YummyBytesAI

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Recipe generated

Inspiration

As college students, sometimes we are limited to certain ingredients left in our kitchen and on a small budget. With YummyBytesAI, we can input our personal dietary preferences and restrictions for AI to help us create an idea for a meal.

What it does

YummyBytesAI takes in the dietary restrictions, allergies, cuisines, and ingredients you input to generate a complete ingredient list and instructions to cook a delicious meal.

How we built it

With the use of Gemini API and React, we coded the project in JavaScript, HTML, and CSS.

Challenges we ran into

As this was our first time utilizing an AI API and having little foundations in React, we had to do a lot of research and test runs within a short amount of time to gradually get our project to its final stage. Making specific prompts to ensure that Gemini produces the proper results was also a difficult challenge, given the creative lengths and results that it can have.

Accomplishments that we're proud of

In a short number of hours, we were able to learn two complex tools and develop a project with the functions that we were aiming to create.

What we learned

Collaborating together effectively across GitHub and VSCode, utilizing APIs, UI/UX design, prompt engineering, problem-solving, critical thinking, communication, and staying composed under pressure.

What's next for YummyBytesAI

As we continue learning new things in computer science, we hope to be able to come back and revisit this project and implement new features to develop a more enhanced experience for users.