Integrating IoT and AI Technologies in Engineering Education: A Smart Home Control Case Study

In the rapidly evolving landscape of engineering education, bridging the gap between emerging technologies and practical applications is critical to shaping future professionals. This paper presents a comprehensive case study on integrating Internet of Things (IoT), machine learning, and advanced control mechanisms into smart home systems, as part of an innovative educational project. The study emphasizes the development and implementation of a 3D-printed smart home model controlled via hand gestures, voice commands, and manual inputs, proving a hands-on approach to combining theoretical knowledge with real-world applications.Through this project, students gain exposure to innovative technologies such as neural networks, gesture recognition algorithms, and voice command processing, offering insights into their practical deployment in IoT ecosystems. The method underscores the importance of interdisciplinary learning by merging concepts from electrical engineering, artificial intelligence, and software development.This initiative highlights the transformative impact of incorporating smart home technologies into engineering education, fostering an environment where students can bridge theory and application. By engaging in emerging fields such as IoT and artificial intelligence, learners develop skills essential for addressing modern engineering challenges. Additionally, the project serves as a platform for exploring the intersection of accessibility, automation, and sustainability, aligning education with real-world technological demands. The results underline the importance of integrating user-centric design principles in engineering curricula, preparing students to innovate and lead in a rapidly evolving technological landscape.