Generative AI in Smart Homes: Implementation, Challenges, and Future Directions

The integration of generative artificial intelligence (AI) into smart home systems represents a paradigm shift in residential automation, enabling unprecedented levels of personalization, efficiency, and adaptive intelligence. This paper synthesizes recent advancements in generative models, privacy-preserving techniques, and multimodal architectures to present a comprehensive framework for deploying these technologies in smart homes. By addressing critical challenges such as data security, model robustness, and ethical compliance, the proposed solutions aim to bridge the gap between theoretical innovation and practical implementation.