Wildfire indicates a significant ecological threat to the environment, which leads to a widespread destruction in economic and ecological status, which inflicts social harm across the globe. Intensity of wild fires with an increase in frequency has escalated over the years, due to several human activities and change in climate. Concerning about this, efficient management and early detection have become more significant. This study examines, assimilating internet of things (IoT) systems, artificial intelligence (AI) and unmanned aerial vehicles (UAVs) pose a revolutionary potential in the field of forests fire detection and mitigation. Natural parameters like humidity, rise and decline in temperature and smoke are monitored by IoT-enabled sensors in real-time, whereas, in unapproachable terrains an enhanced surveillance is done by UAVs which are equipped with computer vision. For large-scale forecasting techniques, cloud computing plays a crucial part. Through this study, the devastating impacts of wildfires mitigate with the help of this innovative and preventive approach of using IoT-based systems to safeguard biodiversity and human lives.