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@article{175255,
        author = {Milind Kulkarni and Asmita Pawar and Anuja Kute and Angha Pawar and Pradyot Patwal and Mohit Kukde},
        title = {Intelligent Parking Solutions: AI, Cloud, and Secure Digital Transactions},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {7185-7190},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=175255},
        abstract = {Rapid urbanization and the exponential increase in vehicle ownership have now crowded out inefficient parking management, which eventually congests traffic, fuel waste, and environmental impacts. Purpose of the research: The next-generation automated car parking system presented in this research is revolutionary system to converge traditional parking methods by using Artificial Intelligence (AI) and Cloud Computing for improved security and real-time monitoring to increase efficiency. Built in Java, NetBeans Product with Spring boot validation, SQL database, and remotely accessible Web Services (RESTful APIs), our system creates availability dashboard for customers to have choices on booked/deluged spots in real time which is easy to use from a mobile browser.One can easily reserve for a shorter time span, make secured digital payment using UPI/Paypal or any other online gateway and get automated e-receipt which renders a hassle and cashless experience. In addition, the system we develop combines AI predictive analytics to better optimize how space is distributed and predict demand. Also, a cloud data management system stores history of bookings, follows up about user details, parking duration, and transaction record in big data analytics for smart city apps. Compared to traditional parking solutions, our system has much lower operational costs, enhances security, improves traffic flow in cities, and minimizes environmental degradation. Using state-of-the-art technologies and automation, this smart parking solution will be the cornerstone of the future sustainable and self-driving urban mobility services, specifically meeting increasing needs for smart, intelligent, efficient scalable parking facilities.},
        keywords = {Automated Car Parking System, Artificial Intelligence, Cloud Computing, Smart Parking, Java, SQL Database, Spring Boot, Online Payment, Parking Management, Urban Mobility, Predictive Analytics, Big Data, Smart City Solutions.},
        month = {April},
        }