Skip to content

mgkram4/Perfect-Pose-GDG

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Perfect Form

Perfect Form is an AI-powered mobile application designed to help users improve their exercise form through real-time pose analysis and feedback.

Project Overview

Perfect Form utilizes advanced computer vision and machine learning techniques to analyze users' exercise poses and provide instant feedback for improvement. The app aims to reduce the risk of injury and enhance the effectiveness of workouts by ensuring proper form.

How It Works

  1. Pose Capture: Users can upload photos or videos of themselves performing exercises using the app's intuitive interface.

  2. AI Analysis: Our backend, powered by state-of-the-art machine learning models, analyzes the uploaded media to detect key body points and assess the user's pose.

  3. Feedback Generation: Based on the AI analysis, the app generates personalized feedback, highlighting areas for improvement and suggesting corrections.

  4. Progress Tracking: Users can view their history and track their improvement over time through comprehensive statistics and visualizations.

Key Features

  • Real-time Pose Analysis: Instant feedback on exercise form using advanced AI algorithms.
  • Personalized Recommendations: Tailored suggestions for improving form based on individual user data.
  • Exercise Library: A comprehensive database of exercises with proper form demonstrations.
  • Progress Dashboard: Visual representations of user progress and improvement over time.
  • Social Integration: Optional sharing of achievements and progress with friends or a fitness community.

Technical Architecture

Frontend (Mobile App)

  • Developed using Flutter for cross-platform compatibility (iOS and Android)
  • Features a responsive and intuitive UI for easy pose uploads and feedback viewing
  • Integrates with device camera for real-time pose capture

Backend

  • Firebase for user authentication and data storage
  • Flask server for handling complex computations and AI model integration
  • Custom API for communication between the frontend and backend services

AI Model

  • Utilizes computer vision techniques for pose estimation
  • Machine learning models trained on a diverse dataset of correct and incorrect exercise forms
  • Continuously improved through user feedback and new data

Contributing

We welcome contributions to Perfect Form! If you're interested in helping improve the app, please check out our Contributing Guidelines for more information on how to get started.

License

This project is licensed under the MIT License.

Releases

No releases published

Packages

No packages published