🌟 About the Project
This project was inspired by the challenge of launching a new lifestyle brand in a crowded market. We wanted to create a data-driven marketing assistant powered by Qloo’s Taste AI, which uses behavioral intelligence to help brands identify:
- Who their core competitors are
- Where their target audience is concentrated geographically
- Which demographic segments (age/gender) are most engaged
- Which influencers and platforms best align with their brand identity
Our goal was to build both a console-based script and an interactive Streamlit interface, so that both technical and non‑technical users can run actionable campaigns with confidence.
🌱 What Inspired Us
- The concept of behavioral insights: Discovering real preferences (via Qloo) is much more powerful than traditional demographics.
- Seeing marketing decisions made by gut feeling—and wanting to bring them more into the 1% of AI‑driven precision.
- A fascination with translating cultural taste and data into real strategic outputs for small brands.
Streamlit web app with clean form input and visual output (cards, tables)
⚠️ Challenges We Faced
- Missing IDs in
/searchoutput: required fallback handling and filtering valid results before selection.
- Ambiguous name searches: searching "Nike" or "Jordan" may return multiple possible entities—so we added interactive selection logic.
Built With
- gemini
- qloo
- streamlit
Log in or sign up for Devpost to join the conversation.