/53931/development-of-professional-communication-competence-in-future-economists/umidakhon-agzamovna-tursunova
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| Vocal Singing Teaching Methodology | | Author : Ibrohimov Azizbek Ismonjon ugli | | Abstract | Full Text | Abstract :This article analyzes another genre of opera, vocal, based on written sources about what to pay attention to when singing in vocal performance in this genre, how the singer behaves in general. Ibrohimov Azizbek Ismonjon ugli "Vocal Singing Teaching Methodology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53932.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/53932/vocal-singing-teaching-methodology/ibrohimov-azizbek-ismonjon-ugli
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| Integration and Interdisciplinary Communication in Modern School Russian English | | Author : Khamraeva Guli | | Abstract | Full Text | Abstract :The article is devoted to the implementation of interdisciplinary connections, promotes deeper language learning, introduces it into a broad cultural context, productively develops personal qualities, and also corresponds to modern methodological experience. Khamraeva Guli "Integration and Interdisciplinary Communication in Modern School: Russian + English" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53933.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/other/53933/integration-and-interdisciplinary-communication-in-modern-school-russian--english/khamraeva-guli
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| Increasing the Social Activity of Students in Foreign Language Classes | | Author : Ziyoda Abdumalikovna Pulatova | | Abstract | Full Text | Abstract :This article highlights the methods of increasing the social activity of students in the process of teaching English in the preparation of future economists. We will briefly touch on the most traditional methods and methods used by our teachers and pedagogues to increase students activity in teaching foreign languages and are still used in classes. Ziyoda Abdumalikovna Pulatova "Increasing the Social Activity of Students in Foreign Language Classes" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53934.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/53934/increasing-the-social-activity-of-students-in-foreign-language-classes/ziyoda-abdumalikovna-pulatova
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| Immunological and Pathophysiological Mechanisms of Systemic Inflammation | | Author : Lapasova Zebiniso Khidirovna | | Abstract | Full Text | Abstract :General characteristics of systemic inflammation as a typical pathological process. Inflammation is a universal and common type of pathological the process underlying most of the known human diseases. The essence of inflammation is the bodys reaction to local damage, which is aimed at isolating and eliminating the damaging factor, and then tissue regeneration. The reaction develops mainly locally – in the focus of inflammation. The main functional role in the focus of inflammation is played by inflammatory infiltrate cells – various types of leukocytes and mobile macrophages. In turn, the reaction of microvessels, the hemostasis system, mastocytes and many other types of stromal cells ensures the migration of effector cells to the focus of inflammation, as well as the localization of damaging agents. The type of inflammatory process – exudative destructive inflammation purulent or various variants of productive inflammation, as well as the final effectiveness of the inflammatory process as a whole depends on the composition of the inflammatory infiltrate cells and the nature of their relationship. The implementation of effector mechanisms in the focus of inflammation cannot be carried out without resource support from the whole organism. This task is mainly solved by a systemic inflammatory reaction, which includes a number of interrelated processes stress response of the neuroendocrine system, primarily the hypothalamic pituitary adrenal complex generalized manifestations of the immune response, acute phase response of the liver, increased leukocytopoiesis in the bone marrow. The main initiating mechanism for the development of a systemic inflammatory reaction is the entry of individual cytokines and some other inflammatory mediators into the systemic bloodstream from the focus of inflammation. The need for it does not arise with any, but only with a pronounced inflammatory process, with a high level of expenditure of metabolic and cellular resources. Manifestations of a systemic inflammatory reaction are diverse fever, neuromuscular asthenia, an increase in blood glucose and other energy substrates, leukocytosis, an increase in acute phase proteins in the blood and other adaptive changes in homeostasis. Thus, the systemic inflammatory reaction has both common and different manifestations from other stress variants at the level of the whole organism. In general, the inflammatory process includes two complementary genetically determined programs in relation to the focus of inflammation internal – at the local level and external – systemic inflammatory response. Like any other protective mechanism for the body, individual manifestations of inflammation can in certain cases have negative consequences, which, however, does not negate the expediency of inflammation as a protective process for the body as a whole. Knowledge of the general patterns of the inflammatory process allows us to understand the pathogenesis of a wide range of inflammatory diseases. Meanwhile, there are pathological processes directly related to the involvement of inflammatory mechanisms, the pathogenesis of which is difficult to describe, and in some cases impossible from the standpoint of traditional classical ideas about inflammation. This applies, first of all, to the most life–threatening forms of pathology shock states, acute manifestations of multiple organ failure, the development of disseminated intravascular coagulation syndrome and some other critical human conditions. Very often, the role of the focus of inflammation in these conditions is insignificant, and in some cases it the focus is completely absent. Practitioners were the first to note the connection between the development of critical conditions in humans with inflammatory mechanisms in sepsis, and then non infectious processes. At the same time, two out of four possible criteria are sufficient to verify a systemic inflammatory reaction. The use of criteria for systemic inflammatory response in clinical practice allowed us to identify a risk group for severe complications. Inflammatory mechanisms, which are characterized by signs of a systemic inflammatory reaction, are generally adaptive in nature and cannot directly determine the pathogenesis, for example, of a shock state. All this predetermined the need to describe the model of systemic inflammation as an independent typical pathological process, related, but not identical to classical inflammation, which requires the separation of the designated two alternative typical pathological processes. To this end, we will pay attention to the origins of the inflammatory reaction. Any cell is capable of responding to the effects of a damaging factor, this response can be referred to as cellular stress. Meanwhile, the damaging factors themselves are heterogeneous. Firstly, these are various micro defects of cellular structures and changes in vital environmental parameters, such as hypoxia, disturbances of acid base balance and temperature regime parasitization by viruses and other intracellular organisms. All these factors are capable of damaging the cell directly and are damaging agents by definition. Secondly, it is the effect on the cell, or rather on cellular receptors, of molecules carrying information about the possibility of damage. These molecules warn the cell about the presence of microorganisms or other factors that pose a potential danger. Lapasova Zebiniso Khidirovna "Immunological and Pathophysiological Mechanisms of Systemic Inflammation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53959.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53959/immunological-and-pathophysiological-mechanisms-of-systemic-inflammation/lapasova-zebiniso-khidirovna
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| Obscene Language in English and Russian Languages | | Author : Muxitdinzoda Regina Alimjanovna | | Abstract | Full Text | Abstract :The article refers to people`s use of obscene vocabulary in communication in there circle, as a result of which in the language e.g. modern English and Russian the so called euphemism develops and functions. Muxitdinzoda Regina Alimjanovna "Obscene Language in English and Russian Languages" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53937.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/53937/obscene-language-in-english-and-russian-languages/muxitdinzoda-regina-alimjanovna
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| The Process of Ethnic Education of Students of Higher Educational Institutions with the Help of Multimedia Technologies | | Author : Razikova Lola Tuychiyevna | Mamedova Kamilla | | Abstract | Full Text | Abstract :The article acknowledges that success in the development of national education of students can be achieved only through the effective use of media technology. As noted in the article, a creative environment and advanced pedagogical experience play a special role in the development of creative abilities in students. In our study, a statistical analysis of the results obtained at the initial and final stages is presented. The experiment presented tables consisting of test results and statistical calculations. Razikova Lola Tuychiyevna | Mamedova Kamilla "The Process of Ethnic Education of Students of Higher Educational Institutions with the Help of Multimedia Technologies" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53938.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/53938/the-process-of-ethnic-education-of-students-of-higher-educational-institutions-with-the-help-of-multimedia-technologies/razikova-lola-tuychiyevna
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| Raising Children in a Healthy Environment is the Duty of All of US | | Author : Sharipov Asror Safar ogli | Sadikova Yorkinoy Salijonovna | | Abstract | Full Text | Abstract :Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53964.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53964/raising-children-in-a-healthy-environment-is-the-duty-of-all-of-us/sharipov-asror-safar-ogli
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| The Organization and Development of the Baburi State | | Author : Sevar Ilyasovna Shamuradova | | Abstract | Full Text | Abstract :This article is dedicated to the period from the foundation of the Baburi state to its decline, and to briefly show various aspects of the countrys life during this period.It is known that the figure of Babur is embodied in the eyes of the people as a lyrical poet who grew out of the Uzbek people. The lines of his work, polished with elegance and freshness, dedicated to the current and various social issues of his life, have been read with love for centuries, and his melodious and melodious ghazals still bring silence and joy to hearts.It should be noted that not all of Baburs creative fans are aware of the fact that Babur was a famous military leader and statesman, that he founded a powerful state empire in North India, and that the Babur dynasty ruled India for more than three centuries. Sevar Ilyasovna Shamuradova "The Organization and Development of the Baburi State" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53939.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/53939/the-organization-and-development-of-the-baburi-state/sevar-ilyasovna-shamuradova
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| The Use of Gaming Technologies in Teaching the Russian Language | | Author : Khamraeva Guli | | Abstract | Full Text | Abstract :The use of gaming technologies makes it possible to increase the motivation of students to study and make their position more active. This article is devoted to the use of communicative games in pedagogical practice aimed at fixing language constructions, memorizing lexical units and improving the skills of coherent, dialogical speech. The purpose of this article is to study and systematize game techniques aimed at developing communicative competence. The relevance of the research is determined by the growing interest in non traditional forms of classes, the communicative orientation of modern educational technologies. Khamraeva Guli "The Use of Gaming Technologies in Teaching the Russian Language" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53940.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53940/the-use-of-gaming-technologies-in-teaching-the-russian-language/khamraeva-guli
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| Topical Issues of Teaching Russian as a Foreign Language through Internet Resources | | Author : Khamraeva Guli | | Abstract | Full Text | Abstract :The article deals with topical issues of teaching Russian as a foreign language application of information technologies, Internet resources and training in non verbal means of communication in teaching. Khamraeva Guli "Topical Issues of Teaching Russian as a Foreign Language through Internet Resources" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53941.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53941/topical-issues-of-teaching-russian-as-a-foreign-language-through-internet-resources/khamraeva-guli
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| Modern Youth and Family Relations in the Age of Globalization | | Author : Rakhimjonova Gulzira | Tursunov Sokol | | Abstract | Full Text | Abstract :This article presents modern actual young people and their attitude to family life, and at the same time highlights the main functions, types of families, the importance of family values. In addition, the importance of family upbringing and the shortcomings that are allowed were touched upon. Rakhimjonova Gulzira | Tursunov Sokol "Modern Youth and Family Relations in the Age of Globalization" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53947.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53947/modern-youth-and-family-relations-in-the-age-of-globalization/rakhimjonova-gulzira
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| Modern Youth and Family Relations in the Age of Globalization | | Author : Rakhimjonova Gulzira | Tursunov Sokol | | Abstract | Full Text | Abstract :This article presents modern actual young people and their attitude to family life, and at the same time highlights the main functions, types of families, the importance of family values. In addition, the importance of family upbringing and the shortcomings that are allowed were touched upon. Rakhimjonova Gulzira | Tursunov Sokol "Modern Youth and Family Relations in the Age of Globalization" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53947.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53947/modern-youth-and-family-relations-in-the-age-of-globalization/rakhimjonova-gulzira
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| Linguistic Examination of Artistic Text | | Author : Masharipova Umidakhon | | Abstract | Full Text | Abstract :The systematization and application of special methodological principles and categories in the linguistic examination of a literary text is a criterion that determines the effectiveness of the study. Masharipova Umidakhon "Linguistic Examination of Artistic Text" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53951.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53951/linguistic-examination-of-artistic-text/masharipova-umidakhon
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| The History and Significance of the Construction of Hydrotechnical Constructions in Uzbekistan in the middle Ages Example of Abdullakhan Bandi | | Author : Uralov Akbarali Sindarovich | Bakhodirov Abrorkhan Faizulla | | Abstract | Full Text | Abstract :In this article, the history of the construction of hydrotechnical structures in the Middle Ages is covered in the 80s of the 16th century by the Khan of Bukhara, Abdulla Khan II, as an example of the dam built in the Nurota oasis. The reservoir is located in the Beklarsoy Gorge, and little information about it has been preserved in various books. The history and significance of the construction of Abdulla Khanbandi was described in detail for the first time in the article. Uralov Akbarali Sindarovich | Bakhodirov Abrorkhan Faizulla "The History and Significance of the Construction of Hydrotechnical Constructions in Uzbekistan in the middle Ages (Example of Abdullakhan Bandi)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53952.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53952/the-history-and-significance-of-the-construction-of-hydrotechnical-constructions-in-uzbekistan-in-the-middle-ages-example-of-abdullakhan-bandi/uralov-akbarali-sindarovich
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| Sanskrit Teaching Condition and Direction | | Author : Dr. Lata Sharma | | Abstract | Full Text | Abstract :The thousands of years old Indian culture was facing a destructive destructive greedy civilization which was destroying the traditional vision of India in the name of progress and westernization. Indian traditional cultural sense is not a sense of individual or fragmented autonomy, nor does it live on the symbols of the past, as is the case in Western thought. Dr. Lata Sharma "Sanskrit Teaching: Condition and Direction" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | International Conference of Multidisciplinary Research , September 2023, URL: https://www.ijtsrd.com/papers/ijtsrd60082.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/sanskrit/60082/sanskrit-teaching-condition-and-direction/dr-lata-sharma
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| Karakalpakfilm Documentary Film | | Author : Jumagalieva Aynura Esengeldievna | | Abstract | Full Text | Abstract :Karakalpakfilm seeks to bring todays issues to the forefront of its problems. While many documentary tapes are stored in metal boxes, you turn on the projector and look at the screen, the events of many years ago, the gifts, the stories of our compatriots. Immortal images come to life again. Jumagalieva Aynura Esengeldievna "Karakalpakfilm: Documentary Film" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53956.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/journalism/53956/karakalpakfilm-documentary-film/jumagalieva-aynura-esengeldievna
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| Pathophysiology of Placenta and Fetus in Diabetes Mellitus | | Author : Lapasova Zebiniso Khidirovna | | Abstract | Full Text | Abstract :Placental transport of substances in conditions of diabetes mellitus The placenta ensures the growth and development of the fetus through the exchange of a wide range of substances with the mothers body. Uteroplacental and fetoplacental blood flow perform an important function for the delivery and removal of metabolic products. The placental barrier is represented by the membrane of the microvilli of the syncytiotrophoblast, which is in direct contact with maternal blood in the interstitial space 1 . This structure of the placenta increases the exchange surface by 7 times. Lapasova Zebiniso Khidirovna "Pathophysiology of Placenta and Fetus in Diabetes Mellitus" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53957.pdf Paper URL: https://www.ijtsrd.com/biological-science/pathology/53957/pathophysiology-of-placenta-and-fetus-in-diabetes-mellitus/lapasova-zebiniso-khidirovna
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| In the Process of Primary Class Reading Lessons Methods of using Pedagogical Technologies | | Author : Kalandarova Gulchekhra | | Abstract | Full Text | Abstract :Today, the methodical features of organizing interesting lessons and building skills of applying to everyday life based on moving exhibitions and problem situations based on competence approaches in improving the efficiency of the lesson have been revealed. Kalandarova Gulchekhra "In the Process of Primary Class Reading Lessons Methods of using Pedagogical Technologies" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53949.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53949/in-the-process-of-primary-class-reading-lessons-methods-of-using-pedagogical-technologies/kalandarova-gulchekhra
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| Indicator of Spatial Time Dynamics of Population Health of the Republic of Karakalpakstan | | Author : Tadjibaeva M. K. | | Abstract | Full Text | Abstract :Ecologically caused changes in the health status of the population can manifest themselves both in the form of the appearance of new, previously unknown ecological diseases, which occurs very rarely and is a consequence of the emergence of extreme situations in the environment, and in the form of certain shifts in the background level of mortality, reproductive health and other indicators of health, and the resulting adverse effects are defined as environmentally related or environmentally dependent diseases. Tadjibaeva M. K. "Indicator of Spatial Time Dynamics of Population Health of the Republic of Karakalpakstan" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53950.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53950/indicator-of-spatial-time-dynamics-of-population-health-of-the-republic-of-karakalpakstan/tadjibaeva-m-k
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| Gradual Connections in the System of Sentence Fragments in the Uzbek Language | | Author : Umidj?n Yigitaliyev | Shohruhbek Umidjonov | | Abstract | Full Text | Abstract :This article examines the gradual connections of sentence fragments on the example of the sources of the Uzbek language under the influence of the linguistic atom ”person . Umidj?n Yigitaliyev | Shohruhbek Umidjonov "Gradual Connections in the System of Sentence Fragments in the Uzbek Language" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53953.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53953/gradual-connections-in-the-system-of-sentence-fragments-in-the-uzbek-language/umidjn-yigitaliyev
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| The Role of the Uzbek Language in Society | | Author : Sharabova Nafisa Shodmonovna | | Abstract | Full Text | Abstract :To date, the main goal of education is not only the accumulation of certain knowledge, skills, abilities by the student, but also the preparation of the student as an independent subject of educational activity. At the heart of modern education is the activity of the student, directed by the teacher. It is this goal of educating a creative, active person who knows how to learn and improve independently, and the main tasks of modern education are subordinated. Sharabova Nafisa Shodmonovna "The Role of the Uzbek Language in Society" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53967.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53967/the-role-of-the-uzbek-language-in-society/sharabova-nafisa-shodmonovna
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| Pathophysiological Mechanisms of Pain Syndromes | | Author : Lapasova Muxtaram Shermuxamedovna | | Abstract | Full Text | Abstract :Pain is the most common symptom that causes suffering to millions of people and for a doctor, pain treatment is one of the first tasks. Thanks to numerous electrophysiological, morphological, neurochemical and clinical studies, significant material has been accumulated to date on the study of pain mechanisms. Experimental data on the role of free nerve endings in the perception of damaging stimuli were obtained, a clear connection was revealed between the A delta and C afferent fibers of peripheral nerves with pain sensations in humans, the main ascending pathways and nerve structures of the spinal cord, brain stem, visual tubercle and cerebral cortex, which transmit and process pain information, were traced. Neurotransmitters mediating pain reactions have been identified. The structures of the spinal cord and brain, chemicals and their receptors providing pain suppression have been established. Subtle mechanisms of interneuronal interaction in changing pain sensitivity in inflammation, trauma, ischemia, and damage to nerve structures are shown. And finally, the important role of the psychological state of a person in the perception of pain is clearly demonstrated. Understanding the essence of pain, the mechanisms that regulate pain sensitivity, and a clear understanding of the etiopathogenesis of pain syndromes are the key to their successful treatment. Lapasova Muxtaram Shermuxamedovna "Pathophysiological Mechanisms of Pain Syndromes" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53958.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53958/pathophysiological-mechanisms-of-pain-syndromes/lapasova-muxtaram-shermuxamedovna
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| Pathogenetic Basis of Placental Uterine Blood Flow Disorders | | Author : Lapasova Zebiniso Khidirovna | | Abstract | Full Text | Abstract :The physiological development of the placenta depends on sufficient oxygenation and metabolism through the placenta, which is provided by hemochoric placentation. This requires the appropriate transformation of the maternal spiral arteries of the myometrium by trophoblast during its invasion. As a result, optimal contact between the uterus and placenta and a well developed vascular network are formed, which directly depends on the successful invasion of the trophoblast, the processes of vasculogenesis and angiogenesis. The blastocyst can be implanted into the endometrium within a relatively short period of time, called the implantation window . Lapasova Zebiniso Khidirovna "Pathogenetic Basis of Placental-Uterine Blood Flow Disorders" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53960.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53960/pathogenetic-basis-of-placentaluterine-blood-flow-disorders/lapasova-zebiniso-khidirovna
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| Publicistic Style, Newspaper Language | | Author : Allamuratova Dinara Xayraddin Kizi | | Abstract | Full Text | Abstract :Since the early days of the independence of the Republic of Uzbekistan, the policy has completely changed, and great importance is being paid to planning and development. As a result of this, the number of the press is increasing day by day. The tools of the victory message are powerful and fast moving. The press role in the society is changed, its plans are determined, and the tools of victory are provided with the necessary rules it has become one of the organs of our government at the level of national politics. Allamuratova Dinara Xayraddin Kizi "Publicistic Style, Newspaper Language" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53962.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/journalism/53962/publicistic-style-newspaper-language/allamuratova-dinara-xayraddin-kizi
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| Pathophysiology of Arteriovenous Fistula | | Author : Pardayeva Zilola Suvonkulovna | | Abstract | Full Text | Abstract :Literary data about the basic hemodynamic effects resulting from arteriovenous fistula construction in different times of functioning. Pardayeva Zilola Suvonkulovna "Pathophysiology of Arteriovenous Fistula" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53961.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53961/pathophysiology-of-arteriovenous-fistula/pardayeva-zilola-suvonkulovna
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| Pulmonary Oedema Physiology of Lung Circulation, Pathophysiology of Pulmonary Oedema | | Author : Kurbanova Gulbaxor Aslamovna | | Abstract | Full Text | Abstract :In modern medical practice, there are several clinical forms of pulmonary edema cardiogenic and non cardiogenic pulmonary edema, acute lung injury, acute respiratory distress syndrome, neurogenic pulmonary edema. Blood transport is facilitated by low pressure in the circulatory system and relatively low vascular resistance to blood flow. In an extremely short time, which does not exceed 1 s, the diffusion of oxygen and carbon dioxide occurs, i.e. one of the main functions of the lungs is realized — gas exchange. Another important function of pulmonary circulation is the release and metabolism of a large group of mediators involved in the most diverse processes of the human body. Kurbanova Gulbaxor Aslamovna "Pulmonary Oedema: Physiology of Lung Circulation, Pathophysiology of Pulmonary Oedema" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53963.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53963/pulmonary-oedema-physiology-of-lung-circulation-pathophysiology-of-pulmonary-oedema/kurbanova-gulbaxor-aslamovna
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| Breast Cancer, Detection Methods, Symptoms, Causes and Treatment | | Author : Shernazarov Farrukh | | Abstract | Full Text | Abstract :Breast cancer oncology is a disease caused by the transformation of normal breast cells into cancer cells. Breast cancer is the second most common type of cancer after lung cancer and is the most common cancer among women. About 10 of women aged 13 90 are affected by this disease. This disease is less common in men 1 . Shernazarov Farrukh "Breast Cancer, Detection Methods, Symptoms, Causes and Treatment" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53965.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53965/breast-cancer-detection-methods-symptoms-causes-and-treatment/shernazarov-farrukh
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| The Influence of Social Networks on the Human Psyche | | Author : Sharabova Nafisa Shodmonovna | Shodmonova Sevinch | | Abstract | Full Text | Abstract :To date, the main goal of education is not only the accumulation of certain knowledge, skills, abilities by the student, but also the preparation of the student as an independent subject of educational activity. At the heart of modern education is the activity of the student, directed by the teacher. It is this goal of educating a creative, active person who knows how to learn and improve independently, and the main tasks of modern education are subordinated. Sharabova Nafisa Shodmonovna | Shodmonova Sevinch "The Influence of Social Networks on the Human Psyche" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53968.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53968/the-influence-of-social-networks-on-the-human-psyche/sharabova-nafisa-shodmonovna
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| Design of the Roof Structure for the 2000 Seat Tribune of the Rowing Channel | | Author : Jamolova Mohigul Xudoyberdi Qizi | Kulmirzayev Jakhongir Ilkhomidinovich | | Abstract | Full Text | Abstract :The main goal of this article is to research and effectively design the roof construction options for the 2000 seat tribune of the rowing canal, which is widely used in the construction industry of our Republic today, to solve the current problems, and to create the optimal forms of metal roof constructions, modern truss and arch structural forms. consists of improvement and calculation. Jamolova Mohigul Xudoyberdi Qizi | Kulmirzayev Jakhongir Ilkhomidinovich "Design of the Roof Structure for the 2000-Seat Tribune of the Rowing Channel" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53969.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53969/design-of-the-roof-structure-for-the-2000seat-tribune-of-the-rowing-channel/jamolova-mohigul-xudoyberdi-qizi
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| Human Impact on Water Sources as a Result of Environmental Pollution | | Author : Shahboz Vahobovich Esanmurodov | Gulchexra Rashidkhodjaevna Rikhsikhodjaeva | | Abstract | Full Text | Abstract :The article examines the issues of drinking water supply, disintegration of the composition of drinking water. The effect of man made impacts on nature has influenced the quality of surface water assets in numerous districts of the Soil, counting within the Republic of Uzbekistan, making them unacceptable for drinking purposes in a few cases. Shahboz Vahobovich Esanmurodov | Gulchexra Rashidkhodjaevna Rikhsikhodjaeva "Human Impact on Water Sources as a Result of Environmental Pollution" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55064.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/enviormental-science/55064/human-impact-on-water-sources-as-a-result-of-environmental-pollution/shahboz-vahobovich-esanmurodov
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| Main Problems of Intercultural Communication as a Factor of Modern Society Development | | Author : Adilova Zilola Xushnudovna | | Abstract | Full Text | Abstract :The article deals with the main problems of intercultural communication. The author pays special attention to the formation of communication practices in modern society, which is trying to overcome intercultural differences. The purpose of this study is to explore the issue of the impact of the globalization process on modern culture. The result of this study is the confirmation of the fact regarding cultural globalization. Adilova Zilola Xushnudovna "Main Problems of Intercultural Communication as a Factor of Modern Society Development" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53984.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53984/main-problems-of-intercultural-communication-as-a-factor-of-modern-society-development/adilova-zilola-xushnudovna
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| Peculiarities and Problems of Fiction Translation | | Author : Ahunova Nozima Nurullohonovna | | Abstract | Full Text | Abstract :This article discusses the problem and peculiarities of translation of fiction form English into Russian. We looked into translation of idioms and phrases. To solve the problem put forward we chose the methods of research such as method of theoretical analysis, the method of observation and comparative analysis. Ahunova Nozima Nurullohonovna "Peculiarities and Problems of Fiction Translation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55118.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/55118/peculiarities-and-problems-of-fiction-translation/ahunova-nozima-nurullohonovna
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| Use of Games in Learning Foreign Language at the University | | Author : Saodatkhan Saidullayevna Khodjaeva | | Abstract | Full Text | Abstract :The article discusses the possibilities of using word games in the process of teaching a foreign language at a university. The main classifications of games are given, with the main attention being paid to games of a lexical nature. The article substantiates the conditions that allow use word games as efficiently as possible in foreign language classes, as well as examples of games at different stages of work with students. Saodatkhan Saidullayevna Khodjaeva "Use of Games in Learning Foreign Language at the University" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53993.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/53993/use-of-games-in-learning-foreign-language-at-the-university/saodatkhan-saidullayevna-khodjaeva
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| History of English and Uzbek Idioms | | Author : Mannonova S. | Jabborova S. | | Abstract | Full Text | Abstract :A speaker or writer often uses idioms to convey a message to someone else in a more creative way. Think of them as a type of spice that prevents your conversation or writing from being too bland. There is another type of idiomatic usage used by fluent English speakers, and it’s called collocations, or a combination of words that have a specific meaning. Mannonova S. | Jabborova S. "History of English and Uzbek Idioms" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53994.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/53994/history-of-english-and-uzbek-idioms/mannonova-s
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| Teaching Agrarian Students in Phraseology with the Names of Fruit in English | | Author : Shoynazarova Vazira Khushbakovna | Ergasheva Umida Asad qizi | | Abstract | Full Text | Abstract :This article discusses the teaching agrarian students in phraseology with the names of fruit in English based on the topic of horticulture . Shoynazarova Vazira Khushbakovna | Ergasheva Umida Asad qizi "Teaching Agrarian Students in Phraseology with the Names of Fruit in English" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55034.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/55034/teaching-agrarian-students-in-phraseology-with-the-names-of-fruit-in-english/shoynazarova-vazira-khushbakovna
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| The Phenomenon of Polysemy in French Phraseologisms and their Meaning Etymology | | Author : Sindarov Feruz Xaldarovich | | Abstract | Full Text | Abstract :This article presents a number of information about the methods of emergence of French phraseological compounds, their history and etymology. At the same time, the ways of the emergence of phraseological combinations are quite problematic, and the existence of its undiscovered aspects requires a lot of research. Sindarov Feruz Xaldarovich "The Phenomenon of Polysemy in French Phraseologisms and their Meaning Etymology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55056.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/55056/the-phenomenon-of-polysemy-in-french-phraseologisms-and-their-meaning-etymology/sindarov-feruz-xaldarovich
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| Fanas Interpretations in Khamsa Episodes of Alisher Navoi | | Author : Kakhhorova Shakhnoza Abdimuminovna | | Abstract | Full Text | Abstract :Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55057.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/55057/fanas-interpretations-in-khamsa-episodes-of-alisher-navoi/kakhhorova-shakhnoza-abdimuminovna
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| On the Issue of Efficiency in the Transportation of Oil Products by Main Pipelines | | Author : Kuvondikov Kuvonchbek Rozimurod | Esanmurodov Shakhboz Vakhobjon | Rikhsikhodjayeva Gulchekhra Rashidkhodjayevn | | Abstract | Full Text | Abstract :Pipeline transportation of oil products can rightfully be called the most unusual form of transportation. Today, Uzbekistan is starting to supply oil to the world. It provides an opportunity to deliver oil, diesel fuel, gasoline in any direction and in practically unlimited quantities. Transportation of oil products through pipelines allows for the continuous pumping of various types of oil and gas. Its work does not depend on climate, geographical location, year or time of day that is, it is carried out continuously and systematically. A pipeline route is always shorter than a road or rail route, so transportation along it is faster. In addition, pipeline transportation of petroleum products has the best technical and economic indicators compared to other modes of transportation. Its use helps to reduce the loss of oil products, reduce energy consumption and reduce the need for maintenance personnel. Disadvantages include the lack of flexibility in the logistics scheme of transport after the pipeline is laid, it will not be possible to change or adjust the route of transport. Kuvondikov Kuvonchbek Rozimurod | Esanmurodov Shakhboz Vakhobjon | Rikhsikhodjayeva Gulchekhra Rashidkhodjayevn "On the Issue of Efficiency in the Transportation of Oil Products by Main Pipelines" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55065.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/55065/on-the-issue-of-efficiency-in-the-transportation-of-oil-products-by-main-pipelines/kuvondikov-kuvonchbek-rozimurod
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| Hygienic Assessment of Food and Biological the Values of Wheat Grain Grown with the Use of Plant Growth Stimulants Rostbisol, Oxyhumate, Bakor and Dorilin | | Author : Kuriyazova Saodat Matkarimovna | Pulat Khojamkulovich Kholikov | Husainova Khusniabad | | Abstract | Full Text | Abstract :Hygienic assessment of food products obtained from food crops treated with pesticides and the establishment of permissible residual amounts of pesticides in them is an important link in the system of measures that ensure the prevention of poisoning with pesticides and prevent the possibility of harmful effects on public health. Kuriyazova Saodat Matkarimovna | Pulat Khojamkulovich Kholikov | Husainova Khusniabad "Hygienic Assessment of Food and Biological the Values of Wheat Grain Grown with the Use of Plant Growth Stimulants: Rostbisol, Oxyhumate, Bakor and Dorilin" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55066.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/55066/hygienic-assessment-of-food-and-biological-the-values-of-wheat-grain-grown-with-the-use-of-plant-growth-stimulants-rostbisol-oxyhumate-bakor-and-dorilin/kuriyazova-saodat-matkarimovna
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| Innovation Formation of Technological Competencies Based on the Approach | | Author : Akhunjonova Iroda Khan Joraboy | | Abstract | Full Text | Abstract :In the educational process, it was considered as an important factor to conduct classes based on innovations or innovative approaches, to include innovative educational elements in the activities of educational institutions, and to have an understanding of pedagogical innovations. Akhunjonova Iroda Khan Joraboy "Innovation Formation of Technological Competencies Based on the Approach" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55067.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/55067/innovation-formation-of-technological-competencies-based-on-the-approach/akhunjonova-iroda-khan-joraboy
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| The Significance and Place of Building Womens Support Centers in Samarkand Region | | Author : Kayumov H. I | Hayitmuradova Sofia Bakhodir qizi | | Abstract | Full Text | Abstract :Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55112.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/55112/the-significance-and-place-of-building-womens-support-centers-in-samarkand-region/kayumov-h-i
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| Use of Interactive Educational Methods to Improve the Legal Culture of Future Customs Service Employees | | Author : Rafikova Muattar Ravshanovna | | Abstract | Full Text | Abstract :The article discusses the use of interactive teaching methods to improve the legal culture of future customs officers, the development of the interest of future customs officers in lessons, voluntary participation, self study, the desire for self legal education. Rafikova Muattar Ravshanovna "Use of Interactive Educational Methods to Improve the Legal Culture of Future Customs Service Employees" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55068.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/55068/use-of-interactive-educational-methods-to-improve-the-legal-culture-of-future-customs-service-employees/rafikova-muattar-ravshanovna
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| Experience of Studying the Historical and Urban Potential of the Republic of Uzbekistan | | Author : Malakhat Muhidzhanovna Umarova | | Abstract | Full Text | Abstract :This article examines the history of development and the stages of the formation of cities in Uzbekistan. The development of cities is divided into 4 stages, each stage gave a new round of development in the history of urban planning. In the modern development of cities, the need to take into account the historical features of development. Malakhat Muhidzhanovna Umarova "Experience of Studying the Historical and Urban Potential of the Republic of Uzbekistan" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55075.pdf Paper URL: https://www.ijtsrd.com/engineering/civil-engineering/55075/experience-of-studying-the-historical-and-urban-potential-of-the-republic-of-uzbekistan/malakhat-muhidzhanovna-umarova
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| Professional Competence of the Teacher | | Author : Saparniyazova Zukhra Abdullayevna | | Abstract | Full Text | Abstract :The article deals with the professional competence of a teacher, which is a qualitative characteristic of a person and is defined as a multifactorial phenomenon that includes a system of theoretical knowledge, ways of their application in specific pedagogical situations. Saparniyazova Zukhra Abdullayevna "Professional Competence of the Teacher" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55071.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/55071/professional-competence-of-the-teacher/saparniyazova-zukhra-abdullayevna
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| Metacognitive Strategies and their Effective Use in Teaching Foreign Languages | | Author : Jorayeva Afruza Togaymurod | Jurakulov Gulomjon Hamrayevich | | Abstract | Full Text | Abstract :This article deals with metacognitive strategies and appropriate learning styles investigated by well known scientists and methodologists. Moreover, there will be precise description and views about problems and solutions to different learning styles. Learning a second or foreign language plays a crucial role in almost everyone’s life. It is not only about language learning, but also it helps to enhance skills or mind and can broaden one’s horizon. Students try to find easy ways to achieve success in learning and metacognitive strategies can assist them effectively and to make a better progress. Learning a second language has always been top issue in education system as it has both problems and together with that there are different strategies concerned with those matters. And metacognitive strategies are also considered as one of the approaches to that issue of language learning. Jorayeva Afruza Togaymurod | Jurakulov Gulomjon Hamrayevich "Metacognitive Strategies and their Effective Use in Teaching Foreign Languages" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55072.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/55072/metacognitive-strategies-and-their-effective-use-in-teaching-foreign-languages/jorayeva-afruza-togaymurod
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| Household Lexicon in the Work Mahbub Ul Qulub | | Author : Muminova Umida Karshievna | | Abstract | Full Text | Abstract :This article contains the genesis of terms that represent the household lexicon in the language of the work, comments on the names of clothes and fabrics, clothing is also related to the region, conditions, lifestyle, traditions, customs, and nature of each people living since ancient times. closely related, indicates that this situation is expressed in the vocabulary layer of the language. Muminova Umida Karshievna "Household Lexicon in the Work "Mahbub Ul-Qulub"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55073.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/55073/household-lexicon-in-the-work-mahbub-ulqulub/muminova-umida-karshievna
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| Educational Technologies and the Role of Teaching Technologies in the Educational Process | | Author : Toshmatova Mavlyuda Botabayevna | | Abstract | Full Text | Abstract :The essence of the educational content, the innovative approaches of our country and the world experience, the introduction of teaching technologies into the field of education are highlighted. Toshmatova Mavlyuda Botabayevna "Educational Technologies and the Role of Teaching Technologies in the Educational Process" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55074.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/55074/educational-technologies-and-the-role-of-teaching-technologies-in-the-educational-process/toshmatova-mavlyuda-botabayevna
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| History of the Concept of Philosophical Teachings about the Perfect Man | | Author : Azizova Laylo Sadriyevna | | Abstract | Full Text | Abstract :In our article, the tariffs given by eastern and western scholars about the perfect person, as well as the concept of the perfect person are briefly revealed. Views on the perfect person and their philosophical categories are explained. Azizova Laylo Sadriyevna "History of the Concept of Philosophical Teachings about the Perfect Man" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55076.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/philosophy/55076/history-of-the-concept-of-philosophical-teachings-about-the-perfect-man/azizova-laylo-sadriyevna
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| Traditional Forms of Organizing Recreation and Leisure Spaces in the Cities of Uzbekistan | | Author : Halida Habibullaevna Kamilova | Kamilla Djumaevna Sattarova | | Abstract | Full Text | Abstract :Despite the traditional craving for relaxation in their personal space, at the present time, most of the residents of large and especially the largest cities in Asia cannot have such an opportunity. Therefore, to recuperate, people will use public spaces. The task of the state is to provide such conditions for the mass of people who do not have the possibility of individual space for recreation. Halida Habibullaevna Kamilova | Kamilla Djumaevna Sattarova "Traditional Forms of Organizing Recreation and Leisure Spaces in the Cities of Uzbekistan" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55077.pdf Paper URL: https://www.ijtsrd.com/engineering/civil-engineering/55077/traditional-forms-of-organizing-recreation-and-leisure-spaces-in-the-cities-of-uzbekistan/halida-habibullaevna-kamilova
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| The Social Significance of Roads and Ongoing Road Construction Work | | Author : Salimov Bakhriddin Lutfullaevich | Narzullaev Jasur Azamjonovich | Sodikov Tohirjon Ilkhomovich | | Abstract | Full Text | Abstract :The article focuses on the roads on which cars travel. the fact that roads existed before the creation of cars, but these roads were primarily intended for people, various animals, including horses and carts drawn by them, that over the years and centuries, people have made these roads convenient and adapted for themselves, and the great creativity in road construction in Uzbekistan works and their importance are analyzed. Salimov Bakhriddin Lutfullaevich | Narzullaev Jasur Azamjonovich | Sodikov Tohirjon Ilkhomovich "The Social Significance of Roads and Ongoing Road Construction Work" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55078.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/55078/the-social-significance-of-roads-and-ongoing-road-construction-work/salimov-bakhriddin-lutfullaevich
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| The Role of Media in Teaching Agriculture | | Author : Annaguliyev Jamshid | Allamurodov Yigitali | | Abstract | Full Text | Abstract :The purpose of the article is to consider new approaches in the preparation of students of an agricultural university with the support of modern information and communication technologies ICT . The transition of agricultural education and methods of preparing students to new educational programs and standards, modern information platforms, digital technologies, information resources and online courses is obvious, allowing to improve the professional level of knowledge, skills and abilities. The article is of interest for further research of innovative solutions in the field of digital transformation of agricultural education. Annaguliyev Jamshid | Allamurodov Yigitali "The Role of Media in Teaching Agriculture" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55113.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/55113/the-role-of-media-in-teaching-agriculture/annaguliyev-jamshid
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| The Role of Civil Aviation in the Development of Countries | | Author : Salimov Bakhriddin Lutfullaevich | Olimov Kamronbek Holmuminovich | Mukhammadibrokhim Ikromjonovich | | Abstract | Full Text | Abstract :The article provides information about the emergence of air transport and its penetration into Central Asia. It was also analyzed that during the years of independence, unprecedented works were carried out in the field as a result of the development of air transport along with all types of transport in Uzbekistan, aimed at improving the economy and technology, as a result of optimally effective management of resources. Salimov Bakhriddin Lutfullaevich | Olimov Kamronbek Holmuminovich | Mukhammadibrokhim Ikromjonovich "The Role of Civil Aviation in the Development of Countries" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55079.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/55079/the-role-of-civil-aviation-in-the-development-of-countries/salimov-bakhriddin-lutfullaevich
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| Prevention of Chronic Kidney Diseases | | Author : Rasulova Nilufar | Aminova Asalya | | Abstract | Full Text | Abstract :Chronic kidney disease CKD is a serious public health problem in developed countries both because of the large number of patients and because of the high cost of treatment when prevention strategies are not implemented effectively. Primary prevention of CKD can be achieved by taking measures to ensure healthy kidney development. Public health strategies to prevent diabetes, hypertension and obesity as risk factors for CKD are important. These approaches are cost effective and reduce the overall burden of noncommunicable diseases. Strategies for the prevention of non traditional CKD risk factors, including exposure to nephrotoxins, kidney stones, infections, environmental exposure and acute renal failure AKI should be adapted to local needs and epidemiology. Early diagnosis and treatment of CKD risk factors, such as diabetes, obesity and hypertension, are the key to primary prevention of CKD. CKD tends to occur more often and progress faster among the indigenous population, minorities and socio economically disadvantaged segments of the population. Special attention is required to meet the needs of these population groups in the prevention of CKD. Effective secondary prevention of CKD depends on screening at risk individuals for early detection and treatment of CKD using established and new strategies. Rasulova Nilufar | Aminova Asalya "Prevention of Chronic Kidney Diseases" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52690.pdf Paper URL: https://www.ijtsrd.com/medicine/other/52690/prevention-of-chronic-kidney-diseases/rasulova-nilufar
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| Clinical Cases of the Development of a Nonspecific Course of Pneumonia in Adolescents | | Author : Muminov Otamurod Beknazarovich | Umirzakov Zakir Baxriddinovich | Mamirov Asamiddin Egamberdiyevich | | Abstract | Full Text | Abstract :We conducted a literature review of the materials published in recent years on the prevalence and diagnosis of nonspecific interstitial pneumonia. It is noted that non specific interstitial lung pneumonia is no longer a rare disease. Muminov Otamurod Beknazarovich | Umirzakov Zakir Baxriddinovich | Mamirov Asamiddin Egamberdiyevich "Clinical Cases of the Development of a Nonspecific Course of Pneumonia in Adolescents" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55080.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/55080/clinical-cases-of-the-development-of-a-nonspecific-course-of-pneumonia-in-adolescents/muminov-otamurod-beknazarovich
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| Prospects for the Development of Communication and Transport Systems in Uzbekistan | | Author : Salimov Bakhriddin Lutfullaevich | Jurakulov Xisrav Juraevich | Usmonov Kamronbek Bakhtiyorovich | | Abstract | Full Text | Abstract :The article analyzes the fact that the creation of society, which is the fruit of social relations, saved people from primitive times, and that the creation of society played an important role in the strengthening of the position of communication in peoples lifestyle, the emergence of the need for transportation and its further development. Salimov Bakhriddin Lutfullaevich | Jurakulov Xisrav Juraevich | Usmonov Kamronbek Bakhtiyorovich "Prospects for the Development of Communication and Transport Systems in Uzbekistan" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55081.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/55081/prospects-for-the-development-of-communication-and-transport-systems-in-uzbekistan/salimov-bakhriddin-lutfullaevich
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| Importance of Railway Transport in Regional Development | | Author : Salimov Bakhriddin Lutfullaevich | Alliyarov Azizbek Vladimirovich | Mukhtarov Jasur Abdumanapovich | | Abstract | Full Text | Abstract :The article provides information about the emergence of railway transport and its introduction into Central Asia. Also, it was analyzed that during the years of independence, unprecedented works were carried out in the field of development of railway transport, economy and technology, as a result of efficient management of resources, along with all types of transport in Uzbekistan. Salimov Bakhriddin Lutfullaevich | Alliyarov Azizbek Vladimirovich | Mukhtarov Jasur Abdumanapovich "Importance of Railway Transport in Regional Development" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55082.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/55082/importance-of-railway-transport-in-regional-development/salimov-bakhriddin-lutfullaevich
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| Study of Plot, Motive, Composition and Linguopoetics in Uzbek Epics | | Author : Maksudakhan Khakimova Gofurjan | | Abstract | Full Text | Abstract :A set of customary and mandatory ways of perceiving the world historically formed, stabilized and characteristic of each language community creates a linguistic landscape of the world. The linguistic landscape of the world is a set of universal and at the same time nationally specific ways of perceiving and conceptualizing the world. Maksudakhan Khakimova Gofurjan "Study of Plot, Motive, Composition and Linguopoetics in Uzbek Epics" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52461.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/other/52461/study-of-plot-motive-composition-and-linguopoetics-in-uzbek-epics/maksudakhan-khakimova-gofurjan
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| Vitiligo Because of Determining the Content of Natural Antibodies to Various Organis and Tissues of the Body and Detecting the General Somatic Status of Patients | | Author : Islamov Nurali Hikmatovich | Muminov Otamurod Beknazarovich | Ermanov Rustam Temirovich | | Abstract | Full Text | Abstract :Vitiligo disease is a violation of the color of the skin in the form of white spots, the histological examination of which reveals the absence or a sharp decrease in the content of melanin. Based on the determination of the content of natural antibodies to various organs and tissues of the body in the blood serum of patients with vitiligo, to assess the general somatic status of patients with vitiligo. The present study included 53 patients with various forms and stages of vitiligo, aged 12 to 59 years, who were on outpatient treatment at the clinic for skin and venereal diseases of the regional center of the city of Samarkand in the period from 2019 to 2021. To compare the results of laboratory studies, a group of 10 healthy donors was examined. It is necessary to conduct a full examination of patients with vitiligo in order to identify concomitant diseases and possible hidden trigger factors that provoke the development and progression of diseases. The most significant and convenient is the determination of the content of natural antibodies to various organs and tissues of the body by the ELI test, which allows you to identify somatic changes in patients with vitiligo, including at the preclinical stage of disease development. Islamov Nurali Hikmatovich | Muminov Otamurod Beknazarovich | Ermanov Rustam Temirovich "Vitiligo Because of Determining the Content of Natural Antibodies to Various Organis and Tissues of the Body and Detecting the General Somatic Status of Patients" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55083.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/55083/vitiligo-because-of-determining-the-content-of-natural-antibodies-to-various-organis-and-tissues-of-the-body-and-detecting-the-general-somatic-status-of-patients/islamov-nurali-hikmatovich
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| The Development of the Automotive Industry and Road Construction are Interdependent | | Author : Salimov Bakhriddin Lutfullaevich | Abdullaev Umidjon Khasanboevich | Makhkamov Muhammadikbol Rakhimjonovich | | Abstract | Full Text | Abstract :The article analyzes issues such as the creation of its own automobile industry and the progress of road construction in Uzbekistan, the fact that independence opened the door to new opportunities for Uzbekistan and their realization, and the modernization of the countrys transport and communication sectors in accordance with the requirements of the times. Salimov Bakhriddin Lutfullaevich | Abdullaev Umidjon Khasanboevich | Makhkamov Muhammadikbol Rakhimjonovich "The Development of the Automotive Industry and Road Construction are Interdependent" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55084.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/55084/the-development-of-the-automotive-industry-and-road-construction-are-interdependent/salimov-bakhriddin-lutfullaevich
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| Impacts of Game Based Learning in English Classroom | | Author : Islomjon Turdiev | | Abstract | Full Text | Abstract :English language is having more and wider scope in today’s fast moving world as it is being international common language for all over the world. Hence, EFL teachers have to find the best ways of teaching language and they are applying different methods in the classroom. One of the common method is to use games to improve students’ active participation in the classroom. Islomjon Turdiev "Impacts of Game Based-Learning in English Classroom" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55087.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/55087/impacts-of-game-basedlearning-in-english-classroom/islomjon-turdiev
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| Influence of Trace Elements for the Development of Atopic Dermatitis in Children and Adolescents | | Author : Islamov Nurali Hikmatovich | Mamirov Asamiddin Egamberdiyevich | Ermanov Rustam Temirovich | | Abstract | Full Text | Abstract :Atopic dermatitis AD, atopic eczema, atopic eczema dermatitis syndrome is a chronic inflammatory skin disease that usually begins in early childhood and may continue or recur in adulthood.The study of atopic dermatitis remains one of the most urgent problems of modern dermatology due to its wide distribution, severe course, frequent relapses, and the disease of people of the most childhood age. According to statistics, in children it occupies one of the first places for the reasons for the appeal of patients to a dermatological clinic, it causes 30 40 of all skin diseases and 30 40 of cases of hospitalization in a dermatological hospital. The disease occurs in both sexes and in different age groups. The incidence ranges from 6.0 to 15.0 . Islamov Nurali Hikmatovich | Mamirov Asamiddin Egamberdiyevich | Ermanov Rustam Temirovich "Influence of Trace Elements for the Development of Atopic Dermatitis in Children and Adolescents" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55085.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/55085/influence-of-trace-elements-for-the-development-of-atopic-dermatitis-in-children-and-adolescents/islamov-nurali-hikmatovich
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| An Approach on Improving Learners’ Reading Comprehension Skills Trough Call in Teaching Learning Process of EFL Classes | | Author : Soataliyev Alisher Adhamjonovich | | Abstract | Full Text | Abstract :in this article, it is stated that the importance of utilizing computer technologies in the teaching learning process of English, especially reading skill. Soataliyev Alisher Adhamjonovich "An Approach on Improving Learners’ Reading Comprehension Skills Trough Call in Teaching-Learning Process of EFL Classes" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55086.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/55086/an-approach-on-improving-learners’-reading-comprehension-skills-trough-call-in-teachinglearning-process-of-efl-classes/soataliyev-alisher-adhamjonovich
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| Style of Appeal in Poetry | | Author : S. Matyakupov | | Abstract | Full Text | Abstract :Using the example of Rauf, the article scientifically and theoretically analyzes the stylization of address in poetry through the poet’s experiences, communication and relations between man and the world, as well as issues of expression and image in the formation of artistic communication. S. Matyakupov "Style of Appeal in Poetry" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55092.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/55092/style-of-appeal-in-poetry/s-matyakupov
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| The Principles of Waldorf Education and Public Schools in Rising Pupils Spiritually | | Author : S. S. Zuparova | | Abstract | Full Text | Abstract :The article is devoted to determine the philosophy of Waldorf education with Public schools. It evaluates creative study and analyzes a number of philosophical objectives and educational suggestions of the Waldorf and state schools involved in the study. The aim of this research is to identify if there is a notable distinction between the creative thinking ability of Waldorf and public school pupils. S. S. Zuparova "The Principles of Waldorf Education and Public Schools in Rising Pupils Spiritually" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52423.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/52423/the-principles-of-waldorf-education-and-public-schools-in-rising-pupils-spiritually/s-s-zuparova
