GoodNuch

Nutrition Info Adding
Auto-inserted Nutrition Facts
Nutrition Facts cont.
Add From Multiple Sources
In-app Camera Viewfinder
Daily Nutrition Values

Inspiration

GoodNuch (short for good nutrition) was inspired by the lazy man's desire for a low effort nutrition tracking app.

What it does

GoodNuch uses the google cloud vision api to read nutrition facts from a label for you, and automatically insert the data into your daily nutrition log, where it tracks your nutrition compared to the daily recommended values.

How we built it

We used the google cloud vision api with android studio to develop a computer-vision-enabled phone application.

Challenges we ran into

We attempted to use a number of other machine vision libraries/apis before we decided on the google api. In addition, getting the application to run and display on an unfamiliar platform like Android was a big challenge.

Accomplishments that we're proud of

We're proud to have created something we think could be truly useful to the Android community. Our application encourages good nutrition and learning to watch your diet, in an attempt to combat the epidemic of poor health habits.

What we learned

We learned a lot about using Android and Android Studio, and look forward to using our experience to enrich our future projects.

What's next for GoodNuch

We would like to polish up the application for submission to the Google Play Store, where real people could actually use it. We would also like add more features, like custom daily nutrition goals, tracking for minor nutrients, and visualization of personal nutrition trends.

Built With

Submitted to

HackRU XII

Created by

I designed the project and developed the android-specific features, such as reading and writing to the UI, the layout of the app, and the flow of control between the different parts of the application. I did research on the most important nutrients to ensure our app could be useful to real users.

Leonard Wohl
I worked on the backend which involved utilizing the google-vision api calls to translate the data returned from the calls into usable data. This involved parsing the text strings looking for words that were similiar to the specific nutrition facts that we were looking for as well as the quantity that specific nutrient was. I then created a saving and loading file system that created persistent data for the user that would be reset each day so that they could keep track of their daily intake. I learned a lot about android due to this being my first android project and i enjoyed the experience extremely.

Roland Gorzkowski

Updates

Leonard Wohl started this project — Apr 23, 2017 10:08 AM EDT

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