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.