A self-hosted language learning platform for learning Spanish, built with Vue.js and FastAPI.

�� Visit our Landing Page | 🤝 Contribute

The landing page is hosted at the root of this repo and deploys automatically to Vercel!

• 5 Complete Lessons covering:

  • Basic Greetings
  • Numbers 1-20
  • Common Foods
  • Colors
  • Family Members

• Interactive Learning:

  • Vocabulary cards with text and audio pronunciations (click 🔊 to hear!)
  • Practice quizzes with instant feedback
  • Score tracking for each lesson
  • Text-to-speech pronunciation using Web Speech API

• User System:

  • User registration and authentication
  • Progress tracking (coming soon)

• Fully Dockerized: Easy deployment with Docker Compose

• Docker
• Docker Compose

1. Clone the repository:

git clone https://github.com/thelonewolf39/Language-Learning-web.git
cd Language-Learning-web

2. Start the application:

docker-compose up -d

3. Access the application:

   • Frontend: http://localhost:3000
   • Backend API: http://localhost:8000
   • API Docs: http://localhost:8000/docs

4. Stop the application:

docker-compose down

If you make changes to the code:

docker-compose up -d --build

1. Navigate to backend directory:

cd backend

2. Create virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

4. Run the server:

uvicorn app.main:app --reload --host 127.0.0.1 --port 8000

1. Navigate to frontend directory:

cd frontend

2. Install dependencies:

npm install

3. Run development server:

npm run dev

4. Build for production:

npm run build

Language-Learning-web/
├── backend/
│   ├── app/
│   │   ├── main.py          # FastAPI application
│   │   ├── models.py        # Database models
│   │   ├── schemas.py       # Pydantic schemas
│   │   ├── crud.py          # Database operations
│   │   └── lessons.json     # Lesson content
│   ├── data/
│   │   └── users.db         # SQLite database
│   ├── Dockerfile
│   ├── requirements.txt
│   └── .dockerignore
├── frontend/
│   ├── src/
│   │   ├── components/
│   │   │   ├── MainPage.vue      # Main landing page
│   │   │   ├── LessonCard.vue    # Lesson preview card
│   │   │   └── LessonView.vue    # Interactive lesson view
│   │   ├── App.vue
│   │   └── main.js
│   ├── Dockerfile
│   ├── nginx.conf
│   ├── package.json
│   └── .dockerignore
└── docker-compose.yml

• POST /api/v1/users/register - Register new user
• GET /api/v1/lessons - Get all available lessons

• FastAPI - Modern Python web framework
• SQLAlchemy - SQL toolkit and ORM
• Passlib with Argon2 - Password hashing
• SQLite - Database

• Vue 3 - Progressive JavaScript framework
• Vite - Fast build tool
• Axios - HTTP client
• Tailwind CSS - Utility-first CSS

• Docker - Containerization
• Docker Compose - Multi-container orchestration
• Nginx - Web server for frontend

• DATABASE_URL - Database connection string (default: sqlite:///./data/users.db)

• VITE_API_URL - Backend API URL (default: http://127.0.0.1:8000)

Each lesson includes:

• Title & Description - Overview of the lesson
• Difficulty Level - Beginner, intermediate, or advanced
• Vocabulary - Spanish words with English translations and pronunciations
• Exercises - Multiple-choice quizzes to test knowledge

The project includes a beautiful landing page at the root (index.html) that explains the project and welcomes contributors.

1. Via Vercel Dashboard:

   • Go to vercel.com
   • Import your GitHub repository
   • Deploy with default settings
   • Done! Your landing page is live

2. Via Vercel CLI:

   npm install -g vercel
   vercel

3. Automatic Deployment:

   • Connect your GitHub repo to Vercel
   • Every push to main deploys automatically

The landing page includes:

• Project overview and features
• Complete setup instructions
• Tech stack details
• Contribution guidelines

• User authentication with JWT tokens
• Progress tracking for completed lessons
• Spaced repetition algorithm for vocabulary review
• Audio pronunciations ✅ Completed! (Click 🔊 on vocabulary cards)
• More advanced lessons (intermediate and advanced levels)
• Writing exercises
• Conversation practice scenarios
• Leaderboard and achievements
• Record user pronunciation and compare with native speech

We welcome contributions from developers, designers, and language experts!

Ways to contribute:

• Add more lessons and vocabulary
• Implement new features
• Improve UI/UX design
• Fix bugs and improve performance
• Write documentation
• Translate to other languages

How to start:

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Test thoroughly
5. Submit a pull request

Check out our landing page for more details on contributing!

This project is for educational purposes.