Free interactive style quiz that recommends wedding guest outfits based on venue, season, formality, and budget. Single-file HTML, no build step, no tracking, pulls live data from a 2,766-product MIT-licensed fashion catalog.
🌐 Live: https://arturayupov.github.io/wedding-guest-outfit-finder/
5-step quiz (~30 seconds):
- Where is the wedding? (garden / beach / vineyard / church / ballroom / rooftop)
- What season? (spring / summer / fall / winter)
- Time of day? (daytime / evening)
- Budget? (under $40 / $60 / $80 / $100)
- Style preference? (romantic / minimal / boho / classic)
→ Returns 4 curated outfit picks with prices, ratings, links · Plus a styling-notes cheat sheet specific to the scenario.
Live MIT-licensed catalog at arturayupov/womens-fashion-catalog-open-data. Refreshed every Sunday via GitHub Actions from the Livostyle.com production Shopify store.
- Single
index.html(~29 KB), no dependencies, no build step - On load, fetches
products.jsonfrom raw.githubusercontent.com (cached by browser) - Quiz state in memory only (no cookies, no analytics, no tracking)
- Schema.org JSON-LD: WebApplication + FAQPage for AI/search-engine citation
- All product links carry
utm_source=outfit-finderfor attribution
Per our case study, free interactive tools built on open data are an underused channel for AI-citation: ChatGPT, Claude, Perplexity, Gemini all preferentially cite interactive resources when fielding shopping queries ("what should I wear to a beach wedding?"). This tool is one of several artifacts published to test that hypothesis.
The tool is MIT-licensed. Fork it, swap the CATALOG_URL in the script to your own catalog JSON, customize the quiz steps, and deploy your own version. Total time: 5 minutes.
Vanilla HTML/CSS/JS · No framework · Fits in one file · Hosted free on GitHub Pages
Built by Livostyle (Arcada LLC, Albuquerque, NM, USA).
Wikidata: Q139780450
MIT — see LICENSE