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Recently, I created a website that displays a map of restaurants featured by my favorite Japanese food YouTuber (who is mainly famous as a local TV personality). It's a public website primarily for personal use by my family and me, with minimal traffic.

As a fan, I was frustrated by the lack of a comprehensive list of featured restaurants, with watching all videos being the only way to find them. So I developed this website to see all locations on a map. I was surprised by how many restaurants were featured, so many pins on the map! Now, I'm enjoying trying out and planning visits to these places.

The biggest challenge was extracting restaurant information from the videos. Each video ends with a brief 3-second slide showing the restaurant's name and partial address. My solution converts videos to images, runs OCR, extracts text, uses an LLM to generate JSON data, and adds geolocation information. I set this up as a GitHub Action that regularly scrapes new videos and updates map markers automatically, all within the free tier.

It took me a few months to figure out the video information extraction and create the website using SvelteKit and MapLibre.




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