Interview Buster is an AI-powered tool designed to help job seekers enhance their non-verbal communication skills. By leveraging advanced computer vision techniques, it provides personalized feedback on body language, including facial expressions, head posture, eye contact, hand gestures, and body poses, ultimately boosting interview success rates.

Running Pose Estimation involves detecting and tracking the key landmarks or points on a person's body in an image or video. The goal is to understand and analyze the body's pose, movements, and gestures, which can be valuable for various applications.

Scripts for detecting and visualizing pose landmarks on images using MediaPipe, including upper body cropping and combined visualizations.

Air drumming using MediaPipe Pose Landmarker.

A web app for TAI (Tekken AI). With TAI you can play 1v1 fighting games with ease using your body gestures

Yoga Position Detection, Based on Media Pipe Pose Tracking Model

Gesture Recognition with Google MediaPipe in ROS

Marvin at the Cooper Union

I worked on this short project for which estimates the angles between the joints and gives a frequency count of the number of times a person works out using that particular pose. Used MediaPipe and OpenCV, this was pretty straightforward

Detectors World... See the World Through Code. Build Computer Vision applications in easy and handy way.

TFG de Ingeniería Robótica para teleoperar robots manipuladores a partir de la posición de la mano de una persona

Make use of the power of Mediapipe’s pose detection, this project is built in order to analyze, detect and classifying the forms of fitness exercises.

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.

A karate trainer made using python utilizing MediaPipe to detect how accurate a move is.

ML Model that translates Hand Motion Gestures to textual data

An Android Java Native App to count push up using K-NN Algorithm with dataset and Mediapipe pose to model the human into 3d skeleton of points and lines

Yoga Recommendation and Detection

🧘‍♂️🤖 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 project leverages OpenCV and Mediapipe for real-time pose detection, transforming a workout into a tech-driven exercise. Users perform 16 pullups on each arm, tracked by angle detection algorithms. The system visualizes angles and counts, enhancing engagement and accuracy in physical health routines.