Modern human action classification system using MediaPipe pose estimation and PyTorch deep learning, achieving 47x faster inference than the original TensorFlow implementation. Supports 100+ model architectures for classifying 40 human actions with real-time performance suitable for autonomous vehicles and video surveillance.

AI-based pose tracking and repetitions counter to help everyone do the workout.

AI-powered padel analytics

NeurIPS 2024 | 🤸‍♂️💥🚗Pedestrian-Centric 3D Pre-collision Pose and Shape Estimation from Dashcam Perspective

A Flutter Package to use Google Teachable Machine. To make a Pose classifier

control go1 pro robot using hand/body poses

Studies on Pose Estimation and Classification with PoseNet using ml5.js and p5.js libraries.

Pose Classification using OpenPose from OpenCV library.

Machine Learning Model for Oh Dance Applications.

Yoga Pose Detection using GANs and Real-Time Pose Estimation is a computer vision project that detects and classifies yoga poses from static images or webcam feeds. It uses GANs for data augmentation, keypoint detection models like OpenPose and PoseNet, and machine learning classifiers to evaluate pose accuracy and provide real-time feedback.

Build models to detect poses in FPS game

Specialization in Computer vision and Deep learning

Pose Estimation Using Mediapipe

This project is the Hand Gesture Slider web application. Control a beautiful, interactive slider with your hand gestures using your webcam!