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The use of contactless face masks and body temperature monitoring are indeed effective measures in preventing many infectious diseases like COVID-19. Combining these measures with Internet of Things (IoT) technology and machine learning can enhance their effectiveness and provide a reliable method for maintaining a healthy environment in public places. Smart door based on IoT for monitoring face masks and body temperature without touching; which can be implemented in various settings such as shopping malls, hotels, apartment entrances, and other public spaces. The proper management and maintenance of patient data are essential for the technological improvement of hospitals and healthcare facilities. However, sending huge data, like medical data, through traditional IoT protocols like MQTT, MLLP, and CoAP can be challenging and time-consuming. Moreover, these protocols are more suitable for transferring text-based patient information rather than handling complex image data like body images, ultrasound, or CT scans. Our proposed framework includes a Face Mask Detection algorithm that can analyze video or image input to identify whether individuals are wearing face masks or not. Additionally, the system monitors the body temperature of individuals using different contactless temperature sensor. Abnormal human body temperature readings can trigger alerts or preventive actions to mitigate the potential spread of infectious disease. The implementation of the Arduino Uno R3 as a processing unit for HL7 messages received from medical devices, specifically an OV7670 camera module, is an innovative approach. By …