ChargeNet – A Collaborative AI Platform for EV Charging Optimization

Project Overview

ChargeNet is an AI-driven platform for optimizing the placement of EV charging stations based on user feedback, real-time energy demand, and supply balancing. The platform integrates AI algorithms, real-time data, and crowdsourced input to create a dynamic and user-friendly experience.

Getting Started

Prerequisites Make sure you have the following software installed: Node.js (version 14 or higher) npm or yarn (for managing dependencies)

Clone the Repository

Copy code git clone https://github.com/your-username/ChargeNet.git cd ChargeNet

Install Dependencies

Run the following command to install all required dependencies:

Copy code npm install Alternatively, if you're using yarn:

Copy code yarn install

Project Dependencies

Here’s the list of all dependencies required for the project:

Core Dependencies:

React (react, react-dom) – UI library for building the frontend.

Copy code npm install react react-dom Vite – A fast build tool and dev server.

Copy code npm install vite Material-UI (MUI) – For the user interface components.

Copy code npm install @mui/material @emotion/react @emotion/styled

Axios – For making HTTP requests (used to fetch EV charging station data).

Copy code npm install axios React Router (optional, for navigation and routing)

Copy code npm install react-router-dom React-Leaflet and Leaflet – For integrating maps into the UI and showing EV station markers.

Copy code npm install react-leaflet leaflet Leaflet CSS – Leaflet CSS file for map styles.

Copy code npm install leaflet Optional Dependencies: React Icons (for icons like search, refresh, etc.)

Copy code npm install @mui/icons-material SWC (Speedy Web Compiler) – Integrated with Vite for faster builds.

ESLint & Prettier (for code linting and formatting)

Copy code npm install eslint prettier --save-dev React-Responsive (for handling media queries and responsiveness)

Copy code npm install react-responsive Service Worker/PWA Support (optional, for making the app a progressive web app)

Copy code npm install vite-plugin-pwa Intel Libraries for AI and Performance Optimizations: Intel® MKL (for AI performance optimizations)

Copy code conda install -c intel mkl Intel® DAAL (for data analytics optimizations)

Copy code conda install -c intel daal OpenVINO™ Toolkit (for optimized deep learning inference)

Environment Variables

Make sure to set up the following environment variables:

NREL API Key (for fetching EV charging stations) Sign up for an API key from NREL's Developer Network.

Create a .env file in the root of your project and add:

Copy code REACT_APP_NREL_API_KEY=your-api-key-here Running the Development Server After installing the dependencies, run the following command to start the development server:

Copy code npm run dev This will open the app in your browser at http://localhost:3000.

Building the App for Production

To create an optimized production build of the app:

Copy code npm run build The built files will be located in the dist/ folder.

Linting and Formatting

For consistent code style, you can run the linters:

Copy code npm run lint To format the code:

Copy code npm run format

Features

Map Integration: Display nearby EV charging stations using OpenStreetMap. Search Functionality: Users can search for specific locations to find EV stations. Real-time Feedback: Get nearest station based on current location. Responsive Design: Adapts to both small and large screen sizes. Contribution Feel free to fork this repository, submit issues, and make pull requests!

Dependencies:

react vite material-ui/core react-leaflet leaflet axios react-router-dom @vitejs/plugin-react-swc @mui/icons-material @emotion/react @emotion/styled

License

This project is licensed under the MIT License.

React + Vite

This template provides a minimal setup to get React working in Vite with HMR and some ESLint rules.

Currently, two official plugins are available:

• @vitejs/plugin-react uses Babel for Fast Refresh
• @vitejs/plugin-react-swc uses SWC for Fast Refresh