Environmental Health Info Automation Workflow

This n8n workflow automates the collection and analysis of local air quality and pollen data to provide personalized environmental health advice via email. It starts with a scheduled trigger that initiates the process, fetching air quality and pollen data for a specified location through HTTP requests to the Ambee API. The workflow then uses an AI-powered agent with OpenAI’s GPT-4 to summarize environmental conditions and generate caring, user-specific suggestions. These insights are formatted into a friendly message, which is automatically sent via Gmail. Additionally, helpful sticky notes guide the user on setting API keys, location coordinates, and user profile data, making the automation easy to set up and customize for specific locations and sensitivities. This workflow is practical for health-conscious individuals, environmental bloggers, or wellness apps seeking to inform users about current environmental conditions and health tips in real-time.