As the modern workplace grows in complexity, coronary heart disease and stroke — conditions often exacerbated by traditional periodic health assessments are becoming insufficient late - stage diagnosis. While clinical interventions exist, there is a for mitigating real - time health risks. This study presents the critical need for proactive health monitoring to identify early Employee Vital Signs Automatic Monitoring System (EVAMS), physiological warning signs before they escalate into lif e - threatening an innovative Internet o f Things (IoT) solution designed for the events. continuous, real - time acquisition and intelligent assessment of critical physiological data. By integrating specialized biometric Existing research has frequently explored the use of sensors with Radio Frequency Identification (RFID) technology, wearable devices for vital sign monitoring; however, many studies the system ensures sea mless data attribution to individual focus primarily on patients already diagnosed with chronic ailments or employees. The hardware architecture utilizes high - precision those undergoing active medical treatment. Such reactive approache s sensors to monitor heart rate, peripheral oxygen saturation often miss the window for early prevention. This study addresses this (SpO 2 ), body temperature, electrocardiogram (ECG) waveforms, gap by proposing the Employee Vital Signs Automatic Monitoring and blood pressure. These components interface with a System (EVAMS). Unlike traditional systems, EVAMS is designed microcontroller that facilitates secure wireless transmission to a for the active workforce, aiming to maintain productivity a nd prevent centralized cloud database for longitudinal tracking. To the onset of serious diseases through continuous surveillance of heart transform raw data int o actionable insights, EVAMS employs a rate, SpO_2, and blood pressure using integrated sensors like the rule - based expert system that evaluates real - time metr ics against MAX30102, AD8232, and SEN0213 [3], [5], [6]. By transitioning established clinical thresholds. When anomalies are detected, the from episodic check - ups to continuous workplac e monitoring, this system generates automated alerts, allowing authorized medical research explores the potential of IoT technology to foster a healthier, personnel to perform immediate interventions via a real - time more resilient workforce. dashboard. The implementation of EVAMS represents a pr oactive shift in occupational health, enabling the early detection of II. LITERATURE REVIEW cardiovascular stress and respiratory issues. This research demonstrates that the synergy of IoT and expert systems provides a scalable, cost - effective framework for enhancing workplace A. Evolution of IoT and Microcontroller Platforms safety, reducing medical emergencies, and fostering a culture of preventive care and data - driven health management. The democratization of embedded systems, specifically the Arduino platform, has significantly lowered the barrier to entry for