Disaster Emergency Decision-Making System (D.E.D.M) aims to research and explore how to design artificial intelligence applications for natural disaster response, address challenges and pain points that first responders are currently facing after natural disasters happen, especially to solve the limited and unreliable technology they use in the current system. Additionally, first responders face challenges in-disaster situations with communication, information transparency, decision making conflict, and relief resources distribution. These difficulties cause loss of rescue time that results in delayed disaster area recovery and more casualties. The process used in this investigation is a design thinking approach that allows designers to learn and understand problems to create solutions -- in this case user-centered design applications for first responders. Methods utilized for this investigation include cross-demographic interviews, surveys, analysis of documented in-situ disaster response problems, ideation, prototyping, and user-testing. The final design prototype demonstrates how to integrate various AI technologies to help first responders at each stage of the mission, and show future designers the possibilities of design that leverages artificial intelligence to solve existing problems experienced in disaster response.