Disaster Guard AI is a novel and synergistic approach to intelligent disaster management, combining advanced artificial intelligence, advanced sensor networks, and real-time data analytics. This innovative solution aims to revolutionize the way we prepare for, respond to, and recover from disasters. As the frequency and intensity of natural disasters continue to rise, there is an urgent need for advanced technologies to enhance disaster response and mitigation strategies. Disaster Guard AI combines machine learning algorithms, real-time data analytics, and advanced sensor networks to provide a comprehensive and adaptive approach to disaster preparedness, response, and recovery. The paper presents the conceptual framework, architecture, and potential applications of Disaster Guard AI, emphasizing its potential to revolutionize the way we approach disaster preparedness, response, and recovery. The escalating frequency and intensity of natural disasters have underscored the pressing need for advanced technologies to enhance disaster management strategies. By combining advanced machine learning algorithms, real-time data analytics, and state-of-the-art sensor networks, Disaster Guard AI aims to mitigate the impact of disasters and improve overall response efficiency. In conclusion, Disaster Guard AI is a pioneering solution that combines the power of AI, machine learning, and sensor technologies to revolutionize disaster preparedness, response, and recovery. Its potential to enhance resilience and mitigate the devastating impacts of various types of disasters underscores the urgent need for advanced and intelligent disaster management solutions.
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Kumar et al. (2024) studied this question.
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