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AdityaSai2004/FitNut-V2

 
 

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FitNut-V2

This project is a fitness application that uses Java programming language, Android Studio as the development environment, Google's MLKit for accurate pose detection, Firebase for backend services, and Google API Auth for authentication.

Requirements

  • Java Development Kit (JDK)
  • Android Studio
  • Android device with camera support
  • Google Cloud Console account for using MLKit APIs
  • Firebase project for backend services

Installation

  • Clone or download the repository.
  • Set up your Google Cloud Console account and create a new project.
  • Enable the MLKit APIs in your Google Cloud Console project.
  • Obtain the MLKit API key.
  • Set up your Firebase project for backend services and obtain the Firebase configuration.
  • Set up the Android development environment with Java and Android Studio.
  • Connect your Android device to your machine.
  • Open the project in Android Studio.
  • Add the MLKit API key and Firebase configuration to the project.
  • Run the application on your device.

Features

  • Accurately detects and counts reps during workouts using Google's MLKit pose detection.
  • Assigns a score based on performance.
  • Integrates Firebase for backend services, including user authentication and data storage.
  • Uses Google API Auth for user authentication.

Usage

  • Open the application on your device.
  • Log in or create an account using Google API Auth.
  • Select a workout from the list.
  • Follow the on-screen instructions to complete the workout.
  • The application will accurately detect and count your reps and assign a score based on your performance.
  • The data will be stored in Firebase for further analysis and leaderboard updates.

Contributing

This project was created by Aadhithya D, Steve Aldrin. If you would like to contribute to this project, feel free to fork the repository and submit a pull request.

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  • Java 98.3%
  • Kotlin 1.7%