Enhancing of system: Monitoring with Generative type AI with IoT support

A HealthGen-IoT, a novelty system combining of generative based AI and Internet supporting Things (IoT) technologies to personalizes having a healthcare monitoring. It utilized various IoT sensory circuits to continuous gathering of real-time physiologically types of data like heart beat rate, Human blood pressure, human blood sugar levels, and to the physical activity parameters from patients. This datasets will then get transmitted to a centralised cloud platform where generative based AI processing it to generates an individual-specific health insights and predictive analytics. The Patient demographical datas, lifestyle factors, genetic based information, and its environmental conditions get merged to improved the accuracy level of this type of predictions. The AI component leveraged advanced machined learning techniques by including deep learning models, to identifying of data patterns and anomaly on the data. This will allows for early time detection of potential health problems and to have a personalized recommendations for making of any preventive measures. The defined system's effectiveness is get validated through clinically trials, for measuring factors like prediction accuracy rate , patients adherence, and to overall health outcomes. By Ultimately, HealthGen-IoT will aims to make a revolutionize healthcare system by providing a proactive, tailored interventions that could improve patient quality of life and to reduce healthcare costs.