Hand gesture to speech Empowering Communication for the Speech Impaired

The need for sign language interpreters makes it difficult to communicate effectively with deaf and mute people. The goal of this research is to create a deep learning model that can translate visuals in sign language into text and speech to address this. We propose a system that can convert sign language movements into comprehensible output by using a Convolutional Neural Network (CNN), which is renowned for its excellent accuracy. The goal of this deep learning application is to improve communication between those with normal hearing and those who have hearing loss.