Published in International Journal of Trend in Scientific 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

Published in International Journal of Trend in Scientific 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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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