Machine Learning Framework for Prediction of Admission in Engineering College

Abstract

Utilizing machine learning (ML), enormous
amounts of information can be re-evaluated and
discover particular patterns that might not be
immediately noticeable or recognizable to humans. ML
strategies have increasingly been used to assess
educational data such as student class performance. In
the pursuit of the academic well-being of students, the
utilization of neoteric technologies such as data mining,
data management, and ML has increased. The idea of
extracting undisclosed information from many raw
databases is called data mining. Consequently, the
exploration of knowledge acquisition relates to
predictive ML models and subsequent decision-making.
State-of-the-arts of data mining and ML have become
more acceptable in predicting student examination
evaluations such as grades, achievement, etc.
Generally, conventional data mining for educational
data analysis aimed at solving problems in an
educational context can be described as educational
data mining. Currently, intelligent computer-based
methods such as artificial intelligence and data mining
have been successfully applied to improve people's daily
lives. A couple of million students participate in the
bachelor's entrance examination at government-run
universities each year in India. Nevertheless, only a few
thousand are admitted after this competitive
examination. In some cases, it was observed that many
candidates struggled hard during this period. However,
they could not get admission to a public university in
India, resulting in an unforeseeable future. Numerous
factors could be behind their unsuccessful admission to
a public university, such as family circumstances,
frustration, admission test anxiety, etc. However,
Indian students need admission to a public university
because private university education costs are too high
for middle-income and low-income families. In
contrast, the government primarily covers public
university costs. Therefore, this project implements the
prediction of college admission for engineering or
college students using machine learning algorithm