EduChoice-An Ensemble-Based Approach to College Admission Prediction

Authors

  • Pradnya Bachhav Assistant Professor, Computer Engineering, Pradnya Bachhav Guru Gobind Singh College of Engineering and Research Center, Nashik, Maharashtra. Author
  • Srushti Dhage UG - Computer Engineering, Srushti Dhage Guru Gobind Singh College of Engineering and Research Center, Nashik, Maharashtra. Author
  • Sarthak Palde UG - Computer Engineering, Srushti Dhage Guru Gobind Singh College of Engineering and Research Center, Nashik, Maharashtra. Author
  • Ninad Kawade UG - Computer Engineering, Srushti Dhage Guru Gobind Singh College of Engineering and Research Center, Nashik, Maharashtra. Author

DOI:

https://doi.org/10.47392/IRJAEH.2026.0444

Keywords:

Machine Learning, AdaBoost, XGBoost,, College Prediction, Ensemble Learning, Data-Driven Decision Making.

Abstract

EduChoice is a web-based application designed to assist Maharashtra CET aspirants in selecting suitable engineering colleges through machine learning–based predictions. By leveraging a hybrid approach that combines ensemble models such as AdaBoost and XGBoost, the system predicts admission chances as High, Medium, or Low based on PCM percentile, category, course preferences, and location. It features round-wise cutoff displays and advanced filtering options to enhance decision- making accuracy, transparency, and efficiency, providing a smart and user-friendly solution to simplify the college selection process.

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Published

2026-05-04

How to Cite

EduChoice-An Ensemble-Based Approach to College Admission Prediction. (2026). International Research Journal on Advanced Engineering Hub (IRJAEH), 4(05), 3436-3441. https://doi.org/10.47392/IRJAEH.2026.0444