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Build an AI fitness counter and timer app with our end-to-end demo using QuickPose iOS SDK for Pose Estimation/Detection.

Home Page: https://quickpose.ai

Swift 100.00%
fitness fitness-app fitness-tracker ios mediapipe mediapipe-pose mediapipe-pose-estimation pose-detection pose-estimation swift

fitcount's Introduction

FitCount by QuickPose.ai

This project provides the end-to-end demo solution for an AR/AI fitness iOS app. FitCount is based on the QuickPose.ai SDK.

Try the TestFlight version of the FitCount app: https://testflight.apple.com/join/4fDEDysS.

For more explanation of the code in this repository please check our FitCount Guide

How to run the project

  1. Clone the repository.
  2. Register for a free SDK key at our Development portal.
  3. Open the project in Xcode.
  4. Add your SDK key to the Workout/QuckPoseBasicView.swift file to this line:
private var quickPose = QuickPose(sdkKey: "YOUR SDK KEY") // register for your free key at https://dev.quickpose.ai
  1. Run the project on your physical device. Note that due to the Apple's limitations, the SDK will not work on the simulator.

Supported features

  • Counting fitness exercises (Squats, Bicep Curls) repetitions based on user's movement.
  • Understand if a user is present on the screen with .inside feature
  • Audio and text feedback and guidance.
  • Instructions before the workout.
  • Local workout history.

Add AI fitness coach to your app using QuickPose.ai SDK

  1. Register for a free SDK key at our Development portal.
  2. Check out our GitHub Repository and Getting Started Guide.

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