When our team came down to plan, we wanted to tackle an issue we found meaningful. After finding out that the majority of people are out of options when it comes to meeting with an optometrist. This may sound not so important but it should be mentioned that optometrists play a vital role when it comes to diagnosing early onset diabetes. As well as cataracts which is the leading cause of blindness. Another problem we found is the lack of available data that NGOs such as doctors without borders could use to maximize their efforts when it comes to tackling blindness.
What it does
We have an app that performs a visual acuity test to then determine your vision ranging from 20/200 to 20/10. Using the landolt-c test which uses a rotating C to test your vision. We also enable the ability to take a picture of your eye to then test against our built in house machine learning model to detect retinopathy, something indicative of early onset diabetes. We then store that data for future use for the effort of open sourcing data and provide useful insight for NGOs curing blindness and diabetes in third world countries.
How we built it
The app is built in react native, our machine learning model is built in python, and our server that acts as a middleman is built in python flask.
Challenges we ran into
Finding an appropriate dataset on eyes that didn't require the need of a special lens.
Accomplishments that we're proud of
Getting everything finished and polished considering how late we started our app.
What we learned
Not to come up with an idea at 10pm Saturday if we don't want to feel stressed.
What's next for Oculai
Open sourcing our data and creating analytics on said data.