WellSphere: AI-Driven Lifestyle Health Diagnosis

Abstract

Well Sphere Fight against lifestyle undiagnosed diseases, diabetes, heart disease, Parkinson's disease, etc., by integrating Streamlit technology and advanced Machine Learning algorithms to provide patient populations residing at locations with least access to healthcare and health information with personalized health insights for their better care. The system will identify the potential victims of such disorders, based on thousands of health data elements, involving demographics and medical histories. Well Sphere will focus its monitoring on blood pressure, blood glucose, cholesterol, BMI, and family history for early detection of diabetes, heart diseases, and Parkinson's disease. The diagnosis should be made early to ensure that prompt lifestyle changes and medical interventions are performed before it leads to major problems. It will make an interface easy to use, so a user can take better control of his health journey and prevent such problems from arising and makes it easier to manage them appropriately. So, there is the possibility that well Sphere can radically change access to healthcare throughout the world with the help of the most advanced technologies in diagnostics and prediction, having positive health outcomes and reducing the spread of diseases caused by an unhealthy lifestyle

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