Viola Z., Neha J., Sarah T., Emaan M.

Our app, NutriScan, scans food labels and uses a photo recognition software called Tesseract to identify the text in an image. A user can check off their dietary restrictions (for example, a user could be trying to avoid foods that contain high fructose corn syrup because they want to have a healthier diet), and the app will provide feedback on whether the food product in question conflicts with the user's dietary restrictions.

Transparency between producers and consumers is something that is lacking in the food production industry. A lot of consumers are unsure of what the ingredients in their processed foods actually mean for their health.

We felt that this issue could be addressed with an app that would tell consumers whether the ingredients in their packaged foods can negatively impact their health, based on the specific requirements of their diet.

A technical problem we faced was we did not know how to translate photo to text, and in order to solve that issue, we found an OCR API called Tesseract and imported it into Xcode.

We are NutriScan, four high school students from the Girls Who Code Summer Immersion Program. All of us were really excited about the possibility of using image recognition, and wanted to create an app that would be useful in daily life.

This project was made by Girls Who Code Summer Immersion Program students at IBM (Bay Area).