Published Paper Details:

The main aim of this research is to assess how the integration of AI in IoT applications is significant to the technological and business. The rapid and widespread deployment of IoT gadgets has given birth to a brand-new era of data creation and processing, that brings with it a set of opportunities as well as hurdles. To fully exploit the potential of the Internet of Things (IoT), intelligent, real-time handling of data at the network's edge is increasingly becoming necessary. This article investigates the design and establishment of edge computing solutions enabled by AI that are built to cope with the demands posed by smart IoT apps [1]. This analysis revolves around integrating artificial intelligence techniques into edge gadgets allowing for real-time data analysis, decision-making along better use of resources. This revolves around discussing key elements within our AI-fueled framework encompassing edge devices, and AI algorithms alongside communication protocols [1]. Moreover, we bring forth advantages tied to implementing AI technology at the network's edge like reduced latency rates and heightened security levels alongside enhanced privacy protection for IoT applications. To showcase practicality linked with our approach, we showcase study cases across various sectors that employ smart IoT systems such as urban development initiatives or healthcare projects.