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| Identification of Clinical and Laboratory Changes in Acute Pneumonia in Young Children Living in an Unfavorable Ecological Environment | | Author : G. M. D Jumaniyazova | U. U. Yusupova | | Abstract | Full Text | Abstract :Object To study the clinical features of children with acute pneumonia living in an environmentally unfavorable environment.Methods 165 children from 1 to 3 years of age living in different regional conditions with acute non hospitalized acute illness were examined, including 120 patients permanently living in the Aral Sea region Khorezm region and 45 patients living in Tashkent comparison group . children were examined. The hemostasis system was studied on the basis of diagnostic anamnesis, clinical signs, instrumental and laboratory diagnoses.Results In determining the severity of the clinical course of Zotiljams disease, anamnestic data, the severity of external respiratory dysfunction and signs of intoxication, radiological changes in the lungs, information on the condition of the cardiovascular system, as well as the severity of disorders in other organs and systems were taken into account. Among the complaints of parents about the condition of their children, the most common was an increase in body temperature from 38.60 to 40.10 C and persisted for 6 8 days. High temperatures were recorded in the majority of children living in the Khorezm region 39.8 ± 1.20C compared to 38.9 ± 1.30C . At admission, the general condition of the children was assessed as moderately severe in 51.7 of cases in the main group and severe in 48.3 of cases, severe in 42.2 of cases in the control group, and moderately severe in 55 of cases. Children from Khorezm. Although children living in Tashkent were more often hospitalized in critical condition, the data were not reliable R 0.05 . G. M. D Jumaniyazova | U. U. Yusupova "Identification of Clinical and Laboratory Changes in Acute Pneumonia in Young Children Living in an Unfavorable Ecological Environment" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55114.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/55114/identification-of-clinical-and-laboratory-changes-in-acute-pneumonia-in-young-children-living-in-an-unfavorable-ecological-environment/g-m-d-jumaniyazova
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| Problems of Application of Digital Technologies in Uzbekistan Agriculture and Development Opportunities | | Author : Ablazov Shohruh Abdukakhhorovich | | Abstract | Full Text | Abstract :The purpose of this article is to study the features of the use and development of digital technologies in the agriculture of the Republic of Uzbekistan. In addition, the article discusses the main strategic directions of digital agriculture, explores approaches to the formation of a digital platform on the example of the agricultural sector of the economy, reveals the reasons for the slowdown of digital transformation, and clarifies the characteristics of information use. The main problems and solutions of innovative development are proposed. Ablazov Shohruh Abdukakhhorovich "Problems of Application of Digital Technologies in Uzbekistan Agriculture and Development Opportunities" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52460.pdf Paper URL: https://www.ijtsrd.com/management/other/52460/problems-of-application-of-digital-technologies-in-uzbekistan-agriculture-and-development-opportunities/ablazov-shohruh-abdukakhhorovich
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| Technology of Propagation of Lemon Plants from Cuttings | | Author : Z. A. Umarov. | J. Agzamkhozhaev. | A. A. Pulatov. | | Abstract | Full Text | Abstract :In this article, propagation of lemon seedlings, phenological observations during their propagation, biological phases during callus and rooting of lemon seedlings are studied in cross section of varieties. Z. A. Umarov. | J. Agzamkhozhaev. | A. A. Pulatov. "Technology of Propagation of Lemon Plants from Cuttings" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52659.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/52659/technology-of-propagation-of-lemon-plants-from-cuttings/z-a-umarov
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| Main Approaches and Methods used in the Logistics System | | Author : Tinicheva Marjona | | Abstract | Full Text | Abstract :This article discusses the methods of managing logistics systems and production systems at the macro and micro levels. Tinicheva Marjona "Main Approaches and Methods used in the Logistics System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52462.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/52462/main-approaches-and-methods-used-in-the-logistics-system/tinicheva-marjona
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| Factors Affecting the Achievement of Macroeconomic Stability in Uzbekistan | | Author : Tuychiyeva Begoyim | | Abstract | Full Text | Abstract :In the following article, todays globalization trends and the analysis of the progress achieved in the more sustainable development of the country in the context of the COVID 19 pandemic and the priorities of future reforms were discussed in detail. Tuychiyeva Begoyim "Factors Affecting the Achievement of Macroeconomic Stability in Uzbekistan" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52657.pdf Paper URL: https://www.ijtsrd.com/economics/other/52657/factors-affecting-the-achievement-of-macroeconomic-stability-in-uzbekistan/tuychiyeva-begoyim
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| The Need to Study Berdaks Life and Work | | Author : Rakhimova Azizabonu Akmalovna | | Abstract | Full Text | Abstract :Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52671.pdf Paper URL: https://www.ijtsrd.com/medicine/other/52671/the-need-to-study-berdaks-life-and-work/rakhimova-azizabonu-akmalovna
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| Developing Learning English as a Second Language | | Author : Habibullayeva Shaxnoza Nuritdinovna | | Abstract | Full Text | Abstract :In this article we focus on second language learners’ developing knowledge and use of their new language. We examine some of the mistakes that learners make and discuss what mistakes can tell us about their knowledge of the language and their ability to use that knowledge. We look at stages and sequences in the acquisition of some syntactic and morphological features in the second language. We also review some aspects of learners’ development of vocabulary, pragmatics and phonology. Habibullayeva Shaxnoza Nuritdinovna "Developing Learning English as a Second Language" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52658.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/52658/developing-learning-english-as-a-second-language/habibullayeva-shaxnoza-nuritdinovna
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| The Importance of Developing Hotel Services in the Digitalized Economy | | Author : Rakhimov Zafar Odilovich | Tursunova Feruza Shavkatovna | | Abstract | Full Text | Abstract :In this article, the significance of the growth of developing hotel services in the context of Uzbekistans economys digitization is discussed, and the reforms and current initiatives in the countrys tourism industry are underlined. On enhancing the organizational, economic, and methodological directions of the growth of the digital economy, in particular the tourism and hotel industries, a number of study works from foreign nations and our national scientists were also reviewed. Rakhimov Zafar Odilovich | Tursunova Feruza Shavkatovna "The Importance of Developing Hotel Services in the Digitalized Economy" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52712.pdf Paper URL: https://www.ijtsrd.com/management/other/52712/the-importance-of-developing-hotel-services-in-the-digitalized-economy/rakhimov-zafar-odilovich
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| Actual Problems in Teaching the Language of the Specialty to University Students | | Author : Matenov Rashid Bekimbetovich | A. V. Tryapelnikov | | Abstract | Full Text | Abstract :The article deals with some actual problems in teaching the language of the specialty to university students. Here the teaching of Russian language as a non native in national groups of universities is discussed as well. Matenov Rashid Bekimbetovich | A. V. Tryapelnikov "Actual Problems in Teaching the Language of the Specialty to University Students" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52752.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/52752/actual-problems-in-teaching-the-language-of-the-specialty-to-university-students/matenov-rashid-bekimbetovich
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| Implementation of Investment Programs and the Preservation and Effective use of New Capacities Created through these Programs | | Author : Khakimov Akbar Anvarovich | | Abstract | Full Text | Abstract :The article scientifically examines the content and directions of state policy on state support of new capacities created within the framework of targeted programs for the development of the national economy. Khakimov Akbar Anvarovich "Implementation of Investment Programs and the Preservation and Effective use of New Capacities Created through these Programs" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52753.pdf Paper URL: https://www.ijtsrd.com/engineering/other/52753/implementation-of-investment-programs-and-the-preservation-and-effective-use-of-new-capacities-created-through-these-programs/khakimov-akbar-anvarovich
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| Innovative Ways of Developing the Export of Business Subjects in the Regions | | Author : Usmonova Dilfuza Ilkhomovna | Ruzikhulova Nilufar Ulugbekovna | Usmanov Shakhzod Shokhrukhovich | | Abstract | Full Text | Abstract :In this article, it is considered to achieve a significant increase in the export of products in such areas as microelectronics, optical fiber, radioelectronic, laser, nuclear and computer technologies, as well as the organization and formation of innovative activities. Usmonova Dilfuza Ilkhomovna | Ruzikhulova Nilufar Ulugbekovna | Usmanov Shakhzod Shokhrukhovich "Innovative Ways of Developing the Export of Business Subjects in the Regions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52779.pdf Paper URL: https://www.ijtsrd.com/economics/other/52779/innovative-ways-of-developing-the-export-of-business-subjects-in-the-regions/usmonova-dilfuza-ilkhomovna
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| Theoretical Comparative Typological Study of Electro Energy Terms in English and Uzbek Languages | | Author : Galiakberova Albina Rinatovna | | Abstract | Full Text | Abstract :This work is devoted to the study of general issues of terminology and terminological activity in the electric power industry based on the material of English and Uzbek languages. The development of the electric power industry affects the state of various industries and the daily lives of people around the world. This industry affects the production of energy, its transmission, distribution and sale. Accordingly, all countries of the world pay due attention to it, and states carry out mandatory regulation in this area. Galiakberova Albina Rinatovna "Theoretical Comparative-Typological Study of Electro Energy Terms in English and Uzbek Languages" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53892.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/53892/theoretical-comparativetypological-study-of-electro-energy-terms-in-english-and-uzbek-languages/galiakberova-albina-rinatovna
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| Economic Reforms in the Agrarian Sector and their Results | | Author : Batyrova Rakhimakhon Abdujabborovna | Sirozhiddinov Ikromiddin Polariddinovich | | Abstract | Full Text | Abstract :The article analyzes the main directions of deepening market reforms in the agricultural sector of the economy and their impact on the development of agriculture in Namangan region in the conditions of the coronavirus pandemic. Batyrova Rakhimakhon Abdujabborovna | Sirozhiddinov Ikromiddin Polariddinovich "Economic Reforms in the Agrarian Sector and their Results" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52780.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/52780/economic-reforms-in-the-agrarian-sector-and-their-results/batyrova-rakhimakhon-abdujabborovna
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| Markers of New Realism in Russian Literature of the First Twenty Years of the XXI Century | | Author : Amina Rustamovna Fattakhova | Olga Yurievna Starodubova | | Abstract | Full Text | Abstract :This article provides general observations related to the process of identifying the main markers of new realism in Russian literature, which become distinctive features in the modern literary process. Amina Rustamovna Fattakhova | Olga Yurievna Starodubova "Markers of New Realism in Russian Literature of the First Twenty Years of the XXI Century" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52781.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/52781/markers-of-new-realism-in-russian-literature-of-the-first-twenty-years-of-the-xxi-century/amina-rustamovna-fattakhova
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| Results of Experimental Work on Teaching Bukhara Folk Songs in Music Education and their Effectiveness | | Author : Nurillaev Farrukh Gaybullaevich | | Abstract | Full Text | Abstract :In this scientific article, it is analyzed that experimental and observational work was carried out on the aesthetic education of students through Uzbek folklore songs and the formation of their artistic worldviews. When students are involved in the activities of aesthetic education classes, first of all, it is recognized that their interest in art, singing, dancing, music, and performing talents have been comprehensively checked. It is also explained that scientific conclusions and recommendations have been developed based on the results of the experimental tests. Nurillaev Farrukh Gaybullaevich "Results of Experimental Work on Teaching Bukhara Folk Songs in Music Education and their Effectiveness" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52782.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/music/52782/results-of-experimental-work-on-teaching-bukhara-folk-songs-in-music-education-and-their-effectiveness/nurillaev-farrukh-gaybullaevich
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| Expression of Social Relations in the Views of Husayn Vaiz Kashifi | | Author : Ashurova Marhabo Sayfulloevna | | Abstract | Full Text | Abstract :The article analyzes the historical development of life activities of people in society, social relations, social system and political stability. In this regard, Kashifis thoughts about society explain that “people are urban according to their nature, that is, they have no choice but to find each other and gather in one city or one place”. Because they have to live together in order to meet their social needs. It is based on the principle of historicity in studying social phenomena and processes. Because any social phenomenon is not accidental, but develops over a long period of time and exists in a unified form. Ashurova Marhabo Sayfulloevna "Expression of Social Relations in the Views of Husayn Vaiz Kashifi" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52783.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/52783/expression-of-social-relations-in-the-views-of-husayn-vaiz-kashifi/ashurova-marhabo-sayfulloevna
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| Concept of Justice and its Role in the Stability of Society in the Social Views of Husayn Vaiz Kashifi | | Author : Rakhmatov Nuriddin Negkadamovich | | Abstract | Full Text | Abstract :In this article ha been studied the social views of Hossein Kashifi, a wise poet and orator, who lived in Herat during the time of the great thinker Alisher Navoi, mastered the art of oratory, observed social life and expressed his strong opinions to the people, was popular in the court of the Timurid king Husayn Boykara and among the people. It was emphasized that the criterion of justice in the society is that the king should be fair, he always intends to be fair, and if he uses justice in his words and deeds, he will have a strong influence in ensuring the welfare of the people. In sociology, the category of justice is considered and analyzed based on the practical solution to the problems of social cohesion and social stability, conclusions and recommendations are given. Rakhmatov Nuriddin Negkadamovich "Concept of Justice and its Role in the Stability of Society in the Social Views of Husayn Vaiz Kashifi" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd52784.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/52784/concept-of-justice-and-its-role-in-the-stability-of-society-in-the-social-views-of-husayn-vaiz-kashifi/rakhmatov-nuriddin-negkadamovich
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| Teaching Power Engineering Terminology at the Technical Universities | | Author : Bakirova Hilola Botiraliyevna | | Abstract | Full Text | Abstract :The article discusses teaching foreign language terminology in a non linguistic university within the framework of a modern, competence based approach to teaching foreign languages. It analyzes the mastery of the lexical skills necessary for professional communication in a foreign language. In addition, the terminological competence of a specialist was investigated as the basis for the formation of professional foreign language communicative competence of future specialists and is one of the main tasks of teaching a foreign language in a non linguistic university. Bakirova Hilola Botiraliyevna "Teaching Power Engineering Terminology at the Technical Universities" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53891.pdf Paper URL: https://www.ijtsrd.com/engineering/other/53891/teaching-power-engineering-terminology-at-the-technical-universities/bakirova-hilola-botiraliyevna
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| Semantic and Functional Features of Ecoterms in English and Uzbek Languages | | Author : Nigmatullina Almira Shamsunovna | | Abstract | Full Text | Abstract :In this article is determined by the insufficient knowledge of the linguistic description of the metalinguistic, functional, structural and word forming features of the terms of the ecological sphere, the need to systematize the conceptual, semantic, and structural metalinguistic features and properties of the term units of the ecological sphere. The modern science of language, terminology is characterized by deepening and expanding the object of analysis, involving the aspects of term element , term stage of cognition , term model and a number of others. Their systematization makes it possible to overcome the incompleteness and inconsistency in the description of ecological terminology, which hinders the development of the relevant sections of the theory of the term. The chosen approach actualizes the word formation model of eco terms as a new cognitive basis for their study. Nigmatullina Almira Shamsunovna "Semantic and Functional Features of Ecoterms in English and Uzbek Languages" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53893.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/53893/semantic-and-functional-features-of-ecoterms-in-english-and-uzbek-languages/nigmatullina-almira-shamsunovna
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| Merits and Demerits of Interview Method for Improving Speaking Skill | | Author : Gulruh Boykuvatova | Uljayeva Shakhzoda Turdaliyevna | | Abstract | Full Text | Abstract :This article discusses the advantages and disadvantages of the interview method. Despite some disadvantages of this method used in the development of speaking skills, its advantages help to reduce the impact of these disadvantages on the development of speaking skills. Gulruh Boykuvatova | Uljayeva Shakhzoda Turdaliyevna "Merits and Demerits of Interview Method for Improving Speaking Skill" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53894.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/53894/merits-and-demerits-of-interview-method-for-improving-speaking-skill/gulruh-boykuvatova
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| Specific Aspects of Citizen Position and Professional Competence in Students | | Author : Rustam Ganievich Jumaev | | Abstract | Full Text | Abstract :Theoretical and methodological training in the article is a set of special knowledge, skills and abilities that will influence the performance of a task in a certain field of activity, which in some literature is interpreted as a process of learning a specific job, skills necessary to perform a group of tasks. When improving the professional activity of a teacher, it is important that he increases his theoretical and methodological training. Theoretical and methodological training, of course, does not happen by itself. On the basis of theoretical and methodological training, such processes as learning to read, collective and individual research, experience acquisition, additional mastery, self education are included. Rustam Ganievich Jumaev "Specific Aspects of Citizen Position and Professional Competence in Students" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53896.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/53896/specific-aspects-of-citizen-position-and-professional-competence-in-students/rustam-ganievich-jumaev
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| The Image of Abu Rayhan Beruni in the Work “Clouds over Jeyhun” | | Author : Rakhimjonova Rano Muhammadulla kizi | | Abstract | Full Text | Abstract :One of the known and famous figures that shook the world for five centuries is Abu Rayhon Beruni. It is said about how Mirkarim Osim shaped, described a historical person, about the instructive seasons of the scientists life path. The events experienced by ancient Jayhun will be covered in detail. Great personalities who have been finding themselves for centuries, scientists believe that the products of creativity are still being studied as a guide for generations. Rakhimjonova Rano Muhammadulla kizi "The Image of Abu Rayhan Beruni in the Work “Clouds over Jeyhun”" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53918.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53918/the-image-of-abu-rayhan-beruni-in-the-work-“clouds-over-jeyhun”/rakhimjonova-rano-muhammadulla-kizi
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| Chemical Composition Biological Value and Healing Properties of Rosehips | | Author : Gulchexra Sal?vatovna Meliboyeva | | Abstract | Full Text | Abstract :Rosehip is not only a beautiful, but also a useful plant, the healing power of which is not only in its fruit, but also in its pulp, skin and seeds. Rosehip has a hematopoietic effect, increases the bodys resistance to harmful environmental influences, accelerates the healing of wounds and bone fusion, normalizes the functioning of the gallbladder and liver, perfectly fights against spring beriberi and exhaustion. The article provides information about the chemical composition, biological value and medicinal properties of wild rose, as well as recommendations for its use. Gulchexra Sal?vatovna Meliboyeva "Chemical Composition Biological Value and Healing Properties of Rosehips" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53911.pdf Paper URL: https://www.ijtsrd.com/chemistry/other/53911/chemical-composition-biological-value-and-healing-properties-of-rosehips/gulchexra-salvatovna-meliboyeva
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| Kokan Uprising in 1841 1842 | | Author : Iskanderov Sultanbek | | Abstract | Full Text | Abstract :This article describes the resignation of Kokan Khan Muhammad Alikhan, the uprising in Kokan in 1841 1842 and its causes and consequences, as well as the social and political situation of Kokan residents at that time. Iskanderov Sultanbek "Kokan Uprising in 1841-1842" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53919.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53919/kokan-uprising-in-18411842/iskanderov-sultanbek
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| Head and Chest Resonators | | Author : Baltaniyazov Sarsenbay Aytmuratovich | | Abstract | Full Text | Abstract :The article provides a brief overview of the singers vocal apparatus, the musical abilities of the head and chest resonator, the sense of rhythm, intonation and vocal range. Differences between the upper chest resonator and the upper resonator and their role in vocal performance. Baltaniyazov Sarsenbay Aytmuratovich "Head and Chest Resonators" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53912.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53912/head-and-chest-resonators/baltaniyazov-sarsenbay-aytmuratovich
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| Some Types of Written Work in Foreign Language Lessons | | Author : Djamaldinova Shakhlo Obloberdiyevna | Rafieva Bunafsha Rustamovna | | Abstract | Full Text | Abstract :The formation of the skills necessary for successful practical activity the ability to present the content of what is read or heard, outline a lecture, an article, write a report, clearly formulate ones thoughts, draw up a plan and abstracts of a report, can only be done on the basis of the development of thinking and speech of students in the learning process Therefore, it is necessary to systematically develop the ability to coherently express your thoughts. Creative and free dictations are of great help in this. Djamaldinova Shakhlo Obloberdiyevna | Rafieva Bunafsha Rustamovna "Some Types of Written Work in Foreign Language Lessons" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53923.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/53923/some-types-of-written-work-in-foreign-language-lessons/djamaldinova-shakhlo-obloberdiyevna
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| The Causes and Impact of Incorrect Identification of Pavement Distresses | | Author : Ali H. Mohaisen | Hatim A. Rashid | | Abstract | Full Text | Abstract :The conditions of road pavement affect economy, safety and comfort, traffic and travel times, emission levels, and vehicles operating costs. The research paper focuses on one of the most important factors that lead to road deterioration and the failure of maintenance operations, which is the incorrect identification of the causes of distresses and their negative impact on the economy, safety, and the environment. To identify these causes and effects, the researcher used an integrated methodology that included reviewing and analyzing previous studies, preparing a questionnaire filled out by experts, and analyzing historical data for a case study AL Kut Maysan Road . The results show that the reasons for the inaccurate identification of the causes of distresses are seven factors, the most important of which is the adoption of old and fixed work methods for all cases of deterioration, as well as the lack of training and tools used in some maintenance departments. The results of the case study analysis also show the negative effects, including economic losses, an increase in the number of accidents and emissions, as well as the road being out of service due to the failure of the maintenance process. Ali H. Mohaisen | Hatim A. Rashid "The Causes and Impact of Incorrect Identification of Pavement Distresses" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53916.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53916/the-causes-and-impact-of-incorrect-identification-of-pavement-distresses/ali-h-mohaisen
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| Scientific Approaches to Improving the Educational System | | Author : Rafieva Bunafsha Rustamovna | Djamaldinova Shakhlo Obloberdiyevna | | Abstract | Full Text | Abstract :Education is inextricably linked to economic productivity and personal income growth. But what is it about education that creates this connection In this article, you can see that the impact of education primarily depends on its quality, but there are many indicators of the quality of education that do not work equally. In this article, we will look at the distribution of education quality around the world, that even in countries with a full enrollment and high spending on education, the impact of investment varies significantly, and also what we know about the quality of education from the data of the last decade. Rafieva Bunafsha Rustamovna | Djamaldinova Shakhlo Obloberdiyevna "Scientific Approaches to Improving the Educational System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53924.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/53924/scientific-approaches-to-improving-the-educational-system/rafieva-bunafsha-rustamovna
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| Modern Youth and Family Relations in the Age of Globalization | | Author : Rakhimjonova Gulzira | Tursunov Sokol | | Abstract | Full Text | Abstract :This article presents modern actual young people and their attitude to family life, and at the same time highlights the main functions, types of families, the importance of family values. In addition, the importance of family upbringing and the shortcomings that are allowed were touched upon. Rakhimjonova Gulzira | Tursunov Sokol "Modern Youth and Family Relations in the Age of Globalization" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53947.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53947/modern-youth-and-family-relations-in-the-age-of-globalization/rakhimjonova-gulzira
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| About Some Features of the Use of Phraseological Units in Mass Media | | Author : Mukhitdinzoda Regina Alimjanovna | | Abstract | Full Text | Abstract :The article deals with phraseological units in general and some features of the use of phraseological units in mass media. Mukhitdinzoda Regina Alimjanovna "About Some Features of the Use of Phraseological Units in Mass Media" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53925.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53925/about-some-features-of-the-use-of-phraseological-units-in-mass-media/mukhitdinzoda-regina-alimjanovna
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| Use of Zonynyms in Works | | Author : Yusupov Sanat Shukhratovich | Ixtiyorbek Norov Kamoliddinovich | | Abstract | Full Text | Abstract :Epos is one of the most widespread and large genres of Uzbek folklore. Folk epics are a great gift of antiquity, the general worldview of the time when they were created, and at the same time, in the conditions of living traditional creativity and performance, they express the objective state of the folk psyche from time to time. is a literary monument. Yusupov Sanat Shukhratovich | Ixtiyorbek Norov Kamoliddinovich "Use of Zonynyms in Works" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53926.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53926/use-of-zonynyms-in-works/yusupov-sanat-shukhratovich
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| Using Some Effective Teaching Methods in Higher Education System | | Author : Sattorova Marifat Ortikovna | | Abstract | Full Text | Abstract :This article discusses some features of teaching at higher educational institutions. Some methods of teaching and problems that teachers and students may face during their collaborative work also studied below. Sattorova Marifat Ortikovna "Using Some Effective Teaching Methods in Higher Education System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53927.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/53927/using-some-effective-teaching-methods-in-higher-education-system/sattorova-marifat-ortikovna
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| Integration and Interdisciplinary Communication in Modern School Russian English | | Author : Khamraeva Guli | | Abstract | Full Text | Abstract :The article is devoted to the implementation of interdisciplinary connections, promotes deeper language learning, introduces it into a broad cultural context, productively develops personal qualities, and also corresponds to modern methodological experience. Khamraeva Guli "Integration and Interdisciplinary Communication in Modern School: Russian + English" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53933.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/other/53933/integration-and-interdisciplinary-communication-in-modern-school-russian--english/khamraeva-guli
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| Concepts of Respect Category and Respect Speech in Uzbek Language | | Author : Shirin Baxtiyarovna Sadikova | | Abstract | Full Text | Abstract :In this article, there are opinions about the expression of Respect as a social positive phenomenon through language, and it is considered appropriate to call it a linguistic category. Therefore, respect as a category is related to modal relations, its general aspect, and the expression of respect and related meanings such as respect, respect, honoring, glorification, attention is a special aspect. Shirin Baxtiyarovna Sadikova "Concepts of Respect Category and Respect Speech in Uzbek Language" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53928.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53928/concepts-of-respect-category-and-respect-speech-in-uzbek-language/shirin-baxtiyarovna-sadikova
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| Increasing the Social Activity of Students in Foreign Language Classes | | Author : Ziyoda Abdumalikovna Pulatova | | Abstract | Full Text | Abstract :This article highlights the methods of increasing the social activity of students in the process of teaching English in the preparation of future economists. We will briefly touch on the most traditional methods and methods used by our teachers and pedagogues to increase students activity in teaching foreign languages and are still used in classes. Ziyoda Abdumalikovna Pulatova "Increasing the Social Activity of Students in Foreign Language Classes" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53934.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/53934/increasing-the-social-activity-of-students-in-foreign-language-classes/ziyoda-abdumalikovna-pulatova
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| Multi Layer Neural Network Training in Python Programming Language | | Author : Alimova Rayhon Abdugafforovna | | Abstract | Full Text | Abstract :This article describes the training of artificial neural network. A program for training a multi – layer neural network is created and the result is shown. Alimova Rayhon Abdugafforovna "Multi - Layer Neural Network Training in Python Programming Language" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53929.pdf Paper URL: https://www.ijtsrd.com/computer-science/other/53929/multi--layer-neural-network-training-in-python-programming-language/alimova-rayhon-abdugafforovna
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| The Influence of Lexicographic Work in the Assimilation of Professional Terms | | Author : Mamedova Kamilla | Razikova Lola Tuychiyevna | | Abstract | Full Text | Abstract :In order to improve speech culture, exercises aimed at expanding the active vocabulary of children, as well as at developing their ability to choose from their vocabulary to express thoughts those words that most correspond to the content of the utterance and make it correct, accurate and expressive, should occupy a prominent place. Mamedova Kamilla | Razikova Lola Tuychiyevna "The Influence of Lexicographic Work in the Assimilation of Professional Terms" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53936.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/53936/the-influence-of-lexicographic-work-in-the-assimilation-of-professional-terms/mamedova-kamilla
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| Sources of Formation of Sharia Terms in the Old Uzbek Language | | Author : Taboshar Qodirovich Yuldoshev | | Abstract | Full Text | Abstract :In this article, there are thoughts about the long history of the formation and development of religious terms in the Uzbek language. The ancient Turkic peoples practiced various religions, the oldest religion was the belief of the blue god sky god and this religion was the main religious belief of the Turks in the earliest times, during the First and Second Turkic khanates. Taboshar Qodirovich Yuldoshev "Sources of Formation of Sharia Terms in the Old Uzbek Language" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53930.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/other/53930/sources-of-formation-of-sharia-terms-in-the-old-uzbek-language/taboshar-qodirovich-yuldoshev
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| Development of Professional Communication Competence in Future Economists | | Author : Umidakhon Agzamovna Tursunova | | Abstract | Full Text | Abstract :The article analyzes the modern pedagogical conditions, factors, stages, components, and methods of developing the mechanism of professionally oriented communicative competence development in future economists in the process of learning English . Also, in the article, the system of pedagogical analysis of the skills of communication competence in future economists, the forms of manifestation in foreign languages are studied. Umidakhon Agzamovna Tursunova "Development of Professional Communication Competence in Future Economists" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53931.pdf Paper URL: https://www.ijtsrd.com/economics/other/53931/development-of-professional-communication-competence-in-future-economists/umidakhon-agzamovna-tursunova
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| Vocal Singing Teaching Methodology | | Author : Ibrohimov Azizbek Ismonjon ugli | | Abstract | Full Text | Abstract :This article analyzes another genre of opera, vocal, based on written sources about what to pay attention to when singing in vocal performance in this genre, how the singer behaves in general. Ibrohimov Azizbek Ismonjon ugli "Vocal Singing Teaching Methodology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53932.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/53932/vocal-singing-teaching-methodology/ibrohimov-azizbek-ismonjon-ugli
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| The Process of Ethnic Education of Students of Higher Educational Institutions with the Help of Multimedia Technologies | | Author : Razikova Lola Tuychiyevna | Mamedova Kamilla | | Abstract | Full Text | Abstract :The article acknowledges that success in the development of national education of students can be achieved only through the effective use of media technology. As noted in the article, a creative environment and advanced pedagogical experience play a special role in the development of creative abilities in students. In our study, a statistical analysis of the results obtained at the initial and final stages is presented. The experiment presented tables consisting of test results and statistical calculations. Razikova Lola Tuychiyevna | Mamedova Kamilla "The Process of Ethnic Education of Students of Higher Educational Institutions with the Help of Multimedia Technologies" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53938.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/53938/the-process-of-ethnic-education-of-students-of-higher-educational-institutions-with-the-help-of-multimedia-technologies/razikova-lola-tuychiyevna
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| Obscene Language in English and Russian Languages | | Author : Muxitdinzoda Regina Alimjanovna | | Abstract | Full Text | Abstract :The article refers to people`s use of obscene vocabulary in communication in there circle, as a result of which in the language e.g. modern English and Russian the so called euphemism develops and functions. Muxitdinzoda Regina Alimjanovna "Obscene Language in English and Russian Languages" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53937.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/53937/obscene-language-in-english-and-russian-languages/muxitdinzoda-regina-alimjanovna
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| Topical Issues of Teaching Russian as a Foreign Language through Internet Resources | | Author : Khamraeva Guli | | Abstract | Full Text | Abstract :The article deals with topical issues of teaching Russian as a foreign language application of information technologies, Internet resources and training in non verbal means of communication in teaching. Khamraeva Guli "Topical Issues of Teaching Russian as a Foreign Language through Internet Resources" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53941.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53941/topical-issues-of-teaching-russian-as-a-foreign-language-through-internet-resources/khamraeva-guli
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| Modern Youth and Family Relations in the Age of Globalization | | Author : Rakhimjonova Gulzira | Tursunov Sokol | | Abstract | Full Text | Abstract :This article presents modern actual young people and their attitude to family life, and at the same time highlights the main functions, types of families, the importance of family values. In addition, the importance of family upbringing and the shortcomings that are allowed were touched upon. Rakhimjonova Gulzira | Tursunov Sokol "Modern Youth and Family Relations in the Age of Globalization" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53947.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53947/modern-youth-and-family-relations-in-the-age-of-globalization/rakhimjonova-gulzira
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| The Organization and Development of the Baburi State | | Author : Sevar Ilyasovna Shamuradova | | Abstract | Full Text | Abstract :This article is dedicated to the period from the foundation of the Baburi state to its decline, and to briefly show various aspects of the countrys life during this period.It is known that the figure of Babur is embodied in the eyes of the people as a lyrical poet who grew out of the Uzbek people. The lines of his work, polished with elegance and freshness, dedicated to the current and various social issues of his life, have been read with love for centuries, and his melodious and melodious ghazals still bring silence and joy to hearts.It should be noted that not all of Baburs creative fans are aware of the fact that Babur was a famous military leader and statesman, that he founded a powerful state empire in North India, and that the Babur dynasty ruled India for more than three centuries. Sevar Ilyasovna Shamuradova "The Organization and Development of the Baburi State" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53939.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/53939/the-organization-and-development-of-the-baburi-state/sevar-ilyasovna-shamuradova
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| The Use of Gaming Technologies in Teaching the Russian Language | | Author : Khamraeva Guli | | Abstract | Full Text | Abstract :The use of gaming technologies makes it possible to increase the motivation of students to study and make their position more active. This article is devoted to the use of communicative games in pedagogical practice aimed at fixing language constructions, memorizing lexical units and improving the skills of coherent, dialogical speech. The purpose of this article is to study and systematize game techniques aimed at developing communicative competence. The relevance of the research is determined by the growing interest in non traditional forms of classes, the communicative orientation of modern educational technologies. Khamraeva Guli "The Use of Gaming Technologies in Teaching the Russian Language" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53940.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53940/the-use-of-gaming-technologies-in-teaching-the-russian-language/khamraeva-guli
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| In the Process of Primary Class Reading Lessons Methods of using Pedagogical Technologies | | Author : Kalandarova Gulchekhra | | Abstract | Full Text | Abstract :Today, the methodical features of organizing interesting lessons and building skills of applying to everyday life based on moving exhibitions and problem situations based on competence approaches in improving the efficiency of the lesson have been revealed. Kalandarova Gulchekhra "In the Process of Primary Class Reading Lessons Methods of using Pedagogical Technologies" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53949.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53949/in-the-process-of-primary-class-reading-lessons-methods-of-using-pedagogical-technologies/kalandarova-gulchekhra
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| In the Process of Primary Class Reading Lessons Methods of using Pedagogical Technologies | | Author : Kalandarova Gulchekhra | | Abstract | Full Text | Abstract :Today, the methodical features of organizing interesting lessons and building skills of applying to everyday life based on moving exhibitions and problem situations based on competence approaches in improving the efficiency of the lesson have been revealed. Kalandarova Gulchekhra "In the Process of Primary Class Reading Lessons Methods of using Pedagogical Technologies" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53949.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53949/in-the-process-of-primary-class-reading-lessons-methods-of-using-pedagogical-technologies/kalandarova-gulchekhra
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| Indicator of Spatial Time Dynamics of Population Health of the Republic of Karakalpakstan | | Author : Tadjibaeva M. K. | | Abstract | Full Text | Abstract :Ecologically caused changes in the health status of the population can manifest themselves both in the form of the appearance of new, previously unknown ecological diseases, which occurs very rarely and is a consequence of the emergence of extreme situations in the environment, and in the form of certain shifts in the background level of mortality, reproductive health and other indicators of health, and the resulting adverse effects are defined as environmentally related or environmentally dependent diseases. Tadjibaeva M. K. "Indicator of Spatial Time Dynamics of Population Health of the Republic of Karakalpakstan" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53950.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53950/indicator-of-spatial-time-dynamics-of-population-health-of-the-republic-of-karakalpakstan/tadjibaeva-m-k
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| Gradual Connections in the System of Sentence Fragments in the Uzbek Language | | Author : Umidj?n Yigitaliyev | Shohruhbek Umidjonov | | Abstract | Full Text | Abstract :This article examines the gradual connections of sentence fragments on the example of the sources of the Uzbek language under the influence of the linguistic atom ”person . Umidj?n Yigitaliyev | Shohruhbek Umidjonov "Gradual Connections in the System of Sentence Fragments in the Uzbek Language" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53953.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53953/gradual-connections-in-the-system-of-sentence-fragments-in-the-uzbek-language/umidjn-yigitaliyev
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| Linguistic Examination of Artistic Text | | Author : Masharipova Umidakhon | | Abstract | Full Text | Abstract :The systematization and application of special methodological principles and categories in the linguistic examination of a literary text is a criterion that determines the effectiveness of the study. Masharipova Umidakhon "Linguistic Examination of Artistic Text" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53951.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53951/linguistic-examination-of-artistic-text/masharipova-umidakhon
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| The History and Significance of the Construction of Hydrotechnical Constructions in Uzbekistan in the middle Ages Example of Abdullakhan Bandi | | Author : Uralov Akbarali Sindarovich | Bakhodirov Abrorkhan Faizulla | | Abstract | Full Text | Abstract :In this article, the history of the construction of hydrotechnical structures in the Middle Ages is covered in the 80s of the 16th century by the Khan of Bukhara, Abdulla Khan II, as an example of the dam built in the Nurota oasis. The reservoir is located in the Beklarsoy Gorge, and little information about it has been preserved in various books. The history and significance of the construction of Abdulla Khanbandi was described in detail for the first time in the article. Uralov Akbarali Sindarovich | Bakhodirov Abrorkhan Faizulla "The History and Significance of the Construction of Hydrotechnical Constructions in Uzbekistan in the middle Ages (Example of Abdullakhan Bandi)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53952.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53952/the-history-and-significance-of-the-construction-of-hydrotechnical-constructions-in-uzbekistan-in-the-middle-ages-example-of-abdullakhan-bandi/uralov-akbarali-sindarovich
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| Immunological and Pathophysiological Mechanisms of Systemic Inflammation | | Author : Lapasova Zebiniso Khidirovna | | Abstract | Full Text | Abstract :General characteristics of systemic inflammation as a typical pathological process. Inflammation is a universal and common type of pathological the process underlying most of the known human diseases. The essence of inflammation is the bodys reaction to local damage, which is aimed at isolating and eliminating the damaging factor, and then tissue regeneration. The reaction develops mainly locally – in the focus of inflammation. The main functional role in the focus of inflammation is played by inflammatory infiltrate cells – various types of leukocytes and mobile macrophages. In turn, the reaction of microvessels, the hemostasis system, mastocytes and many other types of stromal cells ensures the migration of effector cells to the focus of inflammation, as well as the localization of damaging agents. The type of inflammatory process – exudative destructive inflammation purulent or various variants of productive inflammation, as well as the final effectiveness of the inflammatory process as a whole depends on the composition of the inflammatory infiltrate cells and the nature of their relationship. The implementation of effector mechanisms in the focus of inflammation cannot be carried out without resource support from the whole organism. This task is mainly solved by a systemic inflammatory reaction, which includes a number of interrelated processes stress response of the neuroendocrine system, primarily the hypothalamic pituitary adrenal complex generalized manifestations of the immune response, acute phase response of the liver, increased leukocytopoiesis in the bone marrow. The main initiating mechanism for the development of a systemic inflammatory reaction is the entry of individual cytokines and some other inflammatory mediators into the systemic bloodstream from the focus of inflammation. The need for it does not arise with any, but only with a pronounced inflammatory process, with a high level of expenditure of metabolic and cellular resources. Manifestations of a systemic inflammatory reaction are diverse fever, neuromuscular asthenia, an increase in blood glucose and other energy substrates, leukocytosis, an increase in acute phase proteins in the blood and other adaptive changes in homeostasis. Thus, the systemic inflammatory reaction has both common and different manifestations from other stress variants at the level of the whole organism. In general, the inflammatory process includes two complementary genetically determined programs in relation to the focus of inflammation internal – at the local level and external – systemic inflammatory response. Like any other protective mechanism for the body, individual manifestations of inflammation can in certain cases have negative consequences, which, however, does not negate the expediency of inflammation as a protective process for the body as a whole. Knowledge of the general patterns of the inflammatory process allows us to understand the pathogenesis of a wide range of inflammatory diseases. Meanwhile, there are pathological processes directly related to the involvement of inflammatory mechanisms, the pathogenesis of which is difficult to describe, and in some cases impossible from the standpoint of traditional classical ideas about inflammation. This applies, first of all, to the most life–threatening forms of pathology shock states, acute manifestations of multiple organ failure, the development of disseminated intravascular coagulation syndrome and some other critical human conditions. Very often, the role of the focus of inflammation in these conditions is insignificant, and in some cases it the focus is completely absent. Practitioners were the first to note the connection between the development of critical conditions in humans with inflammatory mechanisms in sepsis, and then non infectious processes. At the same time, two out of four possible criteria are sufficient to verify a systemic inflammatory reaction. The use of criteria for systemic inflammatory response in clinical practice allowed us to identify a risk group for severe complications. Inflammatory mechanisms, which are characterized by signs of a systemic inflammatory reaction, are generally adaptive in nature and cannot directly determine the pathogenesis, for example, of a shock state. All this predetermined the need to describe the model of systemic inflammation as an independent typical pathological process, related, but not identical to classical inflammation, which requires the separation of the designated two alternative typical pathological processes. To this end, we will pay attention to the origins of the inflammatory reaction. Any cell is capable of responding to the effects of a damaging factor, this response can be referred to as cellular stress. Meanwhile, the damaging factors themselves are heterogeneous. Firstly, these are various micro defects of cellular structures and changes in vital environmental parameters, such as hypoxia, disturbances of acid base balance and temperature regime parasitization by viruses and other intracellular organisms. All these factors are capable of damaging the cell directly and are damaging agents by definition. Secondly, it is the effect on the cell, or rather on cellular receptors, of molecules carrying information about the possibility of damage. These molecules warn the cell about the presence of microorganisms or other factors that pose a potential danger. Lapasova Zebiniso Khidirovna "Immunological and Pathophysiological Mechanisms of Systemic Inflammation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53959.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53959/immunological-and-pathophysiological-mechanisms-of-systemic-inflammation/lapasova-zebiniso-khidirovna
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| Karakalpakfilm Documentary Film | | Author : Jumagalieva Aynura Esengeldievna | | Abstract | Full Text | Abstract :Karakalpakfilm seeks to bring todays issues to the forefront of its problems. While many documentary tapes are stored in metal boxes, you turn on the projector and look at the screen, the events of many years ago, the gifts, the stories of our compatriots. Immortal images come to life again. Jumagalieva Aynura Esengeldievna "Karakalpakfilm: Documentary Film" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53956.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/journalism/53956/karakalpakfilm-documentary-film/jumagalieva-aynura-esengeldievna
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| Pathophysiology of Arteriovenous Fistula | | Author : Pardayeva Zilola Suvonkulovna | | Abstract | Full Text | Abstract :Literary data about the basic hemodynamic effects resulting from arteriovenous fistula construction in different times of functioning. Pardayeva Zilola Suvonkulovna "Pathophysiology of Arteriovenous Fistula" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53961.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53961/pathophysiology-of-arteriovenous-fistula/pardayeva-zilola-suvonkulovna
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| Publicistic Style, Newspaper Language | | Author : Allamuratova Dinara Xayraddin Kizi | | Abstract | Full Text | Abstract :Since the early days of the independence of the Republic of Uzbekistan, the policy has completely changed, and great importance is being paid to planning and development. As a result of this, the number of the press is increasing day by day. The tools of the victory message are powerful and fast moving. The press role in the society is changed, its plans are determined, and the tools of victory are provided with the necessary rules it has become one of the organs of our government at the level of national politics. Allamuratova Dinara Xayraddin Kizi "Publicistic Style, Newspaper Language" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53962.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/journalism/53962/publicistic-style-newspaper-language/allamuratova-dinara-xayraddin-kizi
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| Raising Children in a Healthy Environment is the Duty of All of US | | Author : Sharipov Asror Safar ogli | Sadikova Yorkinoy Salijonovna | | Abstract | Full Text | Abstract : Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53964.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53964/raising-children-in-a-healthy-environment-is-the-duty-of-all-of-us/sharipov-asror-safar-ogli
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| Pathophysiology of Placenta and Fetus in Diabetes Mellitus | | Author : Lapasova Zebiniso Khidirovna | | Abstract | Full Text | Abstract :Placental transport of substances in conditions of diabetes mellitus The placenta ensures the growth and development of the fetus through the exchange of a wide range of substances with the mothers body. Uteroplacental and fetoplacental blood flow perform an important function for the delivery and removal of metabolic products. The placental barrier is represented by the membrane of the microvilli of the syncytiotrophoblast, which is in direct contact with maternal blood in the interstitial space 1 . This structure of the placenta increases the exchange surface by 7 times. Lapasova Zebiniso Khidirovna "Pathophysiology of Placenta and Fetus in Diabetes Mellitus" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53957.pdf Paper URL: https://www.ijtsrd.com/biological-science/pathology/53957/pathophysiology-of-placenta-and-fetus-in-diabetes-mellitus/lapasova-zebiniso-khidirovna
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| Breast Cancer, Detection Methods, Symptoms, Causes and Treatment | | Author : Shernazarov Farrukh | | Abstract | Full Text | Abstract :Breast cancer oncology is a disease caused by the transformation of normal breast cells into cancer cells. Breast cancer is the second most common type of cancer after lung cancer and is the most common cancer among women. About 10 of women aged 13 90 are affected by this disease. This disease is less common in men 1 . Shernazarov Farrukh "Breast Cancer, Detection Methods, Symptoms, Causes and Treatment" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53965.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53965/breast-cancer-detection-methods-symptoms-causes-and-treatment/shernazarov-farrukh
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| Pathophysiological Mechanisms of Pain Syndromes | | Author : Lapasova Muxtaram Shermuxamedovna | | Abstract | Full Text | Abstract :Pain is the most common symptom that causes suffering to millions of people and for a doctor, pain treatment is one of the first tasks. Thanks to numerous electrophysiological, morphological, neurochemical and clinical studies, significant material has been accumulated to date on the study of pain mechanisms. Experimental data on the role of free nerve endings in the perception of damaging stimuli were obtained, a clear connection was revealed between the A delta and C afferent fibers of peripheral nerves with pain sensations in humans, the main ascending pathways and nerve structures of the spinal cord, brain stem, visual tubercle and cerebral cortex, which transmit and process pain information, were traced. Neurotransmitters mediating pain reactions have been identified. The structures of the spinal cord and brain, chemicals and their receptors providing pain suppression have been established. Subtle mechanisms of interneuronal interaction in changing pain sensitivity in inflammation, trauma, ischemia, and damage to nerve structures are shown. And finally, the important role of the psychological state of a person in the perception of pain is clearly demonstrated. Understanding the essence of pain, the mechanisms that regulate pain sensitivity, and a clear understanding of the etiopathogenesis of pain syndromes are the key to their successful treatment. Lapasova Muxtaram Shermuxamedovna "Pathophysiological Mechanisms of Pain Syndromes" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53958.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53958/pathophysiological-mechanisms-of-pain-syndromes/lapasova-muxtaram-shermuxamedovna
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| Pathogenetic Basis of Placental Uterine Blood Flow Disorders | | Author : Lapasova Zebiniso Khidirovna | | Abstract | Full Text | Abstract :The physiological development of the placenta depends on sufficient oxygenation and metabolism through the placenta, which is provided by hemochoric placentation. This requires the appropriate transformation of the maternal spiral arteries of the myometrium by trophoblast during its invasion. As a result, optimal contact between the uterus and placenta and a well developed vascular network are formed, which directly depends on the successful invasion of the trophoblast, the processes of vasculogenesis and angiogenesis. The blastocyst can be implanted into the endometrium within a relatively short period of time, called the implantation window . Lapasova Zebiniso Khidirovna "Pathogenetic Basis of Placental-Uterine Blood Flow Disorders" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53960.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53960/pathogenetic-basis-of-placentaluterine-blood-flow-disorders/lapasova-zebiniso-khidirovna
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| Pulmonary Oedema Physiology of Lung Circulation, Pathophysiology of Pulmonary Oedema | | Author : Kurbanova Gulbaxor Aslamovna | | Abstract | Full Text | Abstract :In modern medical practice, there are several clinical forms of pulmonary edema cardiogenic and non cardiogenic pulmonary edema, acute lung injury, acute respiratory distress syndrome, neurogenic pulmonary edema. Blood transport is facilitated by low pressure in the circulatory system and relatively low vascular resistance to blood flow. In an extremely short time, which does not exceed 1 s, the diffusion of oxygen and carbon dioxide occurs, i.e. one of the main functions of the lungs is realized — gas exchange. Another important function of pulmonary circulation is the release and metabolism of a large group of mediators involved in the most diverse processes of the human body. Kurbanova Gulbaxor Aslamovna "Pulmonary Oedema: Physiology of Lung Circulation, Pathophysiology of Pulmonary Oedema" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53963.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53963/pulmonary-oedema-physiology-of-lung-circulation-pathophysiology-of-pulmonary-oedema/kurbanova-gulbaxor-aslamovna
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| The Role of the Uzbek Language in Society | | Author : Sharabova Nafisa Shodmonovna | | Abstract | Full Text | Abstract :To date, the main goal of education is not only the accumulation of certain knowledge, skills, abilities by the student, but also the preparation of the student as an independent subject of educational activity. At the heart of modern education is the activity of the student, directed by the teacher. It is this goal of educating a creative, active person who knows how to learn and improve independently, and the main tasks of modern education are subordinated. Sharabova Nafisa Shodmonovna "The Role of the Uzbek Language in Society" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53967.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53967/the-role-of-the-uzbek-language-in-society/sharabova-nafisa-shodmonovna
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| Main Problems of Intercultural Communication as a Factor of Modern Society Development | | Author : Adilova Zilola Xushnudovna | | Abstract | Full Text | Abstract :The article deals with the main problems of intercultural communication. The author pays special attention to the formation of communication practices in modern society, which is trying to overcome intercultural differences. The purpose of this study is to explore the issue of the impact of the globalization process on modern culture. The result of this study is the confirmation of the fact regarding cultural globalization. Adilova Zilola Xushnudovna "Main Problems of Intercultural Communication as a Factor of Modern Society Development" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53984.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53984/main-problems-of-intercultural-communication-as-a-factor-of-modern-society-development/adilova-zilola-xushnudovna
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| The Influence of Social Networks on the Human Psyche | | Author : Sharabova Nafisa Shodmonovna | Shodmonova Sevinch | | Abstract | Full Text | Abstract :To date, the main goal of education is not only the accumulation of certain knowledge, skills, abilities by the student, but also the preparation of the student as an independent subject of educational activity. At the heart of modern education is the activity of the student, directed by the teacher. It is this goal of educating a creative, active person who knows how to learn and improve independently, and the main tasks of modern education are subordinated. Sharabova Nafisa Shodmonovna | Shodmonova Sevinch "The Influence of Social Networks on the Human Psyche" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53968.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53968/the-influence-of-social-networks-on-the-human-psyche/sharabova-nafisa-shodmonovna
