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Today, we can easily say that there is no limit to the size of the data that exists in the real world-it can be in tens, hundreds, thousands, billions or even trillions of dimensions. However, not all dimensions are vital or relevant for a more detailed analysis. The key objective of educational data mining is to analyze educational data to solve educational and research problems. Our research in this paper focuses primarily on identifying relevant characteristics that can help determine the academic performance of students. The selection of features carried out as data preprocessing techniques keeping in mind the key idea to eliminate irrelevant and redundant features and thus selecting the optimal characteristics that can improve the overall accuracy of the model. The characteristics selected through the selection of functions can help to predict the academic performance of the student in several colleges and universities, which is one of the most imperative contemplations by interested parties to build and maintain a quality system. Although there are several studies that determine the factors that affect the academic performance of students, there is still a gap in existing research that focuses on the psychological factors of a student. The document is structured as follows. Section two contains a brief explanation about the related work in this field. In section three, we have discussed the adopted methodology that presents the data set, the feature selection algorithms, and the characteristic evaluation approach. Section four presents the configuration and experimental results and section five focuses on the conclusion and future scope.

AI is becoming more common because of expert automated systems and modern technology's ability to process information. This makes our lives easier and more exciting. It's better for privacy, reliability, and network resource use if AI inference algorithms run on a smart device rather than in the cloud, so this is how most smart devices use them. For a long time, on-device intelligence has been more common [1]. Cloud and big data have become important tools for pooling resources and training equipment data on the device [2]. Using the important technologies, AI spreads and humans become better at their jobs. Basic Communication technology like gesture recognition is based on data and uses ANN (Artificial Neural Network) algorithms to do periodic tracking and 3D hand modelling [3]. It has been used to run multimedia apps as well as handheld devices by gestures. Security in touch-enabled devices is also important because of authenticating users, which is provided by a learned display contact data set and classifier based on the K-means algorithm. AI-based algorithms are also used in industrial applications to combine live tracking, predictive maintenance, virtual support, and ground truth. This is done by using the cloud and AI-based algorithms.

Severe Acute Respiratory Syndrome (SARS), first identified in the Guangdong province of China in 2002, affected the world The transmission of the virus is from animals to animals and also to humans In late 2019, another novel coronavirus SARS-CoV2 was identified, which became the cause of the coronavirus disease 2019 (COVID-19) that originated from Wuhan, China and quickly spread worldwide, leading to millions of cases and thousands of deaths The data is extracted from the google sheets associated with a dashboard created by Johns Hopkins University that depicts the countries in the world that have coronavirus infection The dataset, available from January 22 2020, consists of daily updated information on the infected countries along with the deaths and recoveries from the COVID-19 virus We showed the effect of COVID-19 worldwide, representing the countries that are majorly affected by the infection and scrutinizing coronavirus trends in India The techniques and measures that can be adapted to control the pandemic are also discussed in this study The coronavirus has affected 213 countries around the world till now The analysis is done using Python Programming Language, dated January 22, 2020 to August 1, 2020, while the virus continues to spread The paper scrutinizes trends of covid-19 in India by discussing the confirmed, recovered and death cases Results suggest that coronavirus infection is increasing greatly in Maharashtra, Tamil Nadu, Andhra Pradesh and Delhi It can be concluded that even though the infection originated from China, the country is successful in its attempt to decrease the transmission of the virus © IJCRR

In the fast pacing world, we commune from one place to another or one city to another with the means of vehicles. In recent years, data shows the worse conditions of the roads in Delhi with rapidly increasing of accidents. Roads in Delhi are more accident prone which creates more jeopardy to survive in Delhi for everyone. This problem persist from last few years due to various factors like open sewage, speed breakers, damaged roads which leads to loss of life of manhood and ecosystem. Since India is a developing nation there is a constant demand for good quality infrastructure, transportation and services. But since India is a vast country with quite a sizeable population this problem still has not yet addressed in totality. By using proposed methodology, for reducing the risk in the life of manhood as well as ecosystem by detecting all the factors for accidents and then improvement can be assured at the level of road safety management effectively and efficiently. Through this methodology, we can resolve these major issues by using Computer Vision, vision detector and Machine Learning so that drivers can easily aware of what ahead of them and act alertly before accident actually happens. Models are preinstalled on vehicles for safety purposes of the people, by using vision detector driver can acknowledge the obstruction ahead the car. Using the divergent and advanced technologies, live screening of the objects or obstacles ahead the vehicle will be visible to the driver for better ease and safe drive. Driver will get the notification from articulate assistant in any language by detecting the data ahead the car whilst specific range. Simple commands would comprise of “Speed Breaker ahead, slow down”.

