# ljon

- **Event:** [RAISE Summit Hackathon](https://cerebralvalley.ai/e/raise-summit-hackathon)
- **When:** Jul 4 at 9:00 AM – Jul 5 at 7:00 PM (GMT+2)
- **Where:** Paris, France
- **Team:** [Lawrence Johny](https://cerebralvalley.ai/u/ljo)
- **GitHub:** https://github.com/ljo3/questr
- **Demo video:** https://www.youtube.com/watch?v=uDUnGJZMdKU
- **Gallery:** https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/19

What it is:
Questr is a static, zero-backend web application that turns any location on Earth into an interactive, gamified travel experience. Users drop a pin anywhere to immediately fetch real-time geographic metadata (weather, elevation, sun times), play hyper-localized landmark trivia, and build an AI-orchestrated travel journal.

The Problem It Solves:

    Friction-Heavy Travel Logging: Traditional travel tracking requires heavy databases, slow mobile app setups, and invasive tracking permissions. Questr delivers zero-friction exploration entirely on the static edge.

    Brittle AI Content Generation: Standard multi-modal workflows frequently produce poorly styled layouts, mismatched themes, or text clipping when building dynamic digital scrapbooks.

    The "Prompt Engineering Collapse" in UI: In most LLM pipelines, if a model misjudges a design or visual theme, the user gets an ugly, broken asset.

How We Solved It (The Cursor/Agentic Twist):
We built an autonomous Optimizer-Evaluator loop using OpenRouter vision models and a Python/Pillow rendering engine.

When a user drops 3–6 trip photos, our factory pipeline spins up. The Evaluator model sets a strict layout, color palette, and thematic success metric. The Optimizer generates candidate rendering permutations, which the Evaluator critiques and scores against the criteria until a flawless, beautifully balanced travel-journal collage is generated. We also engineered a Git-driven path: users can commit a template markdown file to GitHub, and a GitHub Actions workflow automatically emulates the reference layout to generate the journal entry completely offline.

The entire front end runs instantly on Cloudflare Pages, pulling zero-dependency open data, while the secure agentic engine runs smoothly in a lightweight, self-hosted container.

## More from RAISE Summit Hackathon

- [Bug Catchers](https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/16)
- [Tanush Shah](https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/17)
- [json](https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/18)
- [RDS](https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/20)
- [AURA Clinical Agent](https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/21)
- [Geanremona](https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/22)

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Markdown version of https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/19. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt