Author(s)
Shivani Shitole, Sahil Sanjay Pokharkar, Viraj Nitin Thite, Dinesh Rajendra Bhore, Vishal Jivanrao Khose
- ISSN (P): 3139-8464
- Manuscript ID: 141103
- Volume: 2
- Issue: 10
- Pages: 399–406
Subject Area: Computer Science and IT
Abstract
Selecting the right engineering college and branch through MHT CET CAP rounds is difficult because students need to analyze previous cutoff data and their personal preferences. This paper proposes an AI Powered CAP Round College Recommendation and Counselling System using historical MHT CET cutoff data from 2024, 2025, and 2026. The system considers percentile, category, gender, home university, preferred branch, and preferred location to identify suitable college options. Machine learning algorithms including Decision Tree, Random Forest, and K Nearest Neighbors are used for recommendation and ranking. The system aims to simplify the college selection process and generate a personalized CAP option form based on student preferences and historical admission trends.