Inspiration

When we see a really delicious looking food on social media, we might wonder 'What is that? Where can I get it?'. Sometimes you'll see the name of the food in the descriptions, but other times, we see meaningless tags instead: #FoodStagram #FridayDinner #Family #Love. So I thought we could use open source image recognition API to predict food information and, to make it more convenient, provide links to recipe and Yelp for the specific food.

What it does

A user can input an image (via URL or uploading from the local machine), and get a prediction result of what the food in the picture uploaded is, and also provides a link to yelp and recipe.

How we built it

We used html and css for frontend, and javascript with Clarifai API for backend.

Challenges we ran into

We were not too familiar with html and javascript, so we spent most of the time figuring out how to make buttons properly respond, etc.

Accomplishments that we're proud of

We are proud that we managed to work on this project together and finished a fully working application, within the timeframe.

What we learned

We familiarized ourselves more with javascript and html formats.

What's next for Krave 2.0

Combine with the original app link. Make the design more user intuitive.

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