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| History of English and Uzbek Idioms | | Author : Mannonova S. | Jabborova S. | | Abstract | Full Text | Abstract :A speaker or writer often uses idioms to convey a message to someone else in a more creative way. Think of them as a type of spice that prevents your conversation or writing from being too bland. There is another type of idiomatic usage used by fluent English speakers, and it’s called collocations, or a combination of words that have a specific meaning. Mannonova S. | Jabborova S. "History of English and Uzbek Idioms" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53994.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/53994/history-of-english-and-uzbek-idioms/mannonova-s
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| Design of the Roof Structure for the 2000 Seat Tribune of the Rowing Channel | | Author : Jamolova Mohigul Xudoyberdi Qizi | Kulmirzayev Jakhongir Ilkhomidinovich | | Abstract | Full Text | Abstract :The main goal of this article is to research and effectively design the roof construction options for the 2000 seat tribune of the rowing canal, which is widely used in the construction industry of our Republic today, to solve the current problems, and to create the optimal forms of metal roof constructions, modern truss and arch structural forms. consists of improvement and calculation. Jamolova Mohigul Xudoyberdi Qizi | Kulmirzayev Jakhongir Ilkhomidinovich "Design of the Roof Structure for the 2000-Seat Tribune of the Rowing Channel" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53969.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/53969/design-of-the-roof-structure-for-the-2000seat-tribune-of-the-rowing-channel/jamolova-mohigul-xudoyberdi-qizi
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| Use of Games in Learning Foreign Language at the University | | Author : Saodatkhan Saidullayevna Khodjaeva | | Abstract | Full Text | Abstract :The article discusses the possibilities of using word games in the process of teaching a foreign language at a university. The main classifications of games are given, with the main attention being paid to games of a lexical nature. The article substantiates the conditions that allow use word games as efficiently as possible in foreign language classes, as well as examples of games at different stages of work with students. Saodatkhan Saidullayevna Khodjaeva "Use of Games in Learning Foreign Language at the University" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53993.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/53993/use-of-games-in-learning-foreign-language-at-the-university/saodatkhan-saidullayevna-khodjaeva
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| Teaching Agrarian Students in Phraseology with the Names of Fruit in English | | Author : Shoynazarova Vazira Khushbakovna | Ergasheva Umida Asad qizi | | Abstract | Full Text | Abstract :This article discusses the teaching agrarian students in phraseology with the names of fruit in English based on the topic of horticulture . Shoynazarova Vazira Khushbakovna | Ergasheva Umida Asad qizi "Teaching Agrarian Students in Phraseology with the Names of Fruit in English" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55034.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/55034/teaching-agrarian-students-in-phraseology-with-the-names-of-fruit-in-english/shoynazarova-vazira-khushbakovna
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| Human Impact on Water Sources as a Result of Environmental Pollution | | Author : Shahboz Vahobovich Esanmurodov | Gulchexra Rashidkhodjaevna Rikhsikhodjaeva | | Abstract | Full Text | Abstract :The article examines the issues of drinking water supply, disintegration of the composition of drinking water. The effect of man made impacts on nature has influenced the quality of surface water assets in numerous districts of the Soil, counting within the Republic of Uzbekistan, making them unacceptable for drinking purposes in a few cases. Shahboz Vahobovich Esanmurodov | Gulchexra Rashidkhodjaevna Rikhsikhodjaeva "Human Impact on Water Sources as a Result of Environmental Pollution" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55064.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/enviormental-science/55064/human-impact-on-water-sources-as-a-result-of-environmental-pollution/shahboz-vahobovich-esanmurodov
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| The Phenomenon of Polysemy in French Phraseologisms and their Meaning Etymology | | Author : Sindarov Feruz Xaldarovich | | Abstract | Full Text | Abstract :This article presents a number of information about the methods of emergence of French phraseological compounds, their history and etymology. At the same time, the ways of the emergence of phraseological combinations are quite problematic, and the existence of its undiscovered aspects requires a lot of research. Sindarov Feruz Xaldarovich "The Phenomenon of Polysemy in French Phraseologisms and their Meaning Etymology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55056.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/55056/the-phenomenon-of-polysemy-in-french-phraseologisms-and-their-meaning-etymology/sindarov-feruz-xaldarovich
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| Educational Technologies and the Role of Teaching Technologies in the Educational Process | | Author : Toshmatova Mavlyuda Botabayevna | | Abstract | Full Text | Abstract :The essence of the educational content, the innovative approaches of our country and the world experience, the introduction of teaching technologies into the field of education are highlighted. Toshmatova Mavlyuda Botabayevna "Educational Technologies and the Role of Teaching Technologies in the Educational Process" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55074.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/55074/educational-technologies-and-the-role-of-teaching-technologies-in-the-educational-process/toshmatova-mavlyuda-botabayevna
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| On the Issue of Efficiency in the Transportation of Oil Products by Main Pipelines | | Author : Kuvondikov Kuvonchbek Rozimurod | Esanmurodov Shakhboz Vakhobjon | Rikhsikhodjayeva Gulchekhra Rashidkhodjayevn | | Abstract | Full Text | Abstract :Pipeline transportation of oil products can rightfully be called the most unusual form of transportation. Today, Uzbekistan is starting to supply oil to the world. It provides an opportunity to deliver oil, diesel fuel, gasoline in any direction and in practically unlimited quantities. Transportation of oil products through pipelines allows for the continuous pumping of various types of oil and gas. Its work does not depend on climate, geographical location, year or time of day that is, it is carried out continuously and systematically. A pipeline route is always shorter than a road or rail route, so transportation along it is faster. In addition, pipeline transportation of petroleum products has the best technical and economic indicators compared to other modes of transportation. Its use helps to reduce the loss of oil products, reduce energy consumption and reduce the need for maintenance personnel. Disadvantages include the lack of flexibility in the logistics scheme of transport after the pipeline is laid, it will not be possible to change or adjust the route of transport. Kuvondikov Kuvonchbek Rozimurod | Esanmurodov Shakhboz Vakhobjon | Rikhsikhodjayeva Gulchekhra Rashidkhodjayevn "On the Issue of Efficiency in the Transportation of Oil Products by Main Pipelines" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55065.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/55065/on-the-issue-of-efficiency-in-the-transportation-of-oil-products-by-main-pipelines/kuvondikov-kuvonchbek-rozimurod
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| Hygienic Assessment of Food and Biological the Values of Wheat Grain Grown with the Use of Plant Growth Stimulants Rostbisol, Oxyhumate, Bakor and Dorilin | | Author : Kuriyazova Saodat Matkarimovna | Pulat Khojamkulovich Kholikov | Husainova Khusniabad | | Abstract | Full Text | Abstract :Hygienic assessment of food products obtained from food crops treated with pesticides and the establishment of permissible residual amounts of pesticides in them is an important link in the system of measures that ensure the prevention of poisoning with pesticides and prevent the possibility of harmful effects on public health. Kuriyazova Saodat Matkarimovna | Pulat Khojamkulovich Kholikov | Husainova Khusniabad "Hygienic Assessment of Food and Biological the Values of Wheat Grain Grown with the Use of Plant Growth Stimulants: Rostbisol, Oxyhumate, Bakor and Dorilin" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55066.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/55066/hygienic-assessment-of-food-and-biological-the-values-of-wheat-grain-grown-with-the-use-of-plant-growth-stimulants-rostbisol-oxyhumate-bakor-and-dorilin/kuriyazova-saodat-matkarimovna
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| Household Lexicon in the Work Mahbub Ul Qulub | | Author : Muminova Umida Karshievna | | Abstract | Full Text | Abstract :This article contains the genesis of terms that represent the household lexicon in the language of the work, comments on the names of clothes and fabrics, clothing is also related to the region, conditions, lifestyle, traditions, customs, and nature of each people living since ancient times. closely related, indicates that this situation is expressed in the vocabulary layer of the language. Muminova Umida Karshievna "Household Lexicon in the Work "Mahbub Ul-Qulub"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55073.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/55073/household-lexicon-in-the-work-mahbub-ulqulub/muminova-umida-karshievna
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| Innovation Formation of Technological Competencies Based on the Approach | | Author : Akhunjonova Iroda Khan Joraboy | | Abstract | Full Text | Abstract :In the educational process, it was considered as an important factor to conduct classes based on innovations or innovative approaches, to include innovative educational elements in the activities of educational institutions, and to have an understanding of pedagogical innovations. Akhunjonova Iroda Khan Joraboy "Innovation Formation of Technological Competencies Based on the Approach" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55067.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/55067/innovation-formation-of-technological-competencies-based-on-the-approach/akhunjonova-iroda-khan-joraboy
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| Metacognitive Strategies and their Effective Use in Teaching Foreign Languages | | Author : Jorayeva Afruza Togaymurod | Jurakulov Gulomjon Hamrayevich | | Abstract | Full Text | Abstract :This article deals with metacognitive strategies and appropriate learning styles investigated by well known scientists and methodologists. Moreover, there will be precise description and views about problems and solutions to different learning styles. Learning a second or foreign language plays a crucial role in almost everyone’s life. It is not only about language learning, but also it helps to enhance skills or mind and can broaden one’s horizon. Students try to find easy ways to achieve success in learning and metacognitive strategies can assist them effectively and to make a better progress. Learning a second language has always been top issue in education system as it has both problems and together with that there are different strategies concerned with those matters. And metacognitive strategies are also considered as one of the approaches to that issue of language learning. Jorayeva Afruza Togaymurod | Jurakulov Gulomjon Hamrayevich "Metacognitive Strategies and their Effective Use in Teaching Foreign Languages" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55072.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/55072/metacognitive-strategies-and-their-effective-use-in-teaching-foreign-languages/jorayeva-afruza-togaymurod
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| Use of Interactive Educational Methods to Improve the Legal Culture of Future Customs Service Employees | | Author : Rafikova Muattar Ravshanovna | | Abstract | Full Text | Abstract :The article discusses the use of interactive teaching methods to improve the legal culture of future customs officers, the development of the interest of future customs officers in lessons, voluntary participation, self study, the desire for self legal education. Rafikova Muattar Ravshanovna "Use of Interactive Educational Methods to Improve the Legal Culture of Future Customs Service Employees" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55068.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/55068/use-of-interactive-educational-methods-to-improve-the-legal-culture-of-future-customs-service-employees/rafikova-muattar-ravshanovna
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| Professional Competence of the Teacher | | Author : Saparniyazova Zukhra Abdullayevna | | Abstract | Full Text | Abstract :The article deals with the professional competence of a teacher, which is a qualitative characteristic of a person and is defined as a multifactorial phenomenon that includes a system of theoretical knowledge, ways of their application in specific pedagogical situations. Saparniyazova Zukhra Abdullayevna "Professional Competence of the Teacher" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55071.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/55071/professional-competence-of-the-teacher/saparniyazova-zukhra-abdullayevna
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| Experience of Studying the Historical and Urban Potential of the Republic of Uzbekistan | | Author : Malakhat Muhidzhanovna Umarova | | Abstract | Full Text | Abstract :This article examines the history of development and the stages of the formation of cities in Uzbekistan. The development of cities is divided into 4 stages, each stage gave a new round of development in the history of urban planning. In the modern development of cities, the need to take into account the historical features of development. Malakhat Muhidzhanovna Umarova "Experience of Studying the Historical and Urban Potential of the Republic of Uzbekistan" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55075.pdf Paper URL: https://www.ijtsrd.com/engineering/civil-engineering/55075/experience-of-studying-the-historical-and-urban-potential-of-the-republic-of-uzbekistan/malakhat-muhidzhanovna-umarova
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| Clinical Cases of the Development of a Nonspecific Course of Pneumonia in Adolescents | | Author : Muminov Otamurod Beknazarovich | Umirzakov Zakir Baxriddinovich | Mamirov Asamiddin Egamberdiyevich | | Abstract | Full Text | Abstract :We conducted a literature review of the materials published in recent years on the prevalence and diagnosis of nonspecific interstitial pneumonia. It is noted that non specific interstitial lung pneumonia is no longer a rare disease. Muminov Otamurod Beknazarovich | Umirzakov Zakir Baxriddinovich | Mamirov Asamiddin Egamberdiyevich "Clinical Cases of the Development of a Nonspecific Course of Pneumonia in Adolescents" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55080.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/55080/clinical-cases-of-the-development-of-a-nonspecific-course-of-pneumonia-in-adolescents/muminov-otamurod-beknazarovich
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| History of the Concept of Philosophical Teachings about the Perfect Man | | Author : Azizova Laylo Sadriyevna | | Abstract | Full Text | Abstract :In our article, the tariffs given by eastern and western scholars about the perfect person, as well as the concept of the perfect person are briefly revealed. Views on the perfect person and their philosophical categories are explained. Azizova Laylo Sadriyevna "History of the Concept of Philosophical Teachings about the Perfect Man" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55076.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/philosophy/55076/history-of-the-concept-of-philosophical-teachings-about-the-perfect-man/azizova-laylo-sadriyevna
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| Prospects for the Development of Communication and Transport Systems in Uzbekistan | | Author : Salimov Bakhriddin Lutfullaevich | Jurakulov Xisrav Juraevich | Usmonov Kamronbek Bakhtiyorovich | | Abstract | Full Text | Abstract :The article analyzes the fact that the creation of society, which is the fruit of social relations, saved people from primitive times, and that the creation of society played an important role in the strengthening of the position of communication in peoples lifestyle, the emergence of the need for transportation and its further development. Salimov Bakhriddin Lutfullaevich | Jurakulov Xisrav Juraevich | Usmonov Kamronbek Bakhtiyorovich "Prospects for the Development of Communication and Transport Systems in Uzbekistan" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55081.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/55081/prospects-for-the-development-of-communication-and-transport-systems-in-uzbekistan/salimov-bakhriddin-lutfullaevich
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| Traditional Forms of Organizing Recreation and Leisure Spaces in the Cities of Uzbekistan | | Author : Halida Habibullaevna Kamilova | Kamilla Djumaevna Sattarova | | Abstract | Full Text | Abstract :Despite the traditional craving for relaxation in their personal space, at the present time, most of the residents of large and especially the largest cities in Asia cannot have such an opportunity. Therefore, to recuperate, people will use public spaces. The task of the state is to provide such conditions for the mass of people who do not have the possibility of individual space for recreation. Halida Habibullaevna Kamilova | Kamilla Djumaevna Sattarova "Traditional Forms of Organizing Recreation and Leisure Spaces in the Cities of Uzbekistan" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55077.pdf Paper URL: https://www.ijtsrd.com/engineering/civil-engineering/55077/traditional-forms-of-organizing-recreation-and-leisure-spaces-in-the-cities-of-uzbekistan/halida-habibullaevna-kamilova
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| The Social Significance of Roads and Ongoing Road Construction Work | | Author : Salimov Bakhriddin Lutfullaevich | Narzullaev Jasur Azamjonovich | Sodikov Tohirjon Ilkhomovich | | Abstract | Full Text | Abstract :The article focuses on the roads on which cars travel. the fact that roads existed before the creation of cars, but these roads were primarily intended for people, various animals, including horses and carts drawn by them, that over the years and centuries, people have made these roads convenient and adapted for themselves, and the great creativity in road construction in Uzbekistan works and their importance are analyzed. Salimov Bakhriddin Lutfullaevich | Narzullaev Jasur Azamjonovich | Sodikov Tohirjon Ilkhomovich "The Social Significance of Roads and Ongoing Road Construction Work" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55078.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/55078/the-social-significance-of-roads-and-ongoing-road-construction-work/salimov-bakhriddin-lutfullaevich
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| The Role of Civil Aviation in the Development of Countries | | Author : Salimov Bakhriddin Lutfullaevich | Olimov Kamronbek Holmuminovich | Mukhammadibrokhim Ikromjonovich | | Abstract | Full Text | Abstract :The article provides information about the emergence of air transport and its penetration into Central Asia. It was also analyzed that during the years of independence, unprecedented works were carried out in the field as a result of the development of air transport along with all types of transport in Uzbekistan, aimed at improving the economy and technology, as a result of optimally effective management of resources. Salimov Bakhriddin Lutfullaevich | Olimov Kamronbek Holmuminovich | Mukhammadibrokhim Ikromjonovich "The Role of Civil Aviation in the Development of Countries" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55079.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/55079/the-role-of-civil-aviation-in-the-development-of-countries/salimov-bakhriddin-lutfullaevich
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| The Significance and Place of Building Womens Support Centers in Samarkand Region | | Author : Kayumov H. I | Hayitmuradova Sofia Bakhodir qizi | | Abstract | Full Text | Abstract : Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55112.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/55112/the-significance-and-place-of-building-womens-support-centers-in-samarkand-region/kayumov-h-i
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| Importance of Railway Transport in Regional Development | | Author : Salimov Bakhriddin Lutfullaevich | Alliyarov Azizbek Vladimirovich | Mukhtarov Jasur Abdumanapovich | | Abstract | Full Text | Abstract :The article provides information about the emergence of railway transport and its introduction into Central Asia. Also, it was analyzed that during the years of independence, unprecedented works were carried out in the field of development of railway transport, economy and technology, as a result of efficient management of resources, along with all types of transport in Uzbekistan. Salimov Bakhriddin Lutfullaevich | Alliyarov Azizbek Vladimirovich | Mukhtarov Jasur Abdumanapovich "Importance of Railway Transport in Regional Development" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55082.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/55082/importance-of-railway-transport-in-regional-development/salimov-bakhriddin-lutfullaevich
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| The Development of the Automotive Industry and Road Construction are Interdependent | | Author : Salimov Bakhriddin Lutfullaevich | Abdullaev Umidjon Khasanboevich | Makhkamov Muhammadikbol Rakhimjonovich | | Abstract | Full Text | Abstract :The article analyzes issues such as the creation of its own automobile industry and the progress of road construction in Uzbekistan, the fact that independence opened the door to new opportunities for Uzbekistan and their realization, and the modernization of the countrys transport and communication sectors in accordance with the requirements of the times. Salimov Bakhriddin Lutfullaevich | Abdullaev Umidjon Khasanboevich | Makhkamov Muhammadikbol Rakhimjonovich "The Development of the Automotive Industry and Road Construction are Interdependent" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55084.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/55084/the-development-of-the-automotive-industry-and-road-construction-are-interdependent/salimov-bakhriddin-lutfullaevich
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| Vitiligo Because of Determining the Content of Natural Antibodies to Various Organis and Tissues of the Body and Detecting the General Somatic Status of Patients | | Author : Islamov Nurali Hikmatovich | Muminov Otamurod Beknazarovich | Ermanov Rustam Temirovich | | Abstract | Full Text | Abstract :Vitiligo disease is a violation of the color of the skin in the form of white spots, the histological examination of which reveals the absence or a sharp decrease in the content of melanin. Based on the determination of the content of natural antibodies to various organs and tissues of the body in the blood serum of patients with vitiligo, to assess the general somatic status of patients with vitiligo. The present study included 53 patients with various forms and stages of vitiligo, aged 12 to 59 years, who were on outpatient treatment at the clinic for skin and venereal diseases of the regional center of the city of Samarkand in the period from 2019 to 2021. To compare the results of laboratory studies, a group of 10 healthy donors was examined. It is necessary to conduct a full examination of patients with vitiligo in order to identify concomitant diseases and possible hidden trigger factors that provoke the development and progression of diseases. The most significant and convenient is the determination of the content of natural antibodies to various organs and tissues of the body by the ELI test, which allows you to identify somatic changes in patients with vitiligo, including at the preclinical stage of disease development. Islamov Nurali Hikmatovich | Muminov Otamurod Beknazarovich | Ermanov Rustam Temirovich "Vitiligo Because of Determining the Content of Natural Antibodies to Various Organis and Tissues of the Body and Detecting the General Somatic Status of Patients" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55083.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/55083/vitiligo-because-of-determining-the-content-of-natural-antibodies-to-various-organis-and-tissues-of-the-body-and-detecting-the-general-somatic-status-of-patients/islamov-nurali-hikmatovich
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| Influence of Trace Elements for the Development of Atopic Dermatitis in Children and Adolescents | | Author : Islamov Nurali Hikmatovich | Mamirov Asamiddin Egamberdiyevich | Ermanov Rustam Temirovich | | Abstract | Full Text | Abstract :Atopic dermatitis AD, atopic eczema, atopic eczema dermatitis syndrome is a chronic inflammatory skin disease that usually begins in early childhood and may continue or recur in adulthood.The study of atopic dermatitis remains one of the most urgent problems of modern dermatology due to its wide distribution, severe course, frequent relapses, and the disease of people of the most childhood age. According to statistics, in children it occupies one of the first places for the reasons for the appeal of patients to a dermatological clinic, it causes 30 40 of all skin diseases and 30 40 of cases of hospitalization in a dermatological hospital. The disease occurs in both sexes and in different age groups. The incidence ranges from 6.0 to 15.0 . Islamov Nurali Hikmatovich | Mamirov Asamiddin Egamberdiyevich | Ermanov Rustam Temirovich "Influence of Trace Elements for the Development of Atopic Dermatitis in Children and Adolescents" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55085.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/55085/influence-of-trace-elements-for-the-development-of-atopic-dermatitis-in-children-and-adolescents/islamov-nurali-hikmatovich
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| An Approach on Improving Learners’ Reading Comprehension Skills Trough Call in Teaching Learning Process of EFL Classes | | Author : Soataliyev Alisher Adhamjonovich | | Abstract | Full Text | Abstract :in this article, it is stated that the importance of utilizing computer technologies in the teaching learning process of English, especially reading skill. Soataliyev Alisher Adhamjonovich "An Approach on Improving Learners’ Reading Comprehension Skills Trough Call in Teaching-Learning Process of EFL Classes" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55086.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/55086/an-approach-on-improving-learners’-reading-comprehension-skills-trough-call-in-teachinglearning-process-of-efl-classes/soataliyev-alisher-adhamjonovich
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| Impacts of Game Based Learning in English Classroom | | Author : Islomjon Turdiev | | Abstract | Full Text | Abstract :English language is having more and wider scope in today’s fast moving world as it is being international common language for all over the world. Hence, EFL teachers have to find the best ways of teaching language and they are applying different methods in the classroom. One of the common method is to use games to improve students’ active participation in the classroom. Islomjon Turdiev "Impacts of Game Based-Learning in English Classroom" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55087.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/55087/impacts-of-game-basedlearning-in-english-classroom/islomjon-turdiev
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| Style of Appeal in Poetry | | Author : S. Matyakupov | | Abstract | Full Text | Abstract :Using the example of Rauf, the article scientifically and theoretically analyzes the stylization of address in poetry through the poet’s experiences, communication and relations between man and the world, as well as issues of expression and image in the formation of artistic communication. S. Matyakupov "Style of Appeal in Poetry" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55092.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/55092/style-of-appeal-in-poetry/s-matyakupov
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| A Book is a Priceless Treasure of Human Spirituality | | Author : Qudratova Manija Shohmansurgirl | | Abstract | Full Text | Abstract :This article discusses the book that has become the essence of our life and its value, how much place it has in the lives of young people. Qudratova Manija Shohmansurgirl "A Book is a Priceless Treasure of Human Spirituality" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55142.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/other/55142/a-book-is-a-priceless-treasure-of-human-spirituality/qudratova-manija-shohmansurgirl
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| The Role of Media in Teaching Agriculture | | Author : Annaguliyev Jamshid | Allamurodov Yigitali | | Abstract | Full Text | Abstract :The purpose of the article is to consider new approaches in the preparation of students of an agricultural university with the support of modern information and communication technologies ICT . The transition of agricultural education and methods of preparing students to new educational programs and standards, modern information platforms, digital technologies, information resources and online courses is obvious, allowing to improve the professional level of knowledge, skills and abilities. The article is of interest for further research of innovative solutions in the field of digital transformation of agricultural education. Annaguliyev Jamshid | Allamurodov Yigitali "The Role of Media in Teaching Agriculture" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55113.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/55113/the-role-of-media-in-teaching-agriculture/annaguliyev-jamshid
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| Researches in the Field of Computer Linguistics | | Author : Sultanova Shakhnoza Akmal qizi | | Abstract | Full Text | Abstract :the article discusses the development stages of learning grammar and related phenomena, creating an electronic database of linguistic units and including it in the National Corpus of Languages, improving the quality of automatic translation in the direction of computer linguistics, linguistic modeling of the language. Sultanova Shakhnoza Akmal qizi "Researches in the Field of Computer Linguistics" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55159.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/55159/researches-in-the-field-of-computer-linguistics/sultanova-shakhnoza-akmal-qizi
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| Identification of Clinical and Laboratory Changes in Acute Pneumonia in Young Children Living in an Unfavorable Ecological Environment | | Author : G. M. D Jumaniyazova | U. U. Yusupova | | Abstract | Full Text | Abstract :Object To study the clinical features of children with acute pneumonia living in an environmentally unfavorable environment.Methods 165 children from 1 to 3 years of age living in different regional conditions with acute non hospitalized acute illness were examined, including 120 patients permanently living in the Aral Sea region Khorezm region and 45 patients living in Tashkent comparison group . children were examined. The hemostasis system was studied on the basis of diagnostic anamnesis, clinical signs, instrumental and laboratory diagnoses.Results In determining the severity of the clinical course of Zotiljams disease, anamnestic data, the severity of external respiratory dysfunction and signs of intoxication, radiological changes in the lungs, information on the condition of the cardiovascular system, as well as the severity of disorders in other organs and systems were taken into account. Among the complaints of parents about the condition of their children, the most common was an increase in body temperature from 38.60 to 40.10 C and persisted for 6 8 days. High temperatures were recorded in the majority of children living in the Khorezm region 39.8 ± 1.20C compared to 38.9 ± 1.30C . At admission, the general condition of the children was assessed as moderately severe in 51.7 of cases in the main group and severe in 48.3 of cases, severe in 42.2 of cases in the control group, and moderately severe in 55 of cases. Children from Khorezm. Although children living in Tashkent were more often hospitalized in critical condition, the data were not reliable R 0.05 . G. M. D Jumaniyazova | U. U. Yusupova "Identification of Clinical and Laboratory Changes in Acute Pneumonia in Young Children Living in an Unfavorable Ecological Environment" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55114.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/55114/identification-of-clinical-and-laboratory-changes-in-acute-pneumonia-in-young-children-living-in-an-unfavorable-ecological-environment/g-m-d-jumaniyazova
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| Field of Fear in English and Uzbek | | Author : Saydaxmedova Gulhayoxon | | Abstract | Full Text | Abstract :In this article, I will give information about Fear , the concept of fear, what people are afraid of, and my thoughts about fear. Saydaxmedova Gulhayoxon "Field of Fear in English and Uzbek" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd56354.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/56354/field-of-fear-in-english-and-uzbek/saydaxmedova-gulhayoxon
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| Peculiarities and Problems of Fiction Translation | | Author : Ahunova Nozima Nurullohonovna | | Abstract | Full Text | Abstract :This article discusses the problem and peculiarities of translation of fiction form English into Russian. We looked into translation of idioms and phrases. To solve the problem put forward we chose the methods of research such as method of theoretical analysis, the method of observation and comparative analysis. Ahunova Nozima Nurullohonovna "Peculiarities and Problems of Fiction Translation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55118.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/55118/peculiarities-and-problems-of-fiction-translation/ahunova-nozima-nurullohonovna
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| Phonetic Terms as the Linguistic and Metalingual Tutorial | | Author : Kamalova Dilovar Azatkhanovna | | Abstract | Full Text | Abstract :The article considers an innovative project of a dictionary of phonetic terms aimed at the formation, development and improvement of the linguistic and metalinguistic competencies of potential users. One of the main goals of creating this handbook is to increase the efficiency of foreign language speaking. Kamalova Dilovar Azatkhanovna "Phonetic Terms as the Linguistic and Metalingual Tutorial" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55134.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/55134/phonetic-terms-as-the-linguistic-and-metalingual-tutorial/kamalova-dilovar-azatkhanovna
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| Proverbs as a Phraseological Unit | | Author : Muratova D. | Mamasoliyeva Z. | | Abstract | Full Text | Abstract :Many works have not yet been done on the semantic cultural analysis of phraseological units between English and Uzbek languages. However, linguocultural analysis of proverbs is one of the interesting directions in linguistics. This research has involved national cultural, etymological and semantic proverbs representing hospitality in English and Uzbek languages. Muratova D. | Mamasoliyeva Z. "Proverbs as a Phraseological Unit" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55160.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/55160/proverbs-as-a-phraseological-unit/muratova-d
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| Husayniy and Amiriy | | Author : Dilmurod Asqarov | | Abstract | Full Text | Abstract :This article analyzes the lyrical heritage of the reigning artists Husayniy and Amiriy, especially the great writing skills. From the manuscripts, bayozs and devozes, important points were identified and analyzed. The skill of using words, topic and continuation of the content is shown. Dilmurod Asqarov "Husayniy and Amiriy" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd56193.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/56193/husayniy-and-amiriy/dilmurod-asqarov
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| Pedagogical Mechanisms of Application of Innovative Technologies in the Training of Sports Coaches | | Author : Salikhov Shokhrukh Mansurovich | | Abstract | Full Text | Abstract :This article focuses on the main problems in the training of sports coaches, i.e. the pedagogical mechanisms of the application of new technologies in the field of sports, as well as the main factors that may arise in these processes. Salikhov Shokhrukh Mansurovich "Pedagogical Mechanisms of Application of Innovative Technologies in the Training of Sports Coaches" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd56195.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/56195/pedagogical-mechanisms-of-application-of-innovative-technologies-in-the-training-of-sports-coaches/salikhov-shokhrukh-mansurovich
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| B Soup Class in their Students Physical Education the Lesson of Formation Methodological Basics | | Author : Bekmurzaev Abdikarim Kulmurzayevich | | Abstract | Full Text | Abstract :In the article, the organization of elementary physical education classes based on interactive methods of teaching, the effective use of pedagogical technologies in the organization of educational activities organized in them, as well as in the provision of knowledge to elementary school students and their education The process of pedagogical activity aimed at achieving efficiency was considered about the factors. Bekmurzaev Abdikarim Kulmurzayevich "B Soup Class in their Students Physical Education the Lesson of Formation Methodological Basics" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd55161.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/55161/b-soup-class-in-their-students-physical-education-the-lesson-of-formation-methodological-basics/bekmurzaev-abdikarim-kulmurzayevich
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| The Importance of Game Activity in the Formation of Primary Class Students | | Author : Salikhov Timur Mansurovich | | Abstract | Full Text | Abstract :This article focuses on the role of activities in the formation of the consciousness of elementary school students, the importance of the game, which is the main activity for elementary school students. Salikhov Timur Mansurovich "The Importance of Game Activity in the Formation of Primary Class Students" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd56196.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/56196/the-importance-of-game-activity-in-the-formation-of-primary-class-students/salikhov-timur-mansurovich
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| Effective Methods of Developing Hearing Perception of Children with Hearing Defects | | Author : Lazizbek Khaitov | | Abstract | Full Text | Abstract :This article explains the theoretical foundations of learning and learning based on pedagogical technology, methods of developing hearing perception of hearing impaired children with the help of examples. The need to use advanced pedagogical technologies in the development of auditory perception of children with hearing impairment, the effectiveness of interactive methods, their importance in acquiring the necessary knowledge and skills has been shown. Lazizbek Khaitov "Effective Methods of Developing Hearing Perception of Children with Hearing Defects" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd56194.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/56194/effective-methods-of-developing-hearing-perception-of-children-with-hearing-defects/lazizbek-khaitov
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| Studying the Historical Development of National Values and its Specific Features in the Formation of Students’ Faith in the Motherland | | Author : Abduraxmanov Sherzod Nazarbayevich | | Abstract | Full Text | Abstract :This article examines the fact that values are a product of human consciousness and activity, as well as social economic, cultural spiritual development of society. At the same time analyzed that the values expressed the hopes, desires, material and spiritual needs of the people who lived at that time, and the content of the values changed as the requirements of the time and period changed. And on the basis of these values, it was thought that it is possible to form love for the Motherland among the students. Abduraxmanov Sherzod Nazarbayevich "Studying the Historical Development of National Values and its Specific Features in the Formation of Students’ Faith in the Motherland" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd56218.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/56218/studying-the-historical-development-of-national-values-and-its-specific-features-in-the-formation-of-students’-faith-in-the-motherland/abduraxmanov-sherzod-nazarbayevich
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| On the Question of the Translation Competence of Future Specialists | | Author : Karimov Rivojiddin Gulyamjanovich | | Abstract | Full Text | Abstract :This research article examines the issue of the translation competence of future specialists, reveals the history of translation studies and provides the opinions of scientists on competence and translation competence, also the structure of translation competence is disclosed in the article. Karimov Rivojiddin Gulyamjanovich "On the Question of the Translation Competence of Future Specialists" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd56217.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/56217/on-the-question-of-the-translation-competence-of-future-specialists/karimov-rivojiddin-gulyamjanovich
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| Ideas of Social Justice in the History of Social Philosophical Thought | | Author : Hamroev Saidjon Sanoevich | | Abstract | Full Text | Abstract :The idea of justice is a social necessity that has its place throughout the cultural and historical life of mankind. But it underwent changes depending on the time and specific conditions, and became richer with its social ideological content. This article scientifically analyzes the ideas of social justice in the philosophical views of thinkers. Hamroev Saidjon Sanoevich "Ideas of Social Justice in the History of Social Philosophical Thought" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd56219.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/social-science/56219/ideas-of-social-justice-in-the-history-of-social-philosophical-thought/hamroev-saidjon-sanoevich
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| Spiritual and Educational Processes in Institutions of Higher Education as Factors of Improving the Mechanism of Educating Students in the Spirit of Patriotism | | Author : Safoev Husen Aminovich | | Abstract | Full Text | Abstract :In this article, the issue of student personality development, spiritual and moral formation in bringing up a perfect human being, and their efforts to understand the duty and responsibility towards the nation and the Motherland are highlighted. Also, in the article, the specific goals that ensure the high level of spiritual and moral maturity and creativity ideas in a person and lead to perfection are described. Safoev Husen Aminovich "Spiritual and Educational Processes in Institutions of Higher Education as Factors of Improving the Mechanism of Educating Students in the Spirit of Patriotism" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd56220.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/56220/spiritual-and-educational-processes-in-institutions-of-higher-education-as-factors-of-improving-the-mechanism-of-educating-students-in-the-spirit-of-patriotism/safoev-husen-aminovich
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| Organization and Activities of Judicial Institutions in the Bukhara Peoples Soviet Republic | | Author : Zokirov Bobir Choriyevich | | Abstract | Full Text | Abstract :This article covers the issues of the establishment of judicial institutions in the Bukhara People’s Soviet Republic and its role in ensuring public security. The author also noted in the article that the peoples kazi courts have the right to hear criminal cases committed by citizens, the crimes of officials, crimes against the state and military crimes are considered by the Supreme Military Revolutionary tribunal. Zokirov Bobir Choriyevich "Organization and Activities of Judicial Institutions in the Bukhara Peoples Soviet Republic" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd57460.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/57460/organization-and-activities-of-judicial-institutions-in-the-bukhara-peoples-soviet-republic/zokirov-bobir-choriyevich
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| Forming the Image of a Tourist Destination in Uzbekistan | | Author : Rakhimov Zafar Odilovich | | Abstract | Full Text | Abstract :The article discusses the features of the formation of the image of a tourist destination in Uzbekistan. According to the results of the study, the image of the tourist destination of Uzbekistan, as a steadily developing republic on the territory of Central Asia, has every chance for the further development of tourist destinations. With a great tourism potential, the tourism destinations of Uzbekistan are currently in need of developing the concept of a tourism destination brand. Rakhimov Zafar Odilovich "Forming the Image of a Tourist Destination in Uzbekistan" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd56257.pdf Paper URL: https://www.ijtsrd.com/economics/other/56257/forming-the-image-of-a-tourist-destination-in-uzbekistan/rakhimov-zafar-odilovich
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| Improvement of Economic Mechanisms of State Support of Innovative Activities in Tourism | | Author : Jabborova Zukhra | | Abstract | Full Text | Abstract :This article presents some mechanisms of tourism development and its state support, ensuring the development of the tourism sector, increasing the efficiency and quality of tourist services, applying and diversifying the types of services provided to tourists in accordance with international standards and innovative approaches, increasing the share of tourism in the growth of the economy and tourism aimed at issues of regular improvement of the quality of services in the field. Jabborova Zukhra "Improvement of Economic Mechanisms of State Support of Innovative Activities in Tourism" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd56284.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/tourism/56284/improvement-of-economic-mechanisms-of-state-support-of-innovative-activities-in-tourism/jabborova-zukhra
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| The Historical Role of Bakhadir Yalangtush in the History of Uzbekistan XVI XVII Centuries | | Author : Mamatov Bektosh Tolibjon o`g`li | | Abstract | Full Text | Abstract :Recreating the image of historical figures who lived in the past, the world community, the wide disclosure of their contribution to the life of man and society is one of the important tasks of modern world history. Today, the status of the city of Samarkand , which made the name of our country famous and famous in the world, and the formation of the statehood of the Uzbek people in the 16th 17th centuries are directly related to the activities of Yalangtosh Bahadir. This article discusses the activities of Yalangtosh Bahadir, a major politician, patron of creativity, culture and science, his place in the politics of the times of the Sheibanites and Ashtarkhanids, his extensive creative activity in Samarkand. Mamatov Bektosh Tolibjon o`g`li "The Historical Role of Bakhadir Yalangtush in the History of Uzbekistan (XVI-XVII Centuries)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd56258.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/history/56258/the-historical-role-of-bakhadir-yalangtush-in-the-history-of-uzbekistan-xvixvii-centuries/mamatov-bektosh-tolibjon-o`g`li
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| Comparative Analysis of Metaphor, Synecdoche and Hyperbole Used in the Epic Alpomish and its Translation | | Author : Xolmuminov Ilxom Abdixalilovich | | Abstract | Full Text | Abstract :In this article, a comparative analysis of stylistic devices such as hyperbole, synecdoche and metaphor is carried out in the original and translated text of the epic Alpomish , which is an example of Uzbek folklore. At the same time, it was determined how adequate the translated text is to the original. Xolmuminov Ilxom Abdixalilovich "Comparative Analysis of Metaphor, Synecdoche and Hyperbole Used in the Epic "Alpomish" and its Translation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd56285.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/literature/56285/comparative-analysis-of-metaphor-synecdoche-and-hyperbole-used-in-the-epic-alpomish-and-its-translation/xolmuminov-ilxom-abdixalilovich
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| Teaching English Grammar using Interactive Methods | | Author : Khasanova Maftuna Sherali kizi | | Abstract | Full Text | Abstract :Modern IT specialists as well as specialists in other non linguistic fields of activity need to have communication skills in a professional environment. Some cases when students of non linguistic educational institutions do not realize the fact of the semantic content of grammatical structures, which leads to misunderstanding or distortion of the content of the material are considered in the article. Khasanova Maftuna Sherali kizi "Teaching English Grammar using Interactive Methods" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd56307.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/56307/teaching-english-grammar-using-interactive-methods/khasanova-maftuna-sherali-kizi
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| Similarities and Differences of Precedent Nouns in English and Uzbek Languages | | Author : Kuldosheva Shohinabonu Otabekovna | Achilova Risolat Azamovna | | Abstract | Full Text | Abstract :Languages are the reflection of the culture, history, and traditions of a community. Each language has its unique features and rules, and exploring them helps to understand the community in a better way. One such feature of the languages is the use of precedent nouns. Precedent nouns are the nouns that have been used previously in a text, discourse, or conversation, and are referred to again. They are significant in understanding the structure and usage of a language. This article aims to study precedent nouns in English and Uzbek languages, their usage, and their significance. Kuldosheva Shohinabonu Otabekovna | Achilova Risolat Azamovna "Similarities and Differences of Precedent Nouns in English and Uzbek Languages" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd56308.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/56308/similarities-and-differences-of-precedent-nouns-in-english-and-uzbek-languages/kuldosheva-shohinabonu-otabekovna
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| Semantic Features and Types of Simile in Prose | | Author : Rahmonova Sitora Ulugbek qizi | Achilova Risolat Azamovna | | Abstract | Full Text | Abstract :This article deals with the semantics of simile phenomenon features and form are discussed. Alisher Navois ghazals were taken as the object of research, and comments were made about the structural features of the simile phenomenon. Rahmonova Sitora Ulugbek qizi | Achilova Risolat Azamovna "Semantic Features and Types of Simile in Prose" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd56309.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/56309/semantic-features-and-types-of-simile-in-prose/rahmonova-sitora-ulugbek-qizi
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| Bahauddin Nakshband’s Shrine in Daries of Travelers | | Author : Shavkat Bobojonov | | Abstract | Full Text | Abstract :This article deals with a scientific analysis of the shrine of Sheikh Bahauddin Naqshband, its historical structure at that time, the issues of pilgrimage and worship of Muslims, which attracted the attention of tourists from around the world who came to Bukhara. Shavkat Bobojonov "Bahauddin Nakshband’s Shrine in Daries of Travelers" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd56353.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/56353/bahauddin-nakshband’s-shrine-in-daries-of-travelers/shavkat-bobojonov
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| Some Methods of Expressive and Meaningful Reading in a Foreign Language Teaching | | Author : Mirzayeva Muhabbat Jalolovna | | Abstract | Full Text | Abstract :In this article there are discussed some methods of expressive and meaningful reading in a foreign language teaching. In addition, there is analyzed the reading on two levels the operational level, and motivation thinking level. Mirzayeva Muhabbat Jalolovna "Some Methods of Expressive and Meaningful Reading in a Foreign Language Teaching" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd56355.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/other/56355/some-methods-of-expressive-and-meaningful-reading-in-a-foreign-language-teaching/mirzayeva-muhabbat-jalolovna
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| Reading as a Speech Skill | | Author : Raimova Nigora Baxtiyar qizi | | Abstract | Full Text | Abstract :The article deals with the improvement of reading as speech skill. Reading aloud helps you learn to read silently. The ratio of reading aloud and reading to yourself at the initial stage should be in favor of the first. From this, we can draw the following conclusions, those methodologists who believe that at the beginning of teaching the German language it is advisable to develop only loud reading are wrong. Even in the first year of study on individual texts, if they are provided with appropriate tasks, one should develop reading to oneself. Raimova Nigora Baxtiyar qizi "Reading as a Speech Skill" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd56356.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/56356/reading-as-a-speech-skill/raimova-nigora-baxtiyar-qizi
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| Corpus Linguistics as a Branch of Applied Linguistics | | Author : Xonqulova Nilufar Ravshanovna | | Abstract | Full Text | Abstract :The article deals with the basic concepts of corpus linguistics. General characteristics of the national corpus of the English language. The study of lexical categories of polysemy and homonymy, synonymy and antonymy. The use of corpus data in the study of syntax and morphology. Xonqulova Nilufar Ravshanovna "Corpus Linguistics as a Branch of Applied Linguistics" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd56357.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/56357/corpus-linguistics-as-a-branch-of-applied-linguistics/xonqulova-nilufar-ravshanovna
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| Improving the Efficiency of Providing Logistics Services to the Population | | Author : Tinicheva Marjona | | Abstract | Full Text | Abstract :The article analyzes the general concepts of logistics, operations carried out during the delivery of raw materials to manufacturing enterprises, and their economic efficiency. Tinicheva Marjona "Improving the Efficiency of Providing Logistics Services to the Population" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd56358.pdf Paper URL: https://www.ijtsrd.com/economics/other/56358/improving-the-efficiency-of-providing-logistics-services-to-the-population/tinicheva-marjona
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| Directions for Improving Product Quality in Food Industry Enterprises | | Author : Ibragimov Ganijon Gayratovich | | Abstract | Full Text | Abstract :The article describes the scientific theoretical basis of developing the activities of food industry enterprises and improving the quality of their products, analyzes the indicators of the development of the food industry in Uzbekistan, provides a scientific basis for the SADT methodology of inspection of raw material suppliers in the food industry, and proposals for improving product quality in industrial enterprises. Ibragimov Ganijon Gayratovich "Directions for Improving Product Quality in Food Industry Enterprises" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd57494.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/57494/directions-for-improving-product-quality-in-food-industry-enterprises/ibragimov-ganijon-gayratovich
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| Concept of Discourse in Modern Linguistics | | Author : Gulnorakhon Niyazova | | Abstract | Full Text | Abstract :This article deals with the concept of discourse and perception of the cognitive pragmatic theory when reading literary texts. On the basis of the article, an attempt was made to substantiate the question of the dynamism of the term Discourse in terms of its semantic change, the most common use in the field of linguistics, the ambiguity of this term and its use in various fields of humanitarian knowledge, which creates different approaches to the interpretation of the meaning and essence of this concept. This study is relevant for researchers of a new, but increasingly developing cognitive discourse of linguistics, as it directly affects the issues of pragmatics and gender linguistics. Gulnorakhon Niyazova "Concept of Discourse in Modern Linguistics" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd57377.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/literature/57377/concept-of-discourse-in-modern-linguistics/gulnorakhon-niyazova
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| Peculiarities of Contemporary Research of Representatives of the American School of Psychology | | Author : Rustamov Shavkat Shukhratovich | Dzabarova Zamira Shukurovna | | Abstract | Full Text | Abstract :To increase the power of the articles in the production of psychology, effective research work was carried out in these periods, the need to develop the results of the science is felt in order to make the research work effective. show Beyond consciousness, embodied with the individual organism. James asked, What is emotion In his article, he says that emotion is a persons sense of self. on top of that, everyone thinks that consciousness is motor. You will also get all the information about what is related to pragmatism . Rustamov Shavkat Shukhratovich | Dzabarova Zamira Shukurovna "Peculiarities of Contemporary Research of Representatives of the American School of Psychology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd57461.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/57461/peculiarities-of-contemporary-research-of-representatives-of-the-american-school-of-psychology/rustamov-shavkat-shukhratovich
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| Differences in American and British English Vocabulary | | Author : Khairatdinova Azima Miratdin kizi | | Abstract | Full Text | Abstract :The article deals with differences in American and British English vocabulary. The spoken forms of British English vary considerably, reflecting a long history of dialect development amid isolated population, In the United Kingdom, dialects, word use and accents vary not only between England, Northern Ireland, Scotland and Wales, but also within them. Received Pronunciation RP refers to a way of pronouncing standard English that is actually used by about two percent of the UK population. It remains the accent upon which dictionary pronunciation guides are based, and for teaching English as a foreign language. It is referred to colloquially as “the Queen`s English”, “Oxford English” and “BBC English”, although by means do all graduates of the university speak with such an accent and the BBC no longer requires it or uses it exclusively. Khairatdinova Azima Miratdin kizi "Differences in American and British English Vocabulary" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd57382.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/57382/differences-in-american-and-british-english-vocabulary/khairatdinova-azima-miratdin-kizi
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| The Role of the Family in Society | | Author : Rakhimova Raykhan Abdurasulovna | | Abstract | Full Text | Abstract :The role of the family in society, measures that keep the family strong by being granted opportunities to the families of our state, protection in all spheres of doing the word about the interests of her family. Rakhimova Raykhan Abdurasulovna "The Role of the Family in Society" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd57405.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/57405/the-role-of-the-family-in-society/rakhimova-raykhan-abdurasulovna
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| Theolingustics in Modern Humanities Origins, Basic Ideas and Trends | | Author : Shukurova Nodira Baxtiyarovna | | Abstract | Full Text | Abstract :The article deals with the analyses of the foundations and ways of forming a new integrative discipline – “Theolinguistics”, aimed at studying the relationship between language and religion. Theolinguistics is considered in a broad cultural and historical context, in the unity of its various forms and aspects, as a necessary moment in the development of humanitarian knowledge and the spiritual life of modern society. Shukurova Nodira Baxtiyarovna "Theolingustics in Modern Humanities: Origins, Basic Ideas and Trends" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd57406.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/57406/theolingustics-in-modern-humanities-origins-basic-ideas-and-trends/shukurova-nodira-baxtiyarovna
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| Reflection of Education in Religious Matters | | Author : Bozorova Rozigul Sharofovna | Avezov Otabek Odilovich | | Abstract | Full Text | Abstract :The article discusses the views of Eastern thinkers on issues of education and morality, child education in Islam. Also, knowing the educational methods and means of inculcating the ideas, views, ideas of Eastern thinkers into the work of the young generation, and using them correctly in life is one of the important features of the teachers pedagogical skills. pedagogical education. revealed that. Bozorova Rozigul Sharofovna | Avezov Otabek Odilovich "Reflection of Education in Religious Matters" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd57459.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/57459/reflection-of-education-in-religious-matters/bozorova-rozigul-sharofovna
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| Characteristics of Forming Communicative Competence in Teaching Oral Interpretation to Students of Language Universities | | Author : Farxodova Dilnoza Jumaboy qizi | | Abstract | Full Text | Abstract :The study is devoted to the problem of the formation of translation competence among students of language universities. The subject of the study was the translation competence of the future interpreter. The necessity of forming this competence while studying at a university is substantiated, since the possession of translation skills is one of the key requirements for the successful professional activity of a modern specialist in the field of translation. It is concluded that the most important thing is the correspondence of the content of the translation course to the content of the foreign language course of the specialty, the emphasis on the study of specialized terminology and the formation of the ability to conduct information reference and terminological searches in foreign and native languages. Particular attention should be paid to enhancing the work of students, increasing their motivation and internal readiness for the implementation of a professionally oriented translation. Farxodova Dilnoza Jumaboy qizi "Characteristics of Forming Communicative Competence in Teaching Oral Interpretation to Students of Language Universities" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd57462.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/other/57462/characteristics-of-forming-communicative-competence-in-teaching-oral-interpretation-to-students-of-language-universities/farxodova-dilnoza-jumaboy-qizi
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| Innovative Development of Agriculture in Uzbekistan and its Digital Transformation | | Author : Shukuraliyeva Nodiraxon Muxtarjon qizi | | Abstract | Full Text | Abstract :The article deals with innovative development of agriculture in Uzbekistan and its digital transformation. So as the developments in the field of innovation in the agro industrial complex, considered in the article, mainly the first stage of innovation process management as the stage of creating and mastering innovations. Shukuraliyeva Nodiraxon Muxtarjon qizi "Innovative Development of Agriculture in Uzbekistan and its Digital Transformation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd57478.pdf Paper URL: https://www.ijtsrd.com/management/business-administration/57478/innovative-development-of-agriculture-in-uzbekistan-and-its-digital-transformation/shukuraliyeva-nodiraxon-muxtarjon-qizi
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| Theoretical Basis and Strategy of Interbank Competition between Commercial Banks | | Author : Yuldasheva Manzura Ollashkurovna | | Abstract | Full Text | Abstract :In this article, the theoretical foundations of the concepts of interbank competition and competitiveness between commercial banks are studied. In addition, a system for determining the most important elements of competitiveness and the optimal state of interbank competition is proposed. Yuldasheva Manzura Ollashkurovna "Theoretical Basis and Strategy of Interbank Competition between Commercial Banks" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd57495.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/57495/theoretical-basis-and-strategy-of-interbank-competition-between-commercial-banks/yuldasheva-manzura-ollashkurovna
