Technology plays a foremost role in healthcare, and the Internet of Things (IoT) has facilitated the development of smart health monitoring structures. It helps in reducing human intervention and aims to automatically identify the potential risks early on and promote user safety. The primary focus is on the detection of potential health risks and the predictive capabilities of machine learning (ML) models using sensors, with data transmitted to the required device over the Internet. The base paper concludes by emphasizing the importance of taking preventive measures to mitigate the impact of various health issues using a web-based interface. In this work, propose a method to achieve higher accuracy in detecting and preventing health risks by monitoring the lifestyle of a user. The study aims to expand a reliable and sensible user health monitoring system using mHealth technology. Our system aims to outperform existing systems, leading to improved individual healthcare. Overall, this initiative has the potential to enhance healthcare by continuously tracking the individual’s health status and sending alerts to the relevant system through digital health systems.