💄 AI Cosmetic Recommendation System

A facial-recognition-powered cosmetic recommendation tool that uses OpenCV to detect facial features (e.g., skin tone, face region) and aims to integrate machine learning for smarter, more personalized product recommendations.

This project is ideal for those interested in computer vision, ML integration, and beauty tech.

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🚀 Features

• 📸 Facial analysis using OpenCV
• 🤖 (In Progress) ML-based recommendation system based on user data
• 💄 Cosmetic product suggestions tailored to skin tone/type
• 🌐 UI with HTML/CSS/JS and optional Streamlit
• 🧠 Dataset expansion with real-world beauty products

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🛠️ Tech Stack

• Python
• OpenCV
• Jupyter Notebook
• Scikit-learn / TensorFlow / ML models (planned)
• HTML, CSS, JavaScript (UI)
• Streamlit (optional Python-based UI)

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💡 How It Works

1. Users upload a facial image or use webcam input.

2. OpenCV analyzes the face to determine:

   • Skin tone
   • Region of interest (e.g., lips, cheeks)

3. (Planned) Machine learning model will:

   • Analyze user data (e.g., age, skin concerns)
   • Recommend products based on historical patterns and similarity

4. The system displays personalized cosmetic suggestions.

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🤝 How to Contribute

We’re actively looking for contributors who can help with:

• 🖼️ Frontend UI (HTML/CSS/JS or Streamlit)
• 🧠 ML model development (e.g., product clustering, user profiling)
• 📦 Expanding the dataset with real cosmetic products
• 📘 Writing documentation, improving UX, or testing

Contribution Steps

1. Fork this repo

2. Create a new branch

   git checkout -b feature-branch

3. Make your changes and commit

   git commit -m "Add your feature"

4. Push to your branch

   git push origin feature-branch

5. Open a Pull Request 🎉

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📂 Project Structure

├── data/                   # Product datasets
├── notebooks/              # OpenCV and ML notebooks
├── ui/                     # HTML/CSS/JS frontend
├── streamlit_app/          # Streamlit frontend
├── app.py                  # Main Streamlit entry point
├── README.md
└── requirements.txt

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📌 Project Roadmap

✅ Facial detection with OpenCV 🛠 ML-based recommendation model (in progress) 🛠 Frontend UI improvements (HTML/CSS or Streamlit) 🛠 Expand product database with real brands/shades/types

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👩‍💻 Author

Made with ❤️ by Kasmya Bhatia

Feel free to connect for feedback, contributions, or collaboration.

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📄 License

This project is licensed under the MIT License.