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Parking management now faces formidable obstacles as a result of rising urbanization and vehicle numbers. An interactive strategy for parking management systems through a fully integrated automated intelligent Parking system has been suggested as a solution for large parking areas. The assessment places a strong emphasis on the use of automation and interactive parking by detecting vehicle license plates using YOLOv5, OpenCV and Ptytesseract, followed by the development of an interactive website using Flask framework with CSS and Bootstrap. All data is stored on a cloudbase MongoDB. Through the use of these technologies, one can enable vehicles to find available parking spaces, cutting down on search time and enhancing traffic flow. Furthermore, user participation and input contribute to the successful deployment of smart parking systems by delivering real-time information and interactive …