Inspiration

We had a ton of friends, including ourselves, who faced this problem on a daily basis and when we saw a section dedicated to this in UB Hacking registration form asking about people's dietary wants, we realized this had to be made!

What it does

PickyEatr is an app that we developed that uses Optical Character Recognition and Google Firebase to analyze an image of a restaurant menu and highlight options that you can eat based on your dietary restrictions.

How we built it

The project involves 2+1 fundamental modules: Image Processing (contours, color detection, etc.) and OCR (Optical Character Recognition)

Challenges we ran into

Post OCR “contouring”

Accomplishments that we're proud of

We are creating our first OCR application with a combination of machine learning and non-machine learning techniques, utilizing real-time text analysis to identify new elements. As two first-time developers, we are working collaboratively and dividing tasks based on our strengths while also trying to quickly learn new APIs. Despite the challenge, we are determined to succeed and have foregone sleep in pursuit of our goal.

What we learned

Since only one of us was familiar with Android Studio, we had to quickly learn the basics within two hours so that we could all understand and contribute to the different stages of development.

What's next for PickyEatr

Enhancing the user interface, adding an iOS version, and constructing a machine learning model with more accurate text detection

Share this project:

Updates