Real-Time Sign Language Recognition Using Deep Learning
Keywords:
Convolutional Neural Networks (CNN),, Recurrent Neural Networks (RNN), and, Long ShortTerm Memory (LSTM)Abstract
This project aims to improve communication challenges faced by the deaf and dumb peoplepeople.. Itdoes this by
creating a system that turns hand signs into spoken words and written text. The paper describes a real-time sign
language recognition system built with deep learning. It uses Convolutional Neural Networks (CNN) to identify
handgestures and Google Text-to-Speech (GTTS) to produce voice output. The system captures images of hand signs
with a camera, classifies the gestures with CNN, and then uses GTTStoconverttherecognized signs into speech. The
system works in real time, making it easier for people with communication difficulties to connect with others. This
approach promotes inclusion and helps reduce language and cultural barriers. It makes communication simpler for
everyone, no matter their physical abilities.
