REMOTE EMPLOYEE ANXIETY MONITORING AND CARE PREDICTION USING IOT TECHNOLOGY

Abstract

The danger of stress-related health problems among online workers has increased in the era of digital workspaces due to extended display time and sedentary lifestyles. This project suggests an Internet of Things (IOT)-based system that allows for the real-time monitoring of critical health metrics, like body temperature and heart rate, in order to gauge stress levels and anticipate care requirements. The system uses a NodeMCU module that is integrated with a buzzer, LCD display, Dallas temperature sensor, and heartbeat sensor to collect and analyze data in order to promote preventive healthcare and offer timely alarms. By enabling remote tracking, the IOT technology guarantees early intervention and improved worker health management. By keeping users aware of their bodily conditions and assisting them in staying informed while working continuously, this system improves both productivity and well-being.