Today, effective communication is important in our connected world. However, for millions of deaf and mute people, daily communication is difficult. Sign language allows deaf and mute people to communicate with others. However, many people with normal hearing do not understand sign language. Existing automated sign language recognition systems often have low accuracy and perform poorly in different background conditions. This limits their use in real-world applications. This project aims to solve these problems. It develops a system that translates sign language into text and speech in real time....

Sign Language Recognition, ResNet50, CNN, Gesture Recognition, Real-time Communication, Speech Conversion.