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🚀 Applied AI Projects

Welcome to the Applied AI Projects repository! This collection showcases various practical implementations and experiments in the field of artificial intelligence.

🎯 Current Projects

🎥 YouTube Cloner

An exploration of Language Models' capabilities in capturing YouTubers' speaking styles.

  • Tech Stack: LLaMA2, Mistral 7B, Python
  • Features:
    • Content style emulation
    • Dataset curation pipeline
    • Model fine-tuning
  • Open In Colab Try the Fireship Clone!

📝 [Project 2] (Coming Soon)

Description of the upcoming project

🤖 [Project 3] (Coming Soon)

Description of the upcoming project

🛠️ Project Structure

Each project in this repository follows a consistent structure:

ProjectName/
├── README.md          # Project documentation
├── notebooks/         # Jupyter notebooks
├── src/              # Source code
├── data/             # Data files
└── requirements.txt  # Dependencies

🌟 Getting Started

  1. Clone the repository:
git clone https://github.com/yourusername/projects.git
  1. Navigate to specific project:
cd projects/project-name
  1. Install requirements:
pip install -r requirements.txt

📚 Resources

Each project contains its own detailed documentation in its respective directory. Check the project's README for specific setup instructions and usage guidelines.

🤝 Contributing

We welcome contributions! To contribute:

  1. Fork the repository
  2. Create your feature branch
  3. Commit your changes
  4. Push to the branch
  5. Create a Pull Request

📝 License

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

🙏 Acknowledgments

  • Thanks to all contributors
  • Special thanks to the open-source community
  • Credit to all original authors of resources used
Made with ❤️ by the AI Engineering Academy Team