Vehicle security could be a developing concern in today's world, with increasing cases of robbery and unauthorized access. This paper presents an AI-powered vehicle security framework that guarantees access to only authorized and enlisted users to start the vehicle. The framework utilizes fake insights procedures for client confirmation, avoiding unauthorized get-in and activating prompt e-mail alarms to the proprietor in case of suspicious movement. All authorized client information, counting get to times and movement logs, is put away safely in a backend framework, open through a web-based dashboard for real-time observation. It uses Raspberry Pi as hardware and machine learning for computing and computation to improve security and decision-making. The solution is to predict unauthorized access and generate alarms in real time, and implement a reliable solution for modern security and challenges, and data of authorized vehicle users are stored for real-time monitoring.