Case study
FerryForecast
A data-driven Nantucket ferry forecasting tool that predicts trip-level cancellation risk using real-time marine weather data, vessel schedules, and a machine-learning model trained on 33,000+ historical trips.
A focused utility for the Nantucket–Hyannis crossing. Probability forecasts calibrated against historical data, layered with live conditions from NOAA buoys.