Build AI Fitness Apps in Android with Pose Detection 2025

Are you an Android developer who wants to build intelligent fitness apps that detect yoga poses, count exercises, and track workouts in real time?This course is for you!In this practical, hands-on course, you’ll learn how to integrate pose detection models into native Android apps using Kotlin and Google’s ML Kit. Whether you’re building fitness trackers, AI yoga coaches, or interactive workout apps, you’ll discover how to use pose detection to analyze human body movements by identifying key points like shoulders, knees, and ankles.What You’ll Learn1: Introduction to Pose Detection and real-world use cases in fitness, healthcare, and sports2: How to use Google’s ML Kit Pose Detection API in Kotlin-based Android apps3: Capture and analyze poses from images and live camera feed4: Build AI fitness apps like: Yoga Pose Detection App – Evaluate yoga poses in real time Exercise Repetition Counter App – Count push-ups, squats, and more Posture Analysis App – Detect user posture and provide feedback Process pose detection results to detect key points and track movements Display real-time pose data using Android’s camera and drawing overlays Course Structure Module 1 – Introduction to Pose Detection and ML Kit in Android Module 2 – Pose Detection with Static Images (Gallery or Camera) Module 3 – Real-Time Pose Detection Using Live Camera Feed Module 4 – Building Hands-On AI Fitness Apps in Kotlin Module 5 – Optimize User Experience and Detect Movements Accurately Who Is This Course For?Android developers (beginner to advanced)Kotlin deve