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Build AI Fitness Apps in Flutter with Pose Detection
Rating: 4.6 out of 5(47 ratings)
271 students

Build AI Fitness Apps in Flutter with Pose Detection

Learn Pose Detection in Flutter to Build AI-Powered Fitness & Yoga Apps with Real-Time Motion Tracking & Exercise Count
Last updated 5/2025
English

What you'll learn

  • Integrate pose detection models in Flutter to track human body movements
  • Detect yoga poses and exercises using AI-powered pose estimation
  • Process images and live camera footage for real-time motion tracking
  • Build a yoga trainer app that evaluates and recognizes different poses
  • Develop an AI-powered exercise counter that tracks and counts workouts
  • Use Flutter & Dart to create intelligent fitness and wellness applications
  • Understand key points and joints detection for body movement analysis
  • Apply pose detection in various domains, including fitness, sports, and healthcare
  • Gain hands-on experience with practical, real-world Flutter projects

Course content

10 sections48 lectures3h 58m total length
  • Pose Detection3:35

    Learn how pose detection, a computer vision model that identifies up to 33 body landmarks to form a digital skeleton, enables real-time exercise tracking and virtual coaching in mobile apps.

Requirements

  • Basic understanding of mobile app development concepts is helpful but not mandatory
  • A physical or virtual Android/iOS device for testing real-time pose detection

Description

Do you want to build intelligent mobile apps that can understand human movements, detect yoga poses, and count exercises in real-time? If so, this course is for you!


In this comprehensive course, you'll learn how to integrate pose detection models into Flutter apps from scratch. Whether you're building fitness trackers, AI-powered yoga trainers, or interactive gaming applications, pose detection allows you to analyze human body movements by identifying key points—such as shoulders, elbows, knees, and ankles.


What You’ll Learn in This Course

  • Introduction to Pose Detection and its real-world applications in fitness, sports, healthcare, and gaming

  • How to integrate pose detection models in Flutter using both images and live camera footage

  • Develop AI-powered apps, including:

    • A Yoga Trainer App that detects and evaluates yoga poses

    • An Exercise Counter App that tracks body movements and counts repetitions in real-time

      • Process pose detection results to recognize body postures and improve user experience

      • Real-time pose detection in Flutter for interactive applications

      • Build ML-based fitness tracking apps in Flutter from scratch


Course Structure

  1. Introduction to Pose Detection – Understanding key points, joints, and motion tracking

  2. Pose Detection with Images – Select images from the gallery or capture with the camera, process poses, and detect exercises

  3. Real-time Pose Detection – Implement AI-powered motion tracking to detect and count workouts instantly

  4. Hands-on Flutter Projects – Step-by-step guidance on building interactive, ML-based fitness and wellness apps


Who Is This Course For?

  • Flutter developers (beginners & experienced) who want to integrate AI-based pose detection

  • Mobile app developers looking to enhance apps with real-time motion tracking

  • Fitness & wellness app creators who want to build interactive workout applications

  • Anyone interested in Flutter app development and AI-powered mobile experiences


Why Take This Course?

  • Hands-on projects for real-world experience

  • Step-by-step guidance to integrate pose detection in Flutter

  • No prior machine learning knowledge required – just basic Flutter & Dart

Join us today and start building the next generation of AI-powered fitness, wellness, and gaming apps in Flutter. Let’s get moving!

Who this course is for:

  • Students & professionals eager to learn Flutter app development with practical AI applications
  • Flutter developers (beginners & experienced) who want to integrate AI-based pose detection into their apps
  • Anyone who want to build AI-powered exercise and yoga apps
  • Mobile app developers looking to enhance apps with real-time motion tracking