This research paper explores the development and implementation of IoT-based monitoring systems for tracking wildlife health and migration patterns. By leveraging advanced IoT technologies, including GPS, health monitoring sensors, and environmental sensors, this study aims to enhance our understanding of wildlife behaviors and improve conservation efforts. The IoT system was deployed in a designated study area, monitoring selected wildlife species to collect real-time data on health metrics and migration patterns. Data analysis revealed significant insights into the movement and health status of the wildlife, demonstrating the efficacy of IoT technology in wildlife conservation. The findings highlight the potential for immediate interventions, policy recommendations, and future research directions to further integrate IoT in environmental monitoring.