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Abstract

The increasing frequency and intensity of natural disasters, exacerbated by climate change, have highlighted the critical need for advanced technological solutions in disaster prediction, preparedness, and response. This paper explores the transformative role of technology in mitigating the impacts of natural disasters, focusing on innovations in data analytics, remote sensing, early warning systems, and artificial intelligence (AI). Satellite-based systems and geographic information systems (GIS) have enabled more accurate real-time monitoring and forecasting of disasters like hurricanes, floods, and earthquakes. AI and machine learning models have further improved the predictive capabilities by analyzing vast datasets to identify patterns and potential risks. Additionally, technology-driven solutions such as drones, mobile communication networks, and disaster response apps have significantly enhanced on-the-ground relief efforts, allowing for more efficient resource allocation and coordination. By examining case studies of recent disasters, this article underscores the importance of continued investment in technological advancements and their integration into global disaster management frameworks to enhance resilience and reduce human and economic losses.