This project builds and trains machine learning models to predict NBA game winners (moneyline) and totals (over/under). It scrapes daily team statistics and sportsbook odds into SQLite databases, engineers matchup features, and runs XGBoost and neural network models to output win probabilities and expected value calculations. A Flask web app displays the predictions.