Eyero
Offline cataract screening on a phone. An offline mobile app for early cataract detection in places where connectivity is a rumour.
Overview
Eyero is a mobile cataract detection app built for low-connectivity regions. The interesting constraint is the same as Tijafugo: the field is not a data centre.
The Problem
Early eye screening is hard to offer where clinics are far and the network is worse. A tool that needs the cloud at the point of use is not a tool.
The Approach
Put the model on the phone. Treat connectivity as optional. Keep the job narrow: flag a possible cataract early, then point someone toward care.
System / Product Design
The product is a screening aid, not a diagnosis. That boundary matters as much as the model.
Technology
Flutter · TensorFlow
Challenges
Offline is the product
If inference needs a round trip, the app fails in the places it was built for.
Key Decisions
On-device TensorFlow
The model travels with the phone. The network can stay down.
Outcome
Live at eyero.netlify.app.
What I Learned
- In healthcare-adjacent tools, what the product refuses to claim is as important as what it detects.