Build Ai Fitness Apps In Android Kotlin With Pose Detection

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!

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Pose Detection & Applications

Section 2: Image Picker Android(Choose or Capture Images)

Lecture 3 Creating a New Android Project & Designing the Image Picker App UI in Kotlin

Lecture 4 Choosing Images from the Gallery in Android with Kotlin

Lecture 5 Capturing Images from the Camera in Android using Kotlin

Lecture 6 Converting Images to Bitmaps in Android with Kotlin

Section 3: Pose Detection in Android with Images

Lecture 7 Setting Up Starter Code for Pose Detection with Images in Android (Kotlin)

Lecture 8 Adding Pose Detection Library & Exploring Google ML Kit Documentation in Android

Lecture 9 Creating a Pose Detector & Passing Images for Analysis in Android Kotlin

Lecture 10 Drawing Body Landmark Points on Images in Android with Kotlin

Lecture 11 Drawing Lines Connecting Body Landmarks on Images in Android Kotlin

Lecture 12 Best Way to Draw Lines Between Body Landmarks in Android Kotlin

Lecture 13 Assignment Solution: Drawing a Complete Digital Skeleton in Android Kotlin

Section 4: Yoga Pose Detection in Android

Lecture 14 Detecting Yoga Poses in Images Using Pose Detection in Android Kotlin

Lecture 15 How Yoga Poses Are Detected Using Pose Landmarks in Android Kotlin

Lecture 16 Using ChatGPT for Detecting Different Yoga Poses in Android Kotlin

Section 5: Display Live Camera Feed in Android Using Camera2 API with Kotlin

Lecture 17 Creating a New Android Project and Handling Permissions in Kotlin

Lecture 18 Display Live Camera Feed in Android Using Kotlin

Lecture 19 How Live Camera Footage Is Displayed in Android Using Kotlin

Lecture 20 Extracting Camera Frames as Bitmaps from Live Feed in Android Kotlin

Section 6: Realtime Pose Detection in Android Kotlin

Lecture 21 Performing Real-Time Pose Detection with Live Camera Feed in Android Kotlin

Lecture 22 Pose Overlay View to Draw Detection Results on Live Camera Feed in Android

Lecture 23 Drawing Body Landmark Points on Live Camera Feed in Android Kotlin

Lecture 24 Scaling Pose Detection Results in Android Kotlin

Lecture 25 Precisely Scaling Pose Detection Points for Accurate Overlay in Android Kotlin

Lecture 26 Drawing a Digital Skeleton on Live Camera Feed in Android Kotlin

Lecture 27 Handling Frame Rotation for Accurate Pose Detection in Android Kotlin

Section 7: Exercise Detection & Counting in Android Kotlin

Lecture 28 Detecting and Counting Push-Ups Using Pose Detection in Android Kotlin

Lecture 29 How Push-Ups Are Counted Using Pose Detection Logic in Android Kotlin

Lecture 30 Detecting and Counting Squats with Pose Detection in Android Kotlin

Lecture 31 Workout Selection in Android Kotlin

Lecture 32 Creating and Setting a Custom ListView Adapter in Android Kotlin

Lecture 33 Displaying GIF Animations in Android Using Glide Library in Kotlin

Lecture 34 Building a Beautiful Tile-Based GUI for Exercises in Android Kotlin

Lecture 35 Detecting the Selected Workout in Android Kotlin

Lecture 36 Enhancing Pose Detection Logic Using ChatGPT in Android Kotlin

Lecture 37 Enhancing the Detection Activity UI for a Better Fitness App Experience

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