CSE Undergraduate '26
Full-stack Student Performance Analysis system using Python and React. Backend implements ML models to predict student grades, while the frontend provides an interactive UI to display results. Includes data preprocessing, model training, and visualization components.
A machine learning project that detects potential exoplanets using a Random Forest model trained on NASA’s Kepler Object of Interest (KOI) dataset. It analyzes stellar and orbital parameters to classify confirmed exoplanets vs. false positives with high accuracy.