Abstract
The eSmart Home project aims to revolutionize sustainable living by integrating Artificial Intelligence (AI) and Internet of Things (IoT) technologies into solar-powered home automation systems. Using Arduino as the core microcontroller platform, the project focuses on enhancing energy management and optimizing solar power utilization. By leveraging real-time monitoring and automated control of electrical appliances, the system minimizes energy waste and lowers utility bills. Advanced AI algorithms enable predictive maintenance and adaptive energy allocation based on usage patterns, ensuring efficient operation and proactive problem-solving. Additionally, the eSmart Home project emphasizes user-friendliness, offering homeowners intuitive interfaces to interact with and control their smart home environment. The system includes various sensors for monitoring temperature, humidity, light, motion, current, and voltage, combined with actuators for appliance control. Communication modules facilitate seamless connectivity, while AI modules process data for intelligent decision-making. By integrating these technologies, the eSmart Home not only enhances energy efficiency but also provides a scalable and adaptive solution for modern smart homes.
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