AI-Powered Cross-Domain Cultural Discovery

Inspiration

This project is an app that helps users find new things they might enjoy, including fashion, restaurants, travel destinations, music, and movies.

What it does

It functions by figuring out what you like and then making recommendations for additional items related to your preferences from various cultural backgrounds. For instance, the app may recommend eateries, tourist destinations, or clothing brands that suit your taste if you enjoy a particular genre of music or film. It understCross-Domain Cultural Discovery Driven by AIands your preferences using intelligent AI technology and relates them to practical suggestions.

The app is simple to use; simply enter your interests or likes, and it will provide you with tailored recommendations.

How we built it

To create the AI-Powered Cross-Domain Cultural Discovery project, begin by setting up a backend server with Node.js and Express. This backend will collect users’ descriptions of their tastes and preferences. It will then send that information to OpenAI’s GPT API to identify key cultural interests in areas like music, movies, travel, and fashion. Once the preferences are organized, the backend will use Qloo’s Taste AI API to create personalized recommendations based on those tastes.

For the frontend, build a React app where users can enter their interests in a simple text box and submit them to the backend. The app will then show the cultural recommendations returned by Qloo. After running tests to verify the recommendations are sensible, deploy the backend using platforms like Railway or Render and the frontend using Vercel. Ensure that API keys are stored securely as environment variables. This setup combines a language model with taste AI to provide users with an easy way to discover new cultural experiences that suit their individual preferences.