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🧘♂️🤖 Flask, OpenCV, and MediaPipe power this yoga project for real-time pose detection. Using a webcam feed, it dynamically classifies poses with MediaPipe, while Flask enables web deployment. OpenCV manages video streaming and image processing, creating an interactive platform for yoga enthusiasts to practice effectively.
This is a computer vision project using the OpenCV library integrated with GUI using the PyQt5 library. This project consists of a supermarket analyzer used to analyze supermarket activity and hand gesture recognition using the MediaPipe library. Besides that, this project is also integrated with Firebase as the online database for the user.