| # Face Detection-Based AI Automation of Lab Tests | |
| This Streamlit app performs real-time facial analysis to estimate vital signs and pre-screen lab tests using AI models. | |
| ## Features | |
| - Face detection and landmark tracking via MediaPipe | |
| - Heart rate estimation using rPPG techniques | |
| - Simulated SpO₂ and Respiratory Rate calculation | |
| - Hemoglobin level proxy and hydration risk indicators | |
| - Downloadable diagnostic report as CSV | |
| - Built for Hugging Face Spaces | |
| ## How to Run on Hugging Face Spaces | |
| 1. Clone or upload this repository to your Hugging Face account. | |
| 2. Include the `app.py`, `requirements.txt`, and this `README.md` file. | |
| 3. Make sure your `app.py` file contains the Streamlit code. | |
| 4. Set `app.py` as the entry point in the Space settings. | |