Abstract: The objective of this project is to develop an autonomous vehicle that can operate without human input by perceiving its surroundings.The proposed concept, known as car automation, involves recognizing the road, signals, obstacles, and stop signs, and making decisions based on that information.By utilizing a Neural Network, the self-driving car can adjust its course, stop at red signals and signs, and proceed at green signals.The vehicle processes sensory input, tracks its trajectory, and sends instructions to the actuators responsible for acceleration, braking, and steering.A combination of hard-coded rules, proactive algorithms, predictive modeling, and intelligent object detection is employed to ensure adherence to transportation regulations.The project aims to create an automated vehicle that follows traffic rules and operates safely.Using advanced technologies and intelligent algorithms, the self-driving car can autonomously perceive road conditions, detect traffic signals, and respond accordingly.The Neural Network enhances decision-making, allowing the vehicle to adapt its path and respond appropriately to different scenarios.In summary, this project endeavors to develop a self-driving car that achieves automation through advanced perception, decision-making, and control systems.The software implementation employs various techniques to ensure reliable and efficient autonomous operation, ultimately enhancing road safety and transportation efficiency.