Dev-Senpai

SignBridge is a browser-based gesture communication assistant designed to help bridge communication gaps between people who use hand gestures and those who may not understand them. It uses computer vision and machine learning to recognize trained static hand gestures and movement-based gestures through a webcam. The system combines MediaPipe for hand tracking, KNN for recognizing static gestures, and an LSTM model for recognizing gestures that involve movement. Once a gesture is recognized, the user can confirm it, and Meta's Muse Spark AI helps turn the confirmed gesture labels into clear, natural-language messages. SignBridge aims to make everyday communication more accessible by reducing the difficulty of expressing simple messages through gestures, especially when both people do not share the same way of communicating. Rather than claiming to translate an entire sign language, the project focuses on recognizing a selected set of trained gestures and turning them into understandable messages.