Adaptive Generative AI for Elderly-Assisted Living Environments: A Proactive Approach

This paper presents an adaptive Generative Artificial Intelligence (GenAI) system which will be able to improve care standards for the elderly by personalizing the health monitoring and interventions. The GenAI system we had developed came to the rescue of the acute needs of the aging population as it was capable of the dynamic learning and adaptation to the user's individual requirements. The architecture of the system has a complex, multi-layered design that combines sensors, data processing units, and user interfaces together, therefore, it provides the care that fits the person and at the same time it will help to reduce the health emergencies. In the real-world, the reduction of the emergency incidents by 40 %, the high level of user satisfaction (85 %) and the decreasing stress level of the caregivers were the main results. The research shows the system's effectiveness in the improvement of the quality of life for the elderly and support of the caregivers by making their daily activities smooth and providing important health information. In the future, we plan to grow the GenAI system, improve its algorithms to achieve even higher levels of accuracy, and broaden the system's applications to other healthcare technologies. The future of elderly care can be changed by the technology of GenAI, so, it is the area where it is needed the most for research and application in healthcare technology.