Search

Attendance is an important aspect to record the presence of students. The presence of someone is a way to address that the student is carrying out their obligations to come. Usually, attendance is done manually using pen-paper. This digital era has brought forth new technologies that can help deal with this absence of students in organisations. Automatic Face Recognition (AFR) technologies have made many improvements as well as advancements in the field of biometrics. It uses RealTime Face Recognition as a solution to keep a record of the attendance. The Face recognition approach has proven to be the best of all Biometrical sources of identification. We propose a face recognition desktop application that will automatically update a student's attendance into the database on the web server, providing an ease to the faculty. Even students can know their attendance just by a login. A report based on student’s attendance can help in evaluating the attendance eligibility criteria. In this face recognition desktop application, we use Machine Learning and Deep Learning algorithms to capture multiple images of students to reduce human errors and proxy attendance. This desktop application is much more efficient and safer than the traditional pen paper method. Keywords: Attendance system, Automated attendance, Image Processing, Face detection, Feature matching, Face recognition.

Law acts as a guideline to what is accepted in society. Hence, it is imperative for various organisations who abide by these guidelines. Indian Company Law was presented by government for the benefit of people. Companies Law is a means of discipline, regulations and guidelines while governing an enterprise. In order to understand Company Law, it is important for us to know about what a company is and what are its various forms. Seeing the need of the hour, our national government created a team, IRANI COMMITTEE, which introduced Companies Bill in 2012 which got approved and is known as Companies Act, 2013 today. Companies Act states the framework of an enterprise or an organisation. The authors try to elucidate on the journey of Indian Company Law by discussing various forms of companies, incorporation of a business and approval and removal of its Board of Directors.

We aim at recognising the reasons that discourage female medical students to consider neurosurgery as a career, from an Indian perspective.An online survey was disseminated in various medical colleges of India. The study included female medical students (both cis and trans). The questionnaire consisted of objective questions on mentorship, opportunities and exposure. Their concerns on long working hours and the reasons for the same were recorded.348 responses were included of which 79.9 % of students felt they didn't receive proper exposure to neurosurgery in their medical school. 87.4 % of the respondents faced a lack of opportunity and mentorship for research. 65.2 % of students felt that they would be more interested in neurosurgery if a female professor were to mentor them. Long working hours and Reduced Family and Personal time were identified as statistically significant factors (p 0.001) that play a role in demotivating female medical students towards neurosurgery. Altered quality of life was the most frequent (79.49 %) and significant reason (p = 0.004) as to why long working hours were a concern for them. 65.07 % of participants did not consider physical strength to be a hurdle (p = 0.008). Approximately 37.6 % participants felt that maternity and neurosurgery could be incompatible (p = 0.005).The study brings out the notions that female medical students have regarding the long working hours and decreased family and personal time, complicated by pregnancy and maternal leave in the life of female neurosurgeon.

The continuously increasing volume of documents in different fields has rendered document classification by manual labor infeasible. This has led to the genesis of automatic classification with the help of a myriad of techniques like Data Mining, Machine learning, and Deep Learning (N.L.P). This automation prevents human error and, more importantly, builds up speed, which is critical given the volubility of the data. Document classification has seen many developments in the past decade. This paper presents a comprehensive analysis of various state-of-the-art deep-learning algorithms for document classification and perform extensive experiments on these techniques. The performance of these algorithms is analyzed quantitatively using established metrics.

COVID-19 originally known as Corona virus has been declared as pandemic by the World Health Organization on 11th March 2020. This infectious disease discovered from Wuhan, China in December 2019 and has affected millions of people around the world. Every country around the world is undergoing global economic crises and therefore, it’ s the need of an hour to predict the prevalence and incidence of this disease throughout the world. This will help the medical practitioners and government agencies in India to make key decisions and appropriate measures to demystify the disease and prevent the country from global economic recession. This paper aims to analyze the number of cases in India by utilizing the machine learning techniques and exploratory data analysis to observe the growth patterns and map the increase in the frequency of those infected. The source of data was authentic COVID-19website which was showing confirmed diseased cases of Delhi, Uttar Pradesh and India as a whole. The count of confirmed cases taken from 14th March 2020 to 3rd September 2020 put together will help to know how effective the current efforts have been and also help to realize the need of working further to combat this virus. This research focuses on predicting the possible number of confirmed cases using techniques of data mining, data analysis with particularly regression, clustering and predictive analysis. The primary focus is to predict the number of cases in the coming month and finding out that whether there is relation between temperature with number of confirmed cases or not.

The media plays a major role in forming an opinion in society maybe that is why it is considered as one of the pillars of democracy. Recently, the media has shown its power in the case of Sushant Singh Rajput where a family who is accused is already remarked as culprits by the process of media trial. This case is not the first in the list Indian media has many times shown that TRP is above some lives. Media trial is one of the most talked-about words recently. The idea of a media trial is such that the media is successful in showing or proving events that were kept as secret or tried to be kept as secret. Many times, these trials can cause wrongful portrayal of the accused and can also destroy the career of the accused even before the court declare them guilt but sometimes the media trial is helpful in solving many cases or to give them lead for solving a case. Basically, everything has its positive and negative impact the same goes with media and its unofficial trials. The research article tries to actually recognize the advantage and disadvantages of media trail with the impact on today’s society and is media trials justified under the law? Generally, Media trials are given under Article 19(1) which provide a fundamental right of Freedom of Expression. The right under Article 19 (1) gives the right to hold on to opinions without any interference and impart information, ideas without any kind of interruption. It is considered that Freedom to the Media is indirect Freedom given to the people. KEYWORDS - Media trial, Media, Freedom of Speech, Democracy, Fundamental Right.