duleab/Africa-Food-Crisis-Early-Warning-System

This ML pipeline predicts severe food crises in 14 African nations 90 days in advance. By combining historical food security, conflict, and rainfall data, its XGBoost model achieves a 99.1% test F1-score. Predictions are visualized in an interactive Streamlit dashboard and live map, enabling humanitarian groups to proactively deploy aid.