Inspiration:

We all love food, but sometimes it can be difficult to find the right recipe. You might find some that are too complicated for our skill level, or your recipe might serve a vastly different amount of people than you were planning for and you need to recalculate all of your ingredient amounts. Because of this, we decided to create an AI cooking assistant that can help you find the perfect recipe for your needs.

What it does:

QuickDish creates a recipe depending on parameters such as recipe complexity, dietary restrictions, number of people you are serving, and type of meal. With these parameters, the AI will pull from different sources to create a recipe that is just right for you. It also has an image recognition mode where it can see the ingredients you have available and create a recipe based on them. If you enjoy any of the recipes, you can also save them for later use.

How we built it:

We used Replit and VSCode to put together our code in Python. We used an OpenAI API to create the recipes and for the image recognition model. We also used Copilot to assist us with our code.

Challenges we ran into:

We were unable to add the AI to the website directly, as we needed to pay to deploy it, and we faced challenges integrating an HTML website due to its complexity. We also tried to build our own image recognition AI using Palantir, but we did not entirely understand how the interface worked and found it too complicated for our current abilities.

Accomplishments that we're proud of

We are proud of how much we have learned. We are also proud of creating an app that will help with our daily lives to solve a problem we have had for a long time.

What we learned

We learned how to work with APIs like OpenAI's API in Python. We also learned the basics of working with Palantir Foundry, even if we couldn't fully utilize it. In addition, we learned how to work better under pressure in a hackathon environment.

What's next for QuickDish

We hope to train the model to be able to see a picture of a food and pull up its recipe. We also want to fix the recipes that the AI produces so it can cross-check with other recipes on the internet to make better recipes. We hope to make this app bigger, and put it on the market for people to use in their daily lives.

All of us are beginners, and we really enjoyed working on this project!

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