EduAutomation

EduAutomation is a Next.js-based web platform that delivers customized education and training classes using AI-driven automation. Built with Docker for scalability, n8n-inspired workflows for automation, and MCP-like AI integration for personalized content, it empowers learners with practical, tailored education experiences.

Features

• Personalized Learning: AI-generated course content based on user preferences.
• Workflow Automation: Automates course delivery and progress tracking.
• Containerized Deployment: Runs consistently with Docker.
• API Integration: Connects with educational APIs for dynamic content.
• Scalable UI: Built with Next.js 14, TypeScript, and Tailwind CSS.

Prerequisites

• Node.js 20+
• Docker Desktop
• Git
• API keys (e.g., Anthropic for AI content generation)

Installation

1. Clone the repository:

   git clone https://github.com/your-username/eduautomation.git
   cd eduautomation
   

2. Install dependencies:

   npm install
   

3. Set up environment variables: Create a .env.local file with:

   ANTHROPIC_API_KEY=your-anthropic-api-key
   MCP_SERVER_URL=http://localhost:5680
   N8N_URL=http://localhost:5678
   

4. Run the development server:

   npm run dev
   

   Visit http://localhost:3000.

Docker Setup

Build and run with Docker Compose:

docker-compose up --build

Access the app at http://localhost:3000, n8n at http://localhost:5678, and MCP at http://localhost:5680.

Project Structure

eduautomation/
├── src/                    # Source code
│   ├── app/                # Next.js App Router
│   │   ├── api/            # API endpoints
│   │   ├── courses/        # Course pages
│   │   └── workflows/      # Workflow pages
│   ├── components/         # React components
│   └── lib/                # Utility functions
├── mcp-server/             # Model Context Protocol server
├── public/                 # Static assets
├── docker-compose.yml      # Docker Compose configuration
└── Dockerfile              # Docker configuration

Key Technologies

• Next.js: Framework for server-rendered React applications
• Docker: Containerization for consistent deployment
• n8n: Workflow automation
• MCP: Model Context Protocol for AI integration
• TypeScript: Type-safe JavaScript
• Tailwind CSS: Utility-first CSS framework

Usage

Courses

Browse available courses at /courses. Each course is designed to be modular and can be customized based on learner preferences.

Workflows

Explore and create automated workflows at /workflows. These workflows handle tasks like content generation and progress tracking.

AI Integration

The platform uses AI to generate personalized course content, quiz questions, and recommendations.

Contributing

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

License

MIT License

Contact

For support, email support@eduautomation.com or join our Discord community.