AI-Powered Real-Time Egyptian Sign Language Translator
Source: Dev.to
Overview
I recently worked on a project focused on accessibility and AI: a real-time Egyptian Sign Language (ESL) translator designed to help reduce communication barriers for the Deaf and Hard‑of‑Hearing community in Egypt.
The system uses computer vision and deep learning to recognize continuous sign language sequences in real time. Instead of focusing on isolated characters, the model processes temporal gesture sequences, allowing more natural translation.
Key Components
- MediaPipe‑based holistic keypoint extraction
- BiLSTM sequence model for gesture understanding
- Context‑aware post‑processing to merge letters into meaningful words
- Optional text‑to‑speech output for accessibility
Goal
The aim is not only technical accuracy but also practical usability on standard hardware with low latency, making the translator accessible to a wide audience.
Further Reading
I wrote a detailed article explaining the motivation, architecture, and challenges:
👉 Full article on Medium
Real‑time Egyptian Sign Language Translator – AI‑powered solution to empower the Deaf community
Feedback from people working in AI, accessibility, or sign language technology is greatly appreciated.