Inspiration

Student time management when it comes to deciding on what to cook with items they have. Eating out on a daily basis is not healthy.

What it does

Recommends recipes based on ingredients in the kitchen and user behavior that is what the person likes to eat and has liked in the past so that the ingredients are used before they expire!

How we built it

Created recommendation engine that makes use of content based filtering using python and frontend was developed using django, html, js and css.

Challenges we ran into

Integrating frontend with backend in python

Accomplishments that we're proud of

Successfully created a recommended engine with a nice look and feel frontend

What we learned

How to create webpages and learned various methods of filtering data for recommendation engine

What's next for What's In Your Fridge

Integrate it with smart devices /smart fridge /and with grocery apps like wegmans and walmart to recommend ingredients that you might buy to make a specific recipe.

Category

Best Data Science Hack Wegmans:Best Food Safety Hack Wayfair:Best Customer Foucs Hack

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