We leveraged Al and ML models implemented with Keras, ensuring advanced and accurate predictions. The tech stack included Python as the primary programming language, Keras for building and training the ML models, and Numpy, Pandas, and Matplotlib for data manipulation and visualization. The backend was powered by Flask, providing scalable API, and the project utilized AWS for deployment, ensuring seamless integration and scalability in a cloud environment. This comprehensive tech stack enabled the creation of a sophisticated EV charging station solution with predictive capabilities.

• + Payment integration
• + Backend API for data access
• + Front-end Development
• + Cloud deployment
• + System Development