HerPattern Pocket

HerPattern Pocket: Your Body Has Patterns. Now It Has a Voice. What if your smartwatch could help you understand a difficult day before it happens? Millions of people living with endometriosis experience unpredictable pain, fatigue, sleep disturbances and changes in daily functioning. Existing health trackers collect information, but rarely help people understand how their symptoms, physiology and everyday experiences relate to each other. HerPattern Pocket is a personalized health intelligence companion designed to change that. For this project, I improved my existing Apple Watch application, expanding its capabilities for wearable data analysis, personalized anomaly detection and contextual health insights. Rather than creating another symptom diary, I wanted to build something that learns an individual's patterns and helps them understand their body. How it works HerPattern Pocket combines physiological signals from Apple Watch with self reported symptoms and personal health history. Lightweight AI analyzes changes in signals such as heart rate, heart rate variability and sleep, comparing them with an individual's baseline. Personalized forecasting models explore relationships between physiological changes, symptoms and everyday experiences. The companion is designed to make those insights accessible through natural language, helping users understand unusual patterns, prepare for potentially difficult days and communicate their experiences. What makes it different Every person's experience of endometriosis is different. HerPattern Pocket focuses on individual patterns rather than assuming that everyone follows the same cycle or experiences the same symptoms. The architecture combines efficient wearable intelligence with contextual AI reasoning, with an emphasis on privacy, interpretability and responsible handling of sensitive health information. The bigger vision I want to make personal health intelligence as accessible as checking the time. HerPattern Pocket is an early research prototype. It is not a diagnostic tool, and its predictions require further validation. Because understanding your body should not require a medical degree or a spreadsheet. No