Babies and infants face significant health risks, compounded by their inability to communicate symptoms effectively, leading to challenges in diagnosis and care. Parents often struggle to ensure optimal health monitoring for their infants due to these challenges that may change their behavior from normal to degraded. To address these concerns, this project presents an innovative IoT-based baby monitoring system designed to offer comprehensive health and environmental monitoring capabilities through a network of integrated sensors. In addition, multi-agents’ system was used to model their dynamic behavior with and without the presence of undesirable events. The proposed system integrates a network of sensors to capture real-time data on vital signs, including heart rate and oxygen saturation, alongside environmental parameters such as temperature, humidity, and air quality. This data is processed and displayed via a custom-built Android application, providing parents with instant updates and alerts. The system aims to enhance infant safety by alerting caregivers to identify potential health issues and environmental risks promptly, thereby facilitating timely interventions.