Create personalized diet plans from health reports with Ollama AI and email automation

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

This n8n workflow transforms uploaded health details or lab reports received via email into a customized diet plan using AI analysis, then sends the plan back to the user via email, optimizing nutr...

Best for

Document Extraction automation workflows
Multimodal AI automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.emailreadimap, @n8n/n8n-nodes-langchain.chainllm, @n8n/n8n-nodes-langchain.lmollama, n8n-nodes-base.wait, n8n-nodes-base.emailsend, n8n-nodes-base.stickynote

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Oneclick AI Squad.

Original n8n.io source

1.1 Workflow description

Title: Create personalized diet plans from health reports with Ollama AI and email automation
Workflow name: Create personalized diet plans from health reports with Ollama AI and email automation

Why Use It

This workflow automates the creation of personalized diet plans from health data, saving time for nutritionists, improving patient outcomes with AI-driven insights, and providing a convenient email delivery system for users.

How to Import It

Download the Workflow JSON: Obtain the workflow file from the n8n template or create it based on this document.
Import into n8n: In your n8n instance, go to "Workflows," click the three dots, select "Import from File," and upload the JSON.
Configure Credentials: Set up email (e.g., IMAP for receiving, SMTP for sending), AI model, and optional Google Sheets credentials in n8n.
Run the Workflow: Test with a sample email containing health data and verify the diet plan delivery.

System Architecture

Data Input Pipeline:
- Email Trigger: Initiates the workflow when a health report email is received.
- Extract Health Data: Parses uploaded health details or lab reports from the email.
AI Analysis Flow:
- Send to AI Model: Analyzes health data using an AI model.
- Generate Diet Plan: Creates a customized diet plan based on AI output.
Delivery Flow:
- Prepare Email Content: Formats the diet plan for email delivery.
- Send Diet Plan Email: Sends the plan to the user via SMTP.
- Update Log (Optional): Logs the process in a Google Sheet.

Google Sheet Structure

Columns:
- timestamp: Date and time of the diet plan generation.
- user_email: User’s email address for receiving the plan.
- health_data: Extracted health metrics or lab report summary.
- condition: AI-identified health condition.
- diet_plan: Generated diet plan summary.
- sent_status: Status of email delivery (e.g., Sent, Failed).

Customization

Add SMS Alerts: Integrate Twilio or WhatsApp for additional notifications.
Enhance AI: Train the AI model with more nutritional data for better plans.
Include Recipes: Add a node to suggest recipes based on the diet plan.
Multilingual Support: Adapt email content for different languages.
Integration with Apps: Connect to fitness apps (e.g., MyFitnessPal) for tracking.

Requirements

Email Service: IMAP (e.g., Gmail) for receiving health data emails and SMTP for sending diet plans.
AI Model: Ollama or similar for health analysis and diet plan generation (requires API access).
n8n Instance: With email (IMAP/SMTP) and AI connectors configured.
Internet Connection: To access email and AI APIs.
Optional Google Sheets Account: For logging health data and diet plans.
User Consent: Ensure compliance with data privacy laws (e.g., HIPAA) for health data.

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1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Receive Health Report Email

Type / Role: n8n-nodes-base.emailReadImap - emailReadImap
Config choices: Version 2

Block 2 - Process Report with AI Nutrition Engine

Type / Role: @n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices: Version 1.7

Block 3 - AI Nutrition Model

Type / Role: @n8n/n8n-nodes-langchain.lmOllama - lmOllama
Config choices: Version 1

Block 4 - Wait Before Sending Plan

Type / Role: n8n-nodes-base.wait - wait
Config choices: Version 1.1

Block 5 - Send Personalized Diet Plan

Type / Role: n8n-nodes-base.emailSend - emailSend
Config choices: Version 1

Block 6 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	Create personalized diet plans from health reports with Ollama AI and email automation
Complexity	intermediate
Nodes	6
Categories	Document Extraction, Multimodal AI
Author	Oneclick AI Squad
Published	08 Aug 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/7181/7181.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Document Extraction workflows Multimodal AI workflows

Frequently asked questions

What does Create personalized diet plans from health reports with Ollama AI and email automation do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Document Extraction, Multimodal AI use case.

Oneclick AI Squad

224 workflows

Nodes

n8n-nodes-base.emailreadimap @n8n/n8n-nodes-langchain.chainllm @n8n/n8n-nodes-langchain.lmollama n8n-nodes-base.wait n8n-nodes-base.emailsend n8n-nodes-base.stickynote

Complexity

intermediate

Published 08 Aug 2025

Likes 0

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Install path: /data/workflows/7181/7181.json

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Create personalized diet plans from health reports with Ollama AI and email automation

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Why Use It

How to Import It

System Architecture

Google Sheet Structure

Customization

Requirements

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Receive Health Report Email

Block 2 - Process Report with AI Nutrition Engine

Block 3 - AI Nutrition Model

Block 4 - Wait Before Sending Plan

Block 5 - Send Personalized Diet Plan

Block 6 - Sticky Note

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions