This feature would automatically integrate real-time environmental (based on location) and space weather data (that is known to significantly effect health), including barometric pressure, temperature, solar flares, humidity, air quality, UV index, and geomagnetic activity (K-index), etc and synchronize it with user symptom tracking.

By overlaying this data on 24 hour symptom timelines, users can identify correlations between atmospheric conditions and health fluctuations, supporting better self-management and clinical insight.