International Journal of Scientific Research and Engineering Development

The proliferation of Electric Vehicles (EVs) creates an urgent demand for accessible charging infrastructure. However, current navigation solutions predominantly rely on paid proprietary ecosystems like the Google Maps Platform, which imposes high operational costs and data opacity on developers. This research presents the design and implementation of a Web-Based EV Charging Station Finder that operates entirely independently of commercial APIs. The proposed system utilizes a specific open-source stack: Leaflet.js for interactive map rendering, OpenStreetMap (OSM) for tile data, Nominatim for geocoding services, and the Leaflet Routing Machine (powered by OSRM) for turn-by-turn navigation. The backend is built using Node.js and Express.js with MongoDB as the database, while the frontend is developed using plain HTML, CSS, and Vanilla JavaScript — making the system lightweight and universally deployable without framework overhead. This paper evaluates the system's architecture, demonstrating how this opensource stack achieves low-latency proximity queries and zero operational cost, offering a scalable blueprint for sustainable EV infrastructure management.

Premkumar P, K. Thenmozhi, "Electric Vehicle Recharge to Find Nearest Charging Station Using Web Application" International Journal of Scientific Research and Engineering Development, V9(2): Page(211-216) Mar-Apr 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.