This project is aimed at resolving severe traffic congestion in most cities across the world by using latest technologies. The world is heading towards IoT and shifting daily routine manual processes to automatic systems. Current traffic control system is based on fixed timer which becomes one of the main reasons of transport blockage. In order to overcome this problem, a framework has been designed to introduce the concept of smart traffic system which includes Internet of Things. The road side sensors attached to the Arduino Mega send information to the cloud using NodeMCU where decision is taken based on density, hence involving cloud computation to turn a particular signal green. Moreover, we have also dealt with emergency vehicles which bears the facility of turning signal green using either RFID system or GSM based mobile. Sound sensors are placed to confirm that the signal return to normal condition once the emergency vehicle has crossed the signal. Lastly, a geofencing based marketing app called “Brando” has been designed using android studio to provide location-based services from the nearest stations like shopping malls to the people on road on their respective mobile phones

The parking systems in the modern age are under tremendous stress as the number of vehicles on the roads are increasing every year. Due to this increase, the current parking lots do not suffice which leads to people driving for parking spaces thus wasting valuable time and adding to the greenhouse emissions. Therefore, new efficient and innovative solutions need to be developed which meets the ever- increasing demand for parking spaces and be as environmentally friendly as possible. The solution devised in this project is an enhancement of the current parking system with an integrated mobile application which allow drivers to remotely monitor parking lots, make reservation for a spot prior to visiting the parking lot and make in app payments for the parking services. This reduces the time spent in looking for parking spots as well as reduces the unnecessary carbon emissions while offering a practical and seamless parking experience to the users.

Vaccinations are very essential for the prevention of harmful diseases. However, the implementation rate of vaccination varies in different parts of the world. Many countries struggle to achieve the maximum immunization ratio due to their vaccination practices and methodologies. However, the authors have developed a solution to strengthen the vaccination procedure. SHIFAYAAB, Proposed Methodology in this paper provides a centralized platform for different healthcare organizations and hospitals, working on various vaccination programs. The idea is to collectively provide a centralized database for the vaccination programs by integrating the platform with the healthcare organizations and hospitals, to enhance and improve the vaccination procedure for the workers as well as the public. SHIFAYAAB proposes automation of the vaccination procedure by replacing the old school vaccine schedule card-reports with autonomous systemgenerated microplans. It will assemble the vaccination records and provide a user-friendly platform for the vaccinators to carry out the vaccination process. It will also provide children parents a platform to keep track of their vaccination progress by monitoring their microplan along with regular notification reminders from the platform.

It is brief according to the topic that it will focus on IoT based security issues. This study will focus on rigorous literature review which will provides us trustworthy path to satisfy the industry need. In curtail IoT is not just about interconnecting embedded devices or gadgets to the Internet, however, it is also fast and continuously growing to improve the ease or satisfaction of life. The motive of IoT services is to connect the entire globe through sensors. This study reviews the IoT methodologies in the light of qualitative research. The data analysis and synthesis focus over the last three years (2018 to 2020) which are based on the PRISMA block diagram for understanding. The review identifies the IoT privacy and security issues from a different perspective and also finds out which security issue is mostly discussed in the last few years which elaborated as a basis for further research. After a review of this paper, we can easily understand the different problem faces of IoT devices with the help of comparative analysis using summarize tables and graphical representation of IoT in context of the privacy and security challenges and issues face of IoT devices. After vigorous survey, it is clear that in future most of the paper will discuss data security and privacy, confidentiality, and authenticity.

Machine learning had given many benefits to the humankind by implementing technology on the daily human lives. To add, when the pandemic COVID19 hits Earth globally in early 2020, mankind is challenged with the sudden emergence of the virus that costed many lives. With the virus spreading fast, it has become a challenge towards medical experts to keep their environment clean from the virus. Scientists and medical experts raced to find a cure and plausible methods to avoid the virus from spreading, ranging from lockdowns to standard operating procedures on daily routines. Studies have also shown that geographical factors in the rural area becomes a great challenge to experts on providing medical attention towards the community that had been infected in the rural areas. Fortunately, with the help of advanced current technology, scientists and medical experts are able to counter these problems. In this study, an experimental model with an accuracy of 87% is used, and the application to a web server is used via Python and Flask. The accuracy is achieved by adjusting batch sizes and implementing image augmentation using Keras’ ImageDataGenerator feature. Therefore, this project focuses on utilizing machine learning to classify COVID-19 patients through X-ray images on a web server, which could further improve the accessibility for humanity to seek for medical attention.