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virtual personal gym trainer based on computer vision and machine learning technologies. In this project, we are using Pose estimation techniques that detects the user’s exercise pose and angles and provides real time feedback of his Pose, angles and reps. Through which user can improve their form. Gym Trainer utilizes the best in class pre-trained pose estimation model to distinguish a user’s pose by using pose landmarks, then evaluates the vector geometry of the posture through an activity to give valuable feedback.
Major Technologies Used in this project are:
- [![Flask][Flask.com]][Flask-url]
- [![Mediapipe][Mediapipe.com]][Mediapipe-url]
- [![OpenCV][OpenCV.com]][OpenCV-url]
Make sure your drive has enough space to download and run this application.
Python Version 3.10.2 must be installed on your system
Below is an example of how you can instruct your audience on installing and setting up your app. This template doesn't rely on any external dependencies or services.
- Clone the repo
git clone https://github.com/syedalihn/FitMate.git
- Install Python packages
pip install i
- Run app.py
python app.py
- Browse Application
http://localhost:3000
Can be used in houses, offices, personal space.
- Add Changelog
- Add back to top links
- Add Additional Templates w/ Examples
- Add "components" document to easily copy & paste sections of the readme
See the open issues for a full list of proposed features (and known issues).
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
Project Link: https://github.com/syedalihn/FitMate
Use this space to list resources you find helpful and would like to give credit to. I've included a few of my favorites to kick things off!