REAL-TIME SIGN LANGUAGE CONVERTOR
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