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| Views on Family and Education in the Quran | | Author : Bozorova Rozigul Sharofovna | Ibadova Zamira Rashidovna | | Abstract | Full Text | Abstract :In our holy religion Islam, everyone is addressed equally and men and women are treated equally. In terms of rights, one is not preferred over the other. therefore, the Islamic Sharia intended to use it in a general form, and it is considered protection . Protection is manifested in different ways and in different forms. them, the honor of women, everything that concerns them is protected on the basis of Islam. For this reason, the rights and rights of women in the Holy Quran and the Prophets Sunnah are given with special attention, with justice, kindness and love. With this in mind, he brings to your attention the verses and hadiths that envisage a womans life as a daughter, wife and mother, and respect and protection in her stages of life. Bozorova Rozigul Sharofovna | Ibadova Zamira Rashidovna "Views on Family and Education in the Quran" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd57496.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/57496/views-on-family-and-education-in-the-quran/bozorova-rozigul-sharofovna
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| The Effect of Environment and Culture on Language Development | | Author : Muminova Durdonaxon Shukhratovna | | Abstract | Full Text | Abstract :Today, it is very common to hear foreign speech on the streets of large cities. They speak English, French, German and other languages and dialects. This became possible because since 1991 our country has entered the world language space. Nevertheless, to enter the language space does not mean knowing, understanding and respecting the speakers of another language. A deeper understanding of this issue is needed. After all, behind the language is the state, culture, behavior and way of life. Therefore, one of the main tasks of a modern teacher of a foreign language is not only to teach the younger generation the knowledge of this language, but also to acquaint them with the peculiarities of the life of its speakers. In addition, this, in turn, contributes to an increase in the general cultural level of students in an open educational environment. Muminova Durdonaxon Shukhratovna "The Effect of Environment and Culture on Language Development" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd57497.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/environmental-science/57497/the-effect-of-environment-and-culture-on-language-development/muminova-durdonaxon-shukhratovna
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| The Emergence of Jadidist Schools in Bukhara | | Author : Gulboyev Akbar Tukhtaevich | Khakimov Shukhrat Shodievich | | Abstract | Full Text | Abstract :New method schools are educational institutions that reformed the educational methods and programs of Muslim schools, taught children khatsavod in their mother tongue, and promoted innovative ideas. Studying the development prospects of the Bukhara Pedagogical School in the process of educating students. Gulboyev Akbar Tukhtaevich | Khakimov Shukhrat Shodievich "The Emergence of Jadidist Schools in Bukhara" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd57498.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/57498/the-emergence-of-jadidist-schools-in-bukhara/gulboyev-akbar-tukhtaevich
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| Technology and Methods of Teaching Writing in English Proficiency in Writing | | Author : Sultanova Dilnoza Saliyevna | | Abstract | Full Text | Abstract :The article has developed a set of tasks and exercises designed to teach foreign language writing and writing at school. The set goal, in turn, requires the solution of a number of tasks identifying the main characteristics of writing and written speech the study of the difficulties that arise in teaching writing on the basis of the studied theoretical material, develop a set of exercises and tasks for teaching writing and writing in English lessons. Sultanova Dilnoza Saliyevna "Technology and Methods of Teaching Writing in English: Proficiency in Writing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd57557.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/57557/technology-and-methods-of-teaching-writing-in-english-proficiency-in-writing/sultanova-dilnoza-saliyevna
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| Factors of Formation of Pedagogical Competence in Teachers | | Author : Samadova Sarvinoz Samad Qizi | Prof. Julia Georgieva Doncheva | | Abstract | Full Text | Abstract :This article talks about the factors of formation of pedagogical competence in teachers, the manifestation of modern teacher competence in the era of globalization, the aspects that should be paid attention to in order to develop the competence of pedagogical experts. Samadova Sarvinoz Samad Qizi | Prof. Julia Georgieva Doncheva "Factors of Formation of Pedagogical Competence in Teachers" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd57499.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/57499/factors-of-formation-of-pedagogical-competence-in-teachers/samadova-sarvinoz-samad-qizi
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| English as a Basic Course in Modern World | | Author : Tursunhodjayev Jahongir Javdatovich | | Abstract | Full Text | Abstract :The article deals with English as a basic course in modern world and communicative approach to language learning and teaching. Today, more and more people are striving to learn English, but there are those who still have not realized the importance of a foreign language in the life of a modern person. It is to these people that our todays article is dedicated. What prospects does a basic English course open up for people In the article, these problems are discussed as well. Tursunhodjayev Jahongir Javdatovich "English as a Basic Course in Modern World" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd57500.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/57500/english-as-a-basic-course-in-modern-world/tursunhodjayev-jahongir-javdatovich
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| The Place and Role of Ideology as a Spiritual Reality in the New Uzbekistan | | Author : Ismatov Shohruhbek Murod ugli | | Abstract | Full Text | Abstract :This article analyzes todays various ideological threats, society, ideology and its historical roots, ideological immunity, the unity of our people around the idea of “Human interest is above all else” and “We will build a new Uzbekistan together”. The article also examines the issue of ensuring the complete freedom of citizens in our society today, forming ideological immunity in the younger generation, raising the mature political consciousness of citizens, and educating them in the spirit of national and universal values. Ismatov Shohruhbek Murod ugli "The Place and Role of Ideology as a Spiritual Reality in the New Uzbekistan" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd57554.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/57554/the-place-and-role-of-ideology-as-a-spiritual-reality-in-the-new-uzbekistan/ismatov-shohruhbek-murod-ugli
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| Formation of Communicative Competence as a Means of World Communication | | Author : Mahmudova Shahnozaxon Odiljon qizi | | Abstract | Full Text | Abstract :The formation of communicative competence is one of the main means of implementing a foreign language as a means of world communication and interpenetration of cultures. The following essential skills are included in the communicative competence to read and understand simple, authentic texts with understanding of the main content and with full understanding orally communicate in standard situations of educational, labor, cultural, everyday spheres orally, briefly talk about yourself, the environment, retell, express an opinion, assessment the ability to write and convey elementary information letter . Mahmudova Shahnozaxon Odiljon qizi "Formation of Communicative Competence as a Means of World Communication" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd57555.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/57555/formation-of-communicative-competence-as-a-means-of-world-communication/mahmudova-shahnozaxon-odiljon-qizi
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| Russian as the National Language of the People | | Author : Ozoda Raufova | | Abstract | Full Text | Abstract :The Russian language is used as a means of interethnic communication in the near abroad. Currently, Russian is one of the languages of European and World importance. Along with English, French, Spanish, Chinese, and Arabic, it is recognized as the official and working language of the United Nations. Modern Russian literary language is studied by more than 250 million people in about 100 countries of the world. Ozoda Raufova "Russian as the National Language of the People" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd57556.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/57556/russian-as-the-national-language-of-the-people/ozoda-raufova
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| Proverbs as a Means of Showing Peoples Culture | | Author : Sultonova Nigora Abduganievna | | Abstract | Full Text | Abstract :Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd58577.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/58577/proverbs-as-a-means-of-showing-peoples-culture/sultonova-nigora-abduganievna
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| Use of Innovative Technologies in Technology Lessons | | Author : Mamarajabova Yulduz Chorshanbi kizi | Bobomurodov Sirojiddin | | Abstract | Full Text | Abstract :In this article In technology classes, the use of innovative technologies, the forms and methods of using innovative technologies, the methods of using innovative technologies in the educational process are widely covered. Mamarajabova Yulduz Chorshanbi kizi | Bobomurodov Sirojiddin "Use of Innovative Technologies in Technology Lessons" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd59621.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/59621/use-of-innovative-technologies-in-technology-lessons/mamarajabova-yulduz-chorshanbi-kizi
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| Linguo Cognitive Aspects of Idioms in English | | Author : Muhitdinov Dilshod Tohirovich | | Abstract | Full Text | Abstract :The article deals with linguo cognitive aspects of idioms in English language. Idioms are the significant element of the English language. Being culturally conditioned, these units reflect the features of conceptualization native speakers of the language of the world. The possibility of teaching the phraseological level of English on a linguistic cognitive basis within the framework of a communicative cognitive approach is justified. The significance and prospects of a communicative cognitive approach to teaching English in current educational realities are substantiated. Muhitdinov Dilshod Tohirovich "Linguo-Cognitive Aspects of Idioms in English" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd58576.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/58576/linguocognitive-aspects-of-idioms-in-english/muhitdinov-dilshod-tohirovich
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| The Analysis of Metaphorical Representation in English, Uzbek and Russian Languages | | Author : Kurvonbekov Manuchekhr Islomjon ugli | | Abstract | Full Text | Abstract :The article deals with the analysis of metaphorical representation in English, Uzbek and Russian languages. Metaphors have thus developed into a crucial component of literary writing that helps readers choose the books that are right for them to read. Kurvonbekov Manuchekhr Islomjon ugli "The Analysis of Metaphorical Representation in English, Uzbek and Russian Languages" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd58578.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/english/58578/the-analysis-of-metaphorical-representation-in-english-uzbek-and-russian-languages/kurvonbekov-manuchekhr-islomjon-ugli
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| Integration of Labor Education and Training | | Author : Mamarajabova Yulduz Chorshanbi kizi | Bobomurodov Sirojiddin | | Abstract | Full Text | Abstract :In this article, the integrity of labor education and upbringing, attitude to work, Satisfactory conditions, Factors to improve the efficiency of integrated educational activities. Mamarajabova Yulduz Chorshanbi kizi | Bobomurodov Sirojiddin "Integration of Labor Education and Training" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd59618.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/59618/integration-of-labor-education-and-training/mamarajabova-yulduz-chorshanbi-kizi
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| Development of Foreign Trade in the Conditions of Integration of the Republic of Uzbekistan into the World Economy | | Author : Kadirov Farhad Mamarajabovich | | Abstract | Full Text | Abstract :This article talks about the development of foreign and domestic trade and cooperation with foreign countries in the context of the integration of our republic into the world economy. Kadirov Farhad Mamarajabovich "Development of Foreign Trade in the Conditions of Integration of the Republic of Uzbekistan into the World Economy" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd59619.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/59619/development-of-foreign-trade-in-the-conditions-of-integration-of-the-republic-of-uzbekistan-into-the-world-economy/kadirov-farhad-mamarajabovich
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| Use of Information Technologies in Technology Classes | | Author : Mamarajabova Yulduz Chorshanbi kizi | Bobomurodov Sirojiddin | | Abstract | Full Text | Abstract :In this article In technology lessons, detailed information is provided about the use of information technologies, information communication technologies, information technologies classification and development prospects, presentation preparation technologies for practical training. Mamarajabova Yulduz Chorshanbi kizi | Bobomurodov Sirojiddin "Use of Information Technologies in Technology Classes" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd59620.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/59620/use-of-information-technologies-in-technology-classes/mamarajabova-yulduz-chorshanbi-kizi
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| The Importance of Writing and Written Speech in Mastering Oral Communication in a Foreign Language | | Author : Tursunhodjayev Jahongir Javdatovich | | Abstract | Full Text | Abstract :The article considers about the importance of writing and written speech in mastering oral communication in a foreign language. It analyzes the goals of teaching writing, the features of teaching writing and written speech, the content of teaching writing, exercises in teaching writing and written speech. Tursunhodjayev Jahongir Javdatovich "The Importance of Writing and Written Speech in Mastering Oral Communication in a Foreign Language" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Multidisciplinary Approaches and Applications Studies in Research and Innovation , May 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79874.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79874/the-importance-of-writing-and-written-speech-in-mastering-oral-communication-in-a-foreign-language/tursunhodjayev-jahongir-javdatovich
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| A Machine Learning Approach to Bitcoin Price Forecasting | | Author : Shalini Jha | Sanika Rangari | | Abstract | Full Text | Abstract :One of the most revolutionary financial breakthroughs of the twenty first century, Bitcoin is transforming conventional ideas of money, investing, and decentralized finance. However, because of its extraordinary price volatility, accurately predicting Bitcoin prices is a challenging and complex undertaking. In contrast to traditional financial assets, a number of factors, such as market sentiment, technology advancements, social media trends, and international regulatory rules, affect the price of Bitcoin. Traditional statistical forecasting methods are often insufficient for accurate prediction due to these dynamic and nonlinear components. This research study suggests a machine learning based method for predicting Bitcoin prices using past market data and predictive modeling approaches. The study examines how supervised learning algorithms can identify hidden patterns in cryptocurrency related datasets. To evaluate prediction accuracy, adaptability, and performance in unstable environments, several models are analyzed. The proposed methodology emphasizes feature engineering, data preprocessing, and model evaluation using performance metrics such as prediction accuracy and Mean Squared Error MSE . The results show that by identifying nonlinear correlations in financial data, machine learning techniques surpass conventional time series methods in forecasting skills. This study advances our knowledge of how smart algorithms may help academics, analysts, and investors make wise choices in the cryptocurrency markets. The nonlinear patterns and quick swings seen in cryptocurrency markets are frequently difficult for traditional financial forecasting models to account for. This paper suggests a machine learning based method for predicting the price of Bitcoin utilizing data driven forecasting approaches, technical indications, and historical market data. The analysis of time series data gathered from cryptocurrency exchanges, such as opening and closing prices, trading volumes, market sentiment indicators, and price swings, is the main emphasis of the study. Machine learning models, in contrast to conventional statistical techniques, are capable of automatically identifying intricate correlations in massive datasets without depending on presumptions. To find patterns and increase prediction accuracy, algorithms like Random Forest, Long Short Term Memory LSTM networks, Support Vector Machines SVM , and Linear Regression are investigated. The integration of feature engineering and model comparison to identify the best learning method under various market conditions is one of this works primary contributions. Data pretreatment methods include handling missing values, normalization, and noise reduction are used to improve model performance. To enable accurate evaluation of forecasting capacity, the suggested approach assesses prediction outcomes using performance indicators such as Mean Absolute Error MAE , Root Mean Square Error RMSE , and prediction accuracy. This study also emphasizes how crucial it is to combine artificial intelligence with financial domain expertise in order to comprehend the dynamics of the Bitcoin market. The findings show that machine learning models—in particular, deep learning architectures—are superior to traditional techniques in identifying temporal correlations and hidden patterns in bitcoin price fluctuations. Researchers and investors have given cryptocurrencies a lot of attention because to their explosive growth, especially when it comes to forecasting Bitcoins price behaviour. Traditional financial forecasting techniques frequently fail to generate precise forecasts because of its extremely volatile and nonlinear character. Using historical market data, this study investigates the use of machine learning approaches for Bitcoin price predictions. The study focuses on finding significant characteristics such past price trends, trade volume, and market indicators by examining patterns in time series data. The efficacy of different machine learning algorithms in forecasting future price changes is assessed. Evaluation metrics like Mean Absolute Error MAE and Root Mean Square Error RMSE are used to evaluate the models performance after they have been trained and tested on historical Bitcoin datasets. Shalini Jha | Sanika Rangari "A Machine Learning Approach to Bitcoin Price Forecasting" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101271.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101271/a-machine-learning-approach-to-bitcoin-price-forecasting/shalini-jha
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| The Dynamics of the Annual Development of Indicators of the Physical Quality of Military Servicemen | | Author : U. A. Sultonov | | Abstract | Full Text | Abstract :the annual dynamics of the physical characteristics of military servicemen under the age of 30 35, as well as the dynamics of annual development, are discussed. U. A. Sultonov "The Dynamics of the Annual Development of Indicators of the Physical Quality of Military Servicemen" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd59630.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/59630/the-dynamics-of-the-annual-development-of-indicators-of-the-physical-quality-of-military-servicemen/u-a-sultonov
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| Typology of Intralinguistic Factors Causing Cross Linguistic Lexical Interference | | Author : Turaeva Muborak Abdukhamidovna | | Abstract | Full Text | Abstract :The article deals with the typology of intralinguistic factors causing cross linguistic lexical interference. It deals with linguistic factors that play an important role in identifying and classifying the main causes of interference as a multidisciplinary phenomenon. Turaeva Muborak Abdukhamidovna "Typology of Intralinguistic Factors Causing Cross-Linguistic Lexical Interference" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Multidisciplinary Approaches and Applications Studies in Research and Innovation , May 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79873.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79873/typology-of-intralinguistic-factors-causing-crosslinguistic-lexical-interference/turaeva-muborak-abdukhamidovna
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| Historical Formation of Residential in Uzbekistan | | Author : Nurmuradova Yulduz Bazarovna | Abdurakhmonova Parvina Dzhakhangirovna | | Abstract | Full Text | Abstract :The article highlights the typology, history of residential buildings, their general problems, issues of housing construction, types classification of housing, housing and its composition, as well as functional and technological dependence, which examines the development of society, climatic conditions, demography of the population, the functional problem of settlement, its solution, the impact on appearance shown. The article discusses the types and amenities of residential buildings on the example of Khiva, Ferghana, Bukhara and Samarkand. The customs of the people also affect the maintenance of the house. One of the main traditions of the Uzbek people is to spend more time outdoors. This custom stems from nature, the climatic conditions of our country, which dictate the inclusion of outdoor summer rooms, verandas and canopies in the interior of the apartment. Here residents are waiting for guests, resting and sleeping. Nurmuradova Yulduz Bazarovna | Abdurakhmonova Parvina Dzhakhangirovna "Historical Formation of Residential in Uzbekistan" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd59678.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/history/59678/historical-formation-of-residential-in-uzbekistan/nurmuradova-yulduz-bazarovna
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| Brief Remarks on the Architecture of Japanese National Tea Houses | | Author : ?ymatov ?nvarbek ?bdixoliqovich | Alijanova M. Sh | | Abstract | Full Text | Abstract :Japan is distinguished by its own national traditions and customs. A clear example of this is Tea Ceremonies . This ritual is considered ancient and dates back to the Edo period. Japanese national teahouses first appeared in the Sengoku period. The Japanese pay special attention to this ceremony. This article talks about the unique architecture of Japanese national teahouses. ?ymatov ?nvarbek ?bdixoliqovich | Alijanova M. Sh "Brief Remarks on the Architecture of Japanese National Tea Houses" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd59688.pdf Paper URL: https://www.ijtsrd.com/engineering/civil-engineering/59688/brief-remarks-on-the-architecture-of-japanese-national-tea-houses/ymatov-nvarbek-bdixoliqovich
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| The Periphrasis and its Linguopoetic Features | | Author : Sadenova Gulbanu Perdebayevna | | Abstract | Full Text | Abstract :This article discusses about the periphrases, their types and functions. Periphrasis re names the subject or phenomenon according to its color, shape and form and is a type of trope, and in this way, the subject or event is not named directly, but only its main features or characteristic differences are indicated. Sadenova Gulbanu Perdebayevna "The Periphrasis and its Linguopoetic Features" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Science, Technology and Economy , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd59948.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/59948/the-periphrasis-and-its-linguopoetic-features/sadenova-gulbanu-perdebayevna
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| Effective Ways of Expanding Vocabulary | | Author : Komilova Gulnoz Uzoqovna | | Abstract | Full Text | Abstract :This article discusses the theoretical and practical importance of improving the lexical resources of future teachers. Also, at the time when attention to foreign language is more intensive in our country, it is very important to intensify the development of foreign language knowledge, skills, qualifications and competences of future teachers. Komilova Gulnoz Uzoqovna "Effective Ways of Expanding Vocabulary" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Multidisciplinary Approaches and Applications Studies in Research and Innovation , May 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79870.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79870/effective-ways-of-expanding-vocabulary/komilova-gulnoz-uzoqovna
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| Workers Welfare and Organizational Performance in Some Selected Institutions in Rivers State | | Author : Kabari, John Baribor | | Abstract | Full Text | Abstract :This study examines workers welfare and organizational performance. A study of some selected tertiary institutions in Rivers State. The researcher in the cause of the investigation reviewed several scholarly kinds of literature online materials, books, journals, etc. . Three objective questions and three hypotheses were used for the study. The study was carried out in three selected tertiary institutions in the state and a sample size of three hundred and seventy five 375 staff was selected from a population of six thousand two hundred and thirty three 6,233 staff that made up the study. The questionnaire was structured on a modified 4 point Likert scale of Strongly Agree SA 4 points, Agree A 3 points, Disagree D 2 points and Strongly Disagree SD 1 point. An inferential statistical tool was used for the analyses of the data. The percentage , mean X and standard deviation SD were used for analyses. The hypothesis was tested using chi square. The finding shows that workers welfare provided by institutions enables the workers or employees to take their duties and obligations very seriously. It recommends among others that the government, as well as administrators of the tertiary institutions, should endeavour to give commensurate welfare packages to staff as this will boost their morale to work and eliminate the monotony of service. Kabari, John Baribor "Workers Welfare and Organizational Performance in Some Selected Institutions in Rivers State" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Modern Trends in Scientific Research and Development, Case of Asia , October 2020, URL: https://www.ijtsrd.com/papers/ijtsrd37987.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/37987/workers-welfare-and-organizational-performance-in-some-selected-institutions-in-rivers-state/kabari-john-baribor
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| Theoretical Foundation of Language and Culture | | Author : Aisafar Murtazaeva Bazarkulovna | | Abstract | Full Text | Abstract :In this article, describe the theoretical foundation of language and culture and its main role in the life. The universal goal of teaching foreign languages is effectively master useful life information and new simple information about the language through the language studied. This can achieved by increasing the students general level, obtaining new knowledge about the language studied and the culture of its representatives, improving the culture of communication, using mental methods of work, and developing thinking skills. Aisafar Murtazaeva Bazarkulovna "Theoretical Foundation of Language and Culture" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Multidisciplinary Approaches and Applications Studies in Research and Innovation , May 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79871.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79871/theoretical-foundation-of-language-and-culture/aisafar-murtazaeva-bazarkulovna
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| Use of Interactive Methods in Teaching English | | Author : M. B. Ostonva | | Abstract | Full Text | Abstract :The article substantiates the importance of introducing interactive teaching methods into the educational process. The main focus is on teaching English to part time students. There is also emphasized, that it is not enough for a new generation teacher to be competent in his field of knowledge, it is necessary to use methodological innovations in the educational process, which today are associated with the use of interactive teaching methods. There are considered a number of interactive methods, the introduction of which will contribute to the achievement of the goal increasing the efficiency of the educational process, achieving high performance by all students. M. B. Ostonva "Use of Interactive Methods in Teaching English" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Multidisciplinary Approaches and Applications Studies in Research and Innovation , May 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79872.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79872/use-of-interactive-methods-in-teaching-english/m-b-ostonva
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| Audiovisual Translation and its Stylistic Features | | Author : Bozorova Vasila Ilhomovna | | Abstract | Full Text | Abstract :The article deals with the stylistic features of the audiovisual translation, its types and functions in translation. The article considers the emergence of an approach to audiovisual translation as a process of complex semantic synthesis especially in connection with three dimensional films and games corresponds exactly to the comprehensive discussion taking place in the film and television industry concerning the entire body of changes in the rules of filming, sound recording and script writing that will be required to form stereoscopic cinema as a type of mass media. Bozorova Vasila Ilhomovna "Audiovisual Translation and its Stylistic Features" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Multidisciplinary Approaches and Applications Studies in Research and Innovation , May 2025, URL: https://www.ijtsrd.com/papers/ijtsrd79875.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/79875/audiovisual-translation-and-its-stylistic-features/bozorova-vasila-ilhomovna
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| Inventory Management | | Author : Dr. C. Vindya Vasini | Dhanunjay Yadav A | | Abstract | Full Text | Abstract :This project analyzes the inventory management practices of Bharat Heavy Electricals Limited BHEL , a leading public sector engineering and manufacturing enterprise in India. Effective inventory management is crucial in large scale manufacturing organizations like BHEL to minimize holding costs, avoid stockouts, and ensure smooth production cycles. The study aims to evaluate how BHEL manages its inventory levels, procurement processes, and material planning to optimize operational efficiency and cost effectiveness. Using data from annual reports, supply chain records, and relevant financial documents, the project examines key aspects such as inventory turnover ratio, Economic Order Quantity EOQ , Just In Time JIT practices, and classification of inventory raw materials, work in progress, and finished goods . The analysis highlights BHEL’s challenges in managing large and diverse inventory due to its complex project based operations and long production cycles. However, it also identifies strategic initiatives taken by the company to improve material planning, implement automation, and reduce excess stock. The study concludes that while BHEL has a robust inventory management framework, there is potential for further optimization through modern technologies like ERP and data analytics. Dr. C. Vindya Vasini | Dhanunjay Yadav A "Inventory Management" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Multidisciplinary Approaches and Applications Studies in Research and Innovation , May 2025, URL: https://www.ijtsrd.com/papers/ijtsrd97245.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/97245/inventory-management/dr-c-vindya-vasini
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| Implementation of the CLIL Approach in Teaching Special Texts | | Author : Abulkasimova Yulduzkhon Sunnatillayevna | | Abstract | Full Text | Abstract :This article presented four aspects of CLIL implementation in educational institutions, which began with a discussion of the place of CLIL in bilingual education and its relationship with other approaches. After that, it ended with effective ways and practices of implementing this technology in teaching. The purpose of the study was to review the potential of the integrated CLIL approach from the position of its ability to influence the increase in the level of communicative competence of students. Abulkasimova Yulduzkhon Sunnatillayevna "Implementation of the CLIL Approach in Teaching Special Texts" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Multidisciplinary Approaches and Applications Studies in Research and Innovation , May 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81067.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81067/implementation-of-the-clil-approach-in-teaching-special-texts/abulkasimova-yulduzkhon-sunnatillayevna
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| Conceptual Metaphor and Metonymy in Onomastic Idioms | | Author : Muhitdinov Dilshod Tohirovich | | Abstract | Full Text | Abstract :This article studies the cognitive and linguistic mechanisms of ‘conceptual metaphor’ and ‘conceptual metonymy’ since they operate within onomastic idioms that incorporate proper names. Studying the theoretical framework of Lakoff and Johnson’s ‘Conceptual Metaphor Theory’, the paper highlights how proper names, often taken from literature, history, culture or geography, function as cognitive tools for categorization, evaluation, and cultural framing. Through detailed analysis, the paper shows how metaphor enables the mapping of abstract concepts e.g. greed, love, fear or intelligence onto well known figures such as “Scrooge,” “Einstein,” or “Romeo” , whilst metonymy allows names to stand in for related concepts within the same domain e.g., “Shakespeare” for his works or “Hollywood” for the film industry . Special attention is given to how these idioms reflect cultural knowledge and collective memory, as well as how metaphor and metonymy often interact within a single expression. The study highlights the role of onomastic idioms as a rich site for examining how language encodes meaning, identity, and cultural values through the cognitive reuse of names. Muhitdinov Dilshod Tohirovich "Conceptual Metaphor and Metonymy in Onomastic Idioms" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Multidisciplinary Approaches and Applications Studies in Research and Innovation , May 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81068.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81068/conceptual-metaphor-and-metonymy-in-onomastic-idioms/muhitdinov-dilshod-tohirovich
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| Developing of the Innovational Methods for Teaching German Languages | | Author : K. D. Davlatov | | Abstract | Full Text | Abstract :The following article expresses the views on the practical application of modern methods of teaching foreign languages. The author, based on his own experience, expressed his thoughts in the framework of teaching German to students of the philological direction. The article is written in German and is based on the tasks and assignments given in the “Reconceptualizing Language Teaching an In service Teacher Education Course in Uzbekistan”. K. D. Davlatov "Developing of the Innovational Methods for Teaching German Languages" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Multidisciplinary Approaches and Applications Studies in Research and Innovation , May 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81069.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81069/developing-of-the-innovational-methods-for-teaching-german-languages/k-d-davlatov
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| Independence of Indian Judiciary and Judicial Activism | | Author : Rani Mishra | | Abstract | Full Text | Abstract :The judiciary, one of the pillars of Indian democracy, plays a vital role in protecting the Constitution and monitoring civil liberties. This paper analyses the nature of independence of the Indian judiciary and its form of judicial activism. Rani Mishra "Independence of Indian Judiciary and Judicial Activism" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Multidisciplinary Approaches and Applications Studies in Research and Innovation , May 2025, URL: https://www.ijtsrd.com/papers/ijtsrd97094.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/political-science/97094/independence-of-indian-judiciary-and-judicial-activism/rani-mishra
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| Development of Communicative Competence in Russian Language Lessons as a Means of Forming Personal Results of Students | | Author : Baymukhamedova Lola Alievna | | Abstract | Full Text | Abstract :The article highlights the teaching of Russian in a modern educational institution is carried out in the context of significant changes in the entire education system. These changes are due to the need to bring the quality of the latter in line with the requirements of the modern society of universities. Baymukhamedova Lola Alievna "Development of Communicative Competence in Russian Language Lessons as a Means of Forming Personal Results of Students" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Multidisciplinary Approaches and Applications Studies in Research and Innovation , May 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81070.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81070/development-of-communicative-competence-in-russian-language-lessons-as-a-means-of-forming-personal-results-of-students/baymukhamedova-lola-alievna
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| Financial Performance Analysis | | Author : M. Vijaya Lakshmi | Veera Sekhar P | | Abstract | Full Text | Abstract :Financial Performance Analysis is a crucial process used to assess the overall financial health and operational efficiency of a business over a specific period. It involves the evaluation of financial statements such as the balance sheet, income statement, and cash flow statement to understand profitability, liquidity, solvency, and efficiency. This analysis helps stakeholders—including management, investors, and creditors—make informed decisions regarding investment, lending, and strategic planning.The study of financial performance includes tools such as ratio analysis, trend analysis, and comparative financial statements. It enables the identification of financial strengths and weaknesses and provides insights into the firm’s ability to generate earnings, manage expenses, and sustain growth. By focusing on key performance indicators KPIs , this analysis supports data driven strategies for financial planning and resource allocation. The research concludes that continuous monitoring and interpretation of financial performance are essential for ensuring long term business sustainability and competitiveness. M. Vijaya Lakshmi | Veera Sekhar P "Financial Performance Analysis" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Multidisciplinary Approaches and Applications Studies in Research and Innovation , May 2025, URL: https://www.ijtsrd.com/papers/ijtsrd97246.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/97246/financial-performance-analysis/m-vijaya-lakshmi
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| Podcast Technologies in Teaching English in ESP Education | | Author : Saidvalieva Dilafruz Ravshanovna | | Abstract | Full Text | Abstract :The article considers about the possibilities of using one of the innovative means of teaching English – podcasts. The aim of the study is to theoretically identify and experimentally test the didactic capabilities of podcasts in teaching English. Saidvalieva Dilafruz Ravshanovna "Podcast Technologies in Teaching English in ESP Education" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Multidisciplinary Approaches and Applications Studies in Research and Innovation , May 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81071.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81071/podcast-technologies-in-teaching-english-in-esp-education/saidvalieva-dilafruz-ravshanovna
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| Communicative Features of Cybersecurity Terminology | | Author : Abdirazzakova Sadokat Alimbayevna | | Abstract | Full Text | Abstract :In this article English terms of the sphere of computer security. The subject of the research is the study of all types of logical linguistic connections between terms, the disclosure of the core and periphery of the system, deep types of semantic relations, the degree of dynamism of the system. The material of the research was texts on computer security, from which a corpus of terms was compiled using the method of continuous sampling. Abdirazzakova Sadokat Alimbayevna "Communicative Features of Cybersecurity Terminology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Multidisciplinary Approaches and Applications Studies in Research and Innovation , May 2025, URL: https://www.ijtsrd.com/papers/ijtsrd88496.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/88496/communicative-features-of-cybersecurity-terminology/abdirazzakova-sadokat-alimbayevna
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| Immersive Technologies and Journalistic Content of Virtual Reality | | Author : Saidova Mukhayo Oktamovna | | Abstract | Full Text | Abstract :The author of this article examines the interpretation of theoretical approaches to immersive journalism by foreign media scientists. There are many ways to achieve an immersive effect. One of them is the use of technologies of the virtual world, that is, immersion in the environment of virtual life. Virtualization technologies have a history of several decades. The improvement of this technology will be reflected in the future as a universal media communication channel. This article examines the results of scientific studies that show that immersive journalism is an effective direction for the development of journalism in general. The author emphasizes the need to pay serious attention to the training of specialists on this platform. The article argues that studies show the consequences of virtual reality and its immersion in human consciousness, the positive results of which require the introduction of certain ethical standards in their application. Also, VR technology, as a fundamental medium of a new direction in journalism, is the main object of study from a theoretical, scientific, practical and psychological point of view, which must be analyzed in domestic scientific research. Saidova Mukhayo Oktamovna "Immersive Technologies and Journalistic Content of Virtual Reality" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Multidisciplinary Approaches and Applications Studies in Research and Innovation , May 2025, URL: https://www.ijtsrd.com/papers/ijtsrd81089.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/81089/immersive-technologies-and-journalistic-content-of-virtual-reality/saidova-mukhayo-oktamovna
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| Lexicology in the System of Language Sciences Subject and Tasks of Lexicology | | Author : Tursunhodjayev Jahongir Javdatovich | Dr. Muh Kholiq | | Abstract | Full Text | Abstract :The article considers about the basic properties of a word, which is a speech unit used for the purpose of communication between people, which has a material embodiment in the form of a group of sounds, has a meaning and is characterized by both formal and semantic unity. This paper explores the role of lexicology within the system of language sciences, focusing on its subject, key objectives, and interdisciplinary connections. Lexicology is the branch of linguistics that studies the vocabulary of a language, including the origin, structure, meaning, and usage of words. It examines how words are formed, how they function in communication, and how they change over time. The study of lexicology is essential for understanding the development of a language, enriching linguistic theory, and supporting practical fields such as language teaching, translation, and lexicography. Tursunhodjayev Jahongir Javdatovich | Dr. Muh Kholiq "Lexicology in the System of Language Sciences: Subject and Tasks of Lexicology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Multidisciplinary Approaches and Applications Studies in Research and Innovation , May 2025, URL: https://www.ijtsrd.com/papers/ijtsrd88497.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/88497/lexicology-in-the-system-of-language-sciences-subject-and-tasks-of-lexicology/tursunhodjayev-jahongir-javdatovich
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| Mutual Funds with Equity | | Author : M. Abdul Basid | Aparna Y | | Abstract | Full Text | Abstract :The concept of Mutual Funds with Equity revolves around pooling money from multiple investors and investing primarily in equity shares of publicly listed companies. These funds offer investors an opportunity to participate in the stock market without having to directly manage a portfolio. Equity mutual funds are known for their potential to deliver high returns over the long term, although they carry higher risk compared to debt or balanced funds.This study explores the performance, risk factors, and investment strategies of equity mutual funds, highlighting their role in wealth creation and portfolio diversification. It also delves into investor behavior, the impact of market volatility, and the regulatory framework governing these funds in India. By analyzing historical data and performance metrics, the study aims to provide insights into how equity mutual funds can be a suitable investment avenue for both retail and institutional investors seeking capital appreciation. M. Abdul Basid | Aparna Y "Mutual Funds with Equity" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Multidisciplinary Approaches and Applications Studies in Research and Innovation , May 2025, URL: https://www.ijtsrd.com/papers/ijtsrd97243.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/97243/mutual-funds-with-equity/m-abdul-basid
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| A Critical Study of the Changes Brought About by the Mahatma Gandhi National Rural Employment Guarantee Act MGNREGA Scheme on women | | Author : Poonam Priya | | Abstract | Full Text | Abstract :Mahatma Gandhi National Rural Employment Guarantee Act MGNREGA is a revolutionary scheme passed by the Government of India in the year 2005, the main objective of which is to provide assured employment of minimum 100 days in rural areas. Poonam Priya "A Critical Study of the Changes Brought About by the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA) Scheme on women" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Multidisciplinary Approaches and Applications Studies in Research and Innovation , May 2025, URL: https://www.ijtsrd.com/papers/ijtsrd97136.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/97136/a-critical-study-of-the-changes-brought-about-by-the-mahatma-gandhi-national-rural-employment-guarantee-act-mgnrega-scheme-on-women/poonam-priya
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| Liquidity and Profitability | | Author : M. Nagaraju | Salman Basha S | | Abstract | Full Text | Abstract :Liquidity and profitability are two essential pillars of financial performance that influence the sustainability and growth of any business. This study focuses on evaluating the relationship between liquidity and profitability with respect to Tata Steel Private Limited, one of Indias foremost integrated steel producers. The objective is to analyze how the company manages its short term obligations while simultaneously maintaining profitability. Key financial ratios such as the current ratio, quick ratio, net profit margin, return on assets ROA , and return on equity ROE are used to assess financial efficiency over a selected time period. The analysis is based on secondary data collected from the company’s financial statements, annual reports, and industry comparisons. The findings suggest that Tata Steel has maintained stable liquidity levels despite operating in a capital intensive and cyclical industry. However, fluctuations in profitability were observed due to market volatility and raw material cost changes. The study concludes that maintaining an optimal balance between liquidity and profitability is critical for the financial health of Tata Steel. Recommendations include improving working capital efficiency and cost control strategies to ensure consistent profitability without compromising liquidity. M. Nagaraju | Salman Basha S "Liquidity and Profitability" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Multidisciplinary Approaches and Applications Studies in Research and Innovation , May 2025, URL: https://www.ijtsrd.com/papers/ijtsrd97244.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/97244/liquidity-and-profitability/m-nagaraju
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| North Korea’s Nuclear Proliferation Implications for Global Security | | Author : Nzubee Dumale | Onyeukwu Uchechukwu | | Abstract | Full Text | Abstract :The proliferation of Weapons of Mass Destruction is a global security threat that affects every nation state in the international system. The ongoing proliferation of nuclear weapons by North Korea is worrisome, destabilizing and weakening the Nuclear Non Proliferation Treatys mechanisms to control the spread of weapons of mass destruction. The aim of the study is to analyze how North Koreas nuclear activities affect global stability. The study adopts realism as the theoretical framework. The fundamental tenet of realism is that nations are the main players in the international system and that their actions are motivated by the desire for security and power. This explains North Koreas nuclear program, highlighting how the regimes actions are motivated by a perceived need for security and strategic power in an anarchic international system. The historical research design is adopted, utilizing secondary sources of data, and the content analysis method is used for data analysis. Findings reveal that nuclear proliferation by North Korea is a threat to international security. It is responsible for regional security concerns in Northeast Asia as exemplified by the massive deployment of defense systems and arsenals by countries in the region. This is exacerbated by the strategic interests of major powers in the Korean Peninsula, with the United States committed to the defense of its allies and China and Russia desirous of curbing America’s influence in the area. The geopolitical maneuverings often complicate efforts to achieve a unified international approach to North Koreas nuclear challenge. The work recommends that the United Nations Security Council and the International Atomic Energy Agency, while maintaining strong defense posture to deter North Korea’s aggression, should also intensify diplomatic negotiations with her to douse tension. Also, there should be an inclusive regional framework for denuclearization, with reliable security guarantees and reciprocal concessions. Nzubee Dumale | Onyeukwu Uchechukwu "North Korea’s Nuclear Proliferation: Implications for Global Security" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Multidisciplinary Approaches and Applications Studies in Research and Innovation , May 2025, URL: https://www.ijtsrd.com/papers/ijtsrd97219.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/other/97219/north-korea’s-nuclear-proliferation-implications-for-global-security/nzubee-dumale
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| Working Capital Management with Respect to Southern Polymers | | Author : C Ravi Kumar | Thanuja S | | Abstract | Full Text | Abstract :Working capital management is a vital aspect of financial management that ensures a company can meet its short term obligations while maintaining operational efficiency. This study focuses on analyzing the working capital management practices of Southern Polymers, a company engaged in the production and distribution of polymer based products. The primary objective is to assess how effectively the company manages its current assets and liabilities, particularly inventory, accounts receivable, accounts payable, and cash balances. The research utilizes key financial indicators such as the current ratio, quick ratio, working capital turnover ratio, and the operating cycle to evaluate performance over a specified period. Findings indicate that while Southern Polymers maintains an adequate level of working capital, it faces challenges in managing inventory turnover and receivable collections. These inefficiencies can impact liquidity and profitability if not addressed through improved credit policies and inventory controls. The study concludes that adopting efficient working capital strategies can lead to better financial health, improved cash flow, and sustainable growth. Recommendations include enhanced cash flow forecasting, vendor negotiations, and real time inventory monitoring to optimize working capital usage. C Ravi Kumar | Thanuja S "Working Capital Management with Respect to Southern Polymers" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Multidisciplinary Approaches and Applications Studies in Research and Innovation , May 2025, URL: https://www.ijtsrd.com/papers/ijtsrd97242.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/97242/working-capital-management-with-respect-to-southern-polymers/c-ravi-kumar
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| Ratio Analysis | | Author : Dr. D. Anjaneyulu | Madhu Goud E | | Abstract | Full Text | Abstract :This project focuses on Ratio Analysis, a fundamental tool in financial statement analysis used to evaluate the financial performance and position of a business. The primary objective of this study is to interpret the financial health of a company through key ratios derived from its balance sheet and income statement. Ratio analysis helps in assessing liquidity, profitability, solvency, and efficiency, providing meaningful insights to stakeholders such as investors, creditors, and management.The study includes the calculation and interpretation of major financial ratios such as the current ratio, quick ratio, debt equity ratio, return on equity ROE , return on assets ROA , gross profit margin, net profit margin, and inventory turnover ratio. By applying these ratios to a selected company’s financial data over a period of three to five years, the analysis reveals trends in performance and identifies strengths and weaknesses in financial management.The results demonstrate how ratio analysis can support better decision making and strategic planning. The study concludes that while ratios are useful indicators, they should be interpreted in context and used alongside other analytical tools for a complete financial assessment. Dr. D. Anjaneyulu | Madhu Goud E "Ratio Analysis" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Multidisciplinary Approaches and Applications Studies in Research and Innovation , May 2025, URL: https://www.ijtsrd.com/papers/ijtsrd97247.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/97247/ratio-analysis/dr-d-anjaneyulu
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| Balance Sheet Analysis | | Author : Dr. P. Lokesh Muni Kumar | Naseema S | | Abstract | Full Text | Abstract :This project focuses on Balance Sheet Analysis, a fundamental aspect of financial analysis that helps stakeholders understand a company’s financial position at a given point in time. The primary objective is to evaluate the strength, stability, and structure of a company’s assets, liabilities, and equity through detailed examination of its balance sheet. The study involves analyzing key components such as current assets, fixed assets, current liabilities, long term liabilities, and shareholder’s equity.By using vertical and horizontal analysis techniques, this project identifies trends and structural changes over a five year period. Financial ratios such as the current ratio, debt equity ratio, and asset turnover ratio are also used to assess liquidity, solvency, and operational efficiency. Through a case study approach using data from a selected company, the analysis reveals patterns in capital allocation, funding sources, and financial risk.The study concludes that regular balance sheet analysis enables better decision making for investors, management, and creditors. It provides early warnings of financial distress and helps evaluate the company’s long term sustainability and investment potential. Dr. P. Lokesh Muni Kumar | Naseema S "Balance Sheet Analysis" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Multidisciplinary Approaches and Applications Studies in Research and Innovation , May 2025, URL: https://www.ijtsrd.com/papers/ijtsrd97249.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/97249/balance-sheet-analysis/dr-p-lokesh-muni-kumar
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| Employee Safety and Health Measure | | Author : A V Viswanath | Haritha M | | Abstract | Full Text | Abstract :Employee safety and health are critical components in the operational framework of any industrial organization, particularly in high risk sectors such as cement manufacturing. This study focuses on evaluating the safety and health measures implemented at Bharathi Cement Corporation Pvt. Ltd., a prominent player in the Indian cement industry. The objective is to analyze the existing policies, practices, and infrastructure related to occupational safety and health OSH and assess their effectiveness in ensuring a secure work environment. The research involves data collection through employee surveys, interviews with safety officers, and review of company records and incident reports. Findings indicate that while Bharathi Cement has adopted several proactive measures, including safety training programs, personal protective equipment PPE compliance, and routine health check ups, there are areas for improvement, particularly in continuous monitoring, mental health support, and employee participation in safety planning. This study highlights the importance of a comprehensive safety culture, not only to reduce workplace accidents but also to enhance employee morale and productivity. Recommendations are provided to strengthen the existing safety framework in alignment with international standards and best practices. The study contributes to understanding how focused health and safety initiatives can lead to sustainable industrial growth and workforce well being. A V Viswanath | Haritha M "Employee Safety and Health Measure" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Multidisciplinary Approaches and Applications Studies in Research and Innovation , May 2025, URL: https://www.ijtsrd.com/papers/ijtsrd97248.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/97248/employee-safety-and-health-measure/a-v-viswanath
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| Employee Training and Development | | Author : N Vasudha | Sandhya Rani C | | Abstract | Full Text | Abstract :Employee Training and Development is a strategic human resource management practice aimed at enhancing the skills, knowledge, and competencies of employees to improve organizational effectiveness. In today’s competitive and rapidly changing business environment, continuous learning and professional development are essential for maintaining workforce efficiency, motivation, and adaptability. This study examines the role of structured training programs and development initiatives in improving employee performance, job satisfaction, and retention.The research highlights various methods of training such as on the job training, workshops, e learning, and mentorship, and evaluates their impact on individual and organizational growth. It also explores the challenges organizations face in implementing effective training strategies and the importance of aligning training goals with overall business objectives. The study concludes that well planned training and development programs contribute significantly to employee empowerment, innovation, and long term business success. N Vasudha | Sandhya Rani C "Employee Training and Development" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Multidisciplinary Approaches and Applications Studies in Research and Innovation , May 2025, URL: https://www.ijtsrd.com/papers/ijtsrd97250.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/97250/employee-training-and-development/n-vasudha
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| Effective Characteristics of Distance and Blended Education | | Author : Tadjibayeva Mahmuda Riksibaevna | Tolkinova Maftunakhan Dilshodjon | | Abstract | Full Text | Abstract :The article deals with the peculiarities of distance and blended education. Some types of distance learning technologies are observed here. Advantages and disadvantages of distance learning and blended education are discussed. Tadjibayeva Mahmuda Riksibaevna | Tolkinova Maftunakhan Dilshodjon "Effective Characteristics of Distance and Blended Education" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | on Interdisciplinary Horizons in Multidisciplinary Studies Research and Analysis , January 2024, URL: https://www.ijtsrd.com/papers/ijtsrd61357.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/61357/effective-characteristics-of-distance-and-blended-education/tadjibayeva-mahmuda-riksibaevna
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| Functional Semantic Peculiarities of Translating Cybersecurity Terminology | | Author : Yuldoshev Ulugbek Ravshanbekovich | | Abstract | Full Text | Abstract :In the modern process of globalization, new inventions and innovative projects in science and technology are being created in the field of information technology, and the issues of their naming and translation into different languages give rise to unique approaches in linguistics and translation studies. Most of these innovations and discoveries belong to the field of information and communication technologies, and the innovations achieved in this field penetrate all aspects of social life in the global community. At the same time, the names of such inventions and discoveries are rapidly penetrating any part of the world and entering linguistics as international terms or being assimilated into the languages of the peoples using these inventions, enriching the vocabulary of that language.Information and communication technologies are developing rapidly in the world. The use of computer technology, mobile and Internet technologies in various spheres of human activity is expanding, the flow of documents on paper and electronic media is increasing, new technical means smartphones, communicators, netbooks, etc. and types of communication portals, blogs, chat rooms designed to facilitate and speed up the process of communication are appearing. Each new modification of information technologies affects the process of updating the entire terminological system of information technologies, creating and changing new terminological units. As a result of the processes of interlingual and intercultural interaction, lexical units from different world languages directly and indirectly penetrate into the Uzbek language. The largest percentage of them are scientific and technical terms of the English language, in particular terms from the field of information technologies. In recent years, due to the development of information technology, new fields of knowledge such as information security and cybersecurity have emerged and are developing. Although cybersecurity terminology is a part of information technology, translating the terminology of this field into a foreign language involves a number of difficulties. This article is devoted to the issues of translating English cybersecurity terms into Uzbek and preserving their functional and semantic properties during translation. Yuldoshev Ulugbek Ravshanbekovich "Functional-Semantic Peculiarities of Translating Cybersecurity Terminology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Multidisciplinary Approaches and Applications Studies in Research and Innovation , May 2025, URL: https://www.ijtsrd.com/papers/ijtsrd97514.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/97514/functionalsemantic-peculiarities-of-translating-cybersecurity-terminology/yuldoshev-ulugbek-ravshanbekovich
