Artificial Intelligence (AI) has emerged as an innovative tool in disaster management. Illustrate with examples.
Artificial Intelligence (AI) has emerged as a transformative tool across all phases of disaster management—prediction, response, and recovery.
In prediction, AI algorithms analyze massive datasets—weather patterns, seismic activity, and historical records—to generate early warnings. For example, AI models can forecast cyclone paths or flood risks with greater accuracy, enabling timely evacuations.
During response, AI aids rapid damage assessment and resource allocation. Drones equipped with AI-based image recognition can map affected areas, identify damaged infrastructure, and direct relief where it is most needed. Similarly, AI-driven chatbots provide real-time, multilingual information on shelters, safety measures, and emergency contacts, ensuring consistent communication.
For logistics, AI optimizes supply chains by analyzing road conditions and demand patterns to deliver aid efficiently.
In recovery, AI simulations help planners design disaster-resilient infrastructure and communities.
By combining predictive insights with operational efficiency, AI strengthens disaster management, saving lives, reducing economic losses, and enhancing resilience.
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Sakshi Negi
Sakshi Negi is a Delhi-based journalist and content specialist with expertise in educational content and digital media, focusing particularly on government exam preparation and career guidance. With a degree in Journalism and Mass Communication from NRAI School of Mass Communication and her background as a Kendriya Vidyalaya alumna, she brings unique insights into the Indian education system and government sector opportunities.
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