• Dr. Rohini Hanchate
• Shraddha Choche
• Harshali Desale
• Pratiksha Bhandalkar
• Prof. Pritam Ahire

With the growing number of aspirants applying to professional courses through Common Entrance Tests (CET), the college selection process has become increasingly complex and stressful. Students often struggle to determine which colleges they are eligible for based on their scores, category, and preferred courses. This research proposes a solution in the form of a CET College Predictor, a web-based intelligent support system that utilizes historical counseling data to predict college admission possibilities. Developed using Python, Streamlit, and MySQL, the system enables real-time prediction based on CET scores and category filters. The interactive interface guides students in identifying realistic college options, thus reducing anxiety and aiding in informed decision-making. This paper details the system architecture, data handling, prediction logic, and the benefits of integrating such a tool into the educational counseling ecosystem.

MHT-CET, College Prediction, Educational Counseling, Streamlit, MySQL, Rank Analysis, Web Application, Admission Guidance, Career Decision Support

"Simplifying College Selection : A Predictive Counselling Tool for CET Aspirants", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.e1-e6, May-2025, Available :http://www.jetir.org/papers/JETIR2505465.pdf

"Simplifying College Selection : A Predictive Counselling Tool for CET Aspirants", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. ppe1-e6, May-2025, Available at : http://www.jetir.org/papers/JETIR2505465.pdf