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| AI Driven Profiling Through Digital Footprints Privacy Implications and Countermeasures | | Author : Vaidehi Damedhar | Vaishnavi Borkar | | Abstract | Full Text | Abstract :People create digital footprints on the internet through their daily activities because modern digital technologies and social media networks and online platforms continue to develop at a rapid pace. The system collects extensive personal information through each online interaction which includes browsing history and social media posts and online purchases and geographic tracking and search engine results. Through AI driven profiling tools, artificial intelligence AI has greatly improved the capacity to gather, examine, and understand this data. These profiling systems evaluate preferences, forecast actions, find trends, and automatically make judgments about people using machine learning algorithms. With an emphasis on how digital footprints are gathered, analysed, and converted into behavioural predictions, this study investigates the mechanics behind AI driven profiling. The study investigates the privacy effects of large scale data analytics by studying three specific violations which include unlawful data sharing and insufficient data protection and wrong data profiling and missing data transparency. The research shows actual risks which include social manipulation and damage to reputation and loss of personal control. Digital footprint based AI profiling offers benefits for digital services and decision making processes but organizations must balance these advantages against their requirements for strong privacy protections and ethical accountability and regulatory compliance. A secure digital environment which protects personal privacy rights and enables organizations to benefit from AI technological progress needs to be created through transparent digital systems. The research investigates AI based profiling systems through their technical elements while showing how ongoing data collection affects social and psychological aspects of society. People who face constant algorithmic evaluation will develop online identities that emerge from system predictions instead of their own choices. The digital world which exists beyond physical boundaries needs to be explored because it creates new challenges for users to manage their data while showing their real online behaviour. Digital environments need to establish responsible policies which help users understand their data. The research investigates how AI based profiling affects various industries which include marketing and finance and healthcare and governance. Predictive analytics systems enable organizations to work more efficiently which leads to better service delivery but they create information asymmetry because organizations possess greater control over data than individual users. The existing situation creates a power imbalance which decreases informed consent while making it more difficult to understand operations. The evaluation process should investigate both the advantages which profiling systems provide and their dangers which affect society. The research establishes a necessity for developing a regulatory system which combines technological progress with fundamental ethical protections. Digital literacy initiatives need to grow along with user education programs which should also include development of systems that explain their artificial intelligence operations. Organizations should use AI based profiling systems while they establish specific operational limits which protect user privacy and maintain fairness and human dignity. Vaidehi Damedhar | Vaishnavi Borkar "AI-Driven Profiling Through Digital Footprints: Privacy Implications and Countermeasures" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101272.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101272/aidriven-profiling-through-digital-footprints-privacy-implications-and-countermeasures/vaidehi-damedhar
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| The Issues of Developing Students’ Linguistic Competence in Learning Arabic in Scholarly and Methodological Literature | | Author : Kadirova Kamala Salikhovna | | Abstract | Full Text | Abstract :This article examines the major issues in developing students’ linguistic competence in Arabic as reflected in scholarly and methodological literature. Linguistic competence, encompassing phonological, morphological, syntactic, and pragmatic skills, is particularly challenging in Arabic due to its diglossia, complex root and pattern morphology, and script system. Through qualitative analysis of recent literature, the study identifies key obstacles difficulties in mastering phonology, script, and dialect variation, as well as the integration of cultural aspects. The discussion highlights effective strategies recommended in the literature, including communicative and competency based approaches, balanced treatment of Modern Standard Arabic and dialects, and the integration of digital tools and cultural content. The findings underline the importance of interdisciplinary perspectives and the need for teacher training to ensure successful linguistic competence development in Arabic language education. Kadirova Kamala Salikhovna "The Issues of Developing Students’ Linguistic Competence in Learning Arabic in Scholarly and Methodological Literature" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Multidisciplinary Approaches and Applications Studies in Research and Innovation , May 2025, URL: https://www.ijtsrd.com/papers/ijtsrd97515.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/97515/the-issues-of-developing-students’-linguistic-competence-in-learning-arabic-in-scholarly-and-methodological-literature/kadirova-kamala-salikhovna
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| Term as a Linguistic Unit | | Author : A. R. Galiakberova | | Abstract | Full Text | Abstract :The purpose of the study is to identify the distinctive properties of terms in fixed language structures, as well as within the framework of term field theory. The subject of the study is the term as a linguistic unit in its various aspects. At the end of the article, the thesis is made that a term is a special linguistic unit, which consists in a systemic relationship with other linguistic units of the corresponding special language of similar status, used to accurately name and express a special object, concept, phenomenon or type of activity. In addition, the terminological field is the linguistic environment of the existence of the term. In it, it realizes all its characteristics and carries out its main function of naming a special concept. A. R. Galiakberova "Term as a Linguistic Unit" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | on Interdisciplinary Horizons in Multidisciplinary Studies Research and Analysis , January 2024, URL: https://www.ijtsrd.com/papers/ijtsrd62371.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/62371/term-as-a-linguistic-unit/a-r-galiakberova
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| Prospects of Using Advanced Pedagogical Technologies | | Author : Boboev Abror Khotamovich | Ikromova Kamola Askarovna | | Abstract | Full Text | Abstract :The article deals with the prospects of using advanced pedagogical technologies. The emergence of educational standards made the current situation somewhat difficult, because the technologies that guarantee the unconditional fulfillment of the standard and introduced into pedagogical practice have not been developed. New pedagogical tools are needed instead of existing traditional methods in educational institutions in order for every student to reach the level of educational standard. Boboev Abror Khotamovich | Ikromova Kamola Askarovna "Prospects of Using Advanced Pedagogical Technologies" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | on Interdisciplinary Horizons in Multidisciplinary Studies Research and Analysis , January 2024, URL: https://www.ijtsrd.com/papers/ijtsrd61358.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/61358/prospects-of-using-advanced-pedagogical-technologies/boboev-abror-khotamovich
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| Term and Word Specificity, Generality | | Author : Galiakberova A | Mirzayev A. | | Abstract | Full Text | Abstract :The article deals with the term and word and their specificity and generality. In this work, we consider various conceptual characteristics of the term as a linguistic concept within the framework of the current state of linguistics. The author also covers some issues of the process of formation of terminology in domestic and foreign linguistics. Galiakberova A | Mirzayev A. "Term and Word: Specificity, Generality" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | on Interdisciplinary Horizons in Multidisciplinary Studies Research and Analysis , January 2024, URL: https://www.ijtsrd.com/papers/ijtsrd62372.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/62372/term-and-word-specificity-generality/galiakberova-a
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| Important Aspects of Using Modern Technologies in Teaching Professional Psychology | | Author : Akhmedova Aziza Akmalovna | Gafurova Malika Polats kizi | | Abstract | Full Text | Abstract :The article considers about modern technology as a set of tools, methods, processes and knowledge used to create, develop and improve products, services and systems. They cover areas such as information technology, biotechnology, energy, medicine, transport, manufacturing, education and much more. Important aspects of using modern technologies in teaching professional psychology are also discussed here. Akhmedova Aziza Akmalovna | Gafurova Malika Polats kizi "Important Aspects of Using Modern Technologies in Teaching Professional Psychology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | on Interdisciplinary Horizons in Multidisciplinary Studies Research and Analysis , January 2024, URL: https://www.ijtsrd.com/papers/ijtsrd61359.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/education/61359/important-aspects-of-using-modern-technologies-in-teaching-professional-psychology/akhmedova-aziza-akmalovna
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| Blockchains Role in Supply Chains Quantum Computings Impact on Security | | Author : Om Hatwar | Sanskruti Chikhale | | Abstract | Full Text | Abstract :Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101390.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101390/blockchains-role-in-supply-chains-quantum-computings-impact-on-security/om-hatwar
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| Smart City Infrastructure | | Author : Vaishnavi Karpe | Shravani Bacchuwar | | Abstract | Full Text | Abstract :Urbanization has become one of the most significant global transformations of the modern era, fundamentally reshaping economic systems, environmental conditions, and social structures. As populations increasingly migrate toward cities in search of employment, education, and improved living standards, urban areas face immense pressure on infrastructure systems. Transportation congestion, air pollution, energy shortages, water scarcity, and inefficient waste management are among the most pressing challenges confronting city administrators. Traditional infrastructure models, which were designed decades ago for smaller populations, are often unable to cope with the growing demands of rapidly expanding urban environments. Consequently, there is an urgent need for innovative, sustainable, and technology driven approaches to urban development. The smart city concept has emerged as a comprehensive solution to these urban challenges. A smart city integrates advanced Information and Communication Technologies ICT , Internet of Things IoT , artificial intelligence AI , cloud computing, and big data analytics into physical infrastructure systems to enhance operational efficiency and service delivery. According to Hollands 2008 1 , the smart city represents a transformation in urban governance through the use of digital technologies that support intelligent decision making and improved transparency. Caragliu, Del Bo, and Nijkamp 2011 2 further emphasized that smart cities invest not only in digital infrastructure but also in human capital and social innovation. Education, entrepreneurship, and citizen engagement are essential for creating a knowledge based urban economy. Without social participation and institutional support, technological investments alone cannot achieve sustainable urban transformation. Smart infrastructure plays a central role in this transformation by enabling interconnected systems that operate through real time data exchange. Intelligent transportation systems reduce congestion by optimizing traffic signals and providing real time route guidance. Smart energy grids balance supply and demand efficiently while integrating renewable energy sources. IoT enabled water management systems detect leakages and ensure sustainable distribution of water resources. Environmental sustainability is another core objective of smart cities. Through energy efficient buildings, smart waste collection systems, pollution monitoring sensors, and renewable energy adoption, cities can significantly reduce their carbon footprint. Digital platforms also promote paperless governance and efficient resource management, contributing to ecological conservation. In addition to environmental benefits, smart cities enhance economic growth and competitiveness. By attracting technology companies, startups, and innovation hubs, smart cities create employment opportunities and stimulate local economies. Digital infrastructure improves productivity and supports business development through seamless connectivity and data driven solutions. Citizen participation is equally important in smart city development. Digital governance platforms allow residents to access public services, provide feedback, and engage in decision making processes. This participatory approach strengthens transparency, accountability, and trust between governments and citizens. This research paper explores the theoretical foundations, technological components, implementation strategies, and long term impacts of smart infrastructure systems. Through detailed literature analysis, the study concludes that smart cities provide a sustainable and resilient framework for addressing contemporary urban challenges and building future ready urban environments. Vaishnavi Karpe | Shravani Bacchuwar "Smart City Infrastructure" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101452.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101452/smart-city-infrastructure/vaishnavi-karpe
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| E Learning Website | | Author : Achal Roge | Rohan Dehariya | | Abstract | Full Text | Abstract :E Learning has emerged as a transformative and technology driven educational paradigm that integrates digital platforms, internet connectivity, cloud computing, multimedia systems, and intelligent data analytics to redefine traditional teaching and learning methodologies. The conceptual foundation of technology mediated education was first articulated by Alavi and Leidner 2001 1 , who emphasized that digital environments enhance collaboration, information exchange, and knowledge construction by overcoming geographical and temporal limitations. Expanding upon this theoretical base, Rosenberg 2001 2 described e learning as the strategic application of internet technologies to deliver instruction and improve individual and organizational performance through scalable and flexible digital systems. These early scholarly contributions laid the groundwork for understanding how online education could evolve into a globally impactful learning model. Over the past two decades, rapid advancements in Information and Communication Technology ICT , broadband internet infrastructure, mobile computing devices, and cloud based services have accelerated the adoption of E Learning across educational institutions, corporate training sectors, and independent learning communities. Digital platforms now enable learners to access high quality educational resources anytime and anywhere, effectively removing constraints imposed by physical classrooms. Empirical research strongly validates the effectiveness of online learning environments. A comprehensive meta analysis conducted by Means et al. 2010 3 concluded that students participating in online or blended learning settings frequently demonstrate academic performance equal to or greater than those in traditional face to face instruction, particularly when courses are supported by structured instructional design and active learner engagement. A critical factor contributing to the success of E Learning systems is multimedia integration. According to Clark and Mayer 2016 4 , instructional materials that combine text, audio, visuals, and interactive elements enhance cognitive processing and reduce overload, thereby improving retention and conceptual understanding. Multimedia based learning environments incorporate simulations, gamified assessments, recorded lectures, and interactive modules that cater to diverse learning styles. This adaptability enhances learner motivation and promotes self directed study habits. Additionally, cloud infrastructure ensures scalability, reliability, and remote accessibility, allowing institutions to support large numbers of learners simultaneously without compromising performance. The integration of Artificial Intelligence AI and learning analytics represents a significant advancement in modern E Learning systems. Research by Holmes, Bialik, and Fadel 2019 5 demonstrates that AI powered platforms analyze learner behavior, performance metrics, and engagement patterns to generate personalized learning pathways. Adaptive algorithms provide customized content recommendations, real time feedback, and predictive analytics to identify learners at risk of underperformance. These innovations enhance academic outcomes while promoting efficiency and targeted intervention strategies. Furthermore, AI driven chatbots, automated grading systems, and intelligent tutoring systems streamline administrative processes and improve user experience within digital platforms. Despite its numerous advantages, the implementation of E Learning is accompanied by socio economic and infrastructural challenges. Reports from UNESCO 2020 6 highlight that disparities in internet access, device availability, and digital literacy create barriers to equitable participation in online education. The digital divide remains a critical issue, particularly in developing regions where technological resources are limited. Addressing these challenges requires policy reform, investment in broadband infrastructure, and comprehensive digital literacy programs to ensure inclusive and sustainable digital education ecosystems. Achal Roge | Rohan Dehariya "E - Learning Website" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101454.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101454/e--learning-website/achal-roge
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| Lexico Semantic Transformations in the Translation of Ecological Terms | | Author : Nigmatullina Almira Shamsunovna | | Abstract | Full Text | Abstract :The article considers about lexical semantic transformations as a means of achieving translation adequacy based on the material of the English and Uzbek languages. The purpose of the work is to study the patterns of formation and evolution of environmental terminology, its formation as a term system, description of the metalinguistic, lexical semantic, structural and word formation features of terms in the environmental sphere. Nigmatullina Almira Shamsunovna "Lexico-Semantic Transformations in the Translation of Ecological Terms" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | on Interdisciplinary Horizons in Multidisciplinary Studies Research and Analysis , January 2024, URL: https://www.ijtsrd.com/papers/ijtsrd62373.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/62373/lexicosemantic-transformations-in-the-translation-of-ecological-terms/nigmatullina-almira-shamsunovna
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| Introduction to Quantum Computing and its Future Impact on Modern Cryptography | | Author : Prajwal Lede | Samir Shende | | Abstract | Full Text | Abstract :Tomato leaf diseases can quietly wreak havoc on crops, and by the time a farmer notices, it is often too late. That is why early and accurate detection matters so much. In this project, we have built an AI powered system that not only identifies diseases but also provides actionable guidance. We combine a ResNet50V2 based CNN to analyze leaf images with the Mistral 7B Large Language Model LLM , which turns the diagnosis into practical, actionable solutions. The CNN learns through advanced techniques like transfer learning and data augmentation, while the LLM, using Retrieval Augmented Generation RAG with FAISS, retrieves knowledge from agricultural resources to suggest treatments. Farmers interact with the system through a simple Streamlit interface, uploading leaf photos and receiving instant classification and step by step advice from an embedded chatbot. Tested on multiple tomato diseases, the system is highly accurate, user friendly, and designed to help farmers protect their crops and make smarter, more sustainable choices. Prajwal Lede | Samir Shende "Introduction to Quantum Computing and its Future Impact on Modern Cryptography" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101306.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101306/introduction-to-quantum-computing-and-its-future-impact-on-modern-cryptography/prajwal-lede
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| The Role of Linguistic Culture in Contemporary Linguistics | | Author : Turayeva Muborak Abduhamidovna | | Abstract | Full Text | Abstract :The article deals with the role of linguistic culture in contemporary linguistics. The author substantiates the decisive role of linguoculturology at the present stage of development of the science of language. It is noted that in linguistics the search for space for studying language in the light of holistic knowledge about man continues. If, with a structuralist and strictly linguistic approach, language is considered “in itself and for itself” as an autonomous semiotic formation and extra linguistic aspects, as a rule, are taken beyond the boundaries of linguistics and translated into the spheres of other humanitarian disciplines, then in anthropologically oriented linguistics language is understood as a constitutive property of a person in his life and spiritual life. Turayeva Muborak Abduhamidovna "The Role of Linguistic Culture in Contemporary Linguistics" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | on Interdisciplinary Horizons in Multidisciplinary Studies Research and Analysis , January 2024, URL: https://www.ijtsrd.com/papers/ijtsrd62374.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/62374/the-role-of-linguistic-culture-in-contemporary-linguistics/turayeva-muborak-abduhamidovna
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| Phishing Attacks and Prevention Techniques | | Author : Krunal Belpande | Aniket Pote | | Abstract | Full Text | Abstract :These messages usually create a false sense of importance. People are tricked into giving passwords or money because they believe the sender knows what they’re talking about. Fake websites also copy popular services to make users think they’re on familiar ground. Sometimes voices on phones act like tech support just to get passwords spoken aloud. The goal is always to steal private details through clever deception. Phishing shows up in many ways email scams, precise attacks, big fish tricks, text messages, voice calls each hitting differently depending on who gets chased and how it arrives. Getting smarter, these scams keep pushing limits, putting people, companies, and officials at real danger across the planet. One way to fight phishing is through hands on awareness programs. These sessions help people recognize risky messages. Another layer comes from requiring extra identification steps when logging in online. Strong passwords matter too using confusing strings makes cracking easier. Staying current with the latest system fixes also blocks gaps left by older versions. Tools that scan incoming emails can flag suspicious subject lines or links. When questions arise, checking whether claims match known company practices add clarity. Krunal Belpande | Aniket Pote "Phishing Attacks and Prevention Techniques" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101305.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101305/phishing-attacks-and-prevention-techniques/krunal-belpande
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| Blockchain in Digital Payments and Cryptocurrency | | Author : Samir Bopche | Tushar Devikar | | Abstract | Full Text | Abstract :The Blockchain technology is really changing things in the sector. It is making a difference in digital payment systems and cryptocurrency ecosystems. The Blockchain technology is like a book that keeps track of everything. This book is not controlled by one person or one company. The Blockchain technology is a book that lots of people share. The Blockchain technology helps people record transactions in a safe way. The Blockchain technology is good because it is shared by lots of people. The Blockchain technology is a part of this change. When we talk about payments the Blockchain technology is really great. It makes things a lot faster and cheaper for people who use it. The Blockchain technology does this by taking out the men like banks and payment processors. The Blockchain technology uses hashing and consensus mechanisms to keep transactions safe. This means that it is almost impossible to change or fake transaction records. The Blockchain technology is very good at keeping transaction records sound. 1 The Blockchain technology has a security system that makes it perfect, for money transactions. The Blockchain technology is what makes it safe for people to send and receive money. These days Blockchain is really helpful because there are cyber threats and people are losing their data. The Blockchain is a way to keep transactions with the Blockchain safe. People can use the Blockchain to protect their transactions, on the Blockchain. So people can use cryptocurrencies to send money to countries really quickly. The good thing, about cryptocurrencies is that it does not cost much as it would if you were using a traditional bank to send money. Companies like Visa and Mastercard are using blockchain networks to make payments faster and cheaper. This is a deal. Visa and Mastercard are using blockchain networks for this. 7 They are also doing something with stablecoin transactions. So blockchain networks are getting used more and more. This means blockchain networks are becoming really popular in the world. People are starting to use blockchain networks, like Visa and Mastercard. Blockchain companies like Ripple are doing something cool. Ripple is actually helping people make cheap international payments. They are using a kind of technology called distributed ledger technology to do this. Blockchain has some things about it but it also has some issues. For example people are not really sure what the rules are for blockchain and it can be slow. The thing with blockchain is that it uses a lot of energy. We can make transactions around the world now. This is because of Blockchain. Blockchain is helping people everywhere get access to systems. It does not matter who they are or where they live. Blockchain is really good for things like payments and cryptocurrency. Blockchain is making a difference, in the world. Blockchain is helping people in ways. 11 Samir Bopche | Tushar Devikar "Blockchain in Digital Payments and Cryptocurrency" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101273.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101273/blockchain-in-digital-payments-and-cryptocurrency/samir-bopche
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| Investigating the Potential of Smart Contracts in Automating Insurance Claims | | Author : Sagar Girhepunje | Shravani Ekre | | Abstract | Full Text | Abstract :The insurance industry helps manage risks through its provision of financial security against unpredictable events. The standard methods used to process claims require extensive manual checks and document handling and authorization from multiple parties. Organizations experience operational challenges through their use of traditional systems which result in slower processes and higher expenses and reduced system visibility and greater chances of fraudulent activities. The financial services industry needs automated security solutions for claim management systems because digital transformation continues to change its landscape. Blockchain technology has emerged as a promising solution to address these inefficiencies. Its decentralized and immutable ledger structure ensures transparency, traceability, and data integrity. Smart contracts represent a major innovation that functions as self executing digital agreements within blockchain ecosystems which automatically execute predefined conditions. Smart contracts use insurance policy terms embedded in programmable code to achieve automated verification and execution without requiring human oversight. The research assesses how smart contracts can automate the process of settling insurance claims. The researchers demonstrate how to implement policy rules through blockchain systems which verify claims and initiate payouts upon meeting defined conditions. The system verifies claims through its ability to access trustworthy external data sources which include digital reports and IoT inputs via oracle mechanisms. The automated system reduces administrative costs while decreasing processing time and preventing fraudulent activities. The research investigates implementation problems which include verifying data accuracy and ensuring oracle protection and establishing legal validity and enabling communication with older systems and meeting regulatory requirements. The combination of automation and complicated claims requires organizations to use hybrid systems which combine automated processes with manual control. The insurance industry needs to solve these technical and legal problems before it can start using this technology on a large scale. Furthermore, the decentralized nature of blockchain ensures that all transactions and claim records are securely stored and cannot be altered once recorded. This immutability increases reliability and provides a verifiable history of policy agreements and claim activities. As a result, both insurers and policyholders benefit from improved accountability and secure data management. The implementation of smart contracts also enhances operational efficiency by automatically executing claim settlements once predefined conditions are satisfied. This reduces administrative costs and processing delays that are common in traditional insurance systems. Additionally, the use of cryptographic security mechanisms protects sensitive user information while maintaining transparency in the claim verification process. Sagar Girhepunje | Shravani Ekre "Investigating the Potential of Smart Contracts in Automating Insurance Claims" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101275.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101275/investigating-the-potential-of-smart-contracts-in-automating-insurance-claims/sagar-girhepunje
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| Lightweight Deep Learning Models for Edge Devices | | Author : Pranoti Tulaskar | Prachi Badki | | Abstract | Full Text | Abstract :Edge devices need intelligent data processing which requires both quick response times and reduced energy usage for smartphones and IoT sensors and wearable systems and drones and embedded boards. Deep learning models deliver accurate results, yet they require extensive computational power and memory resources, which makes them impractical for use on edge devices with limited computing capabilities. The research paper investigates lightweight deep learning frameworks which researchers designed to function effectively in edge computing environments. The research examines model compression methods together with pruning, quantization, knowledge distillation, and the analysis of MobileNet and SqueezeNet and ShuffleNet and TinyML based networks. The experimental results show that lightweight models can achieve competitive accuracy while using less memory and running time and processing power. The results show that optimized architectures enable real time AI applications on edge platforms while extending battery life and achieving reasonable prediction performance. The research develops AI solutions which are efficient and scalable and can be deployed in intelligent environments. The current demand for intelligent data processing at the device level has increased because of the expanding use of edge devices which include smartphones and IoT sensors and wearable systems and drones and embedded boards. Edge environments need their systems to make decisions instantly while maintaining low response times and protecting user data and using less energy for operations. The conventional deep learning models achieve high accuracy and strong performance but their massive computational needs and their requirement for extensive memory and their substantial energy demands create difficulties for using them on edge hardware with limited resources. Researchers established a relationship between computational efficiency and real world edge applications which requires both components to be balanced. The research shows that baseline and optimized architectures can achieve model size reductions and floating point operation decreases while maintaining high accuracy levels. The optimization framework develops through which faster inference occurs because models need less memory space and their energy consumption becomes lower thus making them suitable for use on devices with limited resources. The research shows that MobileNet, SqueezeNet and ShuffleNet architectures have become more essential because of their efficient design requirements. The combination of these networks with pruning quantization and knowledge distillation techniques creates a robust system which enables intelligent processing to occur on edge hardware. The experimental results demonstrate that lightweight models enable real time analytics across multiple applications including smart surveillance and wearable health monitoring and autonomous navigation and industrial automation. Pranoti Tulaskar | Prachi Badki "Lightweight Deep Learning Models for Edge Devices" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101276.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101276/lightweight-deep-learning-models-for-edge-devices/pranoti-tulaskar
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| Disease Detection Using Image Bracket | | Author : Vansh Wankhede | Rohit Bante | | Abstract | Full Text | Abstract :Lemon leaves are largely susceptible to citrus specific conditions that beget significant impact on yield and fruit quality. Traditional opinion involves homemade examination, which is labour ferocious, prone to crimes, and also not scalable to large citrus orchards. In order to remove these limitations, this work proposes a light weight Convolutional Neural Network CNN model specific to accurate bracket of lemon splint conditions from image inputs. The model as it was proposed was trained on a general dataset of over 18,000 labeled images representing eight classes, including healthy leaves and seven classes of conditions like Citrus Canker, Black Spot, Greening, Scab, Melanosed, Anthracnose, and Powdery Mildew. Through expansive preprocessing and data addition ways, the model achieved enhanced conception under image conditions of different types. Performance measures similar as delicacy 98.2 , perfection 98.4 , recall 98.1 , and F1 score 98.3 show the strength and effectiveness of the model. Compared to state of the art models VGG16, Mobile Net, and InceptionV3, the proposed armature performed more in delicacy and effectiveness. Because of its light weighted nature, it can be suited for real time deployment on edge bias with a cost effective, scalable, and accurate early complaint discovery system for citrus husbandry. Short term advancements are putting the model in phones and reasoning in order to be suitable to handle multiple citrus species. The agricultural sector is increasingly adopting artificial intelligence and deep learning techniques to improve crop monitoring and disease management. Early and accurate identification of plant diseases plays a crucial role in preventing large scale crop losses and ensuring better agricultural productivity. In citrus cultivation, diseases affecting lemon leaves often spread rapidly if not detected in their early stages, making automated detection systems highly valuable for farmers and agricultural experts. This study focuses on developing an intelligent image based disease detection system that can automatically classify lemon leaf diseases using deep learning techniques. The proposed system utilizes a Convolutional Neural Network CNN architecture capable of extracting important visual features such as color variations, texture patterns, and lesion structures directly from leaf images. By eliminating the need for manual feature extraction, the model improves both accuracy and efficiency in disease classification. To enhance the robustness of the model, various preprocessing techniques such as image resizing, normalization, and data augmentation methods including rotation, flipping, and scaling were applied. These techniques helped the model generalize better to different lighting conditions, backgrounds, and leaf orientations that may occur in real world scenarios. The experimental evaluation demonstrates that the proposed model not only provides high classification accuracy but also maintains computational efficiency suitable for deployment on low resource devices. This makes the system practical for real time field applications where farmers can capture leaf images using smartphones or portable cameras and obtain instant disease predictions. Vansh Wankhede | Rohit Bante "Disease Detection Using Image Bracket" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101281.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101281/disease-detection-using-image-bracket/vansh-wankhede
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| Revolutionizing the Sports Industry Using Artificial Intelligence | | Author : Nidhi Pimpalkar | Divya Patle | | Abstract | Full Text | Abstract :This study is about how Artificial Intelligence AI s changing the sports world. AI is now a part of modern sports. It is used for analysing player performance preventing injuries, planning strategies and communicating with fans. AI tools and analytics are giving coaches, athletes and teams data to make better decisions improve training and boost overall performance. AI is also changing the way marketing is done how talent is. How referees are assisted. While AI has benefits it is also important to keep things human and fair. To understand where AI is, in sports today and where it might be headed this study looks at what has been written about it far. Our goal is to examine how AI is affecting parts of the sports industry. Artificial intelligence is changing the world of sports fast. It is changing how athletes train and how teams compete. Artificial intelligence is also changing how fans watch the game. This paper looks at how artificial intelligences affecting the sports industry. It looks at how artificial intelligences used to analyse how athletes perform and to prevent injuries. It also looks at how artificial intelligences used to make sure the referees make accurate decisions and to make the game more fun for fans. The study used a tool called the Local Binary Pattern Histogram algorithm and an app called Better Up to see how artificial intelligence works. The study found out that artificial intelligence can track how athletes move with an accuracy of up to 91.6 percent. Artificial intelligence can also reduce stress levels by 38 percent. Artificial intelligence can increase how well athletes can handle situations by 31 percent. The use of Video Assistant Referee technology in football has also made a difference. It has improved the accuracy of decisions from 82 percent to 94 percent. During the 2018 FIFA World Cup artificial intelligence was more accurate with an accuracy of 99.32 percent. The market for sports analytics is going to be really big with a value of USD 5.2 billion by 2024. This market is growing fast with a growth rate of 22.0 percent per year. While artificial intelligence is really helpful in sports there are also some challenges with intelligence. For example the data used by intelligence can be biased and there are ethical concerns about artificial intelligence. There are also problems with intelligence that need to be solved. This research shows that artificial intelligence is a part of the sports industry now and will continue to change it in the future. Artificial intelligence is going to keep playing a role in shaping the future of sports and artificial intelligence will be really important, for the sports industry. Nidhi Pimpalkar | Divya Patle "Revolutionizing the Sports Industry Using Artificial Intelligence" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101282.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101282/revolutionizing-the-sports-industry-using-artificial-intelligence/nidhi-pimpalkar
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| Vitalsphere – AI Powered Smart Health Diagnostic System | | Author : Satyam Tiwari | Shreyashi Ratnaparkhi | | Abstract | Full Text | Abstract :The Medisen Disease Prediction Website is a unique and intelligent health care solution that has been created to enhance the accessibility and availability of health care services by predicting possible diseases based on the symptoms provided by the user. The rapid growth in technology and the demand for digital health care solutions have led to the creation of this health care solution, which promises to provide a quick, dependable, and easily accessible solution for the identification of diseases. The solution has employed advanced machine learning algorithms like K Nearest Neighbors KNN , Decision Tree, and Random Forest to analyze the symptoms provided by the user and compare them with a comprehensive list of diseases in its database. The primary aim of the Medisen platform is to help users determine possible diseases in their early stages without the need for immediate in person consultations. This is especially important for minor symptoms, which, though they may cause concern, do not necessarily require immediate medical attention. This helps users make informed decisions about whether they should seek immediate professional medical help. This not only saves time and resources but also helps in the early awareness of one’s health and how to manage it. Aside from the prediction of diseases, the platform has an integrated feature that allows users to connect with specialized doctors who deal with the disease in question. This bridges the gap from the prediction of diseases to receiving proper medical treatment from professionals. This helps users receive proper guidance on how to proceed with their healthcare. The platform recommends specialists who can help users receive proper diagnosis and treatment for their diseases. In order for the prediction model to be effective, a comparative analysis was done on various machine learning algorithms. The results show that the accuracy and precision of the model are higher when using the Random Forest algorithm compared to using the KNN and Decision Tree algorithms. Therefore, the Random Forest algorithm was chosen for use in the system for disease prediction. The Medisen platform is created in a way that is simple and user friendly for people to use, even for those who do not have a lot of knowledge in technology. All a user needs to do is enter their symptoms, and then the system can process the data and give possible predictions for diseases. Not only can this platform be useful for regular people, but it can also be useful for medical professionals. In conclusion, the Medisen Disease Prediction Website is an essential tool in the development of advanced digital healthcare services. This is particularly because it enables early disease detection, facilitates the accessibility of healthcare services, and reduces the load on healthcare institutions. By incorporating artificial intelligence with healthcare services, the system enables quicker decision making and encourages individuals to adopt preventive measures for maintaining their health. Therefore, this website presents the possibility of artificial intelligence in the development of advanced healthcare systems. Satyam Tiwari | Shreyashi Ratnaparkhi "Vitalsphere – AI-Powered Smart Health Diagnostic System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101284.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101284/vitalsphere-–-aipowered-smart-health-diagnostic-system/satyam-tiwari
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| Humanoid Robots and Their Real World Application | | Author : Aarya Sherekar | Anuja Chimurkar | | Abstract | Full Text | Abstract :The humanoid robotics industry has grown rapidly in the last few years due to major progress in artificial intelligence AI , computer vision, sensor systems, actuator technology, and real time control. Humanoid robots are designed to look and move like humans, allowing them to operate in environments created for people. This research paper studies and compares some of the most advanced humanoid robots currently under development. The platforms analysed include Tesla Optimus, Boston Dynamics Atlas, Agility Robotics Digit, Figure AI Figure 01, as well as emerging systems from Sanctuary AI, 1X Technologies, The main goal of this study is to understand how these humanoid robots differ in terms of their design, movement ability, intelligence, and real world usage. Although all of these robots aim to perform human like tasks, each company follows a different strategy. Some focus on speed and strength, while others prioritize safety, flexibility, or human interaction. By comparing their technical features and development approaches, this paper highlights the strengths and limitations of each system. One of the key areas of comparison is mobility. Robots such as Atlas and Optimus are built for high balance, dynamic walking, and complex movement in rough environments. Digit is designed for warehouse and logistics tasks, where it can walk, climb stairs, and carry boxes. Other platforms, like Figure 01 and Sanctuary AI’s robots, are focused on stable human like walking that works safely in indoor spaces. These differences show that humanoid robots are being designed for specific real world roles rather than one universal purpose. Another important factor is manipulation, which refers to how robots use their hands and arms. Some robots use strong, industrial style grippers, while others have five fingered hands that closely copy human motion. More advanced hands allow robots to pick up delicate objects, use tools, and perform fine tasks such as assembling parts or sorting items. However, these hands are also more complex and expensive, making cost an important challenge. Humanoid robots are machines designed to look and move like human beings. In recent years, this field has grown very quickly because of major improvements in artificial intelligence AI , computer vision, sensors, batteries, and control systems. These technologies help robots see their surroundings, keep balance, recognize objects, and perform tasks safely. As a result, humanoid robots are slowly moving from research laboratories into real workplaces such as factories, warehouses, hospitals, and service industries. This research paper studies and compares some of the most advanced humanoid robots currently being developed by leading companies. These include robots designed for factory work, logistics support, research testing, and customer service. Aarya Sherekar | Anuja Chimurkar "Humanoid Robots and Their Real-World Application" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101285.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101285/humanoid-robots-and-their-realworld-application/aarya-sherekar
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| Quantum Enhanced Machine Learning | | Author : Dhanashri Werulkar | Mahima Choudhari | | Abstract | Full Text | Abstract :The contemporary trajectory of computational research has witnessed the emergence of hybrid quantum classical machine learning as a paradigm of considerable significance, one that synthesizes the theoretical advantages posited by quantum information processing with the robust methodological frameworks developed within classical optimization and statistical learning theory. This investigation presents a comprehensive examination of PennyLane, a Python based framework that establishes a seamless interface between quantum circuit architectures and conventional machine learning workflows, thereby enabling the systematic construction, optimization, and deployment of variational quantum algorithms. The theoretical underpinnings of this work draw substantially from the foundational contributions of Dunjko Taylor and Briegel who established the agent environment framework for quantum machine learning and demonstrated that quadratic improvements in learning efficiency are theoretically attainable for deterministic epochal environments through their conceptualization of luck favoring settings. Our implementation extends these theoretical principles into practical application domains through the development and empirical evaluation of quantum kernel methods, variational quantum eigensolvers, portfolio optimization algorithms, and integrated hybrid architectures that interface with classical machine learning frameworks including PyTorch TensorFlow and JAX. The methodological approach employs concrete Python implementations utilizing widely adopted libraries such as scikit learn for baseline comparisons pandas for data manipulation and matplotlib for visualization, thereby demonstrating how PennyLane facilitates efficient quantum circuit construction, automatic differentiation through the parameter shift rule, and hybrid optimization workflows that leverage classical gradient based methods for quantum parameter updates. Experimental evaluations conducted across multiple domains including medical imaging classification financial portfolio optimization and generative modeling demonstrate that hybrid quantum classical architectures consistently achieve superior performance metrics relative to classical baselines, with accuracy improvements reaching 3.6 percent on medical imaging tasks and training time reductions of 33 to 37 percent. The 8 qubit circuit configurations consistently outperformed their 4 qubit counterparts, suggesting that increased quantum resources within Noisy Intermediate Scale Quantum constraints provide enhanced feature representation capabilities. By situating PennyLane within the broader theoretical context established by quantum computing and machine learning research, this work articulates its role as a methodological building block for quantum enhanced data science and provides researchers and practitioners with a comprehensive reference that bridges foundational quantum computing concepts with applied machine learning practice. Our goal is to provide researchers and practitioners with a concise reference that bridges foundational quantum computing concepts and applied machine learning practice, making PennyLane a default citation for hybrid quantum classical workflows in Python based research. Dhanashri Werulkar | Mahima Choudhari "Quantum-Enhanced Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101286.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101286/quantumenhanced-machine-learning/dhanashri-werulkar
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| AI Hallucination Detection and Mitigation Prompt Injection Attack on AI | | Author : Shahid Khan | Avneet Singh Sehre | | Abstract | Full Text | Abstract :Large Language Models LLMs have shown impressive skills in understanding and generating natural language. However, as they gain popularity, important security and reliability issues have arisen. Two key challenges include AI hallucinations, where models create incorrect or made up information, and prompt injection attacks, where malicious inputs trick the model into giving unwanted or harmful outputs. These weaknesses pose serious risks in areas like education, cybersecurity, healthcare, and automated decision making systems. This paper offers a detailed study of AI hallucinations and prompt injection attacks, followed by the development of a hybrid detection and mitigation framework. The proposed framework features a multi layer structure that includes input monitoring, semantic risk analysis, hallucination detection through fact consistency checks, and a mitigation engine that works on response regeneration and prompt cleaning. The system also adds a risk scoring method to categorise outputs based on their chances of being manipulated or hallucinated. Through experiments and simulations, the proposed method shows better detection accuracy and fewer incorrect outputs compared to standard language model responses. The study underscores the need to incorporate security aware methods directly into AI workflows and lays the groundwork for creating safer and more reliable AI systems. Large Language Models LLMs have quickly become essential in modern AI applications because they can create fluent and context sensitive responses. Despite their strengths, these systems face serious reliability and security challenges. Two major concerns are AI hallucinations, where the model produces incorrect or made up information, and prompt injection attacks, where harmful inputs manipulate the model to generate unintended or harmful outputs. These problems decrease user trust and create serious risks in fields that rely on accurate and secure AI driven decision making. This research provides a structured analysis of both hallucination behaviour and prompt injection weaknesses, followed by the design of a hybrid detection and mitigation framework. The proposed approach features a layered monitoring system that checks user inputs for harmful patterns and verifies generated outputs for factual accuracy. By incorporating risk scoring and mitigation strategies within a single structure, the framework improves both reliability and security while keeping the core language model unchanged. Experimental evaluations show better detection results and reduced vulnerability compared to standard systems. Shahid Khan | Avneet Singh Sehre "AI Hallucination Detection and Mitigation Prompt Injection Attack on AI" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101287.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101287/ai-hallucination-detection-and-mitigation-prompt-injection-attack-on-ai/shahid-khan
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| Spam Email Detection Using Machine Learning and Natural Language Processing Techniques | | Author : Harsh Dhakate | Mithul Jamgade | | Abstract | Full Text | Abstract :Email is one of the most crucial forms of communication in daily life, be it academic or business. Yet with the growing volume of email, comes a growing amount of spam emails. Spam emails are not only annoying but they are also dangerous because it may have links for phishing and other malicious activities as well. The strategy for detection using filter such as spam email detection does not work the same way because perpetrators change their strategies to avoid filters. So, its need of the hour to develop intelligent and automated spam email detection systems which learn and adapt. In this research, we design and build a model for Spam Email Detection using the Machine Learning and Natural Language Processing techniques. This research aims to develop a model that can classify emails based on email content using spam and ham emails. Natural Language Processing is also used because email data is pre processed. Pre processing — Various methods used to clean and normalize raw email data These include tokenization, stop word removal, lower casing and lemmatization. After pre processing, feature extraction techniques like Term Frequency Inverse Document Frequency TF IDF are used to convert the raw email data into a representation that machine learning algorithms can comprehend and work with. Various supervised machine learning models including Naïve Bayes, SVM, Logistic Regression and Random forest are implemented followed by performance comparison. The models are trained on labeled datasets and then the performance of the models is evaluated using various metrics like accuracy, precision, recall, F1 score. Through this experiment we can figure out that the classification of spam messages or accuracy is highly improvised in machine learning models w.r.t. old strategies. For instance, SVM and Logistic Regression models perform well with high precision and low false positive rates so that normal messages are not predicted to be spam. The findings of this study validate that with the help of defining higher level features using NLP models, we can achieve improved accuracy by combining machine learning models to form a robust spam filter model, which could be scaled upwards for adapting to the changing characteristics of spam messages as well as providing useful performances in real time. Future Directions The next step can combine deep learning models with powerful word embeddings that increase the performance of the model in spam message classification. In this paper we demonstrate the importance of intelligent methods for safe email communication models. Harsh Dhakate | Mithul Jamgade "Spam Email Detection Using Machine Learning and Natural Language Processing Techniques" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101289.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101289/spam-email-detection-using-machine-learning-and-natural-language-processing-techniques/harsh-dhakate
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| Predictive Analysis Using Big Data | | Author : Pranav Kadu | Himanshu Khadse | | Abstract | Full Text | Abstract :Predictive analysis using big data is a significant technique that analyzes historical data, statistical tools, and machine learning techniques to predict future outcomes. 1 With the increased rate of data generation from various sources, including social media, business transactions, etc., organizations can use big data analytics to analyze large amounts of data to identify patterns and trends. 2 Predictive analytics helps businesses make informed decisions, improve business efficiency, and predict future outcomes. This research paper aims to understand the concept, methodologies, tools, applications, and challenges of predictive analytics in the big data environment. Moreover, it also focuses on the significance of predictive analytics, which helps organizations derive meaningful information from raw data. Predictive analysis using data is a way to figure out what might happen in the future by looking at what happened in the past and what is happening now. Every day a huge amount of data is created from things like media, online purchases, sensors, mobile phones and company systems. This big data is too much for old systems to handle so new technologies and methods have been developed to deal with it. Predictive analytics uses statistics, machine learning, data mining and artificial intelligence to find patterns in data. By looking at the data predictive models can see what might happen next. This helps companies make decisions avoid risks and work better. For example companies can use analytics to guess what customers will want catch fake transactions and make their processes better .Big data technologies like computers and storage systems are important for predictive analytics. These technologies help companies process data quickly. Tools like Hadoop, Spark and Python are used to make models and look at big data. Predictive analysis using data can be used in many areas, including healthcare, finance, retail, marketing, education and transportation. In healthcare predictive models can help doctors see who might get sick and take care of patients. In finance they can catch transactions and predict what the market will do. In marketing companies can look at what customers do and make recommendations thatre just for them. There are some problems with analytics like keeping data private making sure the data is good and dealing with the cost of big computers.. New technologies and machine learning algorithms are helping to solve these problems. In the end predictive analysis using data is a powerful way to turn raw data into useful information. By using analytics and big data technologies companies can understand patterns, in data and make good decisions for the future. Predictive analysis using data is a valuable tool that can help companies grow and innovate. Pranav Kadu | Himanshu Khadse "Predictive Analysis Using Big Data" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101291.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101291/predictive-analysis-using-big-data/pranav-kadu
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| Artificial Intelligence in Healthcare and Heart Disease Diagnosis | | Author : Prathamesh Thombare | Harshal Thakre | | Abstract | Full Text | Abstract :Artificial Intelligence AI has rapidly become one of the most influential technologies shaping modern healthcare. Its integration into medical systems has improved several aspects of healthcare delivery, including disease diagnosis, patient monitoring, predictive analysis, and treatment planning. Among the many health problems affecting people globally, cardiovascular diseases CVDs , particularly heart disease, continue to be the leading cause of death worldwide 7 . The rising number of cases highlights the importance of developing advanced diagnostic tools that can assist healthcare professionals in identifying risks at an early stage. Traditional approaches to heart disease diagnosis rely mainly on medical expertise, laboratory testing, diagnostic imaging, and manual interpretation of patient data. Although these methods have been widely used for many years, they often require specialized medical infrastructure, considerable time, and careful interpretation by experts. In some situations, human error or delayed diagnosis may affect the overall effectiveness of treatment. At the same time, the amount of medical data produced through electronic health records EHRs , wearable health devices, and diagnostic imaging technologies has grown tremendously, making it difficult to analyze this information using conventional techniques alone 2 . Artificial Intelligence, particularly through Machine Learning ML and Deep Learning DL , offers powerful methods for analyzing complex healthcare data. These technologies can identify hidden patterns within large datasets and help estimate the probability of heart disease by examining risk factors such as age, blood pressure, cholesterol levels, electrocardiographic results, lifestyle habits, diabetes history, and genetic background. AI based systems often function as Clinical Decision Support Systems CDSS , assisting healthcare professionals by providing insights that support faster and more accurate diagnostic decisions 10 . This research paper presents an analytical study of Artificial Intelligence applications in healthcare diagnosis, with special focus on heart disease prediction. The paper reviews existing research, explains the technologies used in AI based diagnostic systems, and discusses methodological approaches, potential advantages, and challenges involved in implementing AI in healthcare environments. The findings indicate that AI supported diagnostic systems have the potential to improve early disease detection, reduce mortality rates, increase healthcare accessibility, and enhance the efficiency of clinical decision making 1 . Prathamesh Thombare | Harshal Thakre "Artificial Intelligence in Healthcare and Heart Disease Diagnosis" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101292.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101292/artificial-intelligence-in-healthcare-and-heart-disease-diagnosis/prathamesh-thombare
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| A Study on the Role of Artificial Intelligence in Web Based Applications | | Author : Atharva Gawande | Saptak Kashi | | Abstract | Full Text | Abstract :The evolution of web applications has been greatly influenced by the incorporation of Artificial Intelligence AI into our modern digital platforms. The introduction of AI technologies has led to considerable improvements in automation, as well as capabilities for making better decisions and increasing the overall efficiency of the web application systems. Additionally, because of the ability to analyse vast amounts of user generated data, AI allows web applications to have a deeper understanding of user behaviours, improve operational processes, and make systems more secure. Consequently, as a result of this deep understanding and the enhanced capabilities of web applications due to AI, they become more intelligent, responsive and able to accommodate a variety of user needs and preferences. This paper will investigate the link between AI and web based applications and specifically, this paper will explore the following applications that are being affected by AI chatbots, recommendation systems, personalisation techniques, search engine optimisation, and fraud detection systems. Moreover, the paper will examine how the various AI based technologies affect how people interact with web based applications and improve the overall functionality of the systems. Such technologies enable web applications to understand user behaviour by identifying behavioural patterns, generating predictive models, and providing real time recommendations to enhance the users experience when using web applications. In addition to that, the research discusses the more enhanced and effective way that AI technologies can be incorporated into web applications to improve user experience, increase the amount of automation when using web applications, and how AI technologies can help develop stronger security frameworks. Furthermore, this research also looks at potential issues of concern when integrating AI in web applications. For example privacy concerns regarding personal information used in creating AI based applications, the logistics surrounding the development of cutting edge AI algorithms, how potential biases are introduced into decision making processes by AI, and finally, how AI requires significantly more computational power than many traditional web applications. Furthermore, the research focuses on evaluating how important it is that AI systems continue to increase in importance for websites that leverage intelligent technology today as well as highlighting possible future applications of intelligent web technologies. The conclusion will state that AI is helping to drive the continuous evolution of intelligent web infrastructures as they allow for more complexity in web applications than what previous generations of web infrastructures provided while simultaneously being more flexible, faster and highly focused towards meeting user needs within our ever changing world. Atharva Gawande | Saptak Kashi "A Study on the Role of Artificial Intelligence in Web-Based Applications" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101293.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101293/a-study-on-the-role-of-artificial-intelligence-in-webbased-applications/atharva-gawande
