Automation library · Chat assistants

WhatsApp dietitian AI chatbot workflow with Gemini

Started by an incoming WhatsApp message, and works across WhatsApp. It hands the judgement calls to Gemini. 9 steps, 1 branch: a working afternoon to understand properly.

MediumCalls a model: Gemini

9 stepsMedium: a working afternoon
1Branch: places the flow splits
0Loops or waits
1Service it connects to

The flow

Starts it 1Model 4Logic 1Service 3

The steps in the order they run, from what starts it.

  1. 1Google Gemini Chat ModelLm Chat Google GeminiModel
  2. 2Structured Output ParserOutput Parser StructuredModel
  3. 3WhatsApp Message ReceivedWhats App triggerStarts it
  4. 4Generate Response from Image and captionChain LlmModel
  5. 5Generate Response from textChain LlmModel
  6. 6Check if message contains imageSwitchLogic
  7. 7Send Response to clientWhats AppService
  8. 8Get whatsapp imageWhats AppService
  9. 9Download ImageHttp RequestService

How it's built

Starts on
An incoming WhatsApp message
Steps
9, with 1 branch
Size
Medium: a working afternoon
Connects to
WhatsApp
Model
Gemini

Questions

What does it need to run?

An n8n account, plus your own WhatsApp account, and a key for Gemini. You connect your own accounts after importing it; none are included.

What starts it?

It starts on an incoming WhatsApp message.

Does it use AI?

Yes. It calls Gemini. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Plan an afternoon. 9 steps is enough that you should read each one before running it.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

Before you run it

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 9 steps before you point it at anything that matters.