QuickPlate

Group Info

Group 55: Team SMS Sadiq Hussain Mahyar Tajeri Sangeev Rajkumar

Inspiration

Apps that allow you to track your nutrient intake don't recommend recipes based on your needs and research can be tiresome

What it does

It takes a user's macronutrient goals as input and generates a delicious and creative recipe

How we built it

A flutter app connects with a firebase database to store recipes and user info. The app makes calls to a python backend through an API which calls an LLM. The LLM receives a list of ingredients based on the users desired goals, an outputs a recipe.

Challenges we ran into

Creativity and diversity of ingredients were a big concern, but thanks to our proprietary algorithm and research into food groups we were able to make it work

Accomplishments that we're proud of

We got a fully working application that at least met our minimum requirements we set out to accomplish and were addressed by our problem statement.

What we learned

Data is difficult to understand, and even more difficult to aggregate

What's next for QuickPlate

Better integration for dietary restrictions and more input options to allow users who don't understand their macro needs to get recipes as well.

Built With

• fluter
• python