Concept:
An AI-powered smart mirror that analyzes facial symmetry, skin tone, and lymphatic flow during Gua Sha or skincare routines.
Built on the MagicMirror² framework with OpenCV and Mediapipe, this module bridges beauty, health, and technology — offering real-time visual feedback and affirmations to enhance your self-care ritual.
- 🪞 Facial tension detection (symmetry + puffiness)
- 🌿 Glow and redness monitoring via color segmentation
- ✨ Daily affirmations + breathing reminders
- 📊 Progress tracking over time (optional data logs)
- 💡 Smart lighting and humidity integration (optional IoT mode)
| Layer | Description |
|---|---|
| Frontend | MagicMirror² module (JS, CSS) |
| Backend | Python service with OpenCV + Mediapipe |
| Communication | WebSocket or Flask REST bridge |
| Optional | TensorFlow Lite model for expression scoring |
- User initiates a Gua Sha session.
- Camera feed is processed with face_analysis.py.
- Detected symmetry, color, and tension data are sent to MMM-GuaSha.js.
- Mirror UI displays guidance like “Massage right jawline gently” or “Beautiful balance today!”
- MagicMirror² Framework
- JavaScript, Node.js, HTML, CSS
- Python, OpenCV, Mediapipe, TensorFlow Lite (optional)
- Real-time emotion tracking
- Smart skincare scheduling
- Cloud-based progress visualization dashboard
This project is licensed under the GNU GPL-2.0 License.