The final part of this weather service project integrates OpenWeatherMap forecasts with a custom AI model for predictive analytics. Developers used Linear Regression to train a model on historical data, enabling same-day weather predictions.

This approach combines professional forecasting with homemade machine learning. The system pulls 5-day forecasts from OpenWeatherMap and generates its own 1-day outlook. Both are displayed side-by-side for accuracy comparisons.

Results appear in updated dashboard cards and charts. Users see visual cues like colored differences and striped bars to distinguish real data from predictions. The project showcases how small teams can build smart weather tools using free-tier APIs and open-source libraries.