AI-Powered Health Monitoring and Predictive Insights Platform Using Data Analytics and Machine Learning

The rapid advancement of digital healthcare technologies has enabled continuous monitoring of patient health using smart devices and data analytics. However, analyzing large volumes of health data manually is inefficient and may lead to delayed diagnosis and treatment. This research presents an AI-Powered Health Monitoring and Predictive Insights Platform that utilizes data analytics and machine learning techniques to monitor patient health conditions and predict potential health risks. The proposed system collects health parameters such as heart rate, blood pressure, and activity data from digital sources and processes them using machine learning algorithms. Predictive models analyze historical and real-time health data to detect abnormal patterns and provide early warnings for possible health issues. The platform integrates data visualization dashboards for better understanding of patient health trends. Experimental analysis demonstrates that the system improves early detection of health risks, assists healthcare professionals in decision-making, and enhances preventive healthcare management