Building a Local LLM-as-Judge Pipeline for Image Dataset Curation

I run a travel app that needs a real photo for every place it recommends. Most of those photos are searched automatically, but they are often wrong. Here is the system I built to fix them.

I’m building MonkeyEatingMango, a planner that writes day-by-day travel itineraries. It names real places, the kind you could pin on a map: Seville Cathedral with the Giralda beside it, the food stalls inside Mercado de San Telmo, the observation deck near the top of Menara KL. A place without a photo is not only bad UX for travel, it also wastes time on the critical path of latency.

The goal of this exercise was to have a curated database of places with their photos and other metadata. The itinerary pass gives me the place name, and I attach this data to show on the frontend. I chose a wiki as an image source...

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