Inspiration
Every time I go to the grocery store deciding to change my food habits ends with me staring blankly at "12g protein, 7g sodium, 23g fiber" wondering what the real nutritional value of the item is, wishing I had my mom around. We wanted to make it easier for people to understand the nutritional quality of their food choices without it being overwhelming to decipher.
What it does
This app scans and analyzes food labels and provides an instant rating from A to E, based on the NutriScore rating system. This rating gives users a quick and easy way to assess the nutritional value of their food.
How we built it
We developed the app for IOS using Swift, integrated with openAI and Vision to accurately extract and interpret nutritional information from food labels.
Challenges we ran into
The biggest challenge we ran into was ensuring consistent and accurate text recognition from food labels, which often have different fonts, sizes, and layouts.
Accomplishments that we're proud of
We’re proud of successfully implementing a system that we ourselves would use, simplifying food label information for quick recommendations.
What we learned
Through this project, we learned the challenges of Optical Character Recognition for food labels. We also learned to effectively implement APIs and endpoints into code.
What's next for FoodLabelScanner
In the future, we plan to expand the app's capabilities by incorporating more features, such as personalized recommendations based on a user's pre-existing conditions, allergies or health goals.
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