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AI Android application crafted with Kotlin that harnesses the power of MediaPipe Pose Landmark Detection to deliver real-time feedback on exercise form while accurately counting repetitions

License: Apache License 2.0

Kotlin 61.67% Java 38.33%
android java kotlin machine-learning mediapipe pose-detection

repdetect's Introduction

About Me :

As a student at 🏫 Metropolia University of Applied Sciences in Finland, I am actively working towards a degree in Information Technology, specializing in the creation of innovative software applications for both web and mobile platforms

  • 🌱 In my leisure hours, I passionately engage in the development of a diverse array of personal projects, consistently exploring and embracing cutting-edge technologies to enhance my skills and deepen my understanding.
  • 📫 Reach me through email: [email protected]

Languages and Tools :

Python  Kotlin  Swift  JavaScript  Java  C and C++  Android Studio  Xcode  Arduino  React  Material UI  Bootstrap  Tailwind CSS  CSS  HTML  PostgreSQL  MySQL  MySQL  NodeJS  Selenium Testing  Docker  Docker  AWS  Azure  Google Cloud 

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