Child safety and health monitoring are crucial concerns for parents and guardians. This project presents an IoT-based child tracking and monitoring system using Arduino, integrating multiple sensors to ensure real-time health tracking and location monitoring. The system includes a heart rate sensor for continuous health monitoring, a panic button for emergency alerts, and sound and fall detection sensors to identify distress situations. A GPS module provides real-time location tracking, while a GSM module enables communication in emergencies. All collected data is uploaded to an IoT platform, allowing parents to remotely monitor their child’s safety and well-being. By combining real-time monitoring with AI-driven analysis, this system enhances child safety, ensures quick emergency response, and provides efficient tracking, making it ideal for school children, toddlers, and children with special needs.