Enhancing Capabilities of Recommendation System for Electric Vehicles Using Reinforcement Learning

In the future, electric vehicles, including automobiles, motorcycles, and public transport, are expected to play a significant role in daily commutes. However, India's current infrastructure lacks a wellestablished and integrated network of charging stations to support this growth. This application aims to bridge that gap by providing electric vehicle users with detailed information about charging stations, including availability, status, number of chargers, and compatibility with their vehicles. Users can also book chargers in advance for a hassle-free experience. A key feature of the application is the ability to plan longdistance trips by mapping out routes with real-time information on charger locations and availability, ensuring access to functional chargers throughout their journey. This application includes a review section where users can share feedback, helping others make informed decisions about where to charge. For businesses, the application offers specialized subscription services to companies like Uber that operate electric vehicle-based taxis, allowing them to book entire charging stations and access administrative features. Additionally, small businesses and private charger owners can register their chargers for public use, contributing to the charging network while ensuring transparency and reliability for users through real-time data sharing.