Wearables collect and analyze health-related data through embedded sensors that monitor metrics such as heart rate, activity levels, and sleep patterns. These devices, ranging from smartwatches to fitness trackers, gather data in real-time and often sync it to mobile applications for further analysis. Machine learning algorithms process this data to identify patterns and provide personalized insights. Users can track their health metrics and make informed lifestyle choices, promoting better overall wellness and preventive healthcare.