REAL-TIME SIGN LANGUAGE CONVERTOR

Read full text
Cited by: 0
References: 2

Abstract

Communication between deaf and hearing people is often difficult because many people do not understand sign language.This paper proposes a Real-Time AI-Powered Sign Language Translation System that converts hand gestures into text and speech using Artificial Intelligence and Computer Vision.The system captures hand gestures through a webcam and processes them using deep learning algorithms such as Convolutional Neural Networks (CNN) and MediaPipe hand tracking.The recognized gesture is translated into readable text and spoken output using a Text-to-Speech engine.

Fields of Study & Subjects

Hand Gesture Recognition Systems Hearing Impairment and Communication Human Pose and Action Recognition

Publication details

Journal / source
International Research Journal of Modernization in Engineering Technology and Science
Publication date
12 March 2026
Language
EN