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πŸ… Winner – Genesis1v1 DSA Case Competition | SpectraSense is a computer vision system that analyzes lip coloration to estimate hemoglobin levels. This research prototype demonstrates the potential for smartphone-based medical screening using advanced machine learning techniques

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SaaiAravindhRaja/SpectraSense

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πŸ”¬ SpectraSense AI

Non-Invasive Hemoglobin Estimation Through Computer Vision


🌟 Overview

SpectraSense AI is a computer vision system that analyzes lip coloration to estimate hemoglobin levels. This research prototype demonstrates the potential for smartphone-based medical screening using advanced machine learning techniques.


πŸš€ Quick Start

Prerequisites

# Python 3.8+ required
python --version

# Install dependencies
pip install -r requirements.txt

Launch SpectraSense

# Start the production server
python production_app.py

# Open your browser to
# 🌐 http://localhost:3000

Instant Analysis

  1. πŸ“Έ Upload a clear lip photo
  2. ⚑ Wait 2 seconds for AI analysis
  3. πŸ“Š View comprehensive hemoglobin report
  4. πŸ₯ Share results with healthcare providers

🧠 Core Components

Component Description Technology
🎨 Frontend Modern React interface with glassmorphism design React 18, Vite, CSS3
⚑ Backend High-performance Flask API with validation Flask, NumPy, scikit-learn
🧠 AI Engine 9-algorithm ensemble with uncertainty quantification Random Forest, Gradient Boosting, Ridge Regression
πŸ”¬ Validation Comprehensive clinical-grade validation framework Statistical testing, Bootstrap CI, Cross-validation
πŸ“Š Monitoring Real-time performance and fairness monitoring Performance profiling, Bias detection

πŸ“ Project Structure

SpectraSense/
β”œβ”€β”€ ui/                          # React frontend
β”œβ”€β”€ code/                        # AI & validation systems
β”œβ”€β”€ weights/                     # Trained model weights
β”œβ”€β”€ production_app.py            # Production server
└── requirements.txt             # Dependencies

🀝 Contributing

We welcome contributions from the healthcare AI community!

πŸ”§ Development Areas

  • Model Improvements: Enhanced algorithms and architectures
  • Validation Extensions: Additional clinical validation protocols
  • UI/UX Enhancements: Interface improvements and accessibility
  • Documentation: Guides, tutorials, and API documentation

πŸ“‹ Contribution Process

  1. Fork the repository
  2. Create a feature branch
  3. Implement your changes with tests
  4. Submit a pull request with detailed description

πŸ₯ Medical Disclaimer

IMPORTANT: SpectraSense AI is a research prototype and NOT approved for clinical diagnosis. This tool is intended for research and educational purposes only. Always consult healthcare professionals for medical decisions.

πŸ›‘οΈ Privacy & Security

  • No Data Storage: Images processed locally, not stored
  • Privacy First: No personal information collected
  • Secure Processing: All analysis performed client-side when possible

πŸ“ž Support & Contact

πŸš€ Get Started Today

Documentation API Reference Community

🌟 Star this repository if SpectraSense AI helps advance healthcare AI!


Built with ❀️ for the future of healthcare

SpectraSense AI - Revolutionizing Healthcare Through Computer Vision


πŸ”¬ Technical Excellence | πŸ₯ Clinical Impact | 🌍 Global Health

Transforming smartphones into clinical instruments, one pixel at a time.

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πŸ… Winner – Genesis1v1 DSA Case Competition | SpectraSense is a computer vision system that analyzes lip coloration to estimate hemoglobin levels. This research prototype demonstrates the potential for smartphone-based medical screening using advanced machine learning techniques

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