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Welcome to the Encode Learning App front end repository! This is the client-side of our MERN stack application, designed to provide a seamless learning experience.

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MuhdHanish/encode_client

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Encode Learning App - Front End

Welcome to the Encode Learning App front end repository! This is the client-side of our MERN stack application, designed to provide a seamless learning experience.

Prerequisites

Before you start, make sure you have the following tools installed:

  • Node.js (v14 or higher)
  • npm (Node Package Manager)
  • Git

Getting Started

  1. Clone the repository:

git clone https://github.com/MuhdHanish/En-Code-Client.git

  1. Navigate to the project directory:

  2. Install dependencies:

npm install

  1. Start the development server:

npm run dev

This will start the application in development mode. Open your browser and visit http://localhost:5173 to see the app in action.

Environment Variables

To run the Encode Learning App front end properly, you need to set up the following environment variables. Create a .env file in the root of your project and add the following:

VITE_SERVER_URL= "your server url" VITE_GOOGLE_CLIENT="your google client id" VITE_BUCKET_NAME="your bucket name" VITE_REGION_NAME="your bucket region name" VITE_BUCKET_ACCESS_KEY="your bucket access key" VITE_BUCKET_SECRET_KEY="your bucket secret key" VITE_PAYPAL_CLIENT_ID="your paypa client id" VITE_BUCKET_BASE_URL="your bucket base url"

Make sure to replace the values with your actual configuration.

Folder Structure

  • /src/ - React components, assets, styles, routes, and services.
  • /public/ - Public files (favicon, HTML template, etc.).
  • .env - Environment variables configuration.
  • .gitignore - Git ignore file.
  • package.json - Node.js dependencies and scripts.
  • .tailwind.config.js - Tailwind css configration and custom themes.
  • README.md - This README file.

Contributing

We welcome contributions! If you'd like to contribute to this project, please follow our Contributing Guidelines.

License

This project is licensed under the MIT License.

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