AI Self-Driving Car Using Raspberry Pi and YOLO

This project presents an AI-based self-driving robotic car that uses a Raspberry Pi microcontroller integrated with a webcam and YOLO (You Only Look Once) object detection model to identify and respond to various traffic signs. A robot chassis is used to enable physical movement and simulate real-world navigation. The system is trained to recognize eight critical traffic signs: Stop, Left Turn, Right Turn, Green Light, Red Light, School Zone, Work in Progress, and Zebra Crossing. Upon detection of a particular sign through the webcam, the YOLO model classifies it in real-time, and the Raspberry Pi processes the decision to control the robot's movement accordingly. This allows the robot to stop, turn, or adjust its behavior depending on the detected traffic symbol, enabling basic autonomous navigation. The proposed system demonstrates the potential of integrating deep learning models with embedded systems for intelligent transportation and serves as a foundation for further advancements in self-driving vehicle technologies.