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Build Ai Fitness Apps In Android Kotlin With Pose Detection
Published 5/2025
Created by Mobile ML Academy by Hamza Asif
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 37 Lectures ( 3h 51m ) | Size: 2.26 GB
Create AI-powered fitness & workout apps in Android 16 with Kotlin and Pose Detection. Build Yoga, Exercise Counter Apps
What you'll learn
Build AI-powered fitness apps that detect poses and track exercises in real time
How to integrate Google's ML Kit Pose Detection into native Android apps using Kotlin
Capture human body poses from both images and live camera feed
Process and visualize key body landmarks like shoulders, elbows, knees, and more
Develop a Yoga Trainer App that recognizes and evaluates yoga postures
Create an Exercise Counter App that tracks repetitions using body movements
Understand best practices for optimizing performance and accuracy in motion tracking apps
Build mobile apps that combine Kotlin, AI, and real-time camera processing
Requirements
Basic knowledge of Android development using Kotlin or Java
A computer with Android Studio installed (Windows, macOS, or Linux)
No prior machine learning or AI experience is required - everything will be explained step by step
Description
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 developers looking to integrate AI/ML in their appsApp creators building fitness, yoga, or wellness platformsTech enthusiasts who want to learn real-time body movement trackingNo ML experience needed - just basic Android & Kotlin knowledge!Why Take This Course?Build real AI-powered fitness apps in native AndroidHands-on projects with source code & visual feedbackStep-by-step guidance on pose detection integrationUse Google ML Kit for accurate and reliable pose trackingCreate apps that stand out in fitness, sports, and health domainsLet's Get Moving!By the end of this course, you'll be ready to develop real-world Android apps that understand human motion and respond intelligently. Start building the next generation of AI fitness and workout apps - all with Kotlin and ML Kit!
Who this course is for
Android developers (beginners to intermediate) who want to add AI capabilities to their apps
Kotlin programmers looking to build real-time fitness and workout tracking applications
Students and tech enthusiasts eager to learn AI-powered motion tracking in mobile apps
Anyone who wants to create smart Android apps that detect human body movements in real time
App creators building fitness, yoga, health, or sports-based mobile applications
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