Dunedain Code Compiler & Contest Platform

This project was developed as part of the nationwide Tally Hackathon, where our team was shortlisted among the top 127 from 27,000 entries. Over 48 hours, we built an online code compiler platform with features like contests, problem-solving pages, and live leaderboards—all powered by the MERN stack and supporting multiple programming languages.

🚀 Features

• Code Compiler Playground: Supports C, C++, Java, and Python with live code execution.
• Problem Solving Page: Solve existing problems inspired by LeetCode, or add your own challenges.
• Contest Creation: Users can create and join contests, and the system maintains a live leaderboard to track progress.
• Persistent Code History: Users can revisit problems with their last correct submission saved.
• Leaderboard: Tracks contest performance and ranks users in real-time.

🛠️ Tech Stack

• Frontend: React, Redux
• Backend: Node.js, Express.js
• Database: MongoDB
• Deployed On: Vercel

📂 Project Structure

├── client                 # React frontend
│   ├── src
│   ├── public
│   └── package.json
├── server                 # Node.js backend
│   ├── controllers        # Backend business logic
│   ├── models             # Mongoose models
│   ├── routes             # API routes
│   ├── utils              # Utility functions
│   ├── app.js             # Server setup
│   └── package.json
└── README.md

🌐 Live Demo

Check out the live version of the platform here: Live Demo

⚙️ Installation & Setup

1. Clone the repository:

   git clone https://github.com/Dunedain-HASKS/dcc.git
   cd dcc

2. Install dependencies for both client and server:

   cd client && npm install
   cd ../server && npm install

3. Set up environment variables:
   Create a .env file in the server directory with the following:

   MONGO_URI=your-mongodb-connection-string
   JWT_SECRET=your-secret

4. Run the development server:

   From the root directory, run:

   cd client && npm start
   cd ../server && npm run dev

5. Visit the application:

   Open your browser and go to http://localhost:3000.

👨‍💻 Contribution

We welcome contributions! Please fork the repository and create a pull request.