Personal Health Tracker for Measuring Gas Produced by Gut Microbiota

A method for assessing gastrointestinal health using a passive toilet-mounted device, the method comprising:

• passively collecting air samples containing gases released during a bowel movement via a gas sensor array positioned atop a toilet tank;
• generating a multidimensional digital gas fingerprint using a neural-network-enabled gas sensor;
• collecting contextual data including time, temperature, humidity, acoustic profile, motion, and wireless proximity;
• associating collected data with a specific user using a trained identification model;
• receiving symptom classification data from the user via a structured diagnostic survey aligned with a standardized clinical framework;
• labeling bowel movement data with the corresponding symptom classification to create a supervised training dataset;
• training or refining a machine learning model to detect gastrointestinal symptom patterns based on labeled gas fingerprint data;
• generating a proprietary gut health score based on gas and contextual signals;
• presenting the gut health score and trend visualizations in a user-facing mobile application;
• and
• generating behavioral guidance using a chatbot trained in cognitive behavioral therapy methods to help the user achieve health goals.