Globally, Internet of things (IoT) is recieving a lot of popularity among its users, and it is the most popular new technology in the IT market. A few years back, it is hard to imagine that we can control our home appliances, physical devices, cars and other items remotely with our mobile phones but today it is possible because of IoT. We can instruct our appliances and devices even when we are not physically present there. This article gives the overall view of the Internet of things and also covers a case study of Back pain patients who can be diagnosed using IoT systems. The paper especially focuses on functionality and components of IoT and how it changes our daily life. In today’s society, it's use is limited, but as we are moving towards device connectivity, in few years it is used almost everywhere. Treatment of vertebral column disorders remains a challenge for orthopaedic surgeons, neurosurgeons and paediatrics. In the paper, we have tried to analyze how IoT is used in Computer aided diagnostic systems using dataset of orthopedic patients and how an IoT system automatically decide on health of a patient.

Every day we use tools to help us achieve tasks the use of a good tool in general will make a job much easier. When it comes to working with a computer, the tools we use are pieces of software which allow us to do our work. Without a text editor, it would be impossible to write a paper using a computer. In both the digital and real world, there are many options for tools for any job, and choosing the right tool can mean the difference between huge success and utter failure. For a software engineering project, the decision of what tools to use can make a large difference towards the cost and effectiveness of the project. Consider using a notepad text editor to write code for a project with tens of thousands of lines of code, it would be impractical at best. This paper is designed to identify the major tools used in a reengineering project, and identify what choices are available for each of those pieces of software. Prabhjot Singh Anand | Deepak Chahal | Latika Kharb "Tools for Software Re-Engineering" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-1 , December 2018, URL: https://www.ijtsrd.com/papers/ijtsrd19032.pdf

Being in the 21st century, technology changes within a particular period of time. As we know the data is obtaining larger day by day so its protection is also coming under the concern. data is growing at a faster rate so securing of data is also an important concern. Technology has covered the way for electronic devices such as smartwatches and smartphones and computers which make our lives convenient, easier and simpler. On the click of a button, we can get small to big information and we can make us updated about every new thing that comes in the market. Nowadays technology becomes that much advance that a person can reach to any point and perform any sort of work within a few seconds like weather it comes to pay bills, online shopping, money transfer, food delivery or to communicate with anyone through messaging apps or social media platforms with ur smartphones. So the data that we exchange daily, for shopping your cards and bank details or address details and contact number or your pictures and videos always need to be secured in the first place. A secured place is always successful in inviting more individuals. And today, securing your data or any kind of information has become an important thing to do. Security itself includes the securing of a person's any kind of data regarding him or her from the unauthorized access, modifications, disclosures or destructions. Priyanshi Gupta | Latika Kharb "Importance of Mobile Security" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29483.pdf

Agent-oriented techniques represent an exciting new means of analyzing, designing and building complex software systems. They have the potential to significantly improve current practice in software engineering and to extend the range of applications that can feasibly be tackled. Yet, to date, there have been few serious attempts to cast agent systems as a software engineering paradigm. This paper seeks to rectify this omission. Specifically, points to be argued include:firstly, the conceptual apparatus of agent-oriented systems is well-suited to building software solutions for complex systems and secondly, agent-oriented approaches represent a genuine advance over the current state of the art for engineering complex systems. Following on from this view, the major issues raised by adopting an agentoriented approach to software engineering are highlighted and discussed in this paper.