Training Video Analysis → Skill Assessment → Progress Tracking
Analyze physical training videos to assess movement quality, automatically score performance, and track skill progression over time for athletes or workers.
Workflow Steps
OpenCV
Extract movement data
Use OpenCV computer vision to analyze training videos frame-by-frame. Track key body points, measure angles, calculate velocities, and extract movement patterns. Export timestamped movement data as JSON.
ChatGPT Vision
Score technique quality
Upload video frames and movement data to ChatGPT Vision with a detailed rubric for the specific skill being assessed. Get scores for form, timing, precision, and overall technique with specific improvement recommendations.
Airtable
Track progress over time
Automatically log assessment scores, video metadata, and improvement suggestions into an Airtable base. Set up views to track progress trends, identify weak areas, and schedule follow-up training sessions.
Workflow Flow
Step 1
OpenCV
Extract movement data
Step 2
ChatGPT Vision
Score technique quality
Step 3
Airtable
Track progress over time
Why This Works
Computer vision provides objective movement analysis while AI scoring ensures consistent evaluation criteria, eliminating human bias and saving assessment time.
Best For
Sports coaches, training managers, and physical therapy clinics need consistent, objective skill assessment
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