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| Impact of Business Management on Small Business | | Author : Manas Gupta | Shlok Hasoriya | | Abstract | Full Text | Abstract :In a management field, success and failure can be interpreted as measures of good or indifferent management, but it may occur for other reasons such as luck. Numerous terms have been used in the literature to describe firm failure, for example bankruptcy, insolvency, liquidation, death, deregistering, discontinuance, ceasing to trade, closure, and exit. The overall aim of this research was to develop a clearer understanding of the factors that influence success of Micro Enterprises in Bamenda, as perceived by local small business managers. The prime motive for conducting this study is to get a comprehensive model relating to the various success factors for small business managers. The mixed methods approach is used to avoid common method bias that could affect the results of this research study. In the first phase, a quantitative approach was employed in the form of a survey questionnaire, in order to identify the critical success factors for small businesses in the city of Bamenda as perceived by small business managers and to classify and compare successful and less successful small businesses with respect to the identified factors. The second phase adopted a qualitative approach to explore how small business managers see the factors that facilitate business ‘success’ in relation to their experiences in Bamenda. This study has shown that understanding the success of small businesses from the perspective of small business managers is a complex challenge. Findings of the two phases of the study showed that a host of internal as well as external factors, which are usually moderated by other variables, seem to influence business success in Bamenda. However, while many factors are conceptually similar to other studies in different contexts, others are context based and closely linked to the specific characteristics of the situation in Bamenda. This finding suggests a close relationship with networking and business success. It can be suggested that the ability to develop relationships and to build a method of business that strengthens and manages relationships is a significant factor in Cameroonian business and society in general. Manas Gupta | Shlok Hasoriya "Impact of Business Management on Small Business" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101294.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101294/impact-of-business-management-on-small-business/manas-gupta
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| Designing Robust E Commerce Platforms | | Author : Amogh Mahajan | Yash Patil | | Abstract | Full Text | Abstract :The rapid proliferation of internet connectivity and mobile devices has transformed the global retail landscape, giving rise to e commerce as a dominant commercial paradigm. This paper presents a comprehensive case study of a mid scale e commerce website, examining its full stack architecture, user interface design principles, back end infrastructure, security protocols, and performance optimization strategies. The study analyzes the platforms technical stack, including its use of RESTful APIs, microservices architecture, relational and NoSQL databases, and cloud based deployment. Additionally, the paper evaluates the websites approach to cybersecurity, encompassing SSL TLS encryption, authentication, and PCI DSS compliance for payment processing. Performance benchmarks, user experience metrics, and scalability test results are presented to demonstrate the platforms effectiveness under varying load conditions. The findings reveal key design decisions, implementation challenges, and best practices that inform the development of robust, scalable, and user centric e commerce systems. This case study aims to serve as a practical reference for developers, system architects, and researchers seeking to build or improve online retail platforms. The rapid proliferation of internet connectivity and mobile devices has fundamentally transformed the global retail landscape, catalyzing the emergence of e commerce as a dominant commercial paradigm and reshaping consumer purchasing behaviors worldwide. This comprehensive case study examines a mid scale e commerce platform, providing an in depth analysis of its full stack architecture, user interface design principles, back end infrastructure, advanced security protocols, and performance optimization strategies. The investigation encompasses the platforms technical stack, including API design patterns, distributed microservices architecture, hybrid data management systems combining relational and NoSQL databases, containerization strategies, and cloud native deployment methodologies on scalable infrastructure platforms. Beyond technical implementation, the study rigorously evaluates the websites multi layered cybersecurity framework, encompassing end to end SSL TLS encryption protocols, sophisticated and role based access control RBAC authentication mechanisms, PCI DSS compliance for secure payment processing, and proactive threat detection systems. The research employs quantitative performance benchmarking to assess key metrics including page load time, system response latencies, user experience indicators UX , conversion rate optimization, and throughput under varying load conditions. Comprehensive scalability testing reveals the platforms capacity to handle traffic spikes, concurrent user sessions, and peak demand periods through horizontal scaling, load balancing, and database optimization techniques. Amogh Mahajan | Yash Patil "Designing Robust E-Commerce Platforms" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101297.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101297/designing-robust-ecommerce-platforms/amogh-mahajan
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| An Analysis of Security Awareness of Data Security and Privacy | | Author : Farhan Khan | Sahil Satpute | | Abstract | Full Text | Abstract :In today’s interconnected world, students are among the most active users of digital technologies, ranging from online learning platforms to social media networks and cloud based services. While this widespread adoption offers significant educational and social benefits, it also exposes students to various cybersecurity risks, including data breaches, identity theft, phishing attacks, and unauthorized access to personal information. Despite the prevalence of these threats, research indicates that many students possess limited knowledge about best practices for securing their digital data and protecting their online privacy. This study aims to assess the level of data security awareness among students, identifying the factors that influence their understanding and behavior, such as age, educational background, exposure to cyber threats, and institutional training. Using a mixed methods approach that combines structured surveys and interviews with students from different academic disciplines, the research uncovers common misconceptions, risky online habits, and gaps in institutional policies regarding data security education. The findings highlight the critical need for comprehensive awareness programs, workshops, and curriculum integration to equip students with practical cybersecurity skills and foster responsible digital practices. By promoting data security awareness among students, educational institutions can not only safeguard individual privacy but also contribute to a safer, more secure digital environment that supports academic growth, innovation, and ethical technology use. This study emphasizes that raising awareness is not just a technical necessity but an essential component of holistic education in the 21st century, preparing students to navigate the digital landscape caution competence, and confidence. In the digital era, students frequently use the internet, social media, and online platforms for academic and personal purposes, which increases the risk of data security threats. This study focuses on assessing the level of data security awareness and privacy practices among college students. The main objective of the research is to understand how well students are aware of cybersecurity risks such as phishing attacks, weak passwords, data breaches, and misuse of personal information. It also examines students’ behavior and practices related to protecting their digital data. The research is based on a survey conducted among undergraduate students using a structured questionnaire. The collected data is analyzed to evaluate students’ knowledge, attitudes, and practices regarding data security and online privacy. The findings indicate that while many students have basic awareness of cybersecurity concepts, a significant number still lack proper knowledge about secure online practices and protection of personal data. Farhan Khan | Sahil Satpute "An Analysis of Security: Awareness of Data Security and Privacy" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101300.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101300/an-analysis-of-security-awareness-of-data-security-and-privacy/farhan-khan
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| AI in Self Driving Car | | Author : Aman Chaudhari | Afshan Khan | | Abstract | Full Text | Abstract :As of 2026, the integration of Artificial Intelligence AI has transitioned autonomous vehicles from simple driver assist tools to complex reasoning systems capable of navigating unpredictable environments. This paper explores the architectural evolution of AI in self driving technology, focusing on the shift from traditional modular pipelines—perception, localization, and planning—to end to end Deep Learning models and Large World Models LWMs . By analysing the fusion of LiDAR, Radar, and Computer Vision data, the study evaluates how modern neural networks handle edge cases and real time decision making. Furthermore, the research addresses the technical and ethical challenges of Level 4 and Level 5 autonomy, particularly regarding safety protocols and machine reasoning. The findings suggest that while perception is reaching human level maturity, the future of fully autonomous transport relies on the AI’s ability to predict human intent and navigate complex ethical dilemmas. The rapid evolution of Artificial Intelligence AI has fundamentally transformed the automotive industry, moving the paradigm from traditional driver assistance systems to fully autonomous mobility. As of 2026, the primary challenge in self driving technology has shifted from basic object recognition to high level machine reasoning and intent prediction. This research paper provides a comprehensive analysis of the AI architecture required to achieve Level 4 and Level 5 autonomy, focusing on the sophisticated interplay between Deep Learning DL , Computer Vision, and Sensor Fusion. The study begins by examining the Perception Action cycle, where raw data from LiDAR, Radar, and high resolution cameras are processed through Convolutional Neural Networks CNNs to create a dynamic 360 degree environmental map. We investigate the transition from Modular Pipelines —where perception, localization, and planning are handled by separate codebases—to End to End Deep Learning architectures. These modern systems utilize Large World Models LWMs to simulate and predict the physics of the real world, allowing the vehicle to understand not just what an object is, but how it is likely to behave in the next five seconds. Autonomous vehicles rely on AI technologies such as computer vision, machine learning, and sensor fusion to analyse their surroundings and make driving decisions. These systems process large amounts of real time data to identify road conditions, traffic signals, pedestrians, and other vehicles. AI enables autonomous cars to perform tasks such as lane detection, collision avoidance, and route optimization. The adoption of self driving technology could significantly improve road safety, reduce traffic congestion, and enhance mobility for elderly and disabled individuals. However, challenges such as technical limitations, infrastructure requirements, and public trust need to be addressed. Aman Chaudhari | Afshan Khan "AI in Self-Driving Car" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101301.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101301/ai-in-selfdriving-car/aman-chaudhari
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| Machine Learning Based Fake News Detection System Using NLP Techniques | | Author : Rahil Ansari | Amit Moharkar | | Abstract | Full Text | Abstract :The rapid evolution of social media has transformed information consumption into a double edged sword while it democratizes access, it also serves as a high speed conduit for fabricated narratives. Manual fact checking, though accurate, cannot keep pace with the sheer velocity and volume of data generated every second. This research tackles that scalability gap by leveraging Natural Language Processing NLP to build an automated defense mechanism. By stripping away linguistic noise through tokenization and stop word removal, the system isolates the core semantic features of an article. The use of Term Frequency Inverse Document Frequency TF IDF vectorization is particularly crucial here, as it allows the model to quantify the importance of specific words, effectively distinguishing the sensationalist patterns often found in clickbait from the structured language of credible journalism. At the heart of the system’s architecture is a robust classification engine powered by supervised machine learning algorithms, specifically Naive Bayes and Logistic Regression. These models are trained to recognize the underlying statistical differences between factual reporting and deceptive content. To make this technology accessible to the general public, the system is deployed via a client server model integrated with an intuitive web based interface. This allows users to input news text and receive an instant authenticity rating, bridging the gap between complex computational linguistics and everyday digital literacy. The experimental results confirm that these algorithms can achieve high precision, making them a viable tool for real time misinformation filtering. Furthermore, the integration of these models represents a proactive shift from passive consumption to active digital verification. By identifying hidden linguistic markers—such as inflammatory adjectives, biased framing, or structural inconsistencies—the system provides a layer of objective scrutiny that human intuition often misses when browsing social feeds. This automated approach does more than just sort data it acts as a digital safeguard that promotes social and political stability by restoring trust in the information ecosystem. As digital landscapes continue to shift, this research serves as a foundational blueprint for building a more transparent internet and empowering users to navigate the complexities of the modern information age. Rahil Ansari | Amit Moharkar "Machine Learning-Based Fake News Detection System Using NLP Techniques" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101302.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101302/machine-learningbased-fake-news-detection-system-using-nlp-techniques/rahil-ansari
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| A Case Study of the WannaCry Ransomware Attack and its Global Impact | | Author : Khushboo Roy | Om Shende | | Abstract | Full Text | Abstract :The rapid growth of digital technologies and networked systems has significantly increased the risk of cyber threats worldwide. Among these threats, ransomware has emerged as one of the most dangerous forms of malware due to its ability to encrypt user data and demand payment for its recovery. One of the most notable ransomware incidents in recent history is the global outbreak of WannaCry, which occurred in May 2017. The WannaCry attack spread rapidly across computer networks by exploiting a vulnerability in the Server Message Block SMB protocol of Microsoft Windows operating systems. This vulnerability was exploited using the EteralBlue exploit, which allowed the malware to propagate automatically between vulnerable systems without requiring user interaction. As a result, the attack infected more than 200,000 computers across over 150 countries within a short period of time, making it one of the largest and most disruptive cyberattacks in history. The objective of this research paper is to analyse the WannaCry ransomware attack from a technical, operational, and cybersecurity perspective. The study focuses on understanding the architecture and behaviour of the malware, the vulnerability exploited during the attack, the propagation mechanism used to spread across networks, and the overall impact on global digital infrastructure. The attack particularly affected critical sectors such as healthcare, banking, transportation, and telecommunications. One of the most widely reported incidents occurred in the United Kingdom where several hospitals operated by the National Health Service were forced to cancel appointments and medical procedures due to system failures caused by the ransomware infection. This incident highlighted the vulnerability of essential services to cyber threats and emphasized the importance of strong cybersecurity measures. The research methodology adopted in this study is based on a qualitative case study approach using secondary data collected from reliable sources such as security advisories issued by Microsoft, reports published by the National Cyber Security Centre, government cybersecurity alerts, academic journals, and technical research publications. These sources were analysed to understand the technical working of the ransomware, the timeline of the attack, and the strategies used by cybersecurity experts to contain the outbreak. The analysis also examines the discovery of the so called “kill switch” domain by a security researcher, which helped slow down the spread of the malware. In conclusion, the WannaCry ransomware attack serves as a critical case study for understanding modern cyber warfare and digital vulnerabilities. The lessons learned from this incident emphasize the importance of proactive cybersecurity measures, continuous monitoring of network systems, and rapid response mechanisms to mitigate potential cyber threats. By examining the technical structure and global impact of the WannaCry attack, this research aims to contribute to a better understanding of ransomware behaviour and to support the development of stronger cybersecurity frameworks for the protection of digital infrastructure. Khushboo Roy | Om Shende "A Case Study of the WannaCry Ransomware Attack and its Global Impact" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101303.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101303/a-case-study-of-the-wannacry-ransomware-attack-and-its-global-impact/khushboo-roy
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| Smart Agriculture IoT System | | Author : Himanshi Bisane | Manasvi Shelke | | Abstract | Full Text | Abstract :Digital technology has developed at an accelerated pace to create automated farming systems which operate with greater efficiency than traditional agriculture methods. A Smart Agriculture IoT System SA IoTS functions as a sophisticated software and hardware solution that enables farms to conduct their operations through an IoT connected network. The primary function of this system enables farmers to execute basic agricultural tasks through automated processing which handles soil monitoring and irrigation control and crop health assessment and yield prediction and data analytics. The IoT based system delivers improved operational results because it enables farms to access their resources through a single connected platform which enhances both security and reliability and operational productivity. Farmers use this system for field monitoring and sensor data visualization and alert generation through a web mobile interface. The system enables agronomists and workers to access its functions from any internet enabled device which allows them to check soil moisture and control pumps and receive pest alerts and review historical data without needing to visit the fields. The system maintains a database which contains all essential data about sensors and crops and environmental parameters to achieve efficient data handling and fast information access. The Smart Agriculture IoT System achieves security improvement through its device authentication system and its role based access control system, which prevents unauthorized users from executing particular system functions. The system enables farm staff to work more efficiently because it eliminates the need for physical inspections while saving time and increasing their work output. The system enables real time updates, which help maintain accurate records of soil conditions and irrigation status. The system provides scalability, which allows small farms to large agribusinesses, plantations, and cooperatives to implement the system in their operations. The system delivers faster services, which enables users to optimize resources, thereby improving crop yield and sustainability. The Smart Agriculture IoT System uses IoT sensors and cloud computing and user friendly interfaces to modernize farming operations because it makes agriculture more efficient and reliable and accessible in the digital age. Himanshi Bisane | Manasvi Shelke "Smart Agriculture IoT System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101304.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101304/smart-agriculture-iot-system/himanshi-bisane
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| Cloud Gaming Technology, Infrastructure, and Market Dynamics | | Author : Sanay Pise | Kshitij Khobragade | | Abstract | Full Text | Abstract :The system enables users to access high quality gaming content through basic equipment because it transmits pre rendered visuals over the internet instead of requiring users to possess advanced graphics processing units and central processing units. The review examines 78 studies which researchers published between 2015 and 2025 to explore various technologies and architectural systems and optimization techniques which determine the development of cloud gaming systems. GeForce NOW and Xbox Cloud Gaming together with PlayStation Plus Premium provide their users with online gaming services which deliver end to end latency times that range from 45 milliseconds to 85 milliseconds during optimal conditions while local gaming systems maintain 8 to 15 millisecond latency times. The combination of edge computing and adaptive bitrate streaming together with GPU virtualization and predictive rendering technologies creates an enhanced Quality of Experience QoE system which still suffers from network limitations and propagation delay issues. The research study demonstrates that operational expenses for each user per hour range between 0.83 and 1.38 which creates financial challenges for the subscription model that Google Stadia used before its 2023 shutdown. Existing technologies enable cloud gaming systems to function yet their financial sustainability requires specific infrastructure elements to be in place. Research should concentrate on developing ultra low latency networking technology together with AI driven optimization and energy efficient rendering methods and integrated business strategies which utilize ecosystem resources to enhance long term growth capacity. In addition, the study evaluates architectural trade offs between centralized cloud data centers and distributed edge nodes, highlighting how proximity based deployment models can reduce jitter and packet loss while increasing infrastructure complexity and capital expenditure. Comparative analysis across commercial platforms and experimental prototypes indicates that hybrid cloud edge frameworks combined with machine learning–based traffic prediction can improve bandwidth utilization and session stability under fluctuating network conditions. The findings emphasize that future scalability will depend not only on technical optimization but also on regulatory frameworks, regional broadband penetration, carbon efficiency metrics, and cross platform interoperability standards that shape adoption patterns in emerging and developed markets alike. Sanay Pise | Kshitij Khobragade "Cloud Gaming: Technology, Infrastructure, and Market Dynamics" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101308.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101308/cloud-gaming-technology-infrastructure-and-market-dynamics/sanay-pise
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| Evaluating the Effectiveness of Mobile Applications in Women’s Safety and Emergency Management | | Author : Pranali Irle | Riya Bedare | | Abstract | Full Text | Abstract :The rising instances of crimes and safety threats against women have led to an increased demand for effective, technology based safety solutions. Mobile applications have become practical and accessible tools for womens safety and emergency management, thanks to the widespread use of smartphones and developments in digital communication technologies. This research paper assesses the effectiveness of mobile applications created for womens safety by analyzing their key features, including GPS based location tracking, one touch SOS alerts, real time monitoring, live location sharing, wearable device integration, and direct connectivity with emergency contacts and law enforcement agencies. Both qualitative and quantitative evaluation methods are used to measure application reliability, response time, usability, and user satisfaction in urban and rural settings. Case studies of popular safety applications, such as the Himmat App and bSafe, are reviewed to understand their practical application and performance in real world situations. The findings show that mobile safety applications greatly improve situational awareness and facilitate quicker emergency response. However, challenges like poor internet connectivity, slow institutional response, privacy concerns, and limited user awareness hinder their overall effectiveness. The study suggests that incorporating artificial intelligence for proactive threat detection, enhancing user interface design, and strengthening coordination with government emergency systems are vital for maximizing the effectiveness of mobile applications in womens safety and emergency management. Results show that mobile safety apps greatly improve situational awareness, speed up emergency response times, and give users instant access to help. However, obstacles including slow institutional response, inadequate internet connectivity in remote areas, privacy and data security issues, low technical literacy, and ignorance prevent them from reaching their full potential. The study highlights the necessity of multilingual interfaces, enhanced data encryption standards, offline emergency triggering mechanisms, AI driven threat detection, and closer collaboration with emergency control rooms and law enforcement. The study finds that although mobile applications are a promising solution for emergency management and womens safety, their efficacy, dependability, and broad adoption depend on ongoing technological innovation, policy level support, infrastructure development, and public awareness campaigns. Pranali Irle | Riya Bedare "Evaluating the Effectiveness of Mobile Applications in Women’s Safety and Emergency Management" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101309.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101309/evaluating-the-effectiveness-of-mobile-applications-in-women’s-safety-and-emergency-management/pranali-irle
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| QR Based Digital Cafe Menu with Secure Online Payment and Recommendation System | | Author : Aliya Khan | Kiran Dey | | Abstract | Full Text | Abstract :The rapid advancement of digital technologies has significantly transformed traditional business models, particularly in the hospitality and food service industry. Conventional café management systems rely on printed menus, manual order taking, and cash based billing processes, which often result in longer waiting times, order inaccuracies, and limited customer engagement. To address these challenges, this research proposes a QR Based Digital Café Menu integrated with Secure Online Payment and an Intelligent Recommendation System. The proposed system enables customers to scan a QR code placed at the café table to access a web based digital menu, place orders directly through their smartphones, and complete transactions securely using encrypted payment gateways. The integration of secure HTTPS protocols and tokenization mechanisms ensures protection against unauthorized access and financial fraud. Furthermore, a hybrid recommendation engine analyses user behaviour, order history, and popular menu combinations to provide personalized suggestions, thereby enhancing customer satisfaction and increasing average order value. The system follows a client server architecture that ensures scalability, reliability, and efficient data management. Comparative analysis between the traditional manual system and the proposed digital solution demonstrates significant improvements in order processing time, reduction in error rates, payment efficiency, and overall service quality. The findings indicate that the implementation of a QR based digital café system not only modernizes operational workflows but also supports contactless service trends and digital transformation in small and medium scale food businesses. The proposed model presents a practical, secure, and scalable approach for future ready café management systems. Aliya Khan | Kiran Dey "QR-Based Digital Cafe Menu with Secure Online Payment & Recommendation System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101310.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101310/qrbased-digital-cafe-menu-with-secure-online-payment-and-recommendation-system/aliya-khan
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| An IoT Based Smart Healthcare and Fitness Monitoring System | | Author : Saad Sheikh | Shraddha Maladhare | | Abstract | Full Text | Abstract :Modern healthcare and fitness management systems have undergone tremendous change as a result of the Internet of Things IoT rapid expansion. In order to provide ongoing health monitoring and individualized wellness management, this article presents an IoT Based Smart Healthcare and Fitness Monitoring System that combines wearable technology, particularly smartwatches, with a web based fitness platform. Using wearable sensors enabled by the Internet of Things, the suggested system continuously tracks important health metrics like heart rate, step count, sleep patterns, and physical activity levels. After being safely sent to a cloud based platform, the gathered data is examined and presented to users through an interactive fitness website. Through a subscription based model, the website provides individualized dietary recommendations, guided yoga sessions, and structured gym activity routines in addition to health monitoring. People can make choices about the way they live and take care of themselves by using the system to combine their own exercise and food plans with what is happening in their body right now. The system works with devices to make sure all the information is up to date and easy to see from far away. This helps people keep track of whats going on with their body all the time. The system can even help people find out if they might have a health problem on so they can do something about it before it gets worse. The system and its ability to integrate workout and nutrition plans, with real time physiological data can really help people By offering visual analytics, progress tracking, and automatic insights based on gathered health parameters, the suggested solution improves user engagement. Additionally, to guarantee the safety and confidentiality of user health information, secure data management procedures are put in place. This solution provides an intelligent, scalable, and user centric wellness ecosystem, bridging the gap between digital fitness platforms and healthcare monitoring. Furthermore, our system shows that wearable IoT devices can work well with analysis for preventive healthcare. The wearable sensors and web based dashboard sync in time so we can keep an eye on things without having to step in manually. The system uses thresholds and health scores to spot problems like irregular heartbeats, not enough exercise and bad sleep. This approach can be expanded to include cloud computing, AI and advanced analytics in the future. It also means our system can be used for fitness and in bigger smart healthcare setups. Overall, our framework helps move us toward data driven and personalized digital health systems. The use of IoT devices and smart analysis can really improve healthcare management. It allows for monitoring and early detection of health issues. Our system is designed to be adaptable and scalable making it a valuable tool for both broader healthcare applications. The integration, with cloud computing and AI can enhance its capabilities further. Saad Sheikh | Shraddha Maladhare "An-IoT Based Smart Healthcare and Fitness Monitoring System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101311.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101311/aniot-based-smart-healthcare-and-fitness-monitoring-system/saad-sheikh
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| Vistara Learn An AI Driven Personalized Learning Platform | | Author : Seema Singh | Khushi Singh | | Abstract | Full Text | Abstract :The rapid evolution of digital technologies has transformed the landscape of education, enabling flexible and remote learning opportunities across the world. Despite these advancements, many existing e learning platforms still rely on standardized content delivery models that fail to address individual learner differences in pace, preferences, and prior knowledge. This limitation often leads to reduced engagement, lower knowledge retention, and inconsistent learning outcomes. To address these challenges, this research proposes an artificial intelligence–driven personalized learning platform designed to provide adaptive, data driven, and learner centric educational experiences. The proposed platform integrates machine learning, educational data mining, and learning analytics to analyse learner behaviour, performance patterns, and engagement metrics. Based on these insights, the system dynamically recommends learning resources, adjusts learning paths, and provides real time feedback tailored to individual needs. A hybrid recommendation engine combining collaborative filtering and content based techniques is implemented to ensure relevant content delivery, while predictive analytics models identify at risk learners and enable timely interventions. Additionally, an adaptive assessment module modifies question difficulty according to learner performance, ensuring accurate competency evaluation and improved learning motivation. The research follows a design science methodology involving prototype development, simulated dataset testing, and performance evaluation using metrics such as recommendation relevance, prediction accuracy, learner engagement, and user satisfaction. Experimental results indicate that personalized learning paths significantly improve learner performance, increase course completion rates, and enhance overall engagement compared to non adaptive learning environments. The platform also provides interactive analytics dashboards that support educators in monitoring student progress and making data driven instructional decisions. Overall, Vistara Learn demonstrates the potential of artificial intelligence to transform traditional e learning systems into intelligent and adaptive ecosystems. By combining personalization, predictive insights, and interactive analytics within a unified framework, the platform contributes to improving learning efficiency, accessibility, and educational decision making. The study highlights the importance of AI driven personalization in modern education and provides a scalable foundation for future research and real world deployment of intelligent learning systems. Seema Singh | Khushi Singh "Vistara Learn: An AI-Driven Personalized Learning Platform" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101312.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101312/vistara-learn-an-aidriven-personalized-learning-platform/seema-singh
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| The Structural Influence of Recommendation Systems on Individual and Decision Making | | Author : Sarvesh Vankar | Bhavesh Rathod | | Abstract | Full Text | Abstract :Recommendation systems have become essential parts of today’s digital world. They shape how people find information, enjoy cultural goods, form preferences, and make decisions. In areas like e commerce, social media, news distribution, entertainment, and education, these systems increasingly influence the information environments that affect human choices. Although they are often portrayed as neutral tools that improve efficiency and relevance, recommendation systems actively steer attention, limit available options, and shape user behaviour. This paper presents a theory based framework for understanding how recommendation systems impact decision making at both individual and societal levels. Instead of seeing behavioural outcomes as simple results of user preferences, the framework views recommendation systems as dynamic feedback systems that evolve with user actions. By drawing on computer science insights about ranking algorithms, collaborative filtering, reinforcement learning, and optimization goals, while also including ideas from cognitive psychology, behavioural economics, and ethics, the analysis highlights several key ways influence occurs. First, recommendation systems make information simpler by filtering and ranking large amounts of content, narrowing the options people see. Second, feedback loops between user interactions and model updates highlight certain signals, strengthening emerging patterns of behaviour and contributing to how preferences are formed, not just revealed. Third, biases like popularity bias and exposure bias often favour already visible content, which can lead to unequal advantages and distortions in market and cultural diversity. Fourth, the dynamics of filter bubbles and echo chambers come from personalization practices that focus on short term engagement, risking the fragmentation of shared information. Fifth, algorithmic nudging in interface design and ranking methods subtly guides user choices without them realizing it. Lastly, traditional evaluation metrics—like click through rates, time spent, or short term engagement—create pressures that may clash with long term personal freedom, quality of knowledge, and community well being. The paper argues that we should view recommendation systems as active socio technical frameworks that reshape how we make choices. By affecting what we see, what stands out, and how reinforcement occurs, they influence thought processes, belief formation, habits, and social interaction. On a larger scale, the cumulative effects of these algorithms can change public conversations, cultural incentives, and market dynamics. The study concludes with a research agenda that suggests redesigning objective goals to account for long term user welfare and diversity, changing evaluation methods to go beyond metrics focused solely on engagement, and creating governance strategies that can tackle systemic risks without hindering innovation. Aligning recommendation technologies with individual freedom and societal health requires a rethink of technical designs and accountability systems. Sarvesh Vankar | Bhavesh Rathod "The Structural Influence of Recommendation Systems on Individual and Decision-Making" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101314.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101314/the-structural-influence-of-recommendation-systems-on-individual-and-decisionmaking/sarvesh-vankar
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| Decision Logic Transfer from Users to AI Application | | Author : Keshar Muneshwar | Vaidehee Dhakate | | Abstract | Full Text | Abstract :The use of artificial intelligence AI has dramatically increased over time because increasingly more AI systems are becoming an integral part of our daily lives and high consequence environments like healthcare, finance, government, and management. As AI tools are improved to be more capable and reliable, users are increasingly relying on them not only for input but also transferring a portion of their own reasoning processes to the systems. This process of transferring parts of the human reasoning process to algorithmic systems is known as Decision Logic Transfer. Under this method, humans transfer a portion of their cognitive responsibilities to algorithm driven systems, including the ability to evaluate options, employ criteria, and decide on a course of action. Although there are advantages to Decision Logic Transfer, there are also some disadvantages to transferring cognitive responsibility from humans to AI systems. For example, AI systems can improve a company’s efficiency, provide consistency in all of that company’s decisions, process much larger volumes of data than humans can, and to some degree lessen the biases and errors that humans may make. Additionally, businesses are able to standardize their operating procedures, comply with regulations, and make scalable decisions as a result of this transfer. On the other hand, as people continue to rely more and more on AI, they will likely lose their ability to think critically, be aware of their surroundings, and take personal responsibility for their decisions. This continual reliance on AI may result in people simply being passive receivers of the algorithms’ output rather than active participants in the decision making process. In high stakes decisions, over reliance, automation bias, and diffusion of responsibility may become significant problems. Keshar Muneshwar | Vaidehee Dhakate "Decision Logic Transfer from Users to AI Application" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101315.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101315/decision-logic-transfer-from-users-to-ai-application/keshar-muneshwar
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| Smart Grievances Portal | | Author : Akansha Doifode | Aradhana Rupnarayan | | Abstract | Full Text | Abstract :Efficient complaint resolution is vital for good governance and administration of services in both the public and the private sector. In traditional grievance management systems, the process tends to be manual, paper based, and lengthy, resulting in slow response time, inadequate tracking systems, limited transparency, and low consumer satisfaction. As a result of these challenges, there is a need for a more advanced technology based application that can be used to handle complaints in a structured, secure, and intelligent way. This research proposes the creation of a Smart Grievances Portal that integrates the use of automation, artificial intelligence AI , and natural language processing NLP to improve overall efficiency in the grievance management process. The proposed Smart Grievances Portal will allow users to secure registration, submit online complaints with attachments, and have access to a real time status update of their complaint via a dedicated dashboard. An AI based classification module will use text processing methods, such as tokenization and keyword identification, to analyze complaint descriptions and accurately categorize and prioritize them based on the results. The complaint will be routed to the appropriate department through an automated assignment process, minimizing the possibility of manual intervention and reducing the time taken to process the request. The portal will also include a priority management system that will allow for a quick turnaround on urgent complaints and provide a feedback mechanism for evaluating the quality of services provided and the satisfaction of users. The Smart Grievances Portal will utilize a centralized relational database management system RDBMS for all client data and complaint information to ensure that clients can have a single source for client data and complaints. Using a centralized relational database management system RDBMS to hold, manage, protect, and track data throughout the lifecycle of a complaint will create a structured way to store that data. Advanced reporting and analytic capabilities can then produce the data needed to make informed decisions about performance using statistical analysis as well as key performance indicators KPIs . Using secure mechanisms like encryption, role based access to information, and secure channels of communication, you will be able to protect the data contained within your complaint system while remaining compliant with laws regarding data confidentiality and privacy. The integration of intelligent technologies into grievance redressal systems has resulted in improved transparency, operational efficiencies, accountability, and increased citizen engagement. The Smart Grievances Portal is an example of how governments can begin their digital transformation of processes involved in delivering services via electronic means. Akansha Doifode | Aradhana Rupnarayan "Smart Grievances Portal" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101317.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101317/smart-grievances-portal/akansha-doifode
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| Stock Price Direction Prediction Using Technical Indicators | | Author : Shravani Shahakar | Shivani Dakhale | | Abstract | Full Text | Abstract :Predicting stock market prices is one of the most difficult and important areas of research in computer science, economics, and finance. The extensive availability of historical stock data and recent technologies that were developed to use artificial intelligence have caused a large increase in the number of machine learning techniques that usage in order to predict future stock prices. There are many different internal and external factors that will affect stock prices and thus, the volatility of stock prices on the stock market. Some of those factors include, but are not limited to, investor psychology, global events, economic policies, and company earnings. Traditional statistical analysis may not always identify nonlinear trends within financial time series data therefore, monetary indicators such as Moving Average Convergence Divergence, Relative Strength Index, and Moving Average will be used in conjunction with machine learning techniques to accurately predict whether prices will go up or down for stock prices. The data to train the different classifiers Support Vector Machine, Random Forest, Logistic Regression will come from past National Stock Exchange data. The accuracy and other classification model evaluation metrics Precision, Recall, F1 Score will be measured. Overall, ensemble classification techniques provide better prediction accuracy compared to other traditional techniques. Predicting the future stock price direction continues to be a strong challenge because financial markets are nonlinear, dynamic, and chaotic in basis. The development of additional historical stock price data and the use of artificial intelligence are enabling stock price prediction to be more widely adopted, through the use of machine learning. Because there are numerous internal and external factors that affect the volatility of the stock market i.e., investor sentiment, world events, economic policy, and firm performance , financial time series data often contains nonlinear trends that traditional statistical methodologies cannot detect. This study will suggest a way to determine whether stock prices have the probability of moving up or down by utilizing technical indicators such as MACD, RSI, and MA, along with machine learning algorithms. Financial data historical stock price data will be collected through the National Stock Exchange of India NSE to create a model to determine whether stock prices will continue moving up or move down. In order to create a model to determine the future movement of stock prices using machine learning algorithms, we will use three different types of algorithms, support vector machines SVM , logistic regression, and long short term memory LSTM networks, in order to categorize future stock price movements as either increasing or decreasing. Due to the highly dynamic, non linear, and volatile nature of financial markets, it has always been very difficult for investors and traders to accurately predict price movements in the stock market. However, accurate predictions regarding stock price movements, whether prices will rise or fall, are critical in risk management, portfolio optimization, and investment decisions. Shravani Shahakar | Shivani Dakhale "Stock Price Direction Prediction Using Technical Indicators" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101318.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101318/stock-price-direction-prediction-using-technical-indicators/shravani-shahakar
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| Global Silence Tracker What World is Not Talking About | | Author : Anushka Misal | Vaishnavi Shukla | | Abstract | Full Text | Abstract :Thats a question that any logical person has, but few say out loud Why does a human being require money to live on this world, when the world was already made with everything necessary for life All people are created the rich, with the same simple human needs for food, water, shelter and safety – yet current systems sort us into rich or poor powerful or powerless. Now, survival is defined not as merely a human quality but by having income, employment and economic value. This paper describes how this state of affairs came about and is maintained, and then shows how contemporary systems–such as the job, the rent, taxes, debt, and technology–while appearing to be necessary or simply being too big to fail work in no one’s interest, manufacturing lives implicitly entangled by social power. It does’t blame secretive groups or shadowy rulers. Instead, it describes how systems built by humans have evolved to become large enough that they now shape human life. The aim is to make clear this reality, in a clear language form so that anyone — even the young readers — would understand and start questioning whether it’s really fair having to pay just to live. Researchers have studied two main concepts which are very distinct the biological need for survival and the economic mediation through which humans survive. Survival is inherently tied to continuing existence by meeting basic physiological requirements. Throughout history, human communities have come together in ways that put priority on survival together as a collective. In the past, societies operated using cooperative systems relationships, labour sharing and communal • access to resources. Early forms of communities had the same level of hardship and conflict however, there were no forms of currency that were used as a means of exchanging resources for survival purposes. Resources were gathered and grown through the collective, thus resources were shared based on relationships among individuals in the community. The change from communal living to an economic system was a gradual process that was shaped by varying historical life altering events. The agricultural revolution was a pivotal point as the capacity to produce food and store a surplus made it possible to create new dynamics in regards to possession, ownership and authority. As a result, land as an asset became valuable the surplus produced from agricultural cultivation put in place hierarchical circumstances through which individuals were administered. The introduction of money further changed the way in which humans interacted within resource communities. Originally designed to facilitate currency exchange and as a means to reflect the value of the goods traded, money has transformed over centuries into the principal governing authority of society. Anushka Misal | Vaishnavi Shukla "Global Silence Tracker: What World is Not Talking About" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101319.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101319/global-silence-tracker-what-world-is-not-talking-about/anushka-misal
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| Performance Analysis of Recurrent Neural Network Models for Rainfall Prediction in India | | Author : Vajrang Khadatkar | Sarvadnya Yawalkar | | Abstract | Full Text | Abstract :Rainfall plays a crucial role in shaping agriculture, water resource planning, and disaster management, especially in countries like India where millions of livelihoods depend on the seasonal monsoon. Accurate rainfall forecasting is therefore of great importance, yet traditional statistical models often struggle to capture the highly non linear, uncertain, and time dependent nature of rainfall patterns. With the advancement of artificial intelligence, deep learning techniques such as Recurrent Neural Networks RNNs have emerged as promising alternatives for handling sequential climate data. In this project, five RNN based models—Simple RNN, Long Short Term Memory LSTM , Gated Recurrent Unit GRU , Bidirectional LSTM, and Stacked LSTM—were implemented and evaluated on India’s historical rainfall dataset covering the years 1901 to 2015. The dataset was preprocessed through normalization and transformed into time series sequences for effective learning. Each model was trained and compared using regression metrics such as Root Mean Squared Error RMSE and Mean Absolute Error MAE , along with confusion matrices to classify rainfall levels into categories. The experimental findings reveal that advanced architectures like Bidirectional LSTM and Stacked LSTM achieved superior accuracy compared to the baseline Simple RNN. These results highlight the strong potential of deep learning methods in improving rainfall forecasting and support their application in climate modeling and decision making for agriculture and disaster preparedness. Vajrang Khadatkar | Sarvadnya Yawalkar "Performance Analysis of Recurrent Neural Network Models for Rainfall Prediction in India" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101321.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101321/performance-analysis-of-recurrent-neural-network-models-for-rainfall-prediction-in-india/vajrang-khadatkar
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| Online Payment Fraud Cause and Prevention Technique | | Author : Suraj Charde | Kashish Kayate | | Abstract | Full Text | Abstract :Online fraudulent transactions are a significant criminal violation. Every it costs people and financial institutions billions of dollars. It emphasizes the crucial importance of financial institutions in detecting and preventing fraudulent acts. Machine learning algorithms provide a proactive way mechanism to prevent online transaction frauds with high accuracy. Online transaction fraud is a simple and easy target. E commerce and other online sites have increased the number of online payment methods, raising the danger of online fraud. With the rise in fraud rates, machine learning approaches can be used to identify and evaluate fraud in online transactions. The primary goal of this project is to implement supervised machine learning models for fraud detection, with the goal of analyzing prior transaction information. Where transactions are classified into distinct groups based on the type of transaction. Following that, various classifiers are trained independently, and models are assessed for correctness. The classifier with the highest rating score can then be picked as one of the best approaches for predicting fraud. We worked with the Kaggle Synthetic Financial Datasets for Fraud Detection dataset collected by Edgar Lopez Rojas. The use of technology and online shopping has gone up a lot and so has the use of online payment systems like credit cards, debit cards, mobile wallets and internet banking. This has given cybercriminals a chance to do things. People, businesses, and financial institutions think that payment fraud is a big problem. Things like phishing attacks, identity theft, fake websites and malware attacks cause people to lose money. In this research paper we will talk about why online payment fraud happens and look at kinds of online payment fraud. One big reason for payment fraud is that people who use the internet do not know enough about how to keep themselves safe from cyber attacks like phishing emails and suspicious links. Also not having enough security measures like passwords and networks makes it easy for cybercriminals to commit online payment fraud. The fact that we can now do things on our phones and online has made it even easier for cybercriminals to commit payment fraud. This has been a worry for people who use the internet for a long time. This paper will also talk about some ways to stop payment fraud like using multi factor authentication secure encryption techniques, tokenization, biometric authentication, and detection systems that use machine learning algorithms. Online payment fraud is a problem and online payment fraud can be stopped with the help of machine learning models that can look at transactions in real time and find anything suspicious. This way banks and other financial institutions can stop transactions before they cause a lot of damage. It is also very important for people to learn about payment security and get updates on the latest threats. The study found out that we need to use a combination of technology and awareness to stop payment fraud. If financial institutions use the security systems, they can reduce the risk of fraud and make people trust online payment systems more. This research helps us understand why online payment fraud happens and how we can stop it which makes the internet a safer place for people to do their finances. Suraj Charde | Kashish Kayate "Online Payment Fraud Cause and Prevention Technique" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101364.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101364/online-payment-fraud-cause-and-prevention-technique/suraj-charde
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| Email and SMS Spam Detection Using Machine Learning and Python | | Author : Kartik Chawre | Devanshu Patle | | Abstract | Full Text | Abstract :The development of internet based communication platforms has established new methods for people and organizations to share information through email and Short Message Service SMS communication. The expansion of these platforms has led to a substantial rise in unwanted messages which include advertising content and phishing links and deceptive schemes and malware files. The existence of these unwanted messages within the system functions as a major productivity hindrance because it wastes network resources while it builds severe risks against user privacy and data security. Current spam defense methods which use keyword detection and user created blacklists become ineffective when they encounter new types of spam that continuously change in structure and content. The traditional methods require ongoing manual updates because they cannot deliver correct results for changing situations. Machine learning enables organizations to develop systems which automatically learn from their existing data while building strong systems which can adapt to new challenges. This research establishes a complete Python based spam detection system in which textual data is first processed using data preprocessing techniques to remove unwanted elements and improve data quality. The cleansed text undergoes transformation into numerical representation through TF IDF feature extraction which prepares the data for supervised learning model training. The trained models can distinguish between spam and legitimate messages with high efficiency. The system uses standardized assessment methods to measure its performance which confirm its ability to operate successfully in real world situations while showing how machine learning works for instant spam detection 8 . Kartik Chawre | Devanshu Patle "Email and SMS Spam Detection Using Machine Learning and Python" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101322.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101322/email-and-sms-spam-detection-using-machine-learning-and-python/kartik-chawre
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| AI Driven Cyber Security | | Author : Chaitanya Bhute | Samiksha Sawarkar | | Abstract | Full Text | Abstract :In the future, intelligent machines will replace or enhance human capabilities in many areas. Artificial intelligence is the intelligence exhibited by machines or software. It is a subfield of computer science. Artificial intelligence is becoming a popular field in computer science as it has enhanced human life in many areas. Artificial intelligence in the last two decades has greatly improved the performance of the manufacturing and service sectors, as well as the field of education. Study in the field of artificial intelligence has given rise to the rapidly growing technology known as expert systems. Application areas of artificial intelligence are having a huge impact on various fields of life, as expert systems are widely used these days to solve complex problems in areas such as education, engineering, business, medicine, weather forecasting, etc. The areas employing artificial intelligence technology have seen an increase in quality and efficiency. This paper gives an overview of this technology and the scope of artificial intelligence in different areas, with special reference to the use of this technology in the field of education, along with its meaning, searching techniques, inventions, and future. Artificial intelligence AI is a powerful technology that helps cybersecurity teams automate repetitive tasks, accelerate threat detection and response, and improve the accuracy of their actions to strengthen the security posture against various security issues and cyberattacks. This article presents a systematic literature review and a detailed analysis of AI use cases for cybersecurity provisioning. The review resulted in 2395 studies, of which 236 were identified as primary. This article classifies the identified AI use cases based on the NIST cybersecurity framework using a thematic analysis approach. This classification framework will provide readers with a comprehensive overview of the potential of AI to improve cybersecurity in different contexts. The review also identifies future research opportunities in emerging cybersecurity application areas, advanced AI methods, data representation, and the development of new infrastructures for the successful adoption of AI based cybersecurity in today’s era of digital transformation and polycrisis. It is fundamental to comprehend digital protection and expertise to apply it in the cutting edge world, which is fueled by organizations and innovation. Without security, frameworks, essential records, information, and other pivotal virtual articles are powerless. In the same way, attackers do not fall behind as new technologies in cyber security emerge. They are employing more sophisticated hacking methods and focusing on the vulnerabilities of numerous companies. Since military, political, monetary, clinical, and corporate elements accumulate, use, and store immense measures of information on laptops and different gadgets, network safety is urgent. Delicate data, like monetary information, protected innovation, individual data, or different kinds of information for which unapproved access or colleague could raise ominous issues, can make up a sizeable portion of the data. Cybercrime is a type of criminal activity that involves the use of computers or other electronic devices and involves the use of a computer system as a tool, a target, or a place to store evidence of a criminal act. India has strict anti cybercrime laws in place, but the primary problem facing the nation is low public awareness. In order to prevent giving hackers the upper hand, those combating cybercrime. This research paper provides an overview of Indian cyber regulations, a list of different kinds of cyberattacks and cybersecurity, and an analysis of the state of cyber security in India today. Chaitanya Bhute | Samiksha Sawarkar "AI Driven Cyber Security" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101358.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101358/ai-driven-cyber-security/chaitanya-bhute
