Ocunetra is a mobile iOS app that uses AI and machine learning to help users screen for common eye conditions using only their smartphone
- Screens for Diabetic Retinopathy using a model trained on 6,000+ images
- Screens for Conjunctivitis using a model trained on 2,500+ images
- Generates SHAP heatmaps to show what areas influenced the AI's prediction
- Includes common eye tests: Amsler Grid, Ishihara color blindness, contrast sensitivity, and peripheral vision
- Lets users find nearby specialists with a built‑in map feature
- Provides eye‑health tips, exercises, and safety guidance
- Languages: Python, Swift
- Platforms: iOS, CoreML, MacOS (for development)
- Tools: SHAP explainability, as well as tips about eye health
We were inspired by personal family experiences with preventable blindness and the lack of access to eye care in rural and underserved areas. With most people owning smartphones, we wanted to create an affordable and accessible way for anyone to check their eye health.
- Training and optimizing the ML models
- Bridging SHAP outputs from Python into CoreML
- Designing a simple, clear UI that anyone can use
- Multilingual and text‑to‑speech support
- Secure clinical data sharing and remote monitoring features