Developer Tutorial: Build an AI Health Agent Using LangGraph and Oura Ring Data
A developer tutorial published on DEV Community outlines how to build a 'Digital Twin Health Agent' that connects wearable health data with calendar and shopping apps. The system uses LangGraph and LangChain to read recovery scores from the Oura Ring API and make automated decisions about daily workout schedules. If a user's readiness score falls below a set threshold, the agent can reschedule high-intensity workouts to rest or yoga sessions via Google Calendar. The agent can also detect potential nutrient deficiencies based on sleep quality and draft supplement orders automatically. The tutorial requires Python 3.10+, along with API access to Oura Cloud, Google Calendar, and an OpenAI-compatible language model.
This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)
Log in to join the discussion and vote.
Log in