Published Paper Details:

Proactive health monitoring and personalised data analysis are the goals of an Internet of Things (IoT) platform for wearable healthcare. Wearable sensor technology is used by the platform to integrate real-time physiological data with a secure and scalable Internet of Things infrastructure. We present the system architecture and describe its components for data acquisition, transmission, processing, and visualisation. This implementation paper describes how HTML, CSS, and JavaScript were used to develop the front end of a wearable healthcare IoT project. The front end functions as the user interface that allows users to enter and view health data gathered from wearable devices. The design decisions, implementation techniques, and difficulties faced during the development process are covered in this paper. The study explores the chosen data analysis algorithms in greater detail, emphasising aspects pertaining to the interpretation of health parameters and potential risk assessment. In addition, the platform's security aspects and user privacy safeguards are looked at. An easy-to-use smartphone app visualises data, provides personalised health recommendations, and creates potential avenues for interaction with healthcare professionals. This platform empowers users through enhanced chronic illness management, personalised insights, early problem detection, early warning systems (EWS), continuous health monitoring, and improved provider-user communication. This project uses wearable technology and IoT integration to promote personalised healthcare and proactive health management.