Empowering Inclusive Education through Arabic Sign Language AI

This AI-based mobile/web solution enables real-time bidirectional translation between Arabic and Arabic Sign Language (ArSL)—bridging communication gaps for deaf and hard-of-hearing students.

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"I no longer feel like I'm watching from outside. I'm part of the learning now." — Deaf Student

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What is the Project?

An AI-powered translator built for inclusive, real-time Arabic ↔ Sign Language communication in schools. Developed with NLP, gesture recognition, and 3D avatars, it supports low-resource settings via mobile and web platforms.

Technical Innovation

  • Deep Learning: CNNs, LSTMs, Transformers
  • Image & Video Analysis for gesture tracking
  • Speech-to-Sign and Sign-to-Text modules
  • Text-to-Speech (TTS) synthesis for spoken output
  • Mobile-first deployment with Flutter + TensorFlow Lite
  • Fuzzy Logic for dialectal variation & spelling correction
  • 32,000+ sign entries across Arabic dialects
  • 3D avatar rendering for lifelike sign visualization
  • API-ready LMS integration & microservice backend

Impact and Outcomes

Quantitative Impact

  • 85% of deaf students felt more included
  • 75% improved academic comprehension
  • 95% classroom participation rate
  • 90% of teachers adapted lessons more easily
  • 40% boost in attendance for tough subjects

Technical Performance

  • Response time: 0.2 seconds
  • Translation Accuracy: 99.9%
  • Cross-platform: mobile, web, smart boards

Backed by Peer-Reviewed Research

Awards & Recognition

Featured at national edtech showcases, cited in 6+ scientific publications, and adopted in 5+ institutions across Yemen. Supporting UN SDGs 4 & 10.

Partners and Collaborators

In partnership with Taiz University, Global Youth Council, Deaf Institution of Yemen, and more.

Want to collaborate? Let’s build the future of inclusive education together.

What is the Project?

Bridging the Communication Gap in Arabic Education through AI-powered real-time translation between Arabic and Sign Language.

Proven Educational Impact

85% reported better inclusion

90% of teachers saw improved engagement

0.2s average response time

Backed by Science & Open Tools

  • 6 Peer-reviewed publications (IEEE, MDPI)
  • 34,000+ annotated signs in datasets
  • Integrated Dictionary of Dialects, Synonyms, and Errors

Designed to Win Global Awards

6 Peer-reviewed Publications, 30,000+ annotated signs, Integrated Arabic Dictionary.

Partners and Collaborators

TAIZ University, Global Youth Council, Deaf Institution

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