This project suggests using automated methods to stop the virus from spreading. The goal of this project is to create a portable, precise, and economical device for tracking and monitoring a person's vital signs in order to find early indications of Covid- 19 infections. The system makes use of an Internet of Things (IoT) device that looks like an ID card and is furnished with a number of sensors, including a pulse sensor, blood pressure sensor, temperature sensor, and sound sensor. These sensors gather and process data, which is subsequently sent to an analytical server in the center. Also, the device features a mixed reality QR code that can be scanned to accurately and automatically check for Covid-19 infections. In a number of locations, including hospitals, airports, schools, and other public venues, the gadget can be utilized to check people for infections with Covid-19. The information gathered can be utilized to identify possible epidemics, facilitate successful contact tracing, and support quarantine procedures. By offering a dependable and precise method for monitoring and managing Covid-19 infections, the research also intends to increase public health and safety. Microcontrollers, sensors, and a central server were among the hardware and software elements that had to be integrated into the construction of the IoT device. To get reliable findings, the device's data is processed and analyzed utilizing cutting-edge machine learning techniques. Because the data is encrypted and stored safely on the server, the technology also guarantees the confidentiality and security of the information gathered. In conclusion, our initiative seeks to offer a workable and efficient way to monitor and manage Covid-19 infections. employing IoT hardware. The device is affordable, transportable, and dependable, which makes it an important weapon in the fight against the epidemic. The method has the potential to be used more widely and to slow the spread of Covid-19 worldwide with more testing and improvement.