About EduPredict

EduPredict is a predictive analytics system developed for Kolej Tingkatan Enam Sultan Abdul Aziz (KTESAA) to help teachers forecast student academic performance — specifically for the Bahasa Melayu Semester 3 subject.

By analyzing internal test scores, attendance records, and trial exam marks, the system uses machine learning to classify students into three performance categories:

High, Medium and Low

Teachers are empowered to take early action for at-risk students and improve overall performance outcomes. Students can also simulate their expected results and understand how their academic behavior affects predictions.

This initiative is part of a Final Year Project to promote AI in education while supporting school interventions that are data-driven and student-centered.