The Fire-Eye project presents the development of an unmanned aerial system (UAS) designed for post-fire forensic investigation and scene mapping. In the aftermath of a fire, buildings are often left structurally unstable, putting human investigators at risk. Fire-Eye addresses this challenge by enabling remote inspection and data collection within damaged interiors. Developed over 10 weeks by a team of 10 students, the system combines high-resolution spatial mapping using LiDAR with ultraviolet fluorescence-based detection of human remains. The modular quadcopter design integrates seamlessly with existing forensic and emergency response infrastructure, requiring minimal additional logistical support. The team used a careful design process, including trade-off analyses, simulations, and performance testing, to ensure the system’s reliability and effectiveness. Market analysis indicates a clear demand for such systems in forensic institutes and urban fire departments, where safety, precision, and rapid deployment are essential. Fire-Eye offers a practical and sustainable approach to improving the safety and effectiveness of post-fire investigations.