CULTUREPULSE AI

Inspiration

AI can generate recommendations, but many recommendations feel generic because they overlook the cultural tastes that make people unique. We wanted to explore how cultural intelligence could make AI recommendations more relevant, personal, and meaningful.

What It Does

CULTUREPULSE AI is a cultural intelligence platform designed to connect AI-powered discovery with real-world taste signals. It focuses on cultural interests across areas such as music, film and TV, dining, fashion, and travel.

By integrating the Qloo API, the project aims to ground recommendations in cultural data rather than relying solely on generic language-model responses.

How We Built It

We built the application as a modern web experience using React, TypeScript, and Vite, with Supabase Edge Functions supporting server-side API integration. Qloo provides the cultural intelligence layer that differentiates the project from a generic AI recommendation interface.

Challenges We Faced

A key challenge was connecting a polished user experience to external API services while keeping sensitive credentials on the server side. We also focused on preparing a publicly accessible application and source repository to make the project easier to evaluate and reproduce.

What We Learned

This project reinforced an important lesson: useful AI is not just about generating convincing answers. It is about grounding those answers in relevant data and understanding the context behind people's preferences.

What's Next

We aim to continue improving recommendation relevance, expanding cultural discovery experiences, and validating the application with real users.

CULTUREPULSE AI — Real People. Real Tastes. Smarter Recommendations.

Built With

• html
• javascript
• qloo-api
• react
• rest-api
• supabase
• supabase-edge-functions
• tailwind-css
• typescript
• vite