AI Fitness Form Checker
AI Tools

AI Fitness Form Checker

An AI-powered app that uses your phone camera to analyze exercise form in real time, giving instant corrective feedback like a personal trainer would.

LIKELYIntermediate2-3 weeksIntermediate
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What it does

AI pose estimation libraries like MediaPipe and TensorFlow.js are mature and well-documented. The core challenge is real-time video processing on mobile and translating joint angles into actionable form feedback, but both are achievable with current AI tools.

LIKELYThe verdict

AI pose estimation libraries like MediaPipe and TensorFlow.js are mature and well-documented. The core challenge is real-time video processing on mobile and translating joint angles into actionable form feedback, but both are achievable with current AI tools.

MVP features

Real-time pose detection via camera
Form analysis for 5-10 core exercises
Visual overlay showing joint angles and alignment
Audio feedback cues for corrections
Rep counter
Session history

Advanced features

AI-generated corrective routinesProgress tracking over timeTrainer dashboard for remote coachingExercise library with 50+ movementsSocial challenges and leaderboardsWearable integration

Required screens

Camera view with real-time overlayExercise selectorSession summaryHistory/progressSettings

Suggested user flow

Select exercise, position phone, perform movement, get real-time visual and audio feedback, see session summary with form scores and tips

Database schema

- User profiles
- Exercise definitions with ideal joint angles
- Session records with form scores
- Progress tracking over time

Integrations

MediaPipe Pose or TensorFlow.js PoseNetCamera APIText-to-speech for audio cues

Build prompt

build-prompt.txt
The Build Prompt
Build a mobile web app that uses the phone camera to detect body pose in real time using MediaPipe Pose. Analyze joint angles for 5 exercises (squat, deadlift, push-up, lunge, plank) and give visual and audio feedback on form. Include an exercise selector, real-time skeleton overlay on camera feed, audio cues for corrections, rep counting, and a session summary with form scores. Use React with TensorFlow.js or MediaPipe for pose detection.
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