Over the past week, we established the backend structure and the webapp’s management interface. The system employs a SQLite database on the IST Sigma server to store biometric, environmental, and accelerometry data. We developed Python (CGI) scripts that act as an API: although the wearable offloads data via USB-C to a computer, the latter uses the HTTP protocol to securely synchronize the information with the remote server. The application now supports multi-user management, providing parameter averages and an alert notification system. Additionally, we implemented calendar-based management, allowing access to the detailed history of any work shift through a dynamic Chart.js dashboard.
