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Abstract
This article examines the development of an artificial intelligence-based system for the early detection of carbon monoxide (CO) poisoning risk and public warning. Carbon monoxide is a colorless, odorless, and highly dangerous gas that causes the poisoning of thousands of people worldwide each year. During the study, a risk prediction model was developed using IoT sensors, artificial neural networks, and machine learning algorithms. The proposed system analyzes CO concentration in the air, temperature, humidity, and ventilation conditions, enabling early warnings before the risk of poisoning arises. The research findings demonstrate that artificial intelligence-based monitoring systems play a significant role in preventing emergencies and protecting human lives.
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