Mostafa Abdulkhader Jassim

Abstract :

The study will come up with an integrative model of human skills and artificial intelligence to avert decision-making within emergency settings in Civil Defense operations in Karbala Province. The suggested system is a combination of smart prediction models and real-time data analytics with human responder experience to enhance response rates and effectiveness in case of critical incidents, fires included, and high attendance of religious events. Machine learning and reinforcement learning will be used to analyze data obtained in civil defense records, field sensors, and past reports of incidents to provide immediate recommendations to field teams. The model will have an interactive interface that enables human users to confirm or modify the AI-generated decisions, which will improve the levels of transparency and trust. The anticipated results are impressive response times and efficiency in resource allocation, which leads to the elevation of the level of public safety in the high-risk areas.