Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{178123,
        author = {Harscini A and Asan Nainar M},
        title = {Search Optimization for parking lot using Machine Learning Techniques},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {2847-2853},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178123},
        abstract = {In densely populated urban environments, the search for convenient parking often contributes to significant traffic congestion, fuel consumption, and lost time. This project introduces a smart parking solution through a web and mobile-based platform that enables users to list and reserve parking spaces in real-time. Users with available spaces—either temporary or permanent—can register their spots by entering details such as location, contact information, and a brief description of the space.
Other users can seamlessly search for nearby parking based on their location, view available slots, and make instant bookings. Once a space is reserved and occupied, it is automatically removed from the listing to prevent duplicate bookings. A machine learning algorithm dynamically calculates the parking charges by evaluating demand levels, parking duration, and location-based factors.
The system incorporates secure online payments via an integrated gateway, streamlining the user experience. Built using HTML, CSS, and JavaScript for the frontend, Python or PHP for the backend, and MySQL for data management, this application serves as a comprehensive and scalable solution for urban parking challenges. By optimizing parking availability and automating pricing, the system enhances efficiency, reduces congestion, and supports better space utilization in cities.},
        keywords = {},
        month = {May},
        }