Parking Lot Management System
Sanjana M
The rapid growth of urbanization and the continuous increase in the number of vehicles have created serious challenges in managing parking spaces efficiently. The majority of conventional parking systems are manual ineffective and frequently lead to traffic jams time wastage and inefficient use of available parking spaces. to overcome these obstacles. This project offers a smart parking management system that combines artificial intelligence and web technologies to offer an automated and clever parking solution. SQLite is used in the development of the suggested system which is built with Python and the Flask framework. for the administration of databases. Online parking reservations automated vehicle check-in and check-out real-time parking slot monitoring and dynamic billing based on parking duration are all made possible by it. To accurately identify vehicles during entry and exit an AI-based vehicle number plate recognition module is integrated minimizing human error and intervention. Additionally the system has a machine learning-based parking demand prediction mechanism that helps administrators plan parking effectively by identifying peak hours and estimating future occupancy trends. Additionally the system offers an AI-powered chatbot to help users with parking availability booking payment details and general inquiries. It also supports a variety of digital payment methods. Administrators can monitor revenue usage trends and overall parking efficiency with the aid of comprehensive reports and analytics. The suggested Smart Parking Management System maximizes resources eases traffic and enhances user convenience. usage and helps to build the infrastructure of smart cities