AI Symptom Checker & Doctor Recommendations via Ollama & WhatsApp

This workflow enables an AI-powered symptom checker where users input symptoms through a form or chat interface. It processes the data, sends it to an Ollama AI model for analysis, identifies possible health conditions, retrieves relevant doctor information from a Google Sheet or API, and delivers personalized recommendations via WhatsApp or email.

Key benefits include enhancing healthcare accessibility by providing quick AI-driven insights, reducing the load on medical staff, empowering users with informed decisions, and streamlining appointment processes. It's ideal for clinics, telemedicine services, health apps, or community health initiatives seeking to automate patient triage and outreach.

Use cases span public health campaigns, private practices, or wellness communities on social platforms. The modular design allows easy customization, such as integrating additional databases or notification channels, making it scalable for high-volume symptom queries.

Setup is straightforward: import the JSON into n8n, configure credentials for webhooks, Ollama, WhatsApp, email, and doctor data sources, then activate for instant deployment.