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URL: https://n8n.io/workflows/10211-food-photo-analysis-to-restaurant-and-book-recommendations-with-gpt-vision-and-google-apis/

⇱ Food Photo Analysis to Restaurant & Book Recommendations with GPT Vision and Google APIs | n8n workflow template

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Food Photo Analysis to Restaurant & Book Recommendations with GPT Vision and Google APIs

Last update

Last update 4 months ago

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AI Recommender: From Food Photo to Restaurant and Book (Google Books Integrated)

What it does

Analyzes a food photo with an AI vision model to extract dish name + category

Searches nearby restaurants with Google Places and selects the single best (rating → reviews tie-break)

Finds a matching book via Google Books and posts a tidy summary to Slack

Who it’s for

Foodies, bloggers, and teams who want a plug-and-play flow that turns a single food photo into a dining pick + themed reading.

How it works

Google Drive Trigger detects a new photo

Dish Classifier (Vision LLM) → JSON (dish_name, category, basic macros)

Search Google Places near your origin; Select Best Place (AI)

Recommend Book (AI) → Search Google Books → format details

Post to Slack (JP/EN both possible)

Requirements

Google Drive / Google Places / Google Books credentials, LLM access (OpenRouter/OpenAI), Slack OAuth.

Customize

Edit origin/radius in Set Origin & Radius, tweak category→keyword mapping in Normalize Classification, adjust Slack channel & message in Post to Slack.