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{150295,
        author = {Amey Pandit and Piyush Patil and Harish Parihar and Kiran Jare and Darshana.R.Patil},
        title = {Smart Car Parking system},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {7},
        number = {4},
        pages = {285-287},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=150295},
        abstract = {Smart Parking assistance is a deep learning based product. In many cities, automobiles are one of the main reasons to rising emissions. According to survey, 30% of the traffic in urban areas is caused by drivers and motorists looking for parking spaces. The smart parking assistance provides a simple and effective solution that is integrated with existing parking space sensors (video cameras). With Convolutional Neural Network  (CNN),the parking slot availability status is updated in real-time. User with simple GUI application can book slot on preferred location based on availability of parking slot. Based on choice preferences of user and historical data of user on frequent visit to liked destinations, advanced slot booking option is made available to avoid unnecessary extra charges and smoothen the traffic by reducing traffic congestion.},
        keywords = {Deep Learning, Convolutional Neural Network, WIFI, Android Application, Machine Learning.},
        month = {},
        }