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

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.

Authors

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2025-02-13
DOI
https://doi.org/10.36948/ijfmr.2025.v07i01.36597
Primary Topic
Smart Systems and Machine Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

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 - et al.
International Journal For Multidisciplinary Research
Smart Systems and Machine Learning
article

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 -
article en

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.

International Journal For Multidisciplinary ResearchVol. 7(1)
Openalex Percentile: Top 98%
Smart Systems and Machine Learning
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