An IoT Approach Enhanced with AI Capabilities for Predictive Neurology in Smart Homes

The integration of Artificial Intelligence (AI) and Internet of Things (IoT) offers remarkable chances for improving healthcare in smart home environments. In order to anticipate and observe neurological disorders, the study explores the use of IoT devices along with AI analytics. The goal is to identify early signs of any decline in cognitive functions or neurodegenerative conditions such as Alzheimer’s or Parkinson’s. The research emphasises on examining a framework for predictive neurology while it faces challenges associated with real-time data processing and prediction precision. The outcomes should result in a smart home ecosystem development that focuses on healthcare interventions and enhances life quality. This paper explores a multi-layered architecture, including an exploratory phase to analyse user needs, a developmental phase to design and integrate IoT devices, Machine Learning algorithms, and cloud architectures, as well as a validation phase to undergo rigorous testing in simulated environments to evaluate performance metrics.