🚀 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
• 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

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Made with ❤️ by the AI Engineering Academy Team