A simple demo of MediaPipe's ML solution in pure JavaScript

Connect Camera to VRM with Web

Transparent backgrounds with WebRTC

Basically it's open cv python project where user can draw any alphabets or number in the frame using his index finger tip and after that our model can recognize which alphabets or number is written.

基于Python+Unity实现的动捕Vtuber

Next Tech Lab's Website by the team ' sudo-Beholder ' for NTL Hack '2022. 🙂

KW-Capstone-project : Korean Sign-Language Translator

AR app to test different hair color in real time on video and images. Using MediaPipe Image segmentation task

The Sign Language Detector and Translator is an innovative web application that leverages the power of machine learning, Flask Python, and web development to bridge the communication gap between the Deaf and Hard of Hearing community and the hearing world.

Basic flask web for triggering anything from python using hand gestures

AI Personal Trainer

This project detects eye blinks in real-time using Eye Aspect Ratio (EAR) and MediaPipe's facial landmark detection. It draws eye landmarks, calculates the EAR, and plots the results in real-time.

Vigyaan Project

plAiforCause - Desktop App to play gesture based games for social cause

GestureLock is a web application that utilizes MediaPipe library to detect hand landmarks and identify the gestures displayed.

An application for learning the Polish Sign Language. It uses a sequential Neural Network to detect signs shown by the user and has a tutorial for each letter.

Providing solutions to modern day tech problems, one image at a time. This product identifies if the image uploaded is acceptable in important documents, like PAN card and Voter IDs

A web application powered by machine learning models that predict the yoga asana performed by users. Designed to enhance the daily practice of yoga enthusiasts, this application offers real-time feedback on posture, enabling practitioners to refine their technique, elevate their practice, and mitigate the risk of injuries.

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.

FaceDetec: A project for detailed face similarity detection using advanced computer vision techniques. Enhancing security and personal identification with precise facial feature analysis.