Machine learning pipeline for predicting hourly bus ridership in Trondheim, Norway. Random Forest model achieves MAE 1.40 using weather data, events, and temporal patterns. Complete production pipeline from data collection to business insights. Built with Python, scikit-learn, and Frost API.

FlowCast is an advanced forecasting system that leverages historical and real-time data to provide precise predictions of passenger flows and public transit demand.