Inspiration
People have different interests in entertainment, food, travel, fashion, and culture. Businesses often struggle to understand these preferences and provide meaningful recommendations.
KOD3Y Taste Intelligence was conceived to help solve this problem through AI-powered cultural intelligence.
What we're building
KOD3Y Taste Intelligence is a proposed AI recommendation agent designed to combine Qloo's cultural intelligence API with conversational AI.
The goal is to help users discover relevant experiences and help businesses better understand audience interests.
Planned features
- Personalized recommendations based on user interests.
- Cultural and lifestyle preference analysis.
- AI-powered explanations of recommendations.
- An interactive dashboard.
- Audience insights for businesses.
How we plan to build it
We intend to develop a web application with a Python backend, integrate the Qloo API, and use an AI model to generate understandable recommendations.
Challenges
Our main technical challenges will be integrating Qloo's API, handling incomplete preference data, producing relevant recommendations, and protecting user privacy.
What we're learning
This project is an opportunity to develop practical skills in API integration, AI agents, application development, and responsible AI design.
What's next
Our next milestones are building the application, connecting the Qloo API, testing its recommendations, deploying a working demo, and documenting the results.
Built With
- css
- fastapi
- html
- javascript
- python
- qloo
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