GOAL: Global Omnichannel & Affinity Agent Lab

GOAL is an agentic Streamlit application powered by the Qloo Cultural Intelligence API, built for the Qloo Hackathon. GOAL proves that grounding AI agents in real cultural affinity data (250M+ entities across music, film, dining, travel, and more) enables practical, high-value workflows that generic LLM-only applications cannot replicate.

🚀 Key Workflows Included

1. Architectural Lighting & Aesthetic Mood Matcher: Translates client music and cinema preferences into precise Kelvin ratings, fixture designs, and custom ambient lighting specifications for electricians and interior designers.
2. Senior Adaptive Culinary & Dining Navigator: Cross-references nostalgic food preferences with crucial health constraints (chewing comfort, medication interactions, low-sodium/low-heat delivery).
3. Rare-Disease Journey Companion: Matches patient emotional states and energy levels with restorative low-cognitive ambient media and supportive micro-communities.
4. Qloo Taste Graph Explorer: Interactive explorer visualizing real-time cross-domain cultural correlations.

🛠️ Local Installation & Running

1. Clone the repository: ```bash git clone https://github.com/your-username/goal-qloo-agent.git cd goal-qloo-agent

Developed and Designed by AIMARKHORS Team: Engr. Bilal Mehmood, Engr. Aqsa Zehra

Built With

• github
• gitlab
• python
• qloo
• qlooapi
• streamlit