AI BMI & Identity Verification for Telehealth
Budget: $3,000 – $5,000 AUD
AI-Powered Identity & BMI Verification System for Telehealth Platform
Description:
We’re building BMIQ Health Verification, a cutting-edge AI solution designed to automate identity verification and BMI screening prior to telehealth consultations. We're seeking an experienced developer (or small team) with strong capabilities in computer vision, machine learning, and secure web app development to help bring this project to life.
Key Deliverables:
Front and side photo processing to estimate BMI using computer vision models
Custom AI/ML model integration (TensorFlow/PyTorch or similar)
Identity verification module (ID photo upload + facial recognition)
Generate secure PDF reports with BMI estimate, flagging thresholds
Support for manual overrides and GP annotations
Responsive web-based UI for patients and clinical staff
Must comply with Australian privacy laws and Medical Board of Australia telehealth standards
Ideal Experience:
Computer Vision (pose estimation, facial recognition, BMI estimation)
Secure web app or portal development (React/Vue + Python/Node backend preferred)
Cloud deployment (AWS/GCP/Azure)
PDF generation and digital report pipelines
Familiarity with healthcare regulations and data privacy (HIPAA/GDPR or equivalent)
Bonus:
Experience in telehealth or healthtech apps
UX/UI design sensibility for health-related platforms
Timeline:
Start ASAP. MVP delivery preferred within 4–6 weeks, with scope to continue on post-launch enhancements
Description:
We’re building BMIQ Health Verification, a cutting-edge AI solution designed to automate identity verification and BMI screening prior to telehealth consultations. We're seeking an experienced developer (or small team) with strong capabilities in computer vision, machine learning, and secure web app development to help bring this project to life.
Key Deliverables:
Front and side photo processing to estimate BMI using computer vision models
Custom AI/ML model integration (TensorFlow/PyTorch or similar)
Identity verification module (ID photo upload + facial recognition)
Generate secure PDF reports with BMI estimate, flagging thresholds
Support for manual overrides and GP annotations
Responsive web-based UI for patients and clinical staff
Must comply with Australian privacy laws and Medical Board of Australia telehealth standards
Ideal Experience:
Computer Vision (pose estimation, facial recognition, BMI estimation)
Secure web app or portal development (React/Vue + Python/Node backend preferred)
Cloud deployment (AWS/GCP/Azure)
PDF generation and digital report pipelines
Familiarity with healthcare regulations and data privacy (HIPAA/GDPR or equivalent)
Bonus:
Experience in telehealth or healthtech apps
UX/UI design sensibility for health-related platforms
Timeline:
Start ASAP. MVP delivery preferred within 4–6 weeks, with scope to continue on post-launch enhancements