Food Friend

Food Friend is the perfect tool for incorporating a healthy diet on a budget. With the use of AI you can seamlessly track meals and find recipes using ingredients you already have.

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Inspiration

We found that eating healthy can sometimes be difficult, as you don't know what to cook. So we thought an app that can help you find recipes with ingredients you already have, then track those meals, would be a perfect tool for people looking to eat healthier.

What it does

Our app allows users to take pictures of ingredients and find recipes using those ingredients. It also allows you to scan and track your meals. Those meals are then analyzed to give you info on your diet's healthiness.

How we built it

We built it using Python and FastAPI for our backend, and we used PostgreSQL hosted on AWS for our database. Our frontend was created using React Native and Expo. We used the OpenAI LLM to do the image detection and recipe creation.

Challenges we ran into

Some challenges we ran into were the initial environment setup, where we had issues making sure everyone could download the right dependencies and setting up authorization.

Accomplishments that we're proud of

What we are most proud of is being able to create a full-stack application in a limited time and how we were able to implement the image detection.

What we learned

We learned some new technologies and were able to build on our previous experiences creating applications. We also learned a lot about working as a team and splitting roles.

What's next for Food Friend

Our next goal would probably be to build on what we have. We could polish the ui/ux and add new features such as tracking how much you save by cooking a given recipe. A release on the app store could also be in the future.

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