IoT and AI-Based Smart Healthcare Monitoring System

The function of IOT-AI-based healthcare monitoring in a pandemic event is crucial. Even when a doctor is not present at the patient’s workplace, it helps in the prevention of disease transmission and the identification of diseases. In this study, a smart phone and an electronic wearable gadget are shown in a Wi-Fi connection. In an IOT-AI-based healthcare system, sensors are utilized to monitor physiological statistics of patient including heart rate, temperature, blood pressure, and oxygen saturation. In our proposed system, patient statistics is gathered and kept in a cloud server while health parameters are continually monitored. This is done over Wi-Fi at a remote location. GNN (Graph Neural Network)-based statistical analysis is carried out on patient statistics for monitoring health records. To track patient healthcare, sensors (or inputs) are linked to an ARDUINO Uno microcontroller, and the findings are recorded on a cloud server. If the patient encounters any irregularities, a smart phone alert will automatically send the patient’s location and a message to medical professionals.