iMessage Food Photo Nutrition Analyzer with GPT-4 Vision & Memory
Automates nutritional analysis of food photos sent via iMessage using GPT-4 Vision, stores data in Postgres, and replies with detailed reports via Blooio.
This n8n workflow enables seamless nutritional analysis of user-submitted food photos received through iMessage. Triggered by a Blooio webhook, it validates and extracts images, processes them with OpenAI's GPT-4 Vision for accurate calorie and nutrient breakdowns, and stores results in a Postgres database for memory and historical tracking. A friendly, detailed report is then sent back directly in the chat.
Key benefits include hands-free meal logging, automated diet summaries for daily/weekly/monthly insights, and integration into messaging for effortless user experience. It saves time on manual food tracking, provides AI-powered estimates for better dietary awareness, and scales for apps in fitness, healthcare, or wellness.
Ideal use cases: Personal calorie trackers, virtual nutrition coaching via chat, food journaling in wellness apps, or sales tools for diet product demos. Note: Results are estimates; pair with professional advice. Requires Blooio API, OpenAI key, and Postgres setup.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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