This project is one of my ongoing Machine learning projects. I’ve done some regression and classification problems using machine learning. This falls under the classification type category. Here I plan to manually drive the car, capture images, and record their corresponding steering values in a CSV file. Subsequently, I will process the data, involving tasks like cleaning, normalizing images, and partitioning the dataset into training and testing sets. The core of the project lies in training a deep learning model, testing it, and fine-tuning parameters for maximum accuracy. Finally, use the model to make a fully autonomous vehicle that can make decisions just like Tesla. For now, It will be able to adjust the turn value keeping a constant speed.

Beyond this immediate objective, the completion of this project will establish my own workable pipeline to make the robot learn additional data in the future. This includes data of road signals, traffic jams, human crossing, and road conditions. Basically, I aim to enhance the robot’s capabilities, enabling it not only to adjust turn values but also to regulate its speed in response to various scenarios.