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| Building an ERP Based Integrated Student Management System Website Using React, Node.js, HTML, CSS, and AWS Cloud | | Author : Vedant Gadkari | Chaitanya Karole | | Abstract | Full Text | Abstract :Enterprise Resource Planning ERP systems have become essential tools for managing organizational resources and processes in both business and educational environments. The development and deployment of student management systems have become more practical and scalable for institutions through the introduction of cloud technologies which incorporate frameworks like React and Node.js. This research paper explores the process of building a website for an ERP based integrated student management system using these technologies and deploying it on the Amazon Web Services AWS cloud. The paper examines how ERP systems transform through modernization and cloud implementation which affects their architectural design and operational execution. The study analyzes how user experience data security and operational efficiency are impacted by current standards in ERP and cloud computing and web application development. The system connects different institutional modules through its main function which handles student enrollment and attendance tracking and examination management and fee processing and role based dashboard access. The three tier architectural model separates presentation application and data layers which leads to better system maintenance and scalability 1 The system uses security measures which include role based access control and encrypted communication and secure authentication protocols to safeguard sensitive academic information. With the rapid expansion of digital education ecosystems, scalable and secure management systems have become essential for institutional governance. This research presents a cloud native ERP Based Student Management System designed using modern full stack technologies. The frontend is developed using React, while backend services are implemented using Node.js and RESTful APIs. The system is deployed on Amazon Web Services to leverage infrastructure scalability, high availability, and automated backups. A three tier architecture ensures modular design and maintainability. The system incorporates role based access control and encrypted communication mechanisms to enhance data security. Experimental results indicate that the cloud based ERP model provides improved scalability, reduced infrastructure cost, and better performance under concurrent user loads. The study demonstrates that cloud computing significantly enhances the effectiveness of ERP systems in educational institutions 2 . Vedant Gadkari | Chaitanya Karole "Building an ERP-Based Integrated Student Management System Website Using React, Node.js, HTML, CSS, and AWS Cloud" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101323.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101323/building-an-erpbased-integrated-student-management-system-website-using-react-nodejs-html-css-and-aws-cloud/vedant-gadkari
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| Crypto Currency | | Author : Anushk Banwari | Mithul Manoj | | Abstract | Full Text | Abstract :Cryptocurrency stands as the most transformative financial innovation which the digital era has produced. The blockchain technology that underlies cryptocurrencies enables users to conduct direct transactions without needing to depend on financial institutions which include banks and government entities. The global cryptocurrency ecosystem has expanded its reach since Bitcoin launched in 2009 because the system has introduced thousands of new digital currencies and decentralized financial technologies. This research paper investigates the technological foundations which support cryptocurrencies through its analysis of consensus protocols and blockchain systems and cryptographic security protocols. The system assesses which financial benefits of cryptocurrency usage create difficulties for users. The academic literature review showed that cryptocurrencies provide three main advantages which include financial access and safe transactions and transparent records but these advantages have three main disadvantages because they create scalability problems and cybersecurity threats and regulatory uncertainty and environmental challenges. The research found that cryptocurrency functions as a vital force which transforms worldwide financial systems and blockchain technology according to environmental research which used qualitative research methods. The three tier architectural model separates presentation application and data layers which leads to better system maintenance and scalability 1 . Anushk Banwari | Mithul Manoj "Crypto Currency" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101324.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101324/crypto-currency/anushk-banwari
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| AI Voice Command Assistant ZEUS | | Author : Apeksha Raut | Minal Borkar | | Abstract | Full Text | Abstract :An Artificial Intelligence AI Voice Command Assistant 1 , is an intelligent software system designed to interact with users through spoken language, enabling hands free operation and natural communication between humans and machines. The primary objective of an AI voice command assistant is to understand user voice inputs, process them using advanced AI techniques, and generate accurate and meaningful responses or perform specific tasks. 2 With the rapid advancement of Artificial Intelligence, Machine Learning, and Natural Language Processing NLP , voice command assistants have become an integral part of modern computing systems and smart devices. The AI voice command assistant works by capturing voice input through a microphone and converting it into digital signals. These signals are processed using speech recognition algorithms 3 , that transform spoken language into text 4 . The converted text is then analysed using Natural Language Processing techniques 5 , to understand the user’s intent, context, and command structure 6 . Based on this analysis, the system determines the appropriate action, such as answering a question, searching for information, controlling system applications, setting reminders, playing music, or managing smart devices. Finally, the response is delivered back to the user either in text form or as synthesized speech using text to speech technology. This project emphasizes the use of AI models and machine learning algorithms to improve accuracy 14 , adaptability, and personalization. Over time, the assistant can learn from user interactions, preferences, and behaviour patterns to provide more relevant and efficient responses. The system can be integrated with various platforms such as desktop applications, mobile devices, and Internet of Things IoT environments 7 , making it highly versatile. Security and privacy considerations are also taken into account to ensure safe handling of voice data and user information 9 . The AI Voice Command Assistant has wide ranging applications in daily life, including personal productivity, education, healthcare, customer support, and smart home automation. It helps reduce manual effort, increases accessibility for physically challenged users, and enhances user experience through quick and intuitive interaction. Overall, this project demonstrates how AI driven voice interfaces can bridge the gap between humans and technology, offering a smarter, more efficient, and user friendly way to interact with digital systems. Apeksha Raut | Minal Borkar "AI Voice Command Assistant (ZEUS)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101355.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101355/ai-voice-command-assistant-zeus/apeksha-raut
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| Digital Literacy and Cybersecurity Awareness among Senior Citizens | | Author : Kashish Mendhe | Suhani Kumeriya | | Abstract | Full Text | Abstract :The way people get information talk to each other. Do financial things has changed a lot because of digital technologies. Governments, businesses and people who provide services are using platforms more and more to give people important services like banking, healthcare and social welfare programs. These new technologies have a lot of things about them but they also make things hard for some groups of people especially older people. So it is very important that older people know how to use technologies safely and understand how to protect themselves from cyber threats. Older people often have trouble understanding and using technologies, which makes them more likely to be victims of cyber threats like online fraud, identity theft and phishing scams. Digital literacy is the ability to use technologies like computers, smartphones and the internet. It includes skills like navigating platforms talking to people through digital tools managing online information and understanding how to stay safe online. For people digital literacy is not just about technology it is also about being part of society and being independent. Many services like banking paying bills and getting care are moving online so digital literacy helps older people take care of themselves and be part of society. However many older people struggle with technologies because they do not have much experience with them they do not get enough training they have cognitive challenges or they are afraid of making mistakes. These things contribute to a difference between younger and older people when it comes to digital technologies. One of the concerns about older people using digital technologies is cybersecurity. Cybersecurity is the protection of devices, networks and personal information from cyber threats like hacking, phishing and financial fraud. Older people are often seen as one of the vulnerable groups in cyberspace because they may not know much about online risks and safe digital practices. Cybercriminals often target people through fake emails, fake investment schemes and fraudulent phone calls. These scams often take advantage of peoples trusting nature or their limited knowledge of digital communication. In some cases cybercriminals create a sense of urgency or fear which convinces victims to give out information or send money. These attacks can result in financial losses and emotional distress for older victims. Another challenge that affects cybersecurity awareness among people is the lack of knowledge about protective measures like creating strong passwords using two factor authentication, safe browsing practices and recognizing phishing attempts. Many older people use devices mainly to talk to family members or do basic tasks like messaging and browsing. As a result they may not fully understand the risks that come with online activities. A study done in India found that peoples limited knowledge of cybersecurity practices makes them more vulnerable to financial scams and identity theft. The study also showed that experiences of cyber fraud can lead to stress and reduced confidence in using technologies, among older people. Digital literacy and cybersecurity awareness are very important for older people to safely use technologies and protect themselves from cyber threats. Older people need to know how to use technologies and how to stay safe online to maintain their autonomy and participate actively in society. Kashish Mendhe | Suhani Kumeriya "Digital Literacy & Cybersecurity Awareness among Senior Citizens" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101362.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101362/digital-literacy-and-cybersecurity-awareness-among-senior-citizens/kashish-mendhe
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| Student Performance and Behavioural Analytics System Using Power BI for Academic Decision Support | | Author : Yoshit Bhojwani | Sarvi Khotele | | Abstract | Full Text | Abstract :Student performance evaluation in traditional academic environments primarily relies on final examination results and periodic assessments. However, such approaches often overlook behavioral and continuous performance indicators such as attendance consistency, assignment submission patterns, internal assessment progression, and classroom participation metrics. The integration of data analytics within academic institutions enables systematic monitoring, predictive evaluation, and data driven academic decision making. This study presents a comprehensive analytical framework for the development of a Student Performance and Behavioral Analytics System using Microsoft Power BI as a business intelligence platform. The proposed system integrates structured academic datasets including attendance records, internal examination scores, assignment completion rates, and final semester results into an interactive dashboard architecture. By leveraging data transformation tools, calculated measures, relational modeling, and visualization components, the system enables multidimensional analysis of student performance trends. Statistical correlation modeling is applied to evaluate relationships between attendance percentage and final academic outcomes, while categorical classification algorithms segment students into high performing, average performing, and at risk groups. The research further analyzes system scalability, usability efficiency, and real time dashboard responsiveness within institutional environments. Findings indicate that visual analytics significantly enhances faculty monitoring capabilities, reduces manual evaluation time, and supports early academic intervention strategies. Although the system improves transparency and monitoring efficiency, challenges related to data accuracy, integration with legacy academic systems, and user training remain relevant considerations. Overall, the proposed analytics framework demonstrates the transformative potential of business intelligence tools in modern educational ecosystems. Yoshit Bhojwani | Sarvi Khotele "Student Performance & Behavioural Analytics System Using Power BI for Academic Decision Support" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101356.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101356/student-performance-and-behavioural-analytics-system-using-power-bi-for-academic-decision-support/yoshit-bhojwani
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| AI Chatbots as Virtual Tutors A Study | | Author : Darshan Dakhale | Shubhrato Kawale | | Abstract | Full Text | Abstract :The rapid advancement of Artificial Intelligence has introduced significant transformations across multiple sectors, with education being one of the most impacted domains. In recent years, AI driven systems have evolved from simple automation tools to intelligent platforms capable of supporting complex human activities such as teaching and learning. Among these innovations, AI chatbots have emerged as virtual tutors that can simulate human like interaction and provide continuous academic assistance. These systems are increasingly being integrated into digital learning environments to enhance accessibility and improve the overall quality of education. Traditional education systems often rely on standardized teaching methods that may not effectively address the diverse learning needs of students. In many cases, learners experience delays in receiving feedback, limited interaction outside classroom hours, and a lack of personalized attention. These limitations can negatively affect student engagement and academic performance. AI chatbots offer a practical solution by providing instant responses, personalized guidance, and continuous support, thereby creating a more flexible and adaptive learning environment. AI chatbots operate using advanced technologies such as Natural Language Processing and Machine Learning, which enable them to understand user queries and generate meaningful responses. These systems are capable of analyzing student behavior, identifying learning patterns, and adapting their responses accordingly. As a result, they can provide customized learning experiences that cater to individual student requirements. This ability to deliver personalized support plays a crucial role in improving student understanding and retention of knowledge. The application of AI chatbots in education extends beyond basic question answering systems. They can assist in various academic activities, including concept explanation, assignment support, and performance evaluation. Additionally, chatbots can be integrated into e learning platforms to provide real time feedback and interactive learning experiences. Their scalability allows them to support a large number of students simultaneously, making them suitable for modern educational systems that require efficient and cost effective solutions. Despite their advantages, AI chatbots also present certain challenges that need to be addressed. These systems depend on pre trained data and algorithms, which may limit their ability to handle complex or ambiguous queries. Furthermore, chatbots lack emotional intelligence and cannot fully replicate the human aspects of teaching, such as empathy and motivation. These limitations highlight the importance of combining AI technologies with human expertise to create a balanced and effective learning system. This study aims to explore the role of AI chatbots as virtual tutors by analyzing their applications, benefits, and limitations within educational environments. The research also examines how these systems contribute to improving learning efficiency, accessibility, and student engagement. The findings suggest that while AI chatbots cannot completely replace human educators, they serve as valuable tools that enhance the learning process and support the ongoing digital transformation of education. Darshan Dakhale | Shubhrato Kawale "AI Chatbots as Virtual Tutors: A Study" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101368.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101368/ai-chatbots-as-virtual-tutors-a-study/darshan-dakhale
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| IoT Based Heart Disease Prediction | | Author : Bhushan Raut | Jayash Sawrkar | | Abstract | Full Text | Abstract :Heart disease is one of the serious health problems faced by many people today. Every year a large number of deaths happen because heart related problems are not detected at the right time. In many cases patients come to know about their condition only when the problem becomes severe. Because of this, regular monitoring of heart health has become very important. With the help of new technologies like Internet of Things IoT , it is now possible to collect health information from patients and monitor their condition continuously. The main idea of this work is to develop an IoT based system that can help in predicting heart disease by monitoring different health parameters of a person. In this system, sensors are used to measure important body values such as heart rate, body temperature, blood pressure and other related parameters. These sensors are connected with a microcontroller device which collects the data from the patient. The collected information is then sent to an online server or cloud platform through the internet. After storing the data, it can be analy to check whether the health parameters are normal or not. If any unusual change is found in the values, the system can indicate that the person may have a risk of heart related problems. In such cases, alerts can be sent to the doctor or caregiver so that proper medical attention can be given. This kind of system helps in early identification of possible health issues. Another benefit of the system is that it allows remote monitoring. Doctors can check the patient’s health data from different locations without the need for the patient to visit the hospital frequently. This can be helpful for elderly people and patients who need regular health observation. Continuous monitoring also helps in keeping a record of the patient’s health condition over a period of time, which can be useful for medical analysis. The proposed IoT based heart disease prediction system is designed to be simple and affordable so that it can be used easily in healthcare environments. By using connected devices and data monitoring, the system can support early detection of heart problems and help doctors make better decisions. In the long run, such systems can improve patient care and reduce the risk of serious heart complications. One of the major advantages of this system is remote monitoring capability, which allows doctors to access patient data from any location without requiring frequent hospital visits. This feature is especially beneficial for elderly patients, individuals with chronic conditions, and those living in remote areas. Continuous data recording also helps in maintaining a comprehensive health history, which can support better diagnosis and long term medical analysis. The collected data is transmitted to a cloud based platform via the internet, where it is securely stored and analyzed using predefined threshold values and predictive techniques. By evaluating the monitored parameters, the system can identify abnormal patterns that may indicate a risk of heart disease. If any irregularities are detected, automated alerts are generated and sent to healthcare professionals or caregivers, enabling timely medical intervention. The proposed IoT based heart disease prediction system is designed to be cost effective, user friendly, and scalable for practical healthcare applications. By combining sensor technology, cloud computing, and intelligent data analysis, the system aims to enhance early detection, improve patient care, and reduce the overall burden of cardiovascular diseases. In the long term, such smart healthcare solutions can contribute significantly to preventive medicine and efficient healthcare management. Bhushan Raut | Jayash Sawrkar "IoT Based Heart Disease Prediction" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101369.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101369/iot-based-heart-disease-prediction/bhushan-raut
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| Microservice and Cloud Path Performance Analysis of Java Based Microservices | | Author : Rohit Nagfase | Pintu Mahto | | Abstract | Full Text | Abstract :Microservices architecture has changed the way we develop software. It allows us to make our systems bigger or smaller as needed and we can update each part of the system without affecting the parts. A lot of people use Java to build microservices with a tool called Spring Boot for applications that are used on the cloud. Sometimes these systems can be slow or use too many resources, which can cause problems. This study looks at how Java based microservices work when they are used on the cloud. We look at things like how it takes for the system to respond how much work it can handle and how much memory and CPU it uses. We also look at how it takes for data to travel over the network. We compare two ways that services can talk to each other one way is like having a conversation, where one person talks and then the other person responds and the other way is like sending a message, where one person sends a message and then the other person responds when they can. We also look at how using containers and automatically adding or removing resources affects the system. The results of our study help us understand what can cause problems in the system and how we can make it work better. We focus on Java based microservices that are used on the cloud. We want to know how things, like how the system is designed and how it is set up affect how well it works when it is being used a lot. We look at things like how long it takes for the system to respond how much work it can handle and how much memory and CPU it uses. We use Spring Boot to build our microservices. We use containers, like Docker to run them. We also use tools to help us manage the containers. We test the system with a medium and large number of users to see how it works under different conditions. We compare the two ways that services can talk to each other to see which one works better. What we found out is that microservices can be very good because they can be scaled up or down as needed and they can help prevent problems from spreading to parts of the system. If we break the system into too many small parts and have them talk to each other in a way that is like having a conversation it can cause delays and use too many resources. On the hand if we use the other way of talking, where one service sends a message to another service and then the second service responds when it can it can help the system work better and prevent problems when a lot of users are using it. Rohit Nagfase | Pintu Mahto "Microservice & Cloud Path Performance Analysis of Java Based Microservices" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101357.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101357/microservice-and-cloud-path-performance-analysis-of-java-based-microservices/rohit-nagfase
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| Law and Morality in the Age of Artificial Intelligence | | Author : Ayush Kharbade | Milind Behaniya | | Abstract | Full Text | Abstract :The Artificial Intelligence is changing our world fast 1 . It helps us make decisions in areas like government, healthcare, police and business 2 . These Artificial Intelligence systems are good because they are efficient, accurate and can handle a lot of work. As the Artificial Intelligence becomes more independent we need to think about some issues. We have to consider the law. What is right and wrong. This research looks at how our current lawsre struggling to keep up with new Artificial Intelligence technologies. It asks if laws alone can control Artificial Intelligence or if we also need to think about whats morally right. The research examines problems like algorithms, unknown decision making processes, private information safety and lack of control over machine made decisions. The paper also explores whos responsible for ensuring Artificial Intelligence is used in a way. This includes people who create Artificial Intelligence companies that use it and governments that regulate it. They all must ensure Artificial Intelligence is fair just and respects dignity. The research looks at what other countriesre doing to regulate Artificial Intelligence and suggests we need a system that combines laws with moral principles. The paper says we need a system that prioritizes values and ensures Artificial Intelligence benefits people. We must ensure that as technology improves we dont forget whats important to us, as humans. Artificial Intelligence must be controlled in an fair way so we can keep making progress without harming our basic values and laws. The Artificial Intelligence systems should be designed to make our lives better. We should make sure that Artificial Intelligence helps us not hurts us. The people who make Artificial Intelligence the companies that use Artificial Intelligence and the governments that regulate Artificial Intelligence all have a role to play in making sure Artificial Intelligence is used in a way. Ayush Kharbade | Milind Behaniya "Law and Morality in the Age of Artificial Intelligence" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101359.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101359/law-and-morality-in-the-age-of-artificial-intelligence/ayush-kharbade
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| How Young Creators Use Social Media Content to Build their Personal Brand | | Author : Shival Mehere | Kalpesh Rakhade | | Abstract | Full Text | Abstract :Nowadays, youth turn to sites like Instagram, YouTube, Facebook, and TikTok to express themselves and connect with others, because these spaces support both creativity and conversation 1 , 18 . Instead of simply posting for fun, more young users shape how they appear online by sharing skills, opinions, and stories—therefore building visibility over time 3 , 7 . As engagement grows, so does awareness of image presenting consistently becomes less accidental and more deliberate 11 . Behind every curated feed or repeated theme lies an effort to stand out while staying authentic 4 , 5 . That intentional presence, formed across posts and interactions, reflects what some call personal branding 12 , 15 .What people think about someone online often comes down to how that person shows up across platforms 3 . A steady flow of posts lets younger creators express what they do well, along with passions and quirks 2 . Whether it is photos, short films, teaching tips, outfits, game clips, or daily routines, each post adds up. Slowly but surely, viewers start linking certain names with particular talents or topics 6 . Recognition grows—not overnight—through repetition and clarity. That connection between creator and niche becomes the core of who they are known as online 7 .What matters most is how people create for social platforms. Those posting consistently tend to grow an audience when material feels interesting or worth attention 9 , 10 . Creativity shows up in unique visuals, personal narratives, and original ideas—each shaping whether posts succeed. Reactions like replies, likes, and resharing signal connection beyond mere numbers 6 . Relationships form slowly through these small exchanges online 8 . Trust builds not instantly, but over time, alongside standing within digital circles 13 .Growth often comes through unexpected paths—social platforms now serve as spaces where skill meets visibility 14 . A single post might lead to collaboration offers, bypassing traditional job markets entirely. Some individuals shift from casual posting to earning income simply by staying consistent 10 . Authenticity tends to attract attention more than polish does 5 . Opportunities arrive quietly an inquiry here, a project there. Passion projects sometimes evolve without announcement into sustainable work. Visibility builds gradually when effort aligns with genuine expression 15 . This paper looks into ways young people shape their personal brand through making content online. Through regular updates and unique visuals, one sees how an individual begins standing out 3 . With interaction guiding feedback loops, presence grows more distinct over time 6 . Often overlooked, the role of digital platforms becomes clear when tracking growth patterns across months 19 , 20 . Behind steady visibility lies effort tied to expression, confidence, and discovery. Shival Mehere | Kalpesh Rakhade "How Young Creators Use Social Media Content to Build their Personal Brand" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101360.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101360/how-young-creators-use-social-media-content-to-build-their-personal-brand/shival-mehere
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| Deepfake Voice and Scam Call Detector | | Author : Shubham Gale | Nirmal Poreddiwar | | Abstract | Full Text | Abstract :The landscape of voice security in 2026 has evolved into a sophisticated hybrid ecosystem where Deepfake Voice and Scam Call Detectors operate through a dual layered defense of algorithmic precision and human intuition. On the technical front, modern detectors like Pindrop Pulse and Reality Defender utilize liveness detection to scan for microscopic digital artifacts—such as spectral gaps, unnatural robotic prosody, and the absence of biological breathing patterns—that are invisible to the human ear. These systems are now being integrated directly into carrier networks and smartphone operating systems, providing a real time Trust Score for incoming calls. By leveraging the C2PA standard, which acts as a digital watermark for authentic media, these tools can instantly flag unverified synthetic audio, creating a formidable technological shield against the initial wave of automated AI phishing and high fidelity voice cloning. However, as AI models become more adept at mimicking human imperfections, the final and most critical line of defense remains Human Centric Analysis. This approach moves beyond simple audio scanning to focus on Social Engineering detection, where users are trained to identify the psychological red flags of a scam—such as manufactured urgency, requests for sensitive data, or subtle latencies in response time during a conversation. Human in the loop protocols involve Challenge Response tests, where the recipient asks the caller to recall a specific, un indexed personal memory or use a pre arranged family safe word. Because 2026 generative models still struggle with the high cognitive load of unexpected, non linear interruptions, this human intervention creates a stress test for the AI. Ultimately, the most resilient security posture is one that treats the detector’s data as a warning signal but relies on human verification and behavioral skepticism to confirm the callers true identity. The proliferation of generative adversarial networks GANs has facilitated the rise of high fidelity voice cloning, enabling sophisticated vishing attacks that bypass traditional biometric and metadata based security. This paper presents a dual layered detection framework designed to identify deepfake audio and fraudulent intent in real time telecommunications. The primary layer utilizes Mel Frequency Cepstral Coefficients MFCCs and Constant Q Transform CQT features to detect subtle spectral anomalies and phase inconsistencies inherent in synthetic speech. These features are processed through a Lightweight Convolutional Neural Network LCNN optimized for low latency mobile environments. To supplement acoustic analysis, a secondary Natural Language Processing NLP module employs a Bidirectional Encoder Representations from Transformers BERT model to analyze live transcripts for linguistic markers of social engineering and urgency. Experimental evaluation on the ASVspoof 2019 2021 datasets demonstrates that the proposed hybrid approach achieves a significantly lower Equal Error Rate EER compared to baseline models. The results indicate that integrating acoustic forensics with intent analysis provides a robust defense mechanism against the evolving landscape of AI driven telecommunication fraud. Shubham Gale | Nirmal Poreddiwar "Deepfake Voice and Scam Call Detector" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101361.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101361/deepfake-voice-and-scam-call-detector/shubham-gale
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| Data Mining in Business Analytics | | Author : Hemant Tonpe | Vedant Morey | | Abstract | Full Text | Abstract :In the modern digital economy, organizations generate massive amounts of data from transactions, customer interactions, social media, and enterprise systems. Extracting meaningful insights from this data is essential for effective decision making. Data mining plays a critical role in business analytics by identifying patterns, trends, and relationships within large datasets. This research paper examines the application of data mining techniques in business analytics and how organizations use these techniques to improve decision making, customer relationship management, operational efficiency, and competitive advantage. The study also highlights common data mining methods such as classification, clustering, association rule mining, and predictive modeling. The findings suggest that integrating data mining with business analytics enables organizations to transform raw data into valuable knowledge for strategic planning and business growth. Data mining refers to the process of discovering hidden patterns, correlations, trends, and useful information from large datasets using techniques from statistics, machine learning, and database systems. When integrated with business analytics, data mining enables organizations to transform raw data into valuable knowledge that can support strategic planning and operational improvements. Businesses use these techniques to understand customer behavior, optimize internal processes, forecast market trends, and gain a competitive advantage in rapidly changing markets. This research paper explores the role and importance of data mining in the field of business analytics. The study discusses major data mining techniques such as classification, clustering, association rule mining, and predictive modeling. These techniques are widely used by organizations to analyze historical data and generate predictive insights that assist in making informed business decisions. The paper also highlights how different industries apply data mining methods to improve efficiency, reduce operational risks, and enhance customer satisfaction. The findings of this study indicate that integrating data mining with business analytics significantly improves organizational decision making, operational efficiency, and customer relationship management. However, challenges such as data privacy concerns, data quality issues, and the need for skilled professionals remain important considerations. Overall, the research concludes that data mining plays a vital role in transforming data into actionable knowledge and will continue to be a key component of modern data driven business strategies. Furthermore, the research analyzes practical applications of data mining in sectors such as retail, banking, e commerce, and telecommunications. For example, retailers use customer purchase data to identify buying patterns and design personalized marketing campaigns, while financial institutions apply predictive models to detect fraudulent activities and manage credit risk. Similarly, e commerce platforms utilize recommendation systems to suggest products to users based on their previous behavior and preferences. Hemant Tonpe | Vedant Morey "Data Mining in Business Analytics" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101363.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101363/data-mining-in-business-analytics/hemant-tonpe
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| Search Engine Optimization Techniques for Websites | | Author : Shreeyash Kayarkar | Nikhil Humane | | Abstract | Full Text | Abstract :Search Engine Optimization SEO has become an essential digital marketing strategy for improving the visibility, accessibility, and ranking of websites on search engines such as Google, Bing, and Yahoo. With the rapid growth of internet users and online businesses, competition for online visibility has significantly increased. As a result, organizations and website owners must implement effective SEO techniques to ensure that their websites appear in the top results of search engine results pages SERPs . This research focuses on analyzing the major SEO techniques used to improve website ranking, increase organic traffic, and enhance user engagement. SEO refers to the process of optimizing a website’s structure, content, and external signals to make it more understandable and valuable to search engines. The primary objective of SEO is to attract organic non paid traffic from search engines by improving the relevance and authority of a website. Over time, search engine algorithms have evolved to become more sophisticated, focusing not only on keywords but also on user experience, page quality, and relevance. Search engines like Google use complex ranking algorithms that evaluate hundreds of factors, including keyword usage, page speed, backlinks, mobile responsiveness, and content quality. This study highlights the main categories of SEO techniques On Page SEO, Off Page SEO, and Technical SEO. On Page SEO involves optimizing elements within a website such as titles, meta descriptions, headings, keyword placement, and high quality content. Proper keyword research and placement help search engines understand the topic and relevance of a webpage. Additionally, optimizing images, internal linking, and creating user friendly URLs contribute to better website performance and improved search rankings. High quality and informative content remains one of the most important factors in modern SEO strategies. Off Page SEO focuses on activities conducted outside the website to improve its authority and credibility. One of the most important off page techniques is link building, where reputable websites link back to the target website. Backlinks act as votes of trust for search engines, signaling that the website provides valuable and reliable information. Social media marketing, influencer outreach, guest blogging, and brand mentions also contribute to off page SEO by increasing a website’s online presence and credibility. Technical SEO plays a crucial role in ensuring that search engines can efficiently crawl and index website pages. Technical aspects include improving website speed, implementing secure protocols HTTPS , optimizing site architecture, creating XML sitemaps, and ensuring mobile friendliness. With the growing use of smartphones, search engines now prioritize mobile optimized websites. Tools such as Screaming Frog SEO Spider and Google Search Console are widely used by SEO professionals to analyze technical issues and monitor website performance. Shreeyash Kayarkar | Nikhil Humane "Search Engine Optimization Techniques for Websites" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101365.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101365/search-engine-optimization-techniques-for-websites/shreeyash-kayarkar
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| AI Based Chatbots for Customer Service | | Author : Sahil Umre | Os Niranjane | | Abstract | Full Text | Abstract :Artificial Intelligence AI has transformed many aspects of modern business operations, particularly in the field of customer service. One of the most significant innovations is the development of AI based chatbots, which are intelligent software programs designed to simulate human conversation and assist users through text or voice interfaces. These chatbots are increasingly used by organizations to automate customer interactions, provide instant responses, and improve service efficiency. With the rapid growth of digital communication platforms and increasing customer expectations for quick support, AI based chatbots have become an essential tool for enhancing customer service experiences. AI based chatbots operate using advanced technologies such as Natural Language Processing NLP , Machine Learning ML , and conversational AI. NLP enables chatbots to understand human language, interpret customer queries, and generate meaningful responses in a conversational manner. Machine learning allows chatbots to learn from past interactions and continuously improve their responses over time. These technologies work together to enable chatbots to process large volumes of customer requests efficiently while providing accurate and relevant solutions. The adoption of AI chatbots in customer service has increased significantly across industries such as ecommerce, banking, telecommunications, healthcare, and travel. Businesses use chatbots to handle common tasks such as answering frequently asked questions, providing product information, tracking orders, scheduling appointments, and troubleshooting technical issues. By automating these repetitive tasks, chatbots reduce the workload of human customer service agents and allow them to focus on more complex or sensitive issues that require human judgment and empathy. Sahil Umre | Os Niranjane "AI-Based Chatbots for Customer Service" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101366.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101366/aibased-chatbots-for-customer-service/sahil-umre
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| Cloud Computing Security | | Author : Trupti Gautam | Ayushi Bisane | | Abstract | Full Text | Abstract :Cloud computing has transformed the way organizations store, process, and manage data by providing scalable, flexible, and cost effective computing resources through the internet. Major cloud service providers such as Amazon Web Services, Microsoft, and Google offer platforms that allow businesses to deploy applications and infrastructure without maintaining physical hardware. Despite these advantages, cloud computing introduces several security challenges that must be addressed to ensure the confidentiality, integrity, and availability of data. Cloud computing security refers to the set of policies, technologies, and controls implemented to protect data, applications, and cloud infrastructure from cyber threats and unauthorized access. One of the major reasons organizations adopt cloud computing is the ability to access data and services remotely through the internet. However, this convenience also exposes systems to various cyber risks. Cyber attackers often attempt to exploit vulnerabilities in cloud environments to steal sensitive information or disrupt services. Data breaches, account hijacking, insecure interfaces, and misconfigured cloud settings are some of the most common security issues associated with cloud platforms. As organizations increasingly migrate their operations to the cloud, the need for strong security frameworks and best practices becomes critical. Cloud computing security operates under a shared responsibility model, where both the cloud service provider and the customer share responsibility for maintaining security. The service provider is responsible for securing the underlying infrastructure such as servers, storage systems, and networking components. On the other hand, the customer is responsible for protecting applications, data, user access, and configurations within the cloud environment. Understanding this shared responsibility model is essential to prevent security gaps and ensure proper protection of resources. Cloud services are generally categorized into three major models Infrastructure as a Service IaaS , Platform as a Service PaaS , and Software as a Service SaaS . Each model has its own security considerations. In IaaS environments, users have more control over the operating system and applications, which means they are responsible for securing those components. In PaaS, the cloud provider manages more of the underlying infrastructure, while the user focuses mainly on application security. In SaaS models, the provider manages almost everything, but users must still ensure secure access and proper data handling practices. Therefore, security strategies must be tailored according to the specific cloud service model being used. Another important aspect of cloud computing security is data protection. Organizations store large amounts of sensitive data in cloud environments, including personal information, financial records, and confidential business documents. To prevent unauthorized access, various security mechanisms such as encryption, identity and access management IAM , and multi factor authentication MFA are used. Encryption protects data by converting it into unreadable formats that can only be accessed using authorized keys. IAM systems control who can access specific resources, while MFA adds an extra layer of authentication beyond simple passwords. Trupti Gautam | Ayushi Bisane "Cloud Computing Security" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101367.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101367/cloud-computing-security/trupti-gautam
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| Role of Generative AI in Education Systems | | Author : Akshay Wadatkar | Prem Turkar | | Abstract | Full Text | Abstract :Education plays a fundamental role in shaping knowledge, skills, and innovation within society. It serves as the foundation for personal development and economic growth. However, traditional teaching methodologies often rely on standardized content delivery, limited personalization, and manual assessment processes. These conventional approaches fail to address the diverse learning needs of students, leading to reduced engagement, slower learning progress, and inefficiencies in academic administration. As a result, there is a growing need for more adaptive and intelligent educational systems. With the rapid advancement of artificial intelligence, Generative AI has emerged as a transformative technology capable of redefining educational practices. Unlike traditional systems, Generative AI can produce human like content such as text, images, code, and simulations. This capability allows it to support dynamic and interactive learning environments, making education more engaging and accessible. The integration of AI technologies into education systems has opened new opportunities for enhancing both teaching and learning experiences. In the educational context, Generative AI enables personalized learning by adapting content according to individual student needs, preferences, and performance levels. It can generate customized study materials, provide intelligent tutoring support, and deliver real time feedback. These features help students understand complex concepts more effectively while allowing them to learn at their own pace. Additionally, AI powered systems can automate content creation and assessment processes, reducing the workload on educators and improving overall efficiency. Another significant advantage of Generative AI is its ability to enhance assessment and evaluation mechanisms. Traditional assessment methods often require considerable time and effort, whereas AI based systems can evaluate student performance instantly and accurately. These systems can also identify learning gaps and recommend targeted improvements, contributing to continuous learning development. Furthermore, the use of AI driven analytics provides valuable insights into student behavior and performance trends, enabling data driven decision making in education. Despite its numerous benefits, the implementation of Generative AI in education also presents several challenges. Ethical concerns such as data privacy, algorithmic bias, and transparency in AI decision making must be carefully addressed. There is also a risk of over reliance on technology, which may impact critical thinking and creativity among students. Therefore, it is essential to ensure that AI systems are designed and implemented responsibly, with appropriate safeguards and regulations. Akshay Wadatkar | Prem Turkar "Role of Generative AI in Education Systems" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101371.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101371/role-of-generative-ai-in-education-systems/akshay-wadatkar
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| A Secure Communication Model for Low Power IOT Networks | | Author : Srushti Wanjari | Himani Kubade | | Abstract | Full Text | Abstract :The Internet of Things IoT explosive expansion has led to the deployment of a large number of low power, resource constrained devices in smart cities, smart healthcare, and industrial automation. Because of their low energy, computing power, and memory, these devices still face substantial challenges in guaranteeing secure connection. For such contexts, traditional security measures are frequently excessively complicated and energy intensive. The secure communication paradigm proposed in this paper is especially made for ultra low power Internet of Things networks. To guarantee the secrecy, integrity, and authenticity of data, the technique uses mutual authentication, elliptic curve cryptography based key distribution, and lightweight symmetric encryption. In order to balance security and energy efficiency, an adaptive security system also dynamically modifies protection levels according to device capability and data sensitivity. According to simulation results, the suggested approach preserves scalability and reliability for low cost IoT installations while lowering energy consumption, communication overhead, and latency when compared to traditional protocols like TLS and DTLS. Low Power Internet of Things IoT networks are being used more and more in vital areas like environmental sensing, industrial automation, smart cities, and healthcare monitoring. However, the application of traditional security methods is difficult due to their limited resources, including memory, computing power, and energy. With an emphasis on scalable key management, energy efficient authentication, and lightweight cryptographic operations, this study suggests a secure communication architecture especially made for low power Internet of Things networks. The suggested paradigm incorporates a hierarchical trust based key distribution method to minimize computational complexity, lightweight hash based message authentication for integrity, and symmetric key encryption for data confidentiality. The architecture uses mutual authentication and dynamic session key generation to reduce communication costs and improve resilience against typical threats such replay attacks, node impersonation, eavesdropping, and denial of service assaults. The lifespan of the network is also increased by energy aware security scheduling, which makes sure that security processes adjust to node power levels. In comparison to conventional security frameworks, performance evaluation shows that the suggested model achieves high security guarantees with less computing complexity and energy consumption. The model may be deployed in wireless sensor and IoT networks with little resources and is scalable and flexible enough to adapt to diverse IoT contexts. A useful and effective framework for secure communication in next generation low power Internet of Things systems is contributed by this work. Srushti Wanjari | Himani Kubade "A Secure Communication Model for Low Power IOT Networks" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101373.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101373/a-secure-communication-model-for-low-power-iot-networks/srushti-wanjari
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| An AI Enabled Dual Access Examination Management Framework | | Author : Gayatri Patil | Shobha Rudrakar | | Abstract | Full Text | Abstract :Online exams were supposed to be simpler to conduct, but for the majority of teachers, this has turned into a logistical nightmare. Their focus has changed from teaching to working as data entry clerks at night and as digital security guards during the day. After spending hours staring at a blinking cursor trying to construct questions precisely, they spend the whole exam session examining tiny webcam boxes on a screen, hoping they dont miss someone looking at a hidden phone. Our objective was to exclude the term work from the phrase schoolwork. Think of it as a highly skilled personal assistant who never gets down. Instead of spending your Sunday night writing an exam, you may simply enter your lecture notes, a chapter from a PDF, or a Word document into the system. Similar to a human, our AI quickly reads the content, extracts the main concepts, and constructs a fair 10 question test 1 . It also handles the distractor replies for multiple choice questions, saving you the mental burden of trying to come up with plausible wrong answers. But we know that a fast test isnt a good test if individuals can cheat. To ensure fairness for the students who actually studied, Brain Box uses the webcam for intelligent facial recognition and activity tracking. The teacher can actually breathe instead of hawk hawking since its like having an extra set of eyes on all the students at once. Instead of just developing new software, our long term goal is to rebuild the balance between technology and education. We aim to use technology to ensure that grades have meaning once more, in addition to returning teachers weekends. After all, teachers spend more time inspiring students than managing spreadsheets. Gayatri Patil | Shobha Rudrakar "An AI-Enabled Dual - Access Examination Management Framework" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101374.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101374/an-aienabled-dual--access-examination-management-framework/gayatri-patil
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| A Study of Wireless Network Technologies and Their Applications | | Author : Mansi Bhoyar | Aditya Bisen | | Abstract | Full Text | Abstract :Wireless networks are essential to contemporary communication systems because they allow devices like laptops, cell phones, and Internet of Things systems to connect seamlessly. The need for dependable, effective, and secure wireless communication has grown dramatically with the quick development of cloud computing, mobile technologies, and Internet of Things applications. Instead of using physical cables, wireless networks use electromagnetic waves across particular frequency ranges to transfer data. Network management systems, wireless clients, routers, and access points or base stations are some of their primary parts. These networks can function in either ad hoc mode, where devices connect directly, or infrastructure mode, which uses centralized access points. Channel allocation, modulation methods, signal strength, and bandwidth availability all have an impact on performance. Signal quality is also impacted by environmental elements like as physical barriers, weather, and interference. Signal interference, security risks, and scalability problems are major obstacles. Modern technologies like OFDM, MIMO, and beamforming improve transmission reliability and efficiency, enabling better performance in wireless systems of the future. Because wireless network technologies allow for uninterrupted connectivity without the limitations of physical infrastructure, they have completely changed modern communication. Wireless technologies are essential for facilitating data transfer across a variety of settings and applications, from wide area cellular systems to personal area networks. Major wireless network technologies, such as Wi Fi, Bluetooth, Zigbee, cellular networks 4G and 5G , satellite communication, and newly developed Low Power Wide Area Networks LPWAN , are thoroughly examined in this study. Its architecture, working principles, frequency bands, data rates, coverage range, power consumption, and security features are all examined in this article. The report also looks at how these technologies are used in a variety of industries, including transportation, smart cities, healthcare, smart homes, industrial automation, and Internet of Things IoT systems. Performance measures like as bandwidth efficiency, latency, scalability, dependability, and energy efficiency are used to assess each system. By highlighting the advantages and disadvantages of several wireless standards, a comparison study aids in determining which ones are best suited for a given application. The study also addresses contemporary issues such spectrum shortages, interference control, security flaws, energy limitations, and quality of service demands. Next generation wireless advances, enormous IoT connection, edge computing integration, and 5G deployment are among the emerging topics that are covered. The studys conclusions give a systematic understanding of wireless network technologies and shed light on how they are changing to enable the worlds digital revolution. Mansi Bhoyar | Aditya Bisen "A Study of Wireless Network Technologies and Their Applications" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101375.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101375/a-study-of-wireless-network-technologies-and-their-applications/mansi-bhoyar
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| System Efficiency and User Experience in the FlySmart Booking System | | Author : Ruchira Lade | Vaishnavi Kuralkar | | Abstract | Full Text | Abstract :The airline industry is changing fast with digital technology. This means people want booking systems that work well and are easy to use. This study looks at how the FlySmart Booking System works and what people think of it. We want to know how things like how fast the system responds, how quickly it processes transactions, and how reliable it is. How secure it is affecting how happy people are, with the system, and how much they use it. We used a combination of looking at numbers and asking people what they think to see if the FlySmart Booking System is really working. The FlySmart Booking System is really good at helping people book flights. It has an interface that is easy to use, and it makes sure that payments are secure. The FlySmart Booking System makes it easier for people to book flights. It does not take long. The FlySmart Booking System is also good at getting the ticket information right. People can use the FlySmart Booking System on their phones or computers. It works well on all these devices. The FlySmart Booking System has menus thatre easy to understand and the steps to book a flight are simple. This makes people happy. They trust the FlySmart Booking System more. They are more likely to use the FlySmart Booking System because it is easy to use, and it works well. The FlySmart Booking System is good for customers. It helps them have a better experience when they book flights. This study highlights the importance of integrating technical performance optimization with user centered design principles in airline reservation platforms. The results provide insights for developers and airline service providers seeking to improve digital booking solutions while maintaining high standards of efficiency, reliability, and customer satisfaction. Ruchira Lade | Vaishnavi Kuralkar "System Efficiency and User Experience in the FlySmart Booking System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101376.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101376/system-efficiency-and-user-experience-in-the-flysmart-booking-system/ruchira-lade
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| Methodology for Implementation of an IoT Based Patient Monitoring System with Real Time Fall Detection and Edge Analytics | | Author : Ainam Sheikh | Nidhi Kirnapure | | Abstract | Full Text | Abstract :The number of people is going up really fast. This means we need to come up with ways to take care of people health. We want to make sure people can still move around freely. This paper is about a patient monitoring system that uses the Internet of Things. The patient monitoring system is special because it can detect if someone falls down and it can also track what is going on inside the body. The system is better than systems that relied on the cloud. Those old systems were slow. Used a lot of bandwidth. The new patient monitoring system uses something called Edge Analytics. This means that the system can process information from sensors right where the information is collected than sending it somewhere else. The system uses a combination of sensors that track movement and vital signs. It has a machine learning algorithm that helps tell the difference between everyday activities and real falls. The system looks at the data away and decides what is important. This helps get emergency responders to people 40 percent faster than other systems that use the cloud. Tests show that the system is really good at detecting falls and sending heart rate and oxygen level data using the MQTT 11 protocol. The system is good, at sending this information like heart rate and SpO 2 data when it needs to. This research highlights the effectiveness of decentralized IoT frameworks in enhancing patient safety, ensuring data privacy, and providing caregivers with a robust, low power solution for remote health management. The main part of this system is the way it handles data. It looks at the data in an order and does things right away when it gets the data. When you are wearing the device it is always checking how you are moving and how you are standing. It does this often. The device does not just send all the information to a computer else. It actually thinks about the information it gets. It takes the information about how youre moving and turns it into patterns of what you are doing. The wearable device is really good at understanding what is going on with the patient. Ainam Sheikh | Nidhi Kirnapure "Methodology for Implementation of an IoT-Based Patient Monitoring System with Real-Time Fall Detection and Edge Analytics" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101377.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101377/methodology-for-implementation-of-an-iotbased-patient-monitoring-system-with-realtime-fall-detection-and-edge-analytics/ainam-sheikh
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| A Comparative Study of Machine Learning Models for Telecom Customer Retention | | Author : Rushikesh Walode | Nisha Girade | | Abstract | Full Text | Abstract :Due to growing market saturation and cheap switching costs, client retention has become a crucial concern in todays fiercely competitive telecom sector. For telecom service providers, reliable Forecast of customer attrition is crucial because staying up to date customers is more cost effective than recruiting fresh ones . A comparison of many strategies for learning machines to telecom client retention is presented in this article. Using a telecom customer dataset, the study assesses well known classification techniques as Logistic Regression, Decision Tree, Random Forest, Support Vector Machine, and K Nearest Neighbors 1 . Model efficacy is evaluated and compared using key performance indicators like as accuracy, precision, recall, F1 score, and ROC AUC 2 . To increase prediction accuracy, processing of information methods comparable managing Lacking values, a characteristic selection, and class imbalance correction are used. The final results of the experiment suggest that collaboration based prototypes provide superior generalization along with dependability than standard algorithms when it comes to forecasting customer attrition. The results of this study can help telecom firms choose appropriate machine learning models to create retention tactics that work, lower churn rates, and enhance customer happiness 3 . Since keeping current customers is far more cost effective than recruiting new ones, telecommunications providers must be able to estimate customer attrition accurately. Using an operational telecom the database, which is this study compares a number of machine learning algorithms for telecom client retention. To ascertain their prediction efficacy, popular classification methods such as K Nearest Neighbors, Random Forest, Decision Tree, Support Vector Machines, and and Logistic Regression serve a purpose and assessed. To achieve a thorough comparison, especially when class imbalance is present, model performance is evaluated utilizing critical assessment measures like accuracy, precision, recall, F1 score, and ROC AUC. To improve model resilience and forecast performance, data preparation techniques are used, such as choosing characteristics, unbalanced correction, while participating handling the absence of values. Rushikesh Walode | Nisha Girade "A Comparative Study of Machine Learning Models for Telecom Customer Retention" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101378.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101378/a-comparative-study-of-machine-learning-models-for-telecom-customer-retention/rushikesh-walode
