RepoGuard – GitHub Repository Abandonment Prediction

Built a dataset of +10,000 repositories via the GitHub API and a complete Machine Learning pipeline to predict repository abandonment: feature engineering across 19 variables, class imbalance handling (~15% inactive repositories), and supervised classification targeting a recall ≥0.80 on the inactive class. Deployed with Streamlit on Railway.