urbanflow-ai

UrbanFlow AI is an open-source urban congestion forecasting platform designed to analyze and predict traffic patterns across Indian cities.

Unlike traditional navigation apps that only display real-time traffic conditions, UrbanFlow AI focuses on historical trend analysis and predictive modeling. The platform uses machine learning techniques to forecast congestion levels based on time, weekday patterns, and historical traffic data.

The system architecture includes:

• Interactive map visualization using Leaflet

• Backend API built with FastAPI

• Machine learning pipeline using scikit-learn

• Time-series congestion prediction models

• Model evaluation using MAE and RMSE

UrbanFlow AI is built as a Free & Open Source Software (FOSS) project aimed at supporting smart city research, urban planning, and data-driven infrastructure decisions.

Planned features include:

• Hourly congestion forecasting

• Heatmap visualization of congestion intensity

• Weather impact modeling

• Event-based traffic spike prediction

• Pollution overlay integration

This project demonstrates end-to-end system design including frontend visualization, backend API development, machine learning model training, and deployment-ready architecture.