Today, the number of Internet of Things (IoT) devices is growing rapidly. These devices can measure different physical and biological variables that can be used for various purposes. Combining this large amount of data with a person’s life history and applying machine learning models can enable the early detection of pathologies or diseases. In this context, we propose a system that uses its technological capabilities to monitor people with mild cognitive impairment or dementia, integrating a remote, continuous, and non-intrusive monitoring platform. The clinical purpose is to detect early changes in daily routines, mobility patterns, or treatment adherence that may indicate the progression of impairment, and to provide support tools to caregivers and healthcare professionals for decision-making based on objective data.