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.

Yoga-Tracker classifies various Yoga poses and not just static pictures but also real-time yoga poses performed in front of the camera.

This repository contains an implementation of a deep learning approach for yoga pose classification using Convolutional Neural Networks (CNN) and MediaPipe for body keypoint detection. The project aims to classify various yoga poses with high accuracy and low latency, making it suitable for real-world applications.

Python application to detect and correct yoga poses in real time

This is an Ai based Yoga Pose Detection System

This repository focuses on the Jeevit project, which offers users assistance with medical reports and dosage recommendations based on genetic data while also providing a personalized exercise trainer.

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

Yoga Pose Classification and Correction

Yoga-Pose_Predict is a Flask web app for predicting yoga poses in images. It uses YOLO for keypoint detection and a custom PyTorch model for classification. Users can upload an image to view the predicted pose.

Classification of images of people into their respective yoga poses using Machine Learning.

AI Yoga Guru recognizes the asana that you are performing and then provides you the instructions on how to perform that asana step by step.

Yoga Pose Recognition

Yoga Pose Detection and classification using deep learning

Yoga-Tracker classifies various yoga poses performed in front of the mobile camera.

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. 🚀

Deep Learning Final Project

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

Demo showcasing Federated Learning with Flower for yoga pose classification, enabling collaborative training across distributed datasets while preserving data privacy.

AsanaAi is not just another fitness app; it's a comprehensive tool designed to cater to various aspects of holistic health, ranging from yoga practice to cardiovascular workouts, and even mental well-being. It's a one stop solution for both Physical and Mental Health

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.