This project showcases the development of an advanced Intelligent Traffic Control System. Built with C++ and Python, it leverages cutting-edge Machine Learning techniques to optimize traffic flow and reduce congestion in real time.
This Project is focused on enhancing traffic management through AI and ML technologies. Responsibilities include training YOLOv7-tiny models for traffic detection, coding timing algorithms on Arduino Portenta, establishing WiFi/API communication between Jetson Nano and Portenta, developing expertise in AI/ML frameworks, embedded systems, and IoT integration while managing project milestones and driving innovation in traffic control systems.