AI health chatbot via WhatsApp for symptom and medical

This automation enables clinics and private practitioners to handle initial patient inquiries through WhatsApp using AI. Based on text descriptions or medical images (e.g., rashes, wounds), the bot generates preliminary recommendations, reducing doctor workload and accelerating response times.

## Who it´s for
- Medical clinics automating primary patient intake
- Telehealth services using WhatsApp as a communication channel
- Low-code healthcare chatbot developers
- Private doctors conducting consultations via messengers

## What the automation does
- Receives incoming messages from WhatsApp
- Detects presence of images and downloads them if needed
- Routes text and/or image with caption to a LangChain chain powered by Google Gemini
- Generates medical recommendations or responses based on analysis
- Sends replies back to the user via WhatsApp
- Supports both textual symptoms and visual analysis

## What´s included
- Ready-to-use n8n workflow
- Trigger and handler logic (incoming message)
- Integrations with WhatsApp and Google Gemini API
- Basic setup and adaptation guide

## Requirements for setup
- n8n account (cloud or self-hosted)
- Access to WhatsApp Business API (via Twilio, Meta, or another provider)
- Google Gemini API key
- Basic understanding of HTTP requests and variables in n8n

## Benefits and outcomes
- Reduced doctor workload through automated triage
- 24/7 fast responses to patients
- Ability to scale initial diagnostics without hiring extra staff
- Support for complex cases — image + text analysis
- Simplified integration of AI into existing practice

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via в чате.