A cutting-edge AI-powered solution designed to revolutionize urban traffic management through real-time vehicle detection, intelligent congestion analysis, and predictive analytics.
Urban traffic congestion leads to wasted time, increased pollution, and economic losses. Traditional traffic management systems are reactive and inefficient.
TrafficMind leverages advanced computer vision and AI to provide real-time insights, enabling traffic authorities to make data-driven decisions and optimize traffic flow proactively.
Python, FastAPI, YOLOv8, OpenCV, PostgreSQL
Next.js 15, React 19, TypeScript, Tailwind CSS
RTMP Streaming, WebSocket, Cloud Deployment
Innovative vision and technical expertise behind TrafficMind
Final Year Project Developer
A passionate computer science student with a keen interest in artificial intelligence, computer vision, and full-stack development. Dedicated to solving real-world problems through innovative technology and creating impactful solutions for smart city management.
This project represents months of research, development, and optimization to create a production-ready smart traffic management solution.