One of our close friends was a type 2 diabetic since childhood, and he always had to stay aware of his nutritional intake. We thought that we could take this idea and help the general public stay aware of their diet.

What it does

Glucagon tracks a patient's caloric, sodium, sugar, cholesterol, and protein intakes, and allows them to easily watch their diet. A patient can simply take a picture of their food, and the nutritional data will be extracted from that. Furthermore, a doctor can monitor all of his or her patient's information through our web app.

How we built it

The IOS app was built using Swift, and the frontend of the web app was built using HTML/CSS and EJS. The backend was built with node.js.

Challenges we ran into

We ran into various problems with retrieving data from our database, and communicating with our server via POST requests.

Accomplishments that we're proud of

We learned how to use OpenCV and learned how to determine the size of objects, and this was impressive to us because we had never used object recognition or contour plots before.

What we learned

We learned how to use OpenCV.

What's next for Glucagon

We plan to improve our image recognition, display more analytics, and make UI improvements.

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