GroceryX

A way for people to balance their diet using Image Recognition AI, Large Language Models, and databases for food nutrition information.

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Inspiration

We were inspired because of the growing epidemic that is emerging in America due to a lack of nutritional information. We want to make large amounts of nutritional information available to the public in an extremely accessible and user-friendly manner.

How we built it

Our project is made of 2 parts: a python backend powered by flask and a html,css, and js front end. We use ajax calls to get user input and webcam to identify what food is being displayed. Our project uses AI in multiple ways… We use a large language model to recommend alternative foods for people to consume. In addition, we have text recognition for reading the barcodes of items to fetch nutritional information. Lastly, we use image recognition to recognize fresh produce that is presented to the webcam.

Challenges we ran into

We had issues finding free resourses for image recognition. We ended up training our own model and using that. Another challenge we faced was connected front end to backend.(We had some functionality that we were unable include while we had working individual front and back ends.

Accomplishments that we're proud of

Usage of 3 types of AI, Code Decomp

What we learned

We learnt to use flask and first time training AI models on our own

What's next for GroceryX

We will finish connecting these unlinked features and add more nutritional info.

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