Result Prediction System using Data Science and Behaviour Analysis

• Published in: International research journal of innovations in engineering and technology 2019-03, Vol.3 (3), p.6
• Main Authors: Mehta, Meet, Joshi, Hiresh, Singh, Anand, Gupta, Shiwani
• Format: Article
• Language: English
• Subjects: Algorithms; Data analysis; Data mining; Data science; Prediction models; Students; Travel time
• ISSN: 2581-3048

Students life today have become Monotonous. In the whilst, there’s a need of an hour to develop a predictive model that helps student to know their pointers in advance. The main purpose is to implement a realistic model that helps students to predict their grades. The model predicts the forthcoming result of the respective student by a blend of both Past Data analysis and Present Student Behavior such as daily/weekly average time spent on PC, wake up time, time devoted on Social media, time devoted on studies, travel time. Although there are many predictive algorithms which helps to calculate the grades, but the main thing lies in efficiency. This system bucolically uses the concept of data mining, data modeling, linear regression. We have built a predictive model keeping into mind the behavioral aspects, by building some formulas on the basis of the weights assigned. The predictive based model does not completely depend on accuracy, but it can sanguinely predict the approximate range, although in many other systems, different approaches have been used, mentioned in the latter part.