4.2 / 5

Form Check

Phone watches your exercise form and coaches you

Useful

Privacy

Zero Cost

Instant

The Problem

Poor exercise form causes injuries and limits progress; trainers are expensive

Current Solutions (Not Great)

Expensive personal trainers, filming yourself and reviewing later, mirrors (limited angle)

Who Needs This

Home gym users, beginners, people recovering from injuries, budget-conscious fitness enthusiasts

Bad exercise form causes injuries and reduces effectiveness, but personal trainers cost $50-100/hour. Form Check lets you prop up your phone, select an exercise, and get real-time feedback on your form. It watches your body position and tells you when your back is rounding, knees are caving, or you're not hitting depth. Like having a trainer watching every rep, except it's free and you can wear whatever you want.

Honest Take

Crowded market with existing apps like Tempo, Form, and fitness mirror products. The big challenge is accuracy—pose estimation needs to be spot-on or it's worse than useless (could cause injury with bad advice). Privacy-first approach is a strong differentiator though.

Monetization Ideas

Ways to turn this into revenue

Freemium

Free basic, $5-15/mo for pro

Subscription

$5-29/month or $49-199/year

One-Time Purchase

$9-49 per license

Features

Key features that make this app valuable

Pose detection for common exercises
Real-time audio cues ('knees out', 'chest up')
Rep counting
Range of motion tracking
Form score per set
Progress tracking over time
Exercise library with form guides
Injury risk warnings

Build Prompt

Use this prompt with an AI assistant to start building

Build a React PWA called 'Form Check' using pose estimation and MediaDevices. UI: exercise selector, camera preview with skeleton overlay, rep counter, form score meter, real-time feedback banner. Use getUserMedia for camera. Run pose model (TensorFlow.js MoveNet or MediaPipe Pose) to get 17+ body keypoints. Per exercise, define checkpoints: squat needs hip_angle < 90° at bottom, knee_over_ankle, spine_neutral. Use generateObject to return { repComplete: boolean, formScore: number, issues: [{ bodyPart: string, issue: string, correction: string, severity: 'minor'|'major' }], goodPoints: string[] }. Audio feedback via speechSynthesis for major issues mid-rep. Visual skeleton overlay shows problem areas in red. Rep counter increments on full ROM completion. Session summary with average form score. Store workout history in IndexedDB.

Score Breakdown

Pain