International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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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
Cite This AI Powered Recommendation A study on college selection system for supporting students Aspirants - Minal A Pardey, Pritam S Vijaykar, Rohit P Sonare, Devdatta S Kale, Yash S Mane - IJFMR Volume 7, Issue 1, January-February 2025. DOI 10.36948/ijfmr.2025.v07i01.36597
DOI https://doi.org/10.36948/ijfmr.2025.v07i01.36597
Short DOI https://doi.org/g84xxd
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