AI Gourmet Navigator

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Table of Contents

About The Project

Team members

Built With

Getting Started

Main Features

How we organize restaurant data

Database Diagram

About The Project

AI Gourmet Navigator is a web application designed to allow users to search for restaurants in Vancouver, based on their current mood.
It provides a user-friendly interface for browsing, searching, and adding favorites.

Team Members

Yuko Murayama Frontend Developer

Yuki Kasugai Frontend Developer

Built With

• Frontend: Nextjs14, Typescript, Tailwind CSS, shadcn/ui, Storybook, Chromatic
• Backend: PostgreSQL, Prisma, Pinecorn
• Deployment: Neon
• Third-party: Cohere, Google Places API

Main Features

1. Using LLM (Cohere API) for Making Summaries and Converting Embed Data

• Make restaurant summaries using the Cohere API.
• Convert user preferences into embed data using the Cohere API.

2. Using Embed Data for Similarity Search

• Store the embed data in the Pinecone database.
• Use the embed data to find similar vectors in Pinecone.

3. Using Google Map API to Retrieve and Display Real Restaurant Data

• Fetch real restaurant data from the Google Map API.

How we organize restaurant data

Database Diagram