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@article{178851,
        author = {Ritika Sakharwade and Pankaj Maudekar and Dhanshri Patle and Danish Sheikh and Vicky Patle and Rakesh Jambhulkar},
        title = {SURVEY ON EV CHARGING LOCATOR},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {4885-4888},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178851},
        abstract = {As the global shift toward sustainable transportation accelerates, electric vehicles (EVs) are gaining significant traction. This project, titled “EV Charging Locator”, aims to address this gap by developing an intelligent, user-friendly application that helps EV users locate nearby charging stations with ease, efficiency, and reliability. The EV Charging Locator system leverages real-time GPS data, cloud-based services, and smart algorithms to identify and display the closest available EV charging stations based on the user’s current location. The application also provides crucial information such as charger type (AC/DC), availability status, pricing, station ratings, and operational hours. This empowers users to make informed decisions and plan their routes more effectively. To enhance usability, the system incorporates advanced features such as route optimization, predictive analytics for station availability, and personalized recommendations based on user preferences and charging history. Integration of secure payment gateways also facilitates a seamless charging experience by allowing users to book and pay for charging slots in advance. The backend architecture ensures scalability and real-time data handling, making the application suitable for integration with city-wide smart mobility initiatives. The system has been designed with a modular approach, ensuring easy expansion as new charging stations are installed.},
        keywords = {EV Charging, Locator, electric vehicle, AC/DC.},
        month = {May},
        }