Python Learning Platform 🚀

An interactive educational platform powered by artificial intelligence for learning Python programming language. The platform features an AI-powered teaching assistant that guides users through step-by-step Python learning.

🌐 Demo

Access the live version of the project at https://python-learning-ai.onrender.com

Test Account

Any email and 6-digit password are sufficient for registration and login.

• Email: test@example.com
• Password: test123

Demo Features

• Access to all core functionalities
• Unlimited chat sessions
• Code analysis support
• Dark/Light theme options

🌟 Features

1. Intelligent Teaching Assistant

• Interactive tutor powered by Google Gemini AI
• Content that adapts to student proficiency
• Real-time feedback and assessment
• Code examples and explanations

2. Code Analysis Tool

• Code analysis from GitHub repositories
• Detailed code evaluation reports
• Security and performance recommendations
• Jupyter Notebook support

3. Comprehensive Curriculum

• Python fundamentals
• Object-Oriented Programming
• Data Structures and Algorithms
• Advanced Python topics

4. User Features

• Personal session management
• Progress tracking
• Dark/Light theme support
• Responsive design

🔧 Technology Stack

• Backend: Flask (Python)
• Frontend: HTML, CSS, JavaScript, React
• Database: Firebase Firestore
• Authentication: Firebase Authentication
• AI: Google Gemini AI
• Styling: Tailwind CSS
• Code Highlighting: Prism.js

💻 Installation

1. Clone the repository

git clone https://github.com/Tavuk-Pilav/python-learning-ai.git
cd python-learning-ai

2. Install required Python packages

pip install -r requirements.txt

3. Create necessary configuration files

.env file:

API_KEY="your_firebase_api_key"
GEMINI_API_KEY="your_gemini_api_key"

Place firebase-credentials.json in the project root directory.

4. Launch the application

python app.py

📝 Usage Guide

1. Authentication

   • Register with email and password
   • Sign in using Firebase Authentication

2. Topic Selection

   • View topics in the left panel
   • Select desired topic

3. Learning

   • Interactive chat with the assistant
   • Try code examples
   • Receive instant feedback

4. Code Analysis

   • Click the code analysis button in the bottom right
   • Enter GitHub URL
   • View detailed analysis report

🔐 Security

• Secure login with Firebase Authentication
• Secure communication over HTTPS
• Safe storage of user data
• API key protection through environmental variables

🤝 Contributing

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

📜 License

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

👥 Team

• Enes Fehmi Manan
• Utku Özüak