README.md

# 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.