
Deafly Health
Bridging the mental health gap with AI-native emotion sensing for Sign Language platforms.
RESEARCHER
Ransford Oppong
Category
Assistive Tech
Year
2025
Deafly Health is an emotion-sensing AI engine designed for Ghanaian Sign Language (GSL) mental health platforms, focusing on understanding emotional cues expressed through sign, facial expression, and body language in video interactions.
It is built to support Deaf and hard-of-hearing Ghanaians in therapy, counseling, and digital mental health settings by making underlying emotional states more visible and actionable to clinicians, platforms, and support systems.
The platform aims to integrate with existing and future mental health apps and services as a core engine, rather than a single standalone app, so it can power multiple use cases such as emotion-aware chat or video therapy, crisis-risk flagging, and personalized well-being insights for Deaf users. By centering GSL and Ghanaian cultural context in its datasets, models, and evaluation, Deafly Health targets a major accessibility gap in global emotion-recognition AI, which rarely includes African sign languages or Deaf mental health needs.






