✅ Interactive Learning Mode – Type Python OOP code & get AI feedback in real-time.
✅ Auto-Evaluation System – AI analyzes your OOP structure & suggests improvements.
✅ Refactor & Improve Mode – Get AI-powered suggestions to optimize your code.
✅ Pre-Built OOP Examples – Study predefined examples like Car, BankAccount, GameCharacter.
✅ CLI & GUI Support – Use a command-line interface or GUI (coming soon) for a seamless experience.

Clone the repository and install dependencies:

git clone https://github.com/your-username/AIPyOOP.git
cd AIPyOOP
pip install -r requirements.txt

python aipyoop/interactive.py

The AI will guide you through OOP concepts.

Type your own Python class, and get instant feedback!

python aipyoop/refactor.py my_code.py

The AI will analyze your code and suggest better OOP practices.

python

from aipyoop.examples import Car
my_car = Car("Toyota", "Corolla", 2023)
print(my_car)

AIPyOOP/
├── aipyoop/
│   ├── __init__.py         # Package initializer
│   ├── concepts.py         # OOP concepts & explanations
│   ├── evaluator.py        # AI feedback & evaluation system
│   ├── examples.py         # Predefined OOP examples
│   ├── interactive.py      # CLI interface for learning
│   ├── refactor.py         # AI-powered code improvement
│   ├── gui.py              # GUI (to be added later)
│
├── tests/                  # Unit tests
├── README.md               # Project documentation
├── requirements.txt        # Dependencies
├── .gitignore              # Ignore unnecessary files
└── setup.py                # Package setup

Contributions are welcome! If you’d like to improve AIPyOOP, follow these steps:

• Fork the repository
• Create a new branch (feature/new-feature)
• Commit your changes
• Push to GitHub and open a pull request

📜 License

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

#🌟 Support & Feedback If you like this project, give it a ⭐ on GitHub! For questions, feel free to open an issue or connect with me.