Smart-Traffic-Management

## Smart Traffic Management Intelligent traffic management system designed to monitor, analyze, and optimize road traffic using sensors, cameras, and data-driven algorithms. ## Key Features - Video/sensor ingestion pipeline (camera streams and file upload) - Vehicle detection, classification and counting (CV/ML pipelines) - Real-time congestion and incident detection - Dashboard for live monitoring and historical analytics - REST API for querying metrics and controlling signals - Docker-friendly deployment and CI-friendly tests ## Use Cases - Real-time congestion detection and alerts - Historical traffic analytics and reporting - Adaptive traffic signal control - Integration with municipal dashboards and IoT sensors ## Technologies Python, Jupyter Notebook, TypeScript, OpenCV, TensorFlow, FastAPI, React ## Repository https://github.com/MishraShardendu22/Smart-Traffic-Management

Intelligent traffic management system using computer vision, vehicle detection, and ML-based congestion prediction