Inspiration
Everyone has the desire to be healthy. In fact, according to a 2021 Medifast survey, 93% of US adults set health goals. Part of the problem is that it’s not human fault itself, but actually how our foods, our products are laid upon us.
Usually, browsing through the grocery store, what we’d assume would be healthy actually isn’t. Something like orange juice you would assume to be healthy. That squeezed fruit juice that comes from the healthy source of oranges, is actually just pure sugar. By extracting the juice from the pulps, you’re essentially taking away all the nutrients and fiber from these fruits and throwing them away just to consume bad sugars underneath. In fact most items in our daily groceries stores that one would perceive as healthy aren't, which is why so many people find it impossible to be and eat healthy. Most get tired after wondering why they’ve grown 10 pounds when they tried so hard in dieting and exercise.
What it does
Which is where our app comes in, NutriScan. Through an involvement of Nutri Score, Eco Grade, and the ingredient list chart users are able to walk through the stores stress-free. With just a quick scan of the products’ barcode, a user can tell whether or not this product is built for health benefits. Whether protein bars are actually protein bars and not just composed of 1% protein. Whether the juices that you are drinking are bringing your health to light or if they are scamming consumers with pure sugar. NutriScan uses Openfoodfacts Data API to gain accurate facts and data when presenting to users.
How we built it
We built it using NutriScan and Openfoodfacts Data API. The languages we used were typescript, javascript, HTML, CSS, express.js, mql. IDE is VS Code and IntelliJ and WebStorm.
Challenges we ran into
Barcode scanning and API + database calling
Accomplishments that we're proud of
Finishing our website and teamwork.
What we learned
The issues located in consumerism.
What's next for NutriScan
Barcode recognition and AI implementation. Additionally, functional allergy detection.
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