Inspiration
We wanted to build a culturally intelligent travel assistant that goes beyond generic recommendations by understanding individual tastes. Inspired by the potential of AI to personalize travel, food, lifestyle, and business decisions, we created Q_NET AI.
What it does
Q_NET AI collects users’ favorite artists, movies, authors, and destinations to generate tailored recommendations for places, hotels, food, and lifestyle based on destination. It also visualizes a cultural profile, dream home, and offers market analysis using real-time interest data—all powered by Qloo API and Gemini LLM.
How we built it
We used React for the frontend interface and integrated the Qloo API to extract cultural data. Gemini LLM powers lifestyle and market reasoning. An inbuilt database stores user inputs and caching data for fast access. Map-based visualization and graph components support interaction and planning.
Challenges we ran into
- Limited data availability with Hackathon API in certain locations
- Aligning Qloo API data with LLM-generated insights
- Visualizing complex relationships in an intuitive and user-friendly way
- Tuning recommendations to feel personal and relevant across diverse users
Accomplishments that we're proud of
- Successfully integrated cultural data and generative AI for personalized outputs
- Built a seamless UI that combines maps, graphs, and dynamic content
- Enabled real-time planning tools for users to evaluate travel and market choices
- Created a unique link between lifestyle identity and geographic planning
What we learned
- How to work with external cultural intelligence APIs (Qloo)
- Effective use of LLMs for contextual lifestyle reasoning
- Challenges of spatial planning and market visualization on maps
- The importance of user-centered design in AI applications
What's next for Q_NET AI
- Integrating live hotel and restaurant booking APIs
- Enhancing market analysis with real-time demographic and trend data
- Offering a mobile-first version with voice interaction and local event recommendations
Built With
- database
- gemini-llm
- qloo-api
- react

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