UofTaste

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  Our initial prototype designed with Figma.

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  Frontend of proposed chatbot by creating an HTTP endpoint that outputs a server-side rendered web page

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  Final prototype designed with Amplify and Figma

Inspiration

As students ourselves, often we find ourselves stuck on campus with no idea where to eat, especially when we have to stay on campus for clubs. Although we have access to a site that provides us with some of the options on campus, it doesn't give us all of the information we need to make an informed decision. Our application is intended to provide students with an easy way to find food within their budget that matches their dietary restrictions and their preferences.

What it does

The user is able to input their current preferences and dietary restrictions and our service will return information about the places on campus that match their criteria, along with information about the average prices at the location. There is also a chatbot that helps the user decide what to eat on campus depending on their input prompt.

How we built it

We used Lambda, Amplify, and Bedrock.

Challenges we ran into

• Understanding how to integrate the different components of our application
• For the chatbot component specifically, we were unable to integrate the frontend with Bedrock

Accomplishments that we're proud of

• Coming up with a unique idea

What we learned

• How different AWS services can interact with each other

What's next for UofTaste

• Implementing the connection between frontend and backend

Built With

• amazon-web-services