EduChoice-An Ensemble-Based Approach to College Admission Prediction
DOI:
https://doi.org/10.47392/IRJAEH.2026.0444Keywords:
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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Copyright (c) 2026 International Research Journal on Advanced Engineering Hub (IRJAEH)

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