Student Performance Assessment and Prediction System using Machine Learning

Student Performance Analysis System is an emerging field and is very crucial to schools and universities in helping their students and professors. Most of the pre-existing methods are based only on past academic performance of students. This paper aims to develop models which can predict the student's performance and grades while keeping in mind other equally essential personality factors like interests, attributes and opinions (IAO variables) which affect their lifestyle. It uses various machine learning and deep learning techniques to predict the performance of students, and basic exploratory data analysis to derive various correlations of student's performance with psychographic attributes.