During disasters, such as natural catastrophes the immediate survival of victims is at stake. There have been instances where victims who were genuinely in dire need of assistance were not provided with it when they should have, resulting in their extreme injury or death. This happened because the rescue team was occupied helping other individuals who did not need immediate assistance. By prioritizing victims for rescue, rescue teams can focus on locating and aiding those most vulnerable or in life-threatening situations, increasing the chances of their survival. With a limited number of resources, categorizing individuals based on their condition and need for help, disaster management teams can strategically deploy specialized resources, making the most of available expertise. Our research introduces a drone-based solution that surveils the disaster-stricken region to identify victims and launches a priority tracker that tags them and gives their real-time situation details to the concerned authorities. The systems involved in this process are the Deployment System and the Priority Management System. The Deployment System utilizes a drone equipped with advanced thermal cameras that are continuously rotated in all directions to identify humans. Upon identification, the system initiates a priority tracker launcher that targets and tracks the identified human. The Priority Management System includes a priority tracker with sensors that provides real-time data on tagged individuals. This data allows the rescue personnel to analyze and prioritize rescue efforts using Priority UI which displays the sensor readings of multiple trackers deployed. The priority tracker also has a panic button to increase the individual's priority and ensure a quick response. Overall, the paper demonstrates a new system for rescue operations that emphasizes prioritizing victims, allocating resources effectively, and improving disaster response efficiency.