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Sign Language to Speech Conversion System by kinagiabhishek330 is a document available to read on EtoBox.

This document discusses a system for converting Indian Sign Language (ISL) gestures into text and speech using various machine learning models, including CNN, FRCNN, YOLO, and Media Pipe. The system captures hand gestures through a camera, processes them in real-time, and generates spoken English descriptions, facilitating communication for the deaf and hard of hearing. The Media Pipe model is highlighted as the most effective for achieving the project

Author
kinagiabhishek330
Language
EN