Inspiration
We love what data can do to help people and that's what inspires us.
What it does
SugarSafe uses cutting-edge machine learning models to make predictions about your blood glucose levels based on your activity.
How we built it
Dan built the machine learning models. Gaurav and Alex worked on the datasets, developed and deployed the applications. Madhur worked on the design and the front-end.
Challenges we ran into
We had challenges integrating different languages: our machine learning models were in R, our server code was in Python, and our front-end was in JavaScript.
Accomplishments that we're proud of
We distributed responsibilities among our team members and leveraged each others' strengths. We dabbled with technologies that we didn't have experience with. For example, we built an Android Wear app as a proof of concept.
What we learned
We learned that with effective team work we can achieve more.
The web app can be accessed at http://sugarsafe.me.
What's next for SugarSafe
We would like to build more expressive models after getting access to a better dataset.
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