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The project aims at designing an autonomous robot equipped with a camera capable of safe navigation in an outdoor environment by developing a model that predict the steering angle using images obtained from the camera mimics the driver's vision, and then the reaction, control of the vehicle. Based on the images from the cameras gained in the manual mode, the neural network is trained using deep learning. Using this trained deep neural network leads to autonomous driving. The driver behavioral cloning algorithm developed on this project is based on the NVIDIA convolutional neural network model. This project will help people to use their time in more useful way than driving, also this will help people with disabilities, and reduce accidents. Udacity self-driving car simulator is used to test the performance of the model in real time.