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| Vehicle Tracker Solutions | | Author : Rohit Kuware | Sanket Paradsinge | | Abstract | Full Text | Abstract :The development and implementation of vehicle tracking systems based on Internet of Things IoT technology have attracted considerable interest due to the rising demand for effective and secure monitoring solutions. This study investigates the investigation and development of a vehicle monitoring system that utilizes Internet of Things IoT capabilities to provide real time tracking, data collection, and analysis. By combining existing literature, IoT principles, and modern technologies, this study seeks to present a comprehensive and practical method for implementing an effective vehicle tracking system that satisfies the requirements of contemporary fleet management. 1 This document provides a thorough investigation and practical application of a vehicle tracking system utilizing Internet of Things IoT technology. The research covers a comprehensive examination of relevant articles and resources regarding vehicle tracking systems and Internet of Things IoT applications. It explores into the fundamental principles of IoT and its significance in the context of vehicle tracking. The implementation phase encompasses the creation of a bespoke vehicle tracking system that integrates GPS modules, microcontrollers, wireless communication, and cloud based data storage to enable real time tracking and monitoring. 2 The integration of advanced data analytics and machine learning techniques enhances the capabilities of the system, resulting in valuable insights, optimized routing, and predictive maintenance. This integration contributes to improved fleet management. The ethical implications pertaining to the protection of data privacy, security, and compliance to regulatory requirements are carefully taken into account. The results of this study make a valuable contribution to the field of Internet of Things IoT based vehicle tracking systems. Additionally, it provide a practical framework that can be utilized by organizations in search of effective and scalable solutions. Rohit Kuware | Sanket Paradsinge "Vehicle Tracker Solutions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101379.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101379/vehicle-tracker-solutions/rohit-kuware
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| Environmental Impact on Solar Panel Efficiency | | Author : Piyush Bhise | Sahil Singh | | Abstract | Full Text | Abstract :Long term environmental and economic development can be supported by solar energy, which has become a very promising and sustainable renewable energy source. However, a number of environmental factors have a substantial impact on the conversion efficiency and operating performance of photovoltaic PV systems. This study examines how environmental factors such temperature fluctuations, dust accumulation, humidity, shade, air pollution, and seasonal variations affect solar panel output characteristics. Because of higher internal resistance and lower open circuit voltage, elevated temperatures have been shown to impair PV efficiency 1 . Similarly, the deposition of dust and particle matter on the panel surface lowers the effective solar irradiance that reaches the photovoltaic cells by reducing light transmittance and producing partial shading effects 2 . Irradiance intensity is further impacted by humidity and cloud cover, which causes variations the production of electricity. Prolonged exposure to the environment causes long term degradation mechanisms, such as material corrosion, optical losses, and decreased electrical stability 3 , in addition to short term performance fluctuations. In order to improve prediction accuracy and operating efficiency, the study highlights how crucial it is to incorporate environmental effect assessment into PV system design and performance modelling. The findings demonstrate that the best tilt angle placement, frequent cleaning, thermal management systems, and ongoing environmental monitoring are essential tactics for increasing system reliability and energy production. This work fosters the development of high performance, environmentally friendly photovoltaic systems and advances solar energy harvesting technologies. In order to reduce efficiency losses under various climatic situations, this study also highlights the necessity of combining predictive performance modelling with real time environmental monitoring. The findings demonstrate how better system optimisation and more precise energy yield forecasts are made possible by a thorough understanding of environmental stresses. The operational lifespan and financial feasibility of PV systems can be greatly increased by integrating mitigation techniques with climate adaptive design methodologies. All things considered this study fortifies the groundwork for creating robust, highly effective solar energy systems that can produce steady, sustainable electricity in a variety of environmental conditions. Piyush Bhise | Sahil Singh "Environmental Impact on Solar Panel Efficiency" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101380.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101380/environmental-impact-on-solar-panel-efficiency/piyush-bhise
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| Failure of AI System in Rural India When Smart Technology Becomes Useless | | Author : Vrushabh Wandhare | Sarang Baskawre | | Abstract | Full Text | Abstract :This study looks at why many AI projects in rural India have not met expectations, even though there has been a lot of investment and promise. It examines the social and technical challenges, infrastructure gaps, and ethical issues that make it hard to use AI successfully in areas such as agriculture, healthcare, education, and local government. Key challenges identified include inadequate digital infrastructure, limited data representativeness of local populations, linguistic and cultural barriers, and low levels of digital literacy among rural users. Additionally, the opacity of AI decision processes has led to mistrust, inappropriate recommendations, and unintended negative consequences for underserved communities. It highlights a significant gap between how AI is designed and the realities of rural communities. The study argues that without inclusive design practices, localized data systems, and policies that tackle economic inequalities, AI initiatives may worsen existing disparities instead of improving them. Finally, the paper offers guidelines for responsible and context aware AI use in rural India. It stresses the importance of working together with local stakeholders, managing data ethically, and investing in infrastructure. The findings highlight the urgent need for AI systems that are not only technically strong but also socially inclusive and fair, reflecting the experiences of rural populations. Vrushabh Wandhare | Sarang Baskawre "Failure of AI System in Rural India: When Smart Technology Becomes Useless" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101381.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101381/failure-of-ai-system-in-rural-india-when-smart-technology-becomes-useless/vrushabh-wandhare
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| Phishing Detection Cyber Security | | Author : Yash Naik | Suyog Shingarwade | | Abstract | Full Text | Abstract :Fake messages pretending to be real have become a major headache across the internet these scams aim to grab passwords, money info, and private details using tricky links and look alike sites. As more things move online, older systems that rely on fixed rules struggle to keep up with smarter tricks used today. Instead of sticking to those outdated checks, this work looks into how smart computer programs learn patterns from web addresses, site behavior, and page content to spot fakes. Different number crunching strategies get tested one splits decisions step by step, another combines many guesses, some draw invisible borders between good and bad, while others mimic brain cells working together. Results show these thinking machines catch frauds better than old ways, making fewer mistakes along the route. Few things stand in the way skewed data, tricky choices in picking traits, shifting tricks from hackers. Ways forward appear when deeper neural methods mix with live threat spotting, lifting shields against fake websites. One way past those limits This research looks into machine learning to spot fake sites. Rather than stick strictly to fixed rules, these systems pick up trends from traits like how a web address is built, details about its domain, what it does when visited, plus how pages look inside. Different methods get tested side by side Decision Trees, Random Forests, Support Vector Machines, even Neural Networks. 1 How each one handles sorting real from risky varies sharply, which helps catch shady signs others might miss. Finding shows machine learning spots fake sites better than old ways ever did. With fewer mistakes, these systems catch new scams before they spread far. Yet problems stick around data often leans too heavy on one side. Picking the right clues to watch turns into a puzzle. Attackers keep shifting tactics faster than tools can adapt. Faster updates might weave smart algorithms along with live alerts, shaping tougher digital shields. These shifts could firm up guards aimed at scam traps while lifting the safety net wider across networks. Older ways to catch phishing usually rely on blacklists, preset rules, or known patterns. Though those worked well when online threats moved slower, they struggle now with brand new scam sites or unseen attacks. Since hackers keep shifting how they operate, systems built only on static logic fall short today. Their rigidity becomes a weakness as digital risks evolve. Tackling these issues head on, the work zeroes in on using machine learning to spot phishing sites. Patterns hidden in massive data piles come into view when algorithms sift through them, noticing oddities humans might miss. 2 . Yash Naik | Suyog Shingarwade "Phishing Detection (Cyber Security)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101382.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101382/phishing-detection-cyber-security/yash-naik
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| Explainable NLP Based System for Converting Technical Text into Interpretable Diagrams | | Author : Vansh Izankar | Maithili Kadukar | | Abstract | Full Text | Abstract :The growing complexity and volume of technical documentation in engineering, scientific, and computational fields present significant challenges for understanding, especially for non experts, students, and interdisciplinary stakeholders. Technical documents often detail complex processes, hierarchical system architectures, and interrelated components using dense terminology and structured language 15 . Understanding such materials typically demands considerable cognitive effort, as readers need to mentally create visual models based on textual descriptions. To tackle this issue, this paper introduces an explainable Natural Language Processing NLP system aimed at automatically transforming complex technical text into comprehensible visual diagrams. The suggested method incorporates advanced NLP techniques—including semantic parsing, named entity recognition, syntactic dependency analysis, and relation extraction—alongside a structured diagram generation framework. Initially, the system converts unstructured textual input into an intermediate knowledge representation that encapsulates entities, actions, attributes, and their logical connections. This structured representation is then systematically aligned with diagram components such as nodes, edges, and process flows, ensuring that the resulting visual output accurately reflects the procedural and conceptual framework of the original material 2 . Unlike conventional text summarization or visualization tools that focus on brevity or aesthetic appeal, the proposed system prioritizes interpretability, transparency, and traceability. An explainability module allows users to comprehend how specific textual elements affect diagram creation by highlighting extracted keywords, inferred relationships, and reasoning pathways 12 . This level of transparency builds trust in automated outputs and enables users to validate, refine, or amend generated diagrams as needed. To assess the effectiveness of the approach, the system was evaluated on a varied corpus of engineering. Vansh Izankar | Maithili Kadukar "Explainable NLP-Based System for Converting Technical Text into Interpretable Diagrams" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101383.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101383/explainable-nlpbased-system-for-converting-technical-text-into-interpretable-diagrams/vansh-izankar
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| EventSphere Event Facilitator Organizing System | | Author : Harshal Mate | Nandini Sandrawar | | Abstract | Full Text | Abstract :The EventSphere – Event Facilitator Organizer is a web based platform developed to streamline, centralize, and enhance the overall event management process through an integrated digital environment. The system is designed to simplify event planning by enabling users to manage bookings, task assignments, communication, updates, and progress tracking within a unified interface. By replacing fragmented manual coordination methods, the platform introduces a structured workflow oriented approach that improves efficiency, transparency, and operational control. The system accommodates multiple user categories, including event company employees, administrators, general customers, and visitors, with each user receiving role specific access through a secure authentication mechanism. This role based design ensures functional segregation, data security, and operational accountability across the platform. From a technical perspective, EventSphere is implemented using Python for backend processing, MySQL for structured data management, and HTML, CSS, and JavaScript for the interactive front end interface. The architectural design emphasizes modularity, scalability, and real time synchronization, allowing event related updates, task progress, and workflow transitions to be reflected dynamically across user dashboards. Unlike conventional event platforms that primarily focus on displaying event information or ticketing services, EventSphere provides end to end operational control, enabling users to actively execute and monitor events throughout their lifecycle. The system also extends beyond traditional event organization by incorporating entry level job visibility, thereby connecting operational functionality with practical opportunities within the event ecosystem. A key contribution of the platform lies in balancing technical sophistication with user centered design principles, ensuring accessibility for users with varying levels of technical expertise. The interface structure, workflow logic, and interaction mechanisms are designed to reduce complexity while maintaining functional depth. Furthermore, the system architecture supports future enhancements, including intelligent recommendation mechanisms, digital payment integration, vendor collaboration features, and cross platform deployment. As a result, EventSphere represents a comprehensive, adaptive, and future ready solution that redefines digital event management by combining workflow automation, real time control, and usability driven system design. Harshal Mate | Nandini Sandrawar "EventSphere- Event Facilitator/ Organizing System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101384.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101384/eventsphere-event-facilitator-organizing-system/harshal-mate
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| Impact of Social Media on Youth | | Author : Sujal Jangamwar | Palash Partakey | | Abstract | Full Text | Abstract :Today’s youth rely heavily on social media. It affects their worldview, learning methods, and communication styles. Positively, social media promotes social connections and allows for self expression and creativity. Additionally, it gives young people access to important information and facilitates the development of networks centered around common interests. It also helps develop critical digital skills and increases awareness of social issues. On the other hand, addiction, cyberbullying, and low self esteem can result from overusing social media. It can lead to irrational expectations and mental health issues. Social media plays an important role in shaping youth behavior and communication patterns 1 . Studies show that excessive use of social media is linked to anxiety, depression, and reduced well being among adolescents 4 . At the same time, moderate use improves social connection and digital skills 6 Maintaining a positive relationship with social media requires weighing the advantages and disadvantages. Its positive qualities can be enhanced while its negative effects can be lessened with awareness and education.Social media platforms can also be effective tools for advocacy and social change by creating a sense of community and connection. Young people can develop resilience and self esteem while navigating the challenges of digital interactions if they are encouraged to participate constructively online. Social media has become an essential component of the daily lives of young individuals, which affects their communication habits, lifestyle, education, and mental health. Social media platforms like Facebook, Instagram, Twitter, and TikTok offer opportunities for socialization, expression, and information acquisition. This paper will discuss both the positive and negative effects of social media on young individuals. On the positive effects, social media improves connectivity, fosters creativity, facilitates learning opportunities, and raises awareness about global concerns. Social media also assists young individuals in creating communities and acquiring digital skills that are essential for their future work. However, the overuse of social media is linked to negative effects like decreased academic performance, sleep problems, cyberbullying, anxiety, depression, and low self esteem. Social media exposure to unrealistic standards and comparisons can influence the mental health and body image of young individuals. Sujal Jangamwar | Palash Partakey "Impact of Social Media on Youth" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101385.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101385/impact-of-social-media-on-youth/sujal-jangamwar
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| Design and Implementation of a Smart Campus Management System Using AI and IoT | | Author : Srushti Khoke | Drishti Sahu | | Abstract | Full Text | Abstract :The Smart Campus Management System using Artificial Intelligence AI and Internet of Things IoT is a new and innovative idea to transform conventional educational institutions into a smart and automated environment. In many educational institutions like colleges, campus management activities such as attendance management, energy management, security management, and resource management are still done manually, which results in inefficiency and increased operating costs 1 . The objective of this research is to introduce a smart and automated system that uses various technologies like IoT and AI to transform the educational institution. The proposed model will be a smart and automated system that uses various devices like sensors, RFID, smart meters, and security cameras to gather information and data regarding various activities on the campus. The gathered information and data will be sent to a cloud environment, where AI will be used to analyze the gathered information and produce meaningful results. The proposed model will be a smart and automated system that will be capable of handling activities like automated attendance management, smart energy management, security management, and many more. The proposed model will be a smart and automated system that will be capable of handling activities like automated attendance management, smart energy. Moreover, the proposed smart campus system encourages scalability and flexibility, which enables educational institutions to extend or adjust system components according to their needs. The proposed system’s modular design ensures smooth integration of new IoT devices and AI models without affecting ongoing processes. With the use of cloud computing, the proposed system enables centralized data storage, remote monitoring, and real time access to information for administrators and authorized users. This centralized approach to data management enhances transparency, simplicity, and the ability of institutions to efficiently manage multiple campus facilities using a single platform. The proposed smart campus management system focuses on data security and privacy, which are ensured through the use of authentication systems, secure communication channels, and restricted access to confidential data. AI based analytics can also help with predictive maintenance, which can detect possible failures in the system, irregular energy consumption, or security breaches before they happen. This proactive strategy not only improves campus safety and dependability but also helps with long term cost savings and sustainable development. In summary, the proposed system illustrates how AI and IoT technologies can transform campus management, enhance efficiency, and help with the development of smart and sustainable educational institutions. Srushti Khoke | Drishti Sahu "Design and Implementation of a Smart Campus Management System Using AI and IoT" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101386.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101386/design-and-implementation-of-a-smart-campus-management-system-using-ai-and-iot/srushti-khoke
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| AI in Health Care | | Author : Dipesh Bhendarkar | Mayur Sahu | | Abstract | Full Text | Abstract :The healthcare industry is undergoing a rapid transformation thanks to artificial intelligence AI , which is boosting treatment planning, increasing diagnostic accuracy, and streamlining hospital administration processes. AI tools like computer vision, machine learning, deep learning, and natural language processing make it possible to analyse vast amounts of medical data, including genomic information, medical imaging, and electronic health records 1 . Google DeepMind and IBM Watson Health are two examples of advanced AI models that have shown the potential of intelligent systems in clinical decision assistance, medication discovery, and disease prediction. In order to improve patient outcomes and lower death rates, these technologies let medical personnel identify diseases including diabetes, cancer, and cardiovascular ailments early on 2 .Beyond clinical settings, AI is important for administrative automation, robotic surgery, telemedicine, and personalised medicine. While predictive analytics enhances resource allocation and lowers hospital operating expenses, chatbots and virtual assistants driven by AI assist in remote patient monitoring. In times of global health emergencies such as the COVID 19 pandemic, AI based technologies were extensively employed for contact tracing, outbreak prediction, and vaccine development assistance 3 . Notwithstanding its many advantages, there are still important problems that need to be resolved, including data privacy, algorithm bias, ethical dilemmas, and regulatory compliance. The use of AI in healthcare is, all things considered, a revolutionary strategy that improves the effectiveness, precision, and accessibility of medical services while opening the door to a more intelligent and patient focused healthcare system 4 . Dipesh Bhendarkar | Mayur Sahu "AI in Health Care" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101387.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101387/ai-in-health-care/dipesh-bhendarkar
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| AI Powered System for Identifying Duplicate Records in Student Databases | | Author : Karina Arkara | Prem Reddy | | Abstract | Full Text | Abstract :Educational institutions today rely heavily on digital systems to store and manage student information for academic, administrative, and regulatory purposes. Over the years, student data is entered and maintained by different departments such as admissions, examinations, accounts, and academic offices. Since multiple users handle data entry and updates at different times, the same student’s information may be recorded more than once. These duplicate or overlapping records often occur due to spelling differences, inconsistent data formatting, missing details, changes in personal information, or migration from one software system to another. Gradually, these issues reduce the overall accuracy and consistency of the institutional database. Duplicate student records can create serious problems in academic operations. They may result in incorrect student counts, inaccurate reports, conflicts in examination records, and confusion during result processing or certificate issuance. As the database grows larger, manually identifying and removing such duplicate entries becomes extremely challenging and time consuming. Moreover, traditional database systems mainly depend on exact matching techniques, which fail to detect records that have small differences but actually refer to the same student. Therefore, there is a clear need for a more intelligent and flexible approach that can identify similarity patterns in student data and accurately detect duplicate records. This research focuses on the development of an intelligent identification approach designed to recognise repeated student profiles by examining resemblance across multiple attributes rather than relying on direct value equality. The proposed approach emphasises systematic data refinement to reduce inconsistencies caused by representation differences such as case sensitivity, spacing, and formatting variations. After refinement, student records are analyzed to evaluate how closely they resemble one another across selected attributes. Records that demonstrate strong resemblance patterns are identified as overlapping profiles and highlighted for further review. Karina Arkara | Prem Reddy "AI-Powered System for Identifying Duplicate Records in Student Databases" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101388.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101388/aipowered-system-for-identifying-duplicate-records-in-student-databases/karina-arkara
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| AI Based Syllabus Analysis and Topic Classification System | | Author : Shantanu Raut | Vansh Dhodare | | Abstract | Full Text | Abstract :The rapid expansion of academic programs, interdisciplinary courses, and outcome based education frameworks across universities and educational boards has significantly increased the complexity of syllabus management and curriculum analysis. Institutions are required to continuously update course content to align with industry standards, accreditation requirements, and evolving technological trends. However, traditional manual methods of reviewing and categorizing syllabus documents are time consuming, inconsistent, and prone to human error. To address these challenges, this research proposes an AI Based Syllabus Analysis and Topic Classification System that automates the process of analysing, organizing, and classifying syllabus content using advanced Artificial Intelligence AI and Natural Language Processing NLP techniques The proposed system is designed to extract textual information from digital syllabus documents in formats such as PDF and DOCX and convert them into machine readable structured data. The extracted text undergoes multiple preprocessing stages, including tokenization, stop word removal, stemming, and lemmatization, to enhance data quality and reduce noise. Feature extraction techniques such as Term Frequency–Inverse Document Frequency TF IDF 9 are employed to convert textual data into numerical vectors that represent the importance of terms within the syllabus corpus. These feature vectors are then used to train and evaluate various machine learning classification algorithms The system incorporates supervised learning models such as Naïve Bayes 15 , Support Vector Machines SVM , and selected Deep Learning 5 architectures to categorize syllabus content into predefined academic domains such as Artificial Intelligence, Data Science, Computer Networks, Software Engineering, and others. Comparative performance analysis is conducted to determine the most efficient model in terms of accuracy, precision, recall, and F1 score. Experimental results indicate that machine learning–based approaches significantly improve classification accuracy while efficiently handling large scale syllabus datasets. Deep learning models, in particular, demonstrate strong performance in capturing contextual relationships among topics in addition to topic classification, the system provides similarity analysis between syllabi from different institutions. This feature enables curriculum comparison, identification of content gaps, detection of redundancies, and benchmarking against standardized frameworks. The automated analysis supports curriculum designers and academic administrators in maintaining uniformity, ensuring compliance with accreditation bodies, and facilitating outcome based education OBE planning. By reducing manual workload and enhancing consistency, the system contributes to improved academic governance and data driven decision making. Shantanu Raut | Vansh Dhodare "AI-Based Syllabus Analysis and Topic Classification System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101389.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101389/aibased-syllabus-analysis-and-topic-classification-system/shantanu-raut
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| HCI Based on Facial Movement for People with Upper Limb Disparities | | Author : Kajal Ghagare | Mohan Giri | | Abstract | Full Text | Abstract :Human machine interfaces, or HMIs, are important for improving the usability and accessibility of digital systems. Eye movement based HMIs offer a new and user friendly way to interact with technology, especially for digital display systems. These technologies enhance user experience and accessibility by allowing users to control and modify digital devices with their natural gaze behaviour. This study reviews the concepts, processes, challenges, and applications of eye tracking technology in HMIs. It emphasizes the potential of these systems in both assistive and mainstream applications. The study highlights significant scientific contributions, identifies hardware and software innovations, evaluates usability, and discusses possible future developments. HMI systems have evolved to support various users, including those with physical limitations, by using complex mechanisms and manual controls. Keyboards, mice, and touchscreens are examples of traditional manual technologies that have dominated digital display interaction. Alternative methods have been developed for those without hands, including voice control, eye tracking, and modified devices. The development and history of manual HMI systems, the challenges faced by individuals without hands while utilizing traditional interfaces, and the most recent technical developments that offer accessible solutions are all examined in this review of the literature. The assessment highlights developments in inclusive design while also pointing out areas that require further research to provide equitable access to digital systems 4 . Kajal Ghagare | Mohan Giri "HCI Based on Facial Movement for People with Upper Limb Disparities" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101391.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101391/hci-based-on-facial-movement-for-people-with-upper-limb-disparities/kajal-ghagare
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| Green IT and Its Importance in Modern Computing | | Author : Punam Topale | Nikhil Dhote | | Abstract | Full Text | Abstract :The world is using computers and technology more and more. Because of this the Information Technology sector is hurting the environment a lot. It is responsible for around 1.8 to 3.9 percent of the things we put into the air that make the earth sick. Green Information Technology or Green Computing is a way of doing things. It is a change in how we make, use and get rid of computers and other technology to make less of a bad impact on the earth. Green Information Technology is very important, for the future of the earth. This research paper is, about Green IT. It looks at the parts of Green IT, which are Green Design, Green Manufacturing, Green Use and Green Disposal. The paper examines why Green IT has become so important. It used to be something that companies did to be nice but now it is something that they have to do. Green IT has become a part of modern computing. The paper explores Green IT and its main parts like Green Design, Green Manufacturing, Green Use and Green Disposal to understand why this change happened. Green IT is really about saving energy and being kind to the environment. We want Green IT to use as energy as possible from the time a product is made until it is thrown away.. We also want Green IT to use fewer bad materials that can hurt people and the earth. When we talk about data centers they use a lot of power. So this paper looks at how virtualization and cloud computing can help. These things can combine lots of work onto a machines, which means we need fewer machines. Green IT can also use technologies like smart cooling systems that use Artificial Intelligence and special liquid cooling. These things help organizations use energy and lower their Power Usage Effectiveness ratings. This is a deal, for Green IT because it means we are doing a better job of saving energy. The idea of Green Software is really important. Green Software is, about making sure the code is written in a way that does not waste energy. When we use algorithms and write the code in a smarter way the computer processor does not have to work as hard. This means that the battery will last longer and the computer will use energy. Green Software helps to make computers more efficient and use power 2 . Punam Topale | Nikhil Dhote "Green IT and Its Importance in Modern Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101451.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101451/green-it-and-its-importance-in-modern-computing/punam-topale
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| Role of Digital Signatures in Securing Cryptocurrency Transactions | | Author : Saurabh Ningawale | Timothy Boby | | Abstract | Full Text | Abstract :Digital currency is really changing the way we handle our money. We can use computers to do things with our money without having to go to the bank. This way of doing things is safe. The thing that makes it safe is called a signature. The digital signature is very important, for cryptocurrency. It keeps our cryptocurrency transactions safe. When we buy or sell cryptocurrency the digital signature protects our money. Cryptocurrency is a way of thinking about money and digital signatures are a big part of cryptocurrency. Digital currency and cryptocurrency are connected to signatures in a big way. Digital signatures make cryptocurrency transactions secure. We can trust cryptocurrency because of the code that keeps our cryptocurrency transactions safe. Cryptocurrency is what money will be like in the future. 1 This special code is really important for making it work. People use their computers to do things with cryptocurrency. They sit at their computers. Do everything they need to send and get cryptocurrency. Computers are very important for cryptocurrency transactions. When we use cryptocurrency we do not need a bank. This is because cryptocurrency is like the money in our pockets that we can use to buy things or send to people without needing a bank to help us 2 . Cryptocurrency is, like cash so we can use it to purchase items or send it to others without a bank getting involved. We can just use our computers. Cryptocurrency to do what we need to do. Digital signatures play a crucial role in cryptocurrency transactions. They ensure that every aspect of the cryptocurrency transactions is accurate. This indicates that the transactions involving cryptocurrency are secure. Digital signatures significantly aid the cryptocurrency. They ensure that individuals cannot claim they didn’t conduct a cryptocurrency transaction when they actually did. This concept is referred to as non repudiation 3 . Saurabh Ningawale | Timothy Boby "Role of Digital Signatures in Securing Cryptocurrency Transactions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101453.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101453/role-of-digital-signatures-in-securing-cryptocurrency-transactions/saurabh-ningawale
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| Digital Forensics Computer Crime Investigation | | Author : Tushar Ramdham | Shivam Meshram | | Abstract | Full Text | Abstract :As a crucial topic within the realm of cybersecurity, digital forensics is essential to the investigation and prevention of crimes using computers. As digital technologies, internet usage, cloud computing, and smart devices continue to rise exponentially, cybercrimes like ransomware attacks, identity theft, financial fraud, hacking, data breaches, and cyberterrorism have become much more commonplace globally. The necessity for methodical digital investigation procedures has never been greater, as criminals increasingly rely on digital platforms to carry out and hide their operations. A systematic framework for locating, preserving, gathering, analysing, and presenting digital evidence in a way that is acceptable in court is offered by digital forensics 1 . This study examines the basic ideas of digital forensics, concentrating on computer crime investigation and methods for recovering erased data. The retrieval of erased or concealed data is among the most crucial components of digital forensic inquiry. In contrast to popular assumption, deleted files are not instantaneously removed from storage devices rather, the operating system just identifies the storage space as usable again and eliminates file references. Using specific forensic methods, such data can be recovered until it is overwritten. Forensic disc imaging, file carving, metadata reconstruction, hash verification, and timeline analysis are some of the data recovery techniques covered in this study. The study also looks at the organised digital forensic investigation procedure, which uses cryptographic hashing algorithms like MD5 and SHA 256 to guarantee integrity and authenticity 2 The study also examines popular forensic tools including EnCase, FTK, Autopsy, Wireshark, and Volatility that help investigators retrieve, examine, and interpret digital evidence from memory systems, networks, and computers. Additionally, the study draws attention to contemporary difficulties in digital forensic investigations, such as disputes over jurisdiction, cloud based systems, and encryption. The results highlight the importance of digital forensics in preventing cybercrimes and bolstering cybersecurity regimes. The incorporation of automation, artificial intelligence, and advanced analytics into forensic investigations will further improve accuracy, efficiency, and dependability as technology develops. The significance of contemporary digital forensic procedures in preserving cyber resilience, legal compliance, and digital trust in the linked world of today is highlighted by this study, which advances our understanding of them. 3 . Tushar Ramdham | Shivam Meshram "Digital Forensics: Computer Crime Investigation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101455.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101455/digital-forensics-computer-crime-investigation/tushar-ramdham
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| Data Privacy Issues in Social Media | | Author : Om Ravidas | Sahil Misar | | Abstract | Full Text | Abstract :Social media platforms, which allow users to interact globally, share information, and express ideas in real time, have become essential to modern communication. However, the rapid growth of these platforms has raised serious concerns regarding data privacy and user information security 1 . Social media applications collect large amounts of personal data, such as location, browsing habits, preferences, and social interactions. These data are often used for targeted advertising, analytics, and third party sharing, which increases the risk of unauthorized access, data breaches, identity theft, and misuse of personal information 2 . This study focuses on the major data privacy issues faced by social media platforms, including weak privacy settings, improper handling of personal data, frequent data breaches, and lack of transparency in privacy policies. These issues can negatively affect users by increasing the chances of online fraud, identity theft, and loss of control over personal information 3 . This study also examines existing data protection laws and highlights the importance of stronger security measures and user awareness to reduce privacy risks. The study concludes that improved privacy policies, better data protection techniques, and responsible user behavior are necessary to ensure the safer and more secure use of social media platforms. 4 Om Ravidas | Sahil Misar "Data Privacy Issues in Social Media" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101458.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101458/data-privacy-issues-in-social-media/om-ravidas
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| Smart Attendance System | | Author : Kunal Sharnagat | Om Bhagat | | Abstract | Full Text | Abstract :The Smart Attendance System is a modern, tech based tool designed to make tracking attendance easier, safer, and more efficient for schools and other organizations. Traditional attendance systems depend a lot on people writing things down by hand. This method can take a lot of time, is easy to make mistakes, and can be used by someone else to fake attendance. These limits cause problems with managing things and make the records of who is present less trustworthy. To tackle these challenges, the Smart Attendance System uses advanced identification methods like biometric checks, facial recognition, RFID tags, and mobile verification. This ensures accurate, secure, and real time tracking of attendance. The system works through a single digital platform that collects, saves, and manages attendance data in a clear and flexible way. By using fewer manual steps, it greatly lowers the work needed in administration and helps keep data consistent and operations running more smoothly. Real time synchronization lets admins, teachers, and managers check attendance right away, create automatic reports, look at patterns in student behavior or participation, and make smart choices for the school. The system can also connect with notification services to send automatic messages to students, workers, or parents. This helps improve communication, responsibility, and involvement. Keeping security and privacy is very important in the Smart Attendance System. Advanced security methods, secure data storage, and access rules based on user roles protect important biometric and attendance information from being accessed by unauthorized people 2 . The systems design can be used by schools of any size, whether theyre small classrooms or big organizations with multiple campuses. Cloud storage and analytics help keep records for a long time, allow access from anywhere, and help check how well the system is working. They also make sure the system stays reliable and always available. In the facial recognition setup, images are gathered in a controlled environment to train and test the recognition model. Different lights, expressions, and camera angles are used to make the system more reliable. The process for recognizing someone starts with preparing the image, then finding important features, and finally matching those features to an identity. This is done using computer vision tools from OpenCV and custom code written in Python. Performance evaluation looks at how well the system recognizes things, how fast it processes information, how many mistakes it makes, and how quickly it reacts in classroom like situations. The results show that manual work is greatly reduced, fake attendance is avoided, and handling data becomes more efficient. Ethical issues are considered at every step of designing and using the system. Informed consent, safe handling of biometric data, and following privacy rules make sure data is used properly. User feedback shows that the system makes things easier and more clear. The facial recognition based smart attendance system is a scalable, efficient, and future ready solution for managing attendance automatically. By using automation, security, and smart analytics together, the system helps drive digital transformation in schools and organizations, creating smarter, data based administrative systems. Kunal Sharnagat | Om Bhagat "Smart Attendance System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101459.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101459/smart-attendance-system/kunal-sharnagat
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| SQL and NOSQL Database A Comparative Study | | Author : Lukesh Kawde | Piyush Paulzagade | | Abstract | Full Text | Abstract :As the volume of data generated by different applications has experienced tremendous and unprecedented growth across different categories of applications in todays society, the need for high performance database management systems has also increased significantly. Two of the most commonly used database types are SQL databases and NoSQL databases. SQL based databases operate on the relational model, which is based on a predefined schema the way the data is organised and guarantees the consistency of data through strict adherence to the ACID properties the rules governing the treatment of data 1 . SQL databases are well suited for applications that require structured data and complex queries. In contrast, NoSQL databases operate with a dynamic schema flexible ways to organise data , so they can support large volumes of either unstructured or semi structured data. Successful implementation of NoSQL has also proven able to provide extreme horizontal scalability expanding the power of a computer by adding more computers , and have proven reliable, yielding high availability, which makes NoSQL a great choice for applications requiring both big data and real time processing needs 2 . This paper will evaluate and compare the respective benefits and weaknesses of both SQL databases and NoSQL databases, in terms of their data models, scaling characteristics, consistency, performance, and real world use cases. Each of the two database types will be studied holistically. The study will result in recommendations regarding how organisations can make the best use of either SQL databases or NoSQL databases 3 . Lukesh Kawde | Piyush Paulzagade "SQL and NOSQL Database: A Comparative Study" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101460.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101460/sql-and-nosql-database-a-comparative-study/lukesh-kawde
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| AI in Health Care | | Author : Anup Singh | Mohnish Charjan | | Abstract | Full Text | Abstract :The healthcare industry is undergoing a rapid transformation thanks to artificial intelligence AI , which is boosting treatment planning, increasing diagnostic accuracy, and streamlining hospital administration processes. AI tools like computer vision, machine learning, deep learning, and natural language processing make it possible to analyse vast amounts of medical data, including genomic information, medical imaging, and electronic health records 1 . Google DeepMind and IBM Watson Health are two examples of advanced AI models that have shown the potential of intelligent systems in clinical decision assistance, medication discovery, and disease prediction. In order to improve patient outcomes and lower death rates, these technologies let medical personnel identify diseases including diabetes, cancer, and cardiovascular ailments early on 2 .Beyond clinical settings, AI is important for administrative automation, robotic surgery, telemedicine, and personalised medicine. While predictive analytics enhances resource allocation and lowers hospital operating expenses, chatbots and virtual assistants driven by AI assist in remote patient monitoring. In times of global health emergencies such as the COVID 19 pandemic, AI based technologies were extensively employed for contact tracing, outbreak prediction, and vaccine development assistance 3 . Notwithstanding its many advantages, there are still important problems that need to be resolved, including data privacy, algorithm bias, ethical dilemmas, and regulatory compliance. The use of AI in healthcare is, all things considered, a revolutionary strategy that improves the effectiveness, precision, and accessibility of medical services while opening the door to a more intelligent and patient focused healthcare system 4 . Anup Singh | Mohnish Charjan "AI in Health Care" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101463.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101463/ai-in-health-care/anup-singh
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| Generative AI concepts, Application, and Challenges with a Study on Retrieval Augmented Generation | | Author : Riddhi Deshmukh | Vikas Chopde | | Abstract | Full Text | Abstract :Generative Artificial Intelligence AI has rapidly become one of the most transformative technologies in recent times. In contrast to conventional AI systems that merely analyze or categorize data, generative models can produce new content like text, images, audio, and even programming code. This paper investigates the fundamental principles of Generative AI, highlighting deep learning methods and extensive language models that allow machines to produce responses similar to human interaction. It emphasizes significant real world uses in fields like healthcare, education, entertainment, business automation, and software development. Despite its remarkable capabilities, Generative AI encounters several difficulties. Concerns like biased results, misinformation, hallucinations, data privacy issues, and elevated computational expenses cast doubt on reliability and ethical principles. This text analyzes a research initiative on Retrieval Augmented Generation RAG focused on overcoming particular constraints, representing a system that merges information retrieval and text generation. RAG enhances accuracy and minimizes erroneous or deceptive responses by utilizing external information sources. The study ends by analyzing how the incorporation of retrieval methods can enhance the reliability, efficiency, and user friendliness of generative systems in real world scenarios. 1 . Riddhi Deshmukh | Vikas Chopde "Generative AI: concepts, Application, and Challenges with a Study on Retrieval Augmented-Generation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101464.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101464/generative-ai-concepts-application-and-challenges-with-a-study-on-retrieval-augmentedgeneration/riddhi-deshmukh
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| A Study of Gig Economy and Their Applications | | Author : Parth Gampawar | Sahil Shrikhande | | Abstract | Full Text | Abstract :The gig economy has emerged as a transformative force in the global labour market, driven by rapid technological advancement and the expansion of digital platforms. This study examines the structure, growth, and practical applications of the gig economy in the modern digital era. It explores how online platforms have reshaped traditional employment models by enabling short term, flexible, and task based work opportunities. Companies such as Uber, Swiggy, Zomato, Upwork, and Fiverr demonstrate how technology driven business models connect service providers directly with consumers, increasing efficiency and accessibility. The research analyses key applications of the gig economy across transportation, food delivery, e commerce, and freelance digital services. It further evaluates the economic benefits such as income flexibility, entrepreneurship opportunities, and digital inclusion, while also addressing major challenges including job security, income instability, and regulatory concerns. The study highlights the growing integration of mobile applications, artificial intelligence, and digital payment systems in supporting gig based platforms. The findings suggest that the gig economy is not merely a temporary employment trend but a structural shift in workforce organization with significant implications for businesses, workers, and policymakers. As digital transformation continues to evolve, the gig economy is expected to play a central role in shaping the future of work worldwide. The gig economy has expanded rapidly due to technological advancements, shifting workforce preferences for flexibility, and businesses’ desire to reduce labor costs. It offers advantages such as autonomy, flexible schedules, and diversified income sources for workers, while providing companies with scalable, on demand labor. However, it also raises concerns regarding job security, income instability, lack of benefits, limited legal protections, and regulatory challenges. As the gig economy continues to grow globally, it is reshaping traditional employment structures, influencing labor laws, and prompting debates about worker classification, social protection systems, and the future of work in a digital age. Parth Gampawar | Sahil Shrikhande "A Study of Gig Economy and Their Applications" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101465.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101465/a-study-of-gig-economy-and-their-applications/parth-gampawar
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| Green Cloud Computing | | Author : Nikhil Patil | Yash Dhande | | Abstract | Full Text | Abstract :Green Cloud Computing has emerged as a critical research area in response to the rapid expansion of cloud based services and the growing environmental concerns associated with large scale data centers. In recent years, cloud computing has become the backbone of digital transformation, supporting online storage, enterprise applications, artificial intelligence systems, big data analytics, and global communication platforms. Major cloud service providers such as Amazon Web Services, Microsoft Azure, and Google Cloud operate massive data centers worldwide to meet increasing user demand. However, these data centers consume enormous amounts of electrical energy for computing operations, server maintenance, and cooling systems, leading to high carbon emissions and environmental impact. The rising energy demand not only increases operational costs but also contributes significantly to global climate change. Green Cloud Computing aims to address these challenges by integrating environmentally sustainable practices into cloud infrastructure design and operation. The core objective of this approach is to minimize energy consumption while maintaining high performance, scalability, and reliability of cloud services. This involves implementing energy efficient hardware, advanced virtualization techniques, intelligent workload management systems, and renewable energy sources such as solar and wind power. Virtualization plays a crucial role by enabling multiple virtual machines to operate on a single physical server, thereby reducing hardware dependency and optimizing resource utilization. Additionally, dynamic resource allocation techniques ensure that computing resources are used only when necessary, preventing unnecessary energy waste during idle periods. Another significant aspect of green cloud computing is the adoption of energy aware scheduling algorithms and efficient cooling technologies. Data centers traditionally require continuous cooling to prevent overheating, which consumes a large portion of their total energy usage. Modern green data centers incorporate innovative cooling methods, including liquid cooling and natural air circulation systems, to enhance energy efficiency. Furthermore, many cloud providers are investing in renewable energy projects and carbon offset programs to achieve sustainability goals and reduce their overall carbon footprint. Nikhil Patil | Yash Dhande "Green Cloud Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101466.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101466/green-cloud-computing/nikhil-patil
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| AI Powered Hybrid Threat Detection System | | Author : Hardik Dewhade | Ishita Jaiswal | | Abstract | Full Text | Abstract :With the rapid growth of digital networks and cloud services, cybersecurity threats have become more complex and common. Traditional signature based intrusion detection systems can identify known attacks, but they struggle with new or evolving threats. Anomaly based detection systems can spot unusual behaviours and unknown attacks, but they often produce a high number of false positives. To address these issues, this research suggests an AI powered hybrid threat detection system that combines signature based and anomaly based methods to improve accuracy and flexibility. This system uses machine learning algorithms like Random Forest, Support Vector Machines SVM , and Isolation Forest to examine network traffic and system behaviour. Signature based detection finds known threats through pattern matching, while anomaly detection identifies deviations from typical activity, allowing the system to catch previously unseen attacks. The system is tested using standard datasets like NSL KDD and CIC IDS2017 1 . Its performance is measured by accuracy, precision, recall, F1 score, and false positive rate. Experimental results show that the hybrid approach improves detection performance and reduces false alarms, making it a scalable and smart solution for todays cybersecurity challenges. The proposed framework emphasizes a balanced approach by combining the strengths of traditional detection mechanisms with the adaptability of machine learning models. By leveraging data driven analysis, the system is capable of identifying complex traffic patterns and responding to emerging threats more effectively. The integration of a hybrid decision mechanism further enhances reliability by minimizing false alarms while maintaining high detection sensitivity. The results indicate that AI driven hybrid models can significantly contribute to building more secure, scalable, and proactive cybersecurity infrastructures suitable for modern enterprise environments. Hardik Dewhade | Ishita Jaiswal "AI Powered Hybrid Threat Detection System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101467.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101467/ai-powered-hybrid-threat-detection-system/hardik-dewhade
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| AI Automation Systems | | Author : Atharva Thombare | Ajay Tiwari | | Abstract | Full Text | Abstract :Artificial Intelligence Automation Systems represent a significant technological advancement that combines artificial intelligence techniques with automated processes to perform tasks efficiently with minimal human intervention. These systems are designed to analyze data, recognize patterns, make decisions, and continuously improve their performance over time. Unlike traditional automation systems that operate on fixed instructions, AI automation systems possess learning capabilities, enabling them to adapt to new situations and complex environments. In recent years, organizations across industries such as healthcare, banking, education, manufacturing, and e commerce have adopted AI automation to enhance productivity, reduce operational costs, and improve service quality. This research paper explores the concept, structure, working principles, applications, advantages, challenges, ethical concerns, and future scope of AI automation systems. The study is based on secondary data collected from academic sources and industry reports. The findings indicate that AI automation systems play a crucial role in digital transformation however, they also raise concerns related to job displacement, data privacy, cybersecurity, and ethical decision making. The paper concludes that responsible implementation, regulatory frameworks, and continuous research are essential to ensure sustainable growth and balanced development of AI automation technologies. The study concludes that AI automation systems play a crucial role in shaping the future of digital transformation and economic development. However, sustainable growth in this field requires responsible implementation, ethical governance, regulatory compliance, and continuous technological innovation. By balancing technological advancement with social responsibility, AI automation systems can contribute positively to long term industrial and societal progress. Atharva Thombare | Ajay Tiwari "AI Automation Systems" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Recent Advances in Computer Applications and Information Technology , March 2026, URL: https://www.ijtsrd.com/papers/ijtsrd101468.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/101468/ai-automation-systems/atharva-thombare
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| Ways to Ensure the Stability of the Deposit Base of Commercial Banks of Uzbekistan | | Author : Odilov Boburjon | | Abstract | Full Text | Abstract :In the practice of international banking, ensuring the stability of the liabilities of commercial banks is a necessary condition for ensuring their competitiveness in the financial markets. Therefore, in developed countries, a set of indicators describing the stability of liabilities of commercial banks has been formed, and a number of indicators in the set are the object of prudential bank control. This plays an important role in ensuring the stability of banks’ activities.In the article, scientific proposals aimed at ensuring the stability of the deposit base of commercial banks of Uzbekistan have been developed. Odilov Boburjon "Ways to Ensure the Stability of the Deposit Base of Commercial Banks of Uzbekistan" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Special Issue on Advanced Studies of Multidisciplinary Research and Analysis , November 2023, URL: https://www.ijtsrd.com/papers/ijtsrd60117.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/60117/ways-to-ensure-the-stability-of-the-deposit-base-of-commercial-banks-of-uzbekistan/odilov-boburjon
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| Issues of Organizing Effective Tax Control in The System of Tax Administration | | Author : Bobur Bekmurod ugli Poyonov | | Abstract | Full Text | Abstract :This scientific article reflects the reform of tax administration, the formation of a digital economy with further improvement and improvement and development of the activities of the bodies of the state tax service, as well as the acceleration of the implementation of universally recognized international norms and standards in the field of tax control into national legislation. Bobur Bekmurod ugli Poyonov "Issues of Organizing Effective Tax Control in The System of Tax Administration" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Special Issue on Advanced Studies of Multidisciplinary Research and Analysis , November 2023, URL: https://www.ijtsrd.com/papers/ijtsrd60137.pdf Paper URL: https://www.ijtsrd.com/management/accounting-and-finance/60137/issues-of-organizing-effective-tax-control-in-the-system-of-tax-administration/bobur-bekmurod-ugli-poyonov
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| The Essence of Production Activity Qualification Classification of the Position | | Author : Todjidinov Umid Todjidinovich | | Abstract | Full Text | Abstract :The article talks about the essence of production activity. Information about the qualification classification of the position of producer, organizational skills, and creative work is provided. Todjidinov Umid Todjidinovich "The Essence of Production Activity: Qualification Classification of the Position" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Special Issue on Advanced Studies of Multidisciplinary Research and Analysis , November 2023, URL: https://www.ijtsrd.com/papers/ijtsrd60162.pdf Paper URL: https://www.ijtsrd.com/other-scientific-research-area/other/60162/the-essence-of-production-activity-qualification-classification-of-the-position/todjidinov-umid-todjidinovich
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| Working with Texts and Speech Development of Russian as a Foreign Language | | Author : Kudriddinova Nargis Dehkanovna | | Abstract | Full Text | Abstract :The article considers the types of speech activity, the main tasks of speech development in teaching Russian as a foreign language RFL , the features of working with text in the lessons of RFL at the main stage of language learning. Correctly and consistently constructed stages of working with text material pre text, pre text and post text tasks are the foundation for the successful entry of students into open communication. This article describes the distinctive features of each stage of working with the text in the RFL lesson. Kudriddinova Nargis Dehkanovna "Working with Texts and Speech Development of Russian as a Foreign Language" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Special Issue on Advanced Studies of Multidisciplinary Research and Analysis , November 2023, URL: https://www.ijtsrd.com/papers/ijtsrd61184.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/other/61184/working-with-texts-and-speech-development-of-russian-as-a-foreign-language/kudriddinova-nargis-dehkanovna
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| Mamta Kalias Literature Attacks Social Anomalies | | Author : Vijendra Prasad Meena | Dr. Aarti Kulshrestha | | Abstract | Full Text | Abstract :Relationships have great importance in our life. There are two types of relations – one is like blood – mother, father, son, sister, brother etc. Secondly, some relationships are formed in the society like with friend, with wife etc. Marital relations are established by individuals. Vijendra Prasad Meena | Dr. Aarti Kulshrestha "Mamta Kalias Literature Attacks Social Anomalies" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Special Issue on Advanced Studies of Multidisciplinary Research and Analysis , November 2023, URL: https://www.ijtsrd.com/papers/ijtsrd60107.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/social-science/60107/mamta-kalias-literature-attacks-social-anomalies/vijendra-prasad-meena
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