Post Graduate Admission Prediction Using ANN

Abstract

Abstract: Nowadays, we see many students showing interest in higher studies away from their home countries. Generally, students often lack sufficient knowledge about the requirements, procedures, specific details of universities in countries like the USA, UK, Canada, etc. As a result, they often turn to education consultancy firms for assistance in securing admission to universities that best align with their profiles. However, this process typically requires significant financial investment in consultancy fees. The objective of this project is to create a system using Artificial Neural Network (ANN) which helps to predict the percentage of chance of admittance of students by utilizing the various test attributes like GRE, TOEFL, Research papers etc., that will assist students in assessing the likelihood of their university applications being accepted i.e., it helps them to know about what is the chance of getting admission in reputed Foreign Universities. An intuitive user-friendly interface will be developed for the users to determine their chances of admission to a university by entering their various scores.