AI4KSL: Bridging Language Barrier using Artificial Intelligence for Kenyan Sign Language among Deaf Learners
AI-powered sign language translation for inclusive education
Overview
AI4KSL is designed to reduce language barriers for deaf learners by combining computer vision, sign-language data collection and avatar-based translation. The project creates accessible tools for learners, teachers and communities, helping to bridge communication gaps in education and digital access.
Project logic
Aim
Develop practical AI tools that support Kenyan Sign Language recognition and translation for educational contexts.
Context
Deaf learners face access barriers in education due to a lack of scalable KSL interpretation and digital tools.
Tasks
Collect sign-language corpora, train computer-vision models, develop avatar/translation interfaces, and pilot in classrooms.
Success
Demonstrated prototypes that improve classroom communication and documented workflows for further deployment.
Focus areas
- Disability Inclusion
- Computer Vision
- Sign Language
- Education