Efficient yoga pose estimation is a critical enabler for enhancing precision and performance in wellness and fitness applications. Advancements in computer vision and machine learning are driving remarkable progress in this domain.

YogaFlow Academy helps us to learn Yoga by watching videos without attending physically.

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

Yoga Poses Chart Enclosed Below

This is a content-based recommendation system in python that recommends asanas similar to the user's.

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.

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

Python application to detect and correct yoga poses in real time

Might be the only information rich API for Yoga Poses.

A stress releasing app (including chat bot, music player, yoga, meditation, counseling, drawing and gaming)

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

This is a Yoga Pose Estimation App which can be able to detect the yoga pose in real time by using posenet and KNN Classifier. Here the dataset used is custom data set which consists of 3 videos for representing 3 different postures. It is deployed in heroku. One Thing to be noted i.e this will work correctly for all mobile and edge devices.

API returning yoga categories and poses with images 🧘‍♀️