AI Self-Driving Donkey Car Kit for STEM Education | Raspberry Pi Autonomous Vehicle with Camera Sensor | Deep Learning Line Following Robot with Python & TensorFlow | Open-Source AI Car for Machine Vision, Obstacle Avoidance & Path Planning

AI self-driving robot teaches students autonomous navigation through hands-on coding with Raspberry Pi and Python. Deep learning car uses camera vision to detect lane lines, process frames in real time, and make driving decisions via TensorFlow models. STEM education platform connects hardware and software for experiments in image recognition, sensor fusion, and path planning. Machine vision module streams live video for data collection and training datasets.
Autonomous vehicle system implements reinforcement learning and PID control to improve turning precision and speed stability. IoT connectivity enables Wi-Fi telemetry and remote control through a web dashboard. Open-source design lets students customize camera angles, add ultrasonic sensors, and integrate ROS nodes for distributed simulation. Coding environment uses Python APIs so beginners can collect driving data and train neural networks for lane detection. The compact chassis ensures smooth movement and stability during long runs.
Educational AI kit bridges computer vision and robotics, helping learners understand how convolutional neural networks convert pixels into motor commands. Autonomous driving projects train students in real-world AI applications like image segmentation and behavioral cloning. By merging STEM learning, IoT integration, and open-source collaboration, the platform creates a foundation for future AI engineers and robotics researchers.