WorkoutForm: AI Form Correction Coach
Real-time phone camera analysis that corrects exercise form during workouts, reducing injury risk and improving results for home and gym lifters.
The Problem
Most people lifting at home or in gyms have no feedback on whether they're performing exercises correctly. Bad form leads to injuries, wasted effort, and plateaus. Personal trainers are expensive ($50-150/session), and form-checking apps either require expensive equipment or use outdated pose detection that misses crucial biomechanical details.
Target Audience
Home gym lifters (18-45), intermediate lifters wanting to progress safely, people doing bodyweight training, and budget-conscious gym-goers who can't afford regular trainer sessions.
Why Now?
Phone cameras are now high-quality enough for reliable pose detection; mobile AI inference (CoreML, TensorFlow Lite) is mature; home gym culture is mainstream; vibe coders can integrate vision APIs in days instead of weeks.
What's Missing
Existing form-correction apps either require expensive hardware (FORM collar), aren't real-time, or give generic feedback rather than specific form cues (e.g., 'elbows wider,' 'lower hips'). No simple phone-based solution exists that actually teaches correct form during the lift.
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