This project is a comprehensive full-stack learning platform I've built to help users explore programming concepts, prepare for interviews, and deepen their understanding of tech topics. It combines a modern React frontend with a Python FastAPI backend, leveraging AI to provide personalized learning experiences.

• Interactive Concept Exploration: Users can ask questions about programming topics and follow a guided learning path that branches based on their interests.
• Topic Learning Journeys: The platform generates personalized learning paths for any programming concept, organized by difficulty level.
• Technical Interview Preparation: Practice with AI-generated interview questions tailored to specific technologies and difficulty levels.
• LeetCode-style Problem Practice: A collection of coding challenges with AI-generated solutions and explanations.
• Project Management: Users can create and manage projects, upload relevant files, and maintain project-specific knowledge bases.

The application is split into two main components:

• A Python FastAPI backend that handles AI integration, file processing, and database operations
• A React/TypeScript frontend that provides an intuitive user interface

I've set up Docker to make deployment and development easy. Here's how to get started:

• Docker and Docker Compose installed on your system
• A valid OpenAI API key for AI functionality

Before running the containers, create a .env file in the server directory with:

OPENAI_API_KEY=your_openai_api_key_here

For development with hot-reloading:

1. Navigate to the project root
2. Run docker-compose -f docker-compose.dev.yml up
3. The frontend will be available at http://localhost:3000
4. The backend will be available at http://localhost:8000

For production:

1. Navigate to the project root
2. Run docker-compose up -d
3. The application will be available at http://localhost:80

To stop the running containers:

• For development: Press Ctrl+C in the terminal or run docker-compose -f docker-compose.dev.yml down
• For production: Run docker-compose down

• View logs: docker-compose logs -f
• Rebuild containers after changes to Dockerfile: docker-compose build
• Access container shell: docker exec -it [container_name] bash

• If you encounter database issues, you may need to remove the volume: docker-compose down -v
• For permission issues with the project files directory, check folder permissions
• If the AI features aren't working, verify your OpenAI API key is correct and has sufficient credits

I'm planning to extend the platform with:

• More interactive learning tools like quizzes and exercises
• Collaborative features for team learning
• Progress tracking and learning analytics
• Support for more file types and learning resources
• Mobile-friendly UI improvements

This project combines my passion for education, AI, and software development to create a tool that I hope will help people learn more effectively. I'm excited to continue improving it and adding new features!