A machine learning-based educational technology system that predicts student academic outcomes through three specialized models: final exam mark prediction, dropout risk assessment, and pass/fail forecasting. Built with Python, Flask, and scikit-learn to help educational institutions identify at-risk students and implement timely interventions.

Unlock academic insights with EduPredict, a Python-based machine learning tool achieving up to 90% accuracy. Train, evaluate, and deploy models locally with ease. Built for educators, students, and researchers aiming to forecast academic success.

Academic Insights provides interactive academic statistics and analyses for students and educators, utilizing modern web technologies. It serves as an essential tool for monitoring educational performance and progress.