This project aims to use computer vision techniques to analyze and improve your squat form.

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

• Streamlit
• Mediapipe
• OpenCV
• NumPy
• Streamlit_webrtc

Run the following command in your pipenv (virtual environment):

streamlit run demo.py

Streamlit often tends to work better with pipenv than venv. In order to install your virtual environment, change to your project directory and run the following commands.

pip install pipenv

Activating your shell (pipenv): pipenv shell

exit command should deactivate your environment