Autonomous RC car using Raspberry Pi and Neural Networks - Multunus

In this project, we will be building an autonomous rc car using supervised learning of a neural network with a single hidden layer. We will use a remote-controlled car with a Raspberry Pi and a Raspberry Pi camera module mounted on top. In the training mode, the camera module would provide images needed to train the neural network and in the autonomous mode; would provide the images to the trained model to predict the movements and direction of the car. You can find the Github repository for this project here. We will need a remote controlled car, a Raspberry Pi, a power bank, an L293D Motor Driver IC and some jumper wires to connect the circuits.