/AR-Fitness

Progressive webapp is an attempt to give users the experience of a gym trainer in the comfort and flexibility of home Monitoring the physiological aspects of the human body. MediaPipe library which tracks the body movements Improves mind-muscle connections by detecting 33 body points.

Primary LanguageJavaScript

AR Fitness(Augmented Reality Fitness )

Authors

Content of Read Md file:

  • Abstract
  • Tech Stack
  • Features

Demo:

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Abstract

  • Augmented Reality (AR) technology for an immersive and interactive experience
  • Selection of workout programs based on different goals and fitness levels
  • Tracking of your progress and workout history
  • Personalized feedback and guidance to improve your technique and performance
  • PWA optimal viewing on different devices

Front-End

  • React, a popular front-end framework, to build our user interface in a modular and scalable way. React's component-based architecture makes it easy for us to manage the various elements of our UI, and its virtual DOM ensures that our application is highly performant.
  • Material UI is a popular React component library that provides pre-built and customizable UI components following Google's Material Design guidelines. These components can be used to build beautiful and responsive user interfaces with ease.

Back-End

Firebase:

Firebase is a cloud-based platform that provides a range of services and tools for building and managing web and mobile applications. Some of the key features of Firebase include:

  • Realtime Database: a NoSQL database that allows you to store and sync data in real-time across multiple clients.
  • Authentication: a service that allows you to easily add user authentication and identity management to your app.
  • Hosting: a service that allows you to deploy and serve your web app with a scalable and secure hosting solution.

Mediapipe

  • Mediapipe is an open-source framework developed by Google that provides tools for building real-time computer vision applications.
  • We chose to use Mediapipe specifically for its pose detection capabilities, which allow us to accurately estimate the positions of 33 key body landmarks in real time.