This project is a Multilingual Sign Detection System designed to recognize and classify gestures from American Sign Language (ASL) and Indian Sign Language (ISL). The system uses computer vision and machine learning techniques to capture hand gestures, process them, and predict the corresponding signs in real time. The aim of the project is to bridge the communication gap between hearing-impaired individuals and others by enabling a seamless way of understanding sign language.