Piltiai, Roman2026-04-202026-04-202026Piltiai, Roman. (2026). TACTICAL COMBAT CASUALTY CARE (TCCC) AI DECISION SUPPORT SYSTEM. Kyiv: American University Kyiv. URI: https://er.auk.edu.ua/handle/234907866/182https://er.auk.edu.ua/handle/234907866/182Tactical Combat Casualty Care (TCCC) serves as the definitive standard for battlefield trauma management, yet the application of these protocols under high-stress combat conditions remains a significant challenge. Cognitive overload and lack of immediate expert guidance can lead to critical errors in pre-hospital care. This capstone project addresses this gap by engineering an Intelligent TCCC Tutor and Decision Support System tailored for dynamic environments. The proposed solution leverages a cloud-native, serverless architecture on Amazon Web Services (AWS) to ensure high availability, scalability, and low-latency performance. By integrating Generative AI and Large Language Models (LLMs), the system interprets complex user inputs and provides real-time, context-aware guidance aligned with the MARCH algorithm. The application was designed using modern software engineering principles, prioritizing modularity and enterprise-scale security standards. The resulting system demonstrates how advanced cloud computing and artificial intelligence can be effectively operationalized to enhance medical training and decision-making. This project not only delivers a functional prototype for tactical education but also establishes a reference architecture for future AI-driven systems in high-stakes domains.en-USTactical Combat Casualty Care (TCCC)Artificial IntelligenceGenerative AIDecision Support SystemsServerless ComputingCloud ArchitectureThesis