This repository contains code for collecting pose data of various yoga poses using the MediaPipe Pose model. The collected data includes the angles of different body joints in each yoga pose.

This repository contains the code/script to predict 5 types of Yoga poses namely downdog, goddess, plank, tree and warrior2.

Yoga pose classification model based on pose estimation (BlazePose 3D)

This project recommends seven tailored asanas based on a user's health conditions. Additionally, our yoga pose estimator detects incorrect postures for improved form.

HYPC-Net combines deep convolutional neural networks with classical machine learning techniques to achieve superior accuracy in classifying yoga poses. This project includes a comprehensive analysis of model performance using the Yoga-82 dataset, offering a comparative study against state-of-the-art CNN models.

This project combines Flask, OpenCV, and MediaPipe to create a real-time yoga pose detection application! 🧘‍♀️📹 Using your webcam, it analyzes your yoga poses and provides real-time feedback, helping you perfect your practice. 🚀