AUTOMATION OF IOT LABORATORY TASKS USING AI

The Internet of Things (IoT) represents an interdisciplinary approach encompassing electronics, programming, and network communication, placing high demands on assessing students' practical skills. This article analyzes existing tools used in IoT laboratories and identifies their limitations. We propose a solution that leverages artificial intelligence (AI) to automate the detection of hardware errors and software evaluation. AI models trained on image and programming data will enable efficient monitoring of component connections and code assessment. The expected outcomes include increased assessment accuracy, immediate feedback, and reduced instructor workload. Automating IoT laboratories thus brings significant advancements in the field of education.