🦾 Detect hand movements using EMG signals with EMD-CCT feature extraction and a Transformer model for accurate gesture classification.

🎮 Control a real-time 3D particle system with hand gestures using React, Three.js, and MediaPipe for an engaging interactive experience.

🖊️ Create art in the air with this gesture-based drawing app that uses your camera for real-time writing and customizable artwork features.

▶️ Create an interactive video player with draggable controls, smooth animations, and a glass-like UI for a seamless user experience on iOS and Android.

✋ Detect and count hand gestures in real-time using MediaPipe and OpenCV, enabling intuitive human-computer interaction applications.

An assistive technology system enabling mute individuals to communicate through hand gestures. Uses flex sensors with Arduino to capture finger movements, KNN machine learning for real-time gesture classification, and text-to-speech for voice output. Supports 11 predefined phrases with expandable gesture library.

This project centers around two primary aspects: the development of a model for the recognition of American Sign Language (ASL) gestures utilizing a dataset, and the real-time prediction of gestures via a camera feed, accompanied by the conversion of these predictions into spoken language.

AI-powered Rock–Paper–Scissors game using MediaPipe hand tracking and TensorFlow for real-time gesture recognition.

a realtime desktop translation app for def people. Translating sign language into subtitles

Hand Gesture Recognition system using Machine Learning (SVM) and OpenCV to classify gestures from the LeapGestRecog dataset for touchless human-computer interaction.

Real-time hand gesture based volume control system using MediaPipe, OpenCV, and Pycaw with interactive UI and analytics.

AI-powered hand gesture recognition system for controlling drones using computer vision and embedded AI.

Real-time hand gesture recognition system utilizing sEMG signals and Deep Reinforcement Learning (DQN).

Gesture Controlled LED Lighting System is a computer vision–based project that allows users to control LEDs using hand gestures.

Quickly add MediaPipe Pose Estimation and Detection to your React Native app. Enable powerful features in your app powered by the body or hand.

AI-powered photo booth using Computer Vision and MediaPipe to detect a bracket (<>) hand gesture and capture branded event photos.

An interactive AR filter system built with Python, OpenCV, and MediaPipe, supporting face tracking, hand gesture detection, and dynamic filter overlays.

Interactive 3D motion tracking controlled by hand gestures using MediaPipe and Three.js.

Hand gesture controlled O/X game using OpenCV and MediaPipe (Computer Vision project)

A Python-based application that lets you control your computer mouse using hand gestures captured through your webcam. Using computer vision and hand tracking technology, it enables natural mouse movements, clicks, scrolling, and drag operations without touching your physical mouse.