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