Freshman 15 (112)

Inspiration

As first-year college students, we wanted to stay healthy and combat the "Freshman 15." We wanted to find a convenient way to learn more about what we were eating and how we could burn it off.

What it does

Freshman 15 (112) takes a picture of food and identifies what it is. It then returns the amount of calories in a standard serving size of the food, and how many minutes of certain exercises it would take to burn the calories off. Included exercises are biking, running, swimming, and walking.

How we built it

We used the Tensorflow open-source machine learning library and the food-101 database for image recognition. Code for calorie calculation and exercise was written in Python.

Challenges we ran into

We were unfamiliar with how to use machine learning libraries so it took us a while to integrate it with our code.

Accomplishments that we're proud of

Being able to successfully identify food from images. This was really fun to mess around with.

What we learned

We learned more about the applications of Python and Tensorflow which augmented our knowledge of machine learning. This was also our first hackathon experience so we learned how to manage our time well.