In recent years, due to the increasing incidence of diseases, the importance of health care has been increasingly recognized. Health issues have become important concerns, directly influencing individual quality of life. Neglect of health care management creates problems for the survival of an individual. Among the many applications supported by the Internet of Things (IoT), digital healthcare stands out as important. The Internet is a powerful way to integrate health care resources and improve overall quality of life. IoT has revolutionized the healthcare industry, providing doctors with an easier and faster way to access patient data to make informed decisions. These improvements significantly improve health care and patient outcomes. The development and deployment of IoT-based health monitoring systems depend on the integration of sensors and actuators. The system continuously monitors the patient’s essential signs using temperature and heart rate sensors, allowing doctors to remotely access this information from their computers and predict the future condition of the patient's health. Machine learning algorithms help us calculate the accuracy of future prediction. If there is anything abnormal about the patient’s condition, the system automatically sends an alert to the doctor via email. This instant feedback allows the physician to quickly diagnose and address any problems, and help save patient’s lives. The main goal of this paper is to provide the physician with timely updates on the patient’s health status, ensuring immediate intervention if any abnormal situations happen.