The rapid advancement of the Internet of Things (IoT), Artificial Intelligence (AI), and Embedded Systems has transformed conventional homes into intelligent living environments. Home automation systems enable users to control household appliances, lighting, security devices, and environmental controls remotely. However, traditional control methods often require technical knowledge and complex interfaces. Natural Language Interfaces (NLIs) provide a human-friendly solution by allowing users to interact with embedded home automation systems using spoken or written commands in natural language. This research presents a Natural Language Interface integrated with an embedded home automation system that enables users to control smart devices through voice commands. The proposed system utilizes Natural Language Processing (NLP), speech recognition, and microcontroller-based embedded hardware to interpret user intentions and execute corresponding actions. The architecture includes speech acquisition, language understanding, command processing, and device control modules. Experimental analysis demonstrates high command recognition accuracy, reduced response time, and improved user experience compared to traditional interfaces. The study highlights the potential of natural language-based control systems in enhancing accessibility, convenience, and usability for smart home environments.
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