Real Time Detection and Conversion of Gestures to Text and Speech to Sign System

Millions of individuals throughout the world use sign language as their primary form of communication, particularly those who are deaf or hard of hearing. But because not everyone is proficient in sign language, it might be difficult to communicate and restrict access to information for sign language users This project represents a groundbreaking integration of technology in the field of communication and accessibility One of the many challenges is the ability to communicate with others through sign language. The goal of the system is to convert speech to text using NLP(natural language processing),Mediapipe for hand landmark detection and CNN for sign classification