Uvilox AI – Real-time sign language AI calling for emergency & healthcare
Hey Indie Hackers!
I’m incredibly proud to share what we’ve been building: Uvilox AI (https://uvilox-aiwebsite.pages.dev/).
The Problem: > For the deaf and non-verbal communities, making a simple phone call to a doctor or emergency dispatch (911) is a fragmented process. It frequently relies on human relay operators, leading to stressful delays during critical moments.
How Uvilox AI solves it:
We built a highly optimized vision AI ecosystem that acts as an automated calling assistant. It reads sign language instantly, converts it to audio for the receiver, and transcribes their spoken words back into real-time captions for the user.
Speed: Runs at sub-80ms latency to preserve natural conversation.
Accuracy: 97.4% accuracy across key sign language vocabularies.
Security: Built from the ground up to be HIPAA & GDPR compliant with AES-256 encryption.
We have officially launched our initial web footprint to find early community advocates, partners, and healthcare allies. Check out the site, and I’d love to answer any questions about our infrastructure or our mission!
This is a meaningful problem to tackle. The potential impact on emergency and healthcare communication for deaf and non-verbal users is significant.
I'm curious about a couple of things:
The reported latency and accuracy numbers are impressive. I'd be especially interested in learning how those metrics were measured and how the model performs in less controlled environments with different lighting conditions, camera angles, and signing styles.
Wishing you success with the launch accessibility is an area where AI can create real value.