Authors : A. Alagar; R. Mohana Brintha; R. Pavithra; S. R. Navya

Volume/Issue : Volume 11 - 2026, Issue 4 - April

Google Scholar : https://tinyurl.com/mwnzc8kx

Scribd : https://tinyurl.com/bdfjmw6f

DOI : https://doi.org/10.38124/ijisrt/26apr199

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Abstract : The intelligent real-time parking availability and booking system presented in this project is intended to lessen traffic jams and the time lost looking for parking spots. To effectively manage users, parking sites, slots, and bookings, the system combines a web-based frontend with a backend powered by Python, Flask, and MongoDB. Users can reserve spots up to one hour in advance, check parking availability in real time, and get email booking confirmations with QR codes for easy access and departure. Locations, slots, users, and system analytics can all be managed via an admin panel. A machine learning model is also included to forecast parking occupancy and suggest the best times to arrive based on past data and temporal trends. In order to ensure effective slot use, the system also has automated procedures for releasing expired reservations. All things considered, the solution improves user convenience, maximizes parking management, and promotes more intelligent urban transportation.

Keywords : Real-Time Parking Availability, Parking Slot Booking, Parking Management System, Flask Backend, MongoDB Database, JWT Authentication, QR Code Booking, Slot Allocation, Admin Dashboard, Booking System, Parking Occupancy Prediction, Machine Learning Model, Time-Based Prediction, Slot Availability Tracking, Automated Booking Expiry.

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