Facial Analytics SDK for Health Extraction
Budget: €10,000 – €20,000 EUR
Project Title:
Development of Facial Analytics SDK for Health Parameter Extraction
Project Description:
We are seeking an experienced software development team or individual with expertise in computer vision, machine learning, and biomedical signal processing to help us develop a cutting-edge Facial Analytics Software Development Kit (SDK).
The goal of this SDK is to enable the extraction of multiple health-related parameters using remote photoplethysmography (rPPG) and other facial analysis techniques through standard cameras (e.g., smartphone, laptop, or webcam).
Target Health Parameters to Extract (non-invasively via facial video input):
Heart Rate (HR)
Heart Rate Variability (HRV)
Blood Pressure (systolic & diastolic estimation)
Stress Level
Hemoglobin
Hemoglobin A1C
Cholesterol (indirect estimation if scientifically feasible)
Fatigue Level
Dopamine Level (indicative behavioral biometrics if feasible)
Breathing Rate
Oxygen Saturation (SpO2)
Integration Requirements:
The SDK should be modular and optimized for integration into:
Mobile devices (Android/iOS)
Desktop/laptop platforms
Web applications (WebRTC/JavaScript modules)
Native mobile apps (Flutter/React Native/Swift/Kotlin)
Deliverables:
A lightweight, scalable SDK with real-time video analysis capability
API documentation and sample integration examples
Testing suite and accuracy benchmarks
Compliance-ready architecture (for potential future medical certification)
Preferred Skills & Experience:
Proven track record in facial biometrics and healthtech
Experience with OpenCV, TensorFlow, PyTorch, or related frameworks
Knowledge in signal processing & biomedical informatics
Understanding of rPPG and emotion analytics
Previous experience building medical-grade or wellness tech solutions is a plus
Timeline: Ideally ASAP
Development of Facial Analytics SDK for Health Parameter Extraction
Project Description:
We are seeking an experienced software development team or individual with expertise in computer vision, machine learning, and biomedical signal processing to help us develop a cutting-edge Facial Analytics Software Development Kit (SDK).
The goal of this SDK is to enable the extraction of multiple health-related parameters using remote photoplethysmography (rPPG) and other facial analysis techniques through standard cameras (e.g., smartphone, laptop, or webcam).
Target Health Parameters to Extract (non-invasively via facial video input):
Heart Rate (HR)
Heart Rate Variability (HRV)
Blood Pressure (systolic & diastolic estimation)
Stress Level
Hemoglobin
Hemoglobin A1C
Cholesterol (indirect estimation if scientifically feasible)
Fatigue Level
Dopamine Level (indicative behavioral biometrics if feasible)
Breathing Rate
Oxygen Saturation (SpO2)
Integration Requirements:
The SDK should be modular and optimized for integration into:
Mobile devices (Android/iOS)
Desktop/laptop platforms
Web applications (WebRTC/JavaScript modules)
Native mobile apps (Flutter/React Native/Swift/Kotlin)
Deliverables:
A lightweight, scalable SDK with real-time video analysis capability
API documentation and sample integration examples
Testing suite and accuracy benchmarks
Compliance-ready architecture (for potential future medical certification)
Preferred Skills & Experience:
Proven track record in facial biometrics and healthtech
Experience with OpenCV, TensorFlow, PyTorch, or related frameworks
Knowledge in signal processing & biomedical informatics
Understanding of rPPG and emotion analytics
Previous experience building medical-grade or wellness tech solutions is a plus
Timeline: Ideally ASAP