Case Study: Soul Movement
PostureVision: AI Posture Assessment
High-Level Impact
Successfully integrated clinical-grade orthopedic measurements (like Q-Angle and lateral shifts) into a consumer-facing web application.
Project Metadata
- CategoryAI / Computer Vision / HealthTech
- ClientSoul Movement
Core Components
Mediapipe (Skeleton Mapping)
Next.js & React Framework
Genkit & Google Gemini AI
Databricks (Longitudinal Records)
HTML5 Canvas (Visual Overlays)
Business Objectives
Accessibility: Remove the need for expensive initial specialist visits.
Engagement: Provide a sticky tool for tracking corrective exercise progress.
Visual Literacy: Show users exactly how measurements are derived via overlays.
Clinical Accuracy: Use standardized geometric formulas used by therapists.
Privacy-First: Implement a zero-storage model for images.
Solution Design
"AI-driven health application designed to provide instant, professional-grade posture assessments from a single photograph, bridging the gap between clinical expertise and at-home health tracking."
1. User uploads/captures photo. 2. Capture Layer provides feedback on image quality. 3. Mediapipe detects 33 body landmarks ephemerally. 4. Genkit-powered flows perform complex geometric analysis (shifts, tilts, angles). 5. Analysis snapshots stored in Databricks. 6. Presentation Layer renders interactive canvas overlays onto user's photo.