Paper Key : IRJ************289
Author: Kartik Annasaheb Kesbhat,Kumar Manglam,Prerna Mane,Anuska Kshirsagar
Date Published: 09 Nov 2024
Abstract
In urban areas, finding available parking spaces is increasingly difficult, leading to wasted time, fuel, and increased traffic congestion. Additionally, many private parking spaces remain underutilized. To address these challenges, our project "PARK-IT" aims to create a web-based platform that allows users to both host their personal parking spaces and book available parking spots. By leveraging Web Technology and Machine Learning, the platform seeks to optimize parking space usage and provide a seamless experience for users. "PARK-IT" leverages Web Technology for platform development, ensuring seamless interaction and functionality. Machine Learning algorithms are employed to predict if a vehicle will fit in a designated parking space based on various factors, including vehicle dimensions and space characteristics. The platform integrates real-time data to enhance the accuracy and reliability of these predictions. The expected outcome is a robust platform where users can conveniently host and book parking spaces. The effectiveness of the platform will be measured through user satisfaction and the accuracy of the parking availability predictions, compared against existing parking solutions. "PARK-IT" is poised to transform urban parking management by making it easier for users to find and book parking spaces. The platforms dual functionality of hosting and booking spaces offers a comprehensive solution to current parking challenges, with potential benefits for individual users and the broader urban environment
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