APPLICATION OF SIGN LANGUAGE RECOGNITION USING MACHINE LEARNING

Many individuals who use sign language face a lot of difficulties in communicating and learning even translating it usually takes a lot of time and requires interpreters. This research introduces SignSpeak a system that recognizes sign language in real time using machine learning. It uses Media Pipe Hands to detect hand movements and a random forest model to identify gestures.the system adjusts hand data to work for different hand sizes and can recognize signs like Hello, yes, No, Okay,please and thank you accurately streamlit web interface show a live webcam feed with the detected gestures and confidence scores. Tests show that SignSpeak can quickly and correctly recognize hand signs, helping people communicate more easily