Automate Nutrition Analysis with AI and Blooio.com
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Seamlessly integrate AI-powered nutrition analysis into your communication workflows. This n8n setup automatically processes incoming messages, analyzes food images, and sends back detailed nutritional information via SMS or email.
About This Workflow
This n8n workflow revolutionizes how you handle communication and information retrieval, specifically for nutrition analysis. It leverages the Blooio.com API for sending and receiving messages and integrates a powerful AI agent for intelligent analysis. When a message with an image is received, the workflow extracts relevant data, sends it to an AI model (like OpenAI's GPT-4.1 Mini) with a detailed prompt for nutrition estimation, and then uses the Blooio.com API to send the detailed nutrition report back to the sender. This creates an end-to-end automated system for users to get instant nutritional insights from food images.
Key Features
- Automated Nutrition Analysis: Get instant, AI-driven nutritional breakdowns of food images.
- Bi-directional Communication: Send and receive messages and reports via SMS or email using Blooio.com.
- Advanced AI Prompting: Utilizes a sophisticated AI prompt to ensure detailed and context-aware nutrition analysis.
- Data Persistence: Leverages PostgreSQL for chat memory to maintain conversation context.
- Flexible Configuration: Easily adaptable for various messaging and analysis needs.
How To Use
- Set up Blooio.com Credentials: Configure your Blooio.com API token within n8n. Ensure your Blooio account is set up to receive incoming messages and trigger webhooks.
- Configure the "Receive Message (From Blooio)" Node: Set this node to receive incoming messages and parse the JSON payload, especially extracting image URLs from attachments.
- Connect to the AI Agent Node: Link the output of the "Receive Message (From Blooio)" node to the "AI Agent" node. Ensure the image URL is correctly passed into the
textparameter for the AI to process. - Set up the AI Model: Configure the "OpenAI Chat Model" or your preferred LLM node. Ensure the
systemMessageis tailored for nutrition analysis, including instructions for identification, portion estimation, nutrient calculation, and confidence/health scoring. - Configure Chat Memory (Optional but Recommended): Set up the "Postgres Chat Memory" node to store conversation history and context, linking it to the AI Agent.
- Configure the "Send Message" (HTTP Request) Node: Connect the output of the AI Agent to this node. Set the URL to
https://api.blooio.com/send-message. Configure thebodyParametersto send the AI's analyzed nutrition report back to the original sender's identifier. - Add Headers and Authentication: Ensure the "Send Message" node has the correct
AcceptandAuthorizationheaders (using your Blooio Bearer Token). - Test the Workflow: Send a message with a food image to your Blooio.com number or email to initiate the automation and verify the nutrition report is received.
Apps Used
Workflow JSON
{
"id": "8accf24c-fbb7-47b6-b03e-1eaec96870a6",
"name": "Automate Nutrition Analysis with AI and Blooio.com",
"nodes": 17,
"category": "DevOps",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 8accf24c-fbb7...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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