RecipAI

Using Neural Seek mAIstro we curated an agent that recommends recipes to users after they've provided the agent with their availiable ingredients by using block based level programming.

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Inspiration

We wanted to make a web based project that recommended recipes to Users.

What it does

It takes in user input for ingredients and outputs possible recipes you can create with those ingredients. It also adds additional ingredients that you may need to creat something else.

How we built it

For the back-end, we used the NeuralSeek mAIstro platform which utilizes block based programming where we had to connect the right nodes and add the appropriate instructions for recepAI to run successfully. For the front-end, we used html with assistance from AI to create a refrigerator themed user-interface.

Challenges we ran into

Connecting it to HTML and CSS to wrap it. Didn't have enough javascript knowledge or API knowledge to get that functionality to work.

Accomplishments that we're proud of

We liked that the AI run successfully, we got the general theme of what we wanted to do to work.

What we learned

We learned about AI agents and more about APIs.

What's next for RecipAI

Finishing the front end

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