1. Multi-source Health Data Integration

The platform is compatible with various wearable devices, mobile terminals, and health applications, automatically collecting physiological indicators such as heart rate, blood pressure, blood glucose, sleep, as well as lifestyle habits like diet, exercise, and routines, forming a complete, traceable personal health record.

2. AI and Big Data Analysis Engine

Relying on big data modeling, machine learning, and intelligent prediction, the platform performs real-time analysis on individual and group health data, precisely identifying health trends, potential risks, and behavioral patterns, providing scientific support for personalized health management.

3. Comprehensive Health Assessment and Personalized Recommendations

The system regularly generates multi-dimensional health assessment reports, graphically presenting health status changes. Combined with user characteristics and historical data, it intelligently produces exclusive health advice and intervention plans to assist in continuous improvement.

4. Intelligent Intervention and Dynamic Tracking

According to health assessment results, the platform formulates personalized intervention plans for users, including diet, exercise, routines, and stress management. With APP push, email, SMS, and other multi-channel intelligent reminders, it enables goal management and behavioral motivation.