In light of the rapidly accelerating digital revolution, the integration of Artificial Intelligence (AI) and the Internet of Things (IoT) has become one of the most significant drivers of modern technological advancement, due to the vast capabilities it offers in developing biometric monitoring systems based on accurate health data collection and analysis. These systems rely on connecting medical and personal sensors to digital networks in order to collect real-time biometric data such as heart rate, oxygen levels, and physical activity, which are then processed using AI techniques to extract precise patterns and predict future conditions. This integration contributes to the development of intelligent biometric monitoring systems characterized by high efficiency and real-time responsiveness. IoT devices continuously collect data, while AI algorithms analyze this data instantly and transform it into accurate indicators that can be used for early diagnosis, health monitoring, and decision support. These technologies have had a significant impact across several vital sectors, most notably healthcare, by enabling remote patient monitoring and reducing the need for frequent hospital visits. They have also enhanced security systems through improved biometric identification technologies, in addition to their growing application in educational environments where wearable devices are used to monitor students’ levels of concentration and stress. Within the educational context, the importance of integrating AI and IoT is clearly reflected in supporting the achievement of the fourth Sustainable Development Goal, which focuses on ensuring inclusive and equitable quality education and promoting lifelong learning opportunities for all. AI-powered biometric monitoring systems enable personalized learning experiences by responding to students’ physical and psychological conditions during the learning process, allowing teaching strategies to be adjusted according to students’ abilities and actual needs. Moreover, these technologies help create a safe and healthy educational environment, particularly in crowded institutions or during public health emergencies, and play a crucial role in reducing educational gaps by supporting students with special needs through interactive educational systems that account for their health and cognitive conditions. Despite the substantial benefits of integrating AI and IoT, several future challenges must be addressed, including ensuring privacy protection and cybersecurity for sensitive biometric data, developing communication infrastructure to enable fast and reliable data transmission, and reducing implementation costs to facilitate widespread adoption, especially in developing countries. Nevertheless, this integration represents a transformative shift in the advancement of biometric monitoring systems and highlights its pivotal role in building smarter and more interactive educational environments, thereby directly contributing to the achievement of quality education and sustainable development. University of Al-Mustaqbal – The First University in Iraq