Football Injury Prediction System – Sports Health Analytics

Football clubs needed to shift from reactive injury handling to predictive risk assessment, enabling coaching and medical staff to make proactive decisions protecting player health.

Developed machine learning models (Random Forest, XGBoost, MLP) with SMOTE for class imbalance. Built interactive Streamlit UI for real-time predictions accessible to non-technical staff.