This paper presents a comprehensive design and implementation of an AI-based parking management system tailored to address the challenges of modern parking facilities. The system is designed to enhance efficiency, reduce manual intervention, and optimize operational costs while providing a seamless experience for drivers. The core architecture of the system integrates advanced technologies, including computer vision and IR sensors, thereby minimizing reliance on conventional sensors and streamlining the parking process. By leveraging computer vision, the system continuously monitors parking areas in real-time, accurately detecting vehicle occupancy status, and dynamically updating the availability of parking spaces. This real-time monitoring capability enables efficient space utilization, allowing for the optimization of parking resources. In addition to optimizing space allocation, the proposed system prioritizes security through the integration of video surveillance. Utilizing AI algorithms, the system promptly detects and alerts authorities to any suspicious activities within the parking facility, thus enhancing overall safety and security. Furthermore, the system offers user-friendly features aimed at improving the parking experience for drivers. Intelligent navigation assistance guides drivers to the nearest available parking spot, minimizing search time and frustration. The user interface, accessible through intuitive display panels, provides drivers with real-time updates on parking availability, ensuring a convenient and hassle-free parking experience. Overall, this AI-based parking management system represents a significant advancement in parking technology, offering a holistic solution to the challenges faced by parking facilities. By combining automation, real-time monitoring, enhanced security measures, and user-friendly interfaces, the system sets a new standard for efficiency, convenience, and safety in parking management.