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