AI Powered Recommendation A study on college selection system for supporting students Aspirants

Author(s)	Minal A Pardey, Pritam S Vijaykar, Rohit P Sonare, Devdatta S Kale, Yash S Mane
Country	India
Abstract	In the modern educational environment, choosing the right college is a vital but often overwhelming decision for students. With the increasing number of institutions and diverse admission criteria, students frequently face challenges in making well-informed choices. This paper explores the review on AI-powered College Recommendation System designed to assist student aspirants by providing personalized suggestions based on their academic performance, preferences, and additional factors. Using Artificial Intelligence and Machine Learning (AIML), the system integrates historical admission data, college rankings, and cut-off scores to guide students toward suitable institutions. The study demonstrates the potential of AI to simplify the college selection process, offering a reliable tool for students to confidently navigate their options.
Keywords	College recommendation system, Artificial Intelligence, Machine Learning, MHTCET, JEE Mains, personalized recommendations.
Field	Engineering
Published In	Volume 7, Issue 1, January-February 2025
Published On	2025-02-13
DOI	https://doi.org/10.36948/ijfmr.2025.v07i01.36597
Short DOI	https://doi.org/g84xxd

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