Real-Time Pose Correction & Fitness Coaching App (iOS & Android)
iOS and Android apps that use computer vision to correct exercise form in real time, like a virtual fitness trainer.
Workflow & Architecture
How this system works
Device camera on iOS or Android streams live workout video.
MediaPipe tracks body landmarks and joint angles in real time.
Movement compared against exercise-specific posture and rep rules.
Instant corrections, rep counts, and alignment cues shown on screen.
Overview
Built a real-time pose estimation pipeline for iOS and Android that tracks body landmarks, calculates joint angles and movement ranges, and compares them against exercise-specific rules to detect posture mistakes, incomplete reps, and alignment issues, with instant corrective feedback.
The Problem
Home workout users lack real-time feedback on form, increasing injury risk and reducing exercise effectiveness.
The Solution
Delivered a mobile computer vision pipeline with joint-angle-based movement evaluation, rep counting, and instant posture feedback optimized for smooth real-time performance on iOS and Android.
Key Features
- Real-time pose detection via the device camera on iOS and Android
- Joint-angle-based movement evaluation and rep counting
- Instant feedback on incorrect posture and incomplete reps
- Optimized for smooth real-time mobile performance
Outcomes & Business Value
- Mobile-first computer vision pipeline for fitness coaching
- Applicable to fitness apps, physiotherapy tools, and health-tech products
- Real-time form correction without external hardware
