The project uses a machine learning algorithm (Gradient Boosting Regressor), multiple interactive visualisations, and environmental factors to predict real-time traffic congestion levels. It features an interactive dashboard, a 24-hour congestion forecast, and visual insights for current and hourly congestion trends. It also recommends alternative routes, optimal travel times, and sustainable travel options.
