AI for Hardware An Intelligent Framework for Smart IoT Device Development and Deployment

The Internet of Things (IoT) has become a major part of modern technology, enabling smart communication between devices across domains such as home automation, healthcare, agriculture, industrial systems, and environmental monitoring. Despite its rapid growth, IoT development remains technically demanding, often requiring knowledge of embedded programming, hardware configuration, software integration, and deployment processes. These challenges can make IoT development difficult for beginners and time-intensive for experienced developers. This research presents an intelligent AI-assisted framework designed to simplify the IoT development process by introducing automation and intelligent assistance into device development workflows. The framework explores how Artificial Intelligence (AI) and modern Large Language Models (LLMs) can support developers by improving code assistance, simplifying development tasks, assisting with compatibility analysis, and streamlining deployment-related activities. Unlike conventional development tools that focus mainly on manual coding and configuration, the proposed approach aims to reduce repetitive effort and improve accessibility for users with varying technical backgrounds. The framework conceptually combines AI-assisted automation with embedded development practices to create a more efficient and user-friendly IoT development environment. The study highlights the growing role of intelligent automation in embedded systems and demonstrates the potential of AI-assisted approaches in making IoT development faster, more accessible, and more adaptable to future technological needs.