In the era of rapid digital transformation, the integration of Artificial Intelligence (AI) and the Internet of Things (IoT) has become one of the most prominent modern technological trends, due to its effective role in developing biometric monitoring systems that rely on collecting and analyzing health data with high accuracy and efficiency. These systems operate by connecting smart sensors capable of measuring various vital indicators—such as heart rate, oxygen levels, and physical activity—to digital networks that enable real-time data transmission. Artificial intelligence plays a key role in analyzing these large volumes of data through machine learning and deep learning algorithms, enabling pattern extraction and accurate predictions that support fast and effective decision-making. This integration leads to the creation of intelligent systems capable of real-time responses, thereby enhancing diagnostic and monitoring efficiency across multiple fields. The applications of these systems are broad and impactful. In healthcare, they enable remote patient monitoring and reduce the need for frequent hospital visits. In the security sector, they improve the accuracy of identity recognition technologies using biometric measurements. In the educational environment, they open new horizons through the use of wearable devices to monitor students’ concentration and stress levels, allowing educators to adapt teaching methods according to individual learning needs. This technological advancement is directly linked to Sustainable Development Goal 4 (Quality Education), as it supports the concept of personalized learning by monitoring students’ physical and psychological conditions during the learning process. It also contributes to providing a safe and healthy educational environment and helps reduce educational disparities by supporting students with special needs through interactive and inclusive educational systems. Despite these significant capabilities, several future challenges remain and require serious solutions, most notably issues related to data privacy and security, the need to further develop digital infrastructure, and the reduction of implementation costs to ensure wider adoption, particularly in developing countries. In conclusion, the integration of artificial intelligence and the Internet of Things represents a qualitative leap in enhancing the accuracy of biometric monitoring systems, extending beyond healthcare and security applications to the development of smarter, more interactive educational environments. This, in turn, contributes effectively to achieving quality and inclusive education in line with the Sustainable Development Goals. Al-Mustaqbal University – The First University in Iraq.