An IoT Device for Intelligent Healthcare Monitoring Based on Machine Learning

This research paper proposes an Internet of Things (IoT)-based Smart Healthcare Assistant that leverages mobile devices and a range of sensors to provide comprehensive and cost-effective healthcare monitoring. The system is capable of monitoring various body vitals, including temperature, pulse rate, blood oxygen level, Electrocardiogram (ECG), step count, and fall detection mechanisms. Unique features of the system include measuring the acetone level through human breath to detect a rise in diabetic levels and incorporating health recommendations with medicine. The proposed solution addresses the need for integrated, accessible, and cost-effective smart healthcare assistants that have the potential to revolutionize the healthcare industry by providing personalized and holistic care.