JavaDSA - Learning Management System

A free and open-source Learning Management System designed to help learners master Java and Data Structures & Algorithms.

Live Demo | Documentation | Contributing

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✨ Features

• Structured Learning: Comprehensive courses from basics to advanced levels.
• Code Playground: Practice coding with real-time execution in 45+ languages.
• Progress Tracking: Bookmark lessons and add personal notes to track your journey.
• Secure Authentication: JWT-based user authentication for secure access.
• Responsive Design: Optimized for all devices.
• Fast & Modern: Built with Vite and React for a seamless experience.
• Open Source: Licensed under MIT.

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🛠️ Tech Stack

Frontend

• React 18
• Vite
• React Router
• Monaco Editor
• React Markdown
• Axios
• React Hot Toast

Backend

• Node.js
• Express.js
• JWT (jsonwebtoken)
• bcryptjs
• Piston API (Code Execution)
• Supabase (PostgreSQL Database)

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📦 Installation

Prerequisites

• Node.js >= 16.0.0
• npm or yarn

Quick Start

1. Clone the Repository

   git clone https://github.com/parthamk/JavaDSA-LMS.git
   cd JavaDSA-LMS

2. Backend Setup

   cd backend
   npm install
   cp .env.example .env
   npm run dev

3. Frontend Setup (in a new terminal)

   cd frontend
   npm install
   cp .env.example .env
   npm run dev

Visit http://localhost:5173 in your browser.

For detailed setup instructions, see SETUP.md.

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📖 Usage

1. Register: Create a new account.
2. Choose a Course: Select Java or DSA.
3. Start Learning: Follow structured lessons.
4. Practice: Use the code playground to hone your skills.
5. Track Progress: Bookmark lessons and monitor your learning journey.

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🎓 Courses

Java Complete Guide

• Java Fundamentals (Basic Level)
• Object-Oriented Programming (Intermediate Level)
• Advanced Java Concepts
• Design Patterns & Best Practices
• Interview Preparation Guide

Data Structures & Algorithms

• Programming Fundamentals
• Introduction to Data Structures
• Algorithmic Complexity
• Basic Data Structures
• Sorting & Searching Algorithms
• Tree & Graph Data Structures
• Advanced Data Structures
• Problem-Solving Techniques

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🤝 Contributing

Contributions are welcome! Please read CONTRIBUTING.md for details.

1. Fork the repository.
2. Create a feature branch (git checkout -b feature/AmazingFeature).
3. Commit your changes (git commit -m 'Add AmazingFeature').
4. Push to the branch (git push origin feature/AmazingFeature).
5. Open a Pull Request.

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📝 License

This project is licensed under the MIT License. See the LICENSE file for details.

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🙏 Acknowledgments

• Monaco Editor by Microsoft
• Piston API for code execution
• All contributors and learners

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📧 Contact

• GitHub: parthamk/JavaDSA-LMS

Made with ❤️ for learners worldwide.