A full-stack Language Learning Tracker platform designed to help learners practice, test, and track their language learning progress, while enabling tutors to create, manage, and review tests.

• Role-Based Access: Separate dashboards and features for Learners and Tutors.
• Test Creation & Management: Tutors can create, publish, and manage tests.
• AI-Powered Question Generation: Automatically generate MCQs using Google Gemini AI.
• Progress Tracking: Learners can track completed tests and scores.
• Ask AI or Tutor: Learners can ask AI for quick answers or directly text tutors with doubts.
• Real-Time Chat: WebSocket-powered learner-tutor messaging with live typing indicators.
• Notifications: Real-time notifications for test updates, chat messages, and doubts.
• Dockerized Deployment: Easily deployable using Docker & Docker Compose.
• Responsive UI: Clean white-blue modern UI for both desktop and mobile.

• React.js
• Tailwind CSS
• Axios
• WebSockets (Socket.IO)

• Node.js (Express.js)
• MongoDB (Mongoose)
• Google Gemini AI API
• JWT Authentication
• Socket.IO for real-time communication

• Docker & Docker Compose
• AWS EC2

1. Clone the Repository

git clone https://github.com/your-username/language-learning-tracker.git
cd language-learning-tracker

2. Set up Environment Variables Create .env in both server and client directories and configure:

# Server .env
PORT=5000
MONGO_URL=your_mongodb_url
JWT_SECRET=your_jwt_secret
GOOGLE_API_KEY=your_google_api_key
CORS_ORIGIN=http://localhost:5173

# Client .env
VITE_API_URL=http://localhost:5000

3. Run Locally

docker-compose up --build

4. Access the app:

• Frontend: http://localhost:5173
• Backend API: http://localhost:5000

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