Strengthening Resilience

Abstract

With climate change and natural catastrophe risk rising, India faces several risks. Administrators, disaster responders, and medical teams face difficult terrain. Emergency decision-making is being pursued to increase natural catastrophe resilience. Artificial intelligence and machine learning can revolutionize emergency decision-making by providing data-driven insights, improving predictive capabilities, optimizing resource allocation, and strengthening communities facing India's rising disaster risk. Artificial intelligence and machine learning can quickly and efficiently analyze large datasets during crises due to the turmoil and flood of enormous data from varied sources. Advanced tools for real-time data analysis and predictive modeling are needed to help disaster management decision-makers traverse the complex labyrinth. In this chapter, technology and resilience are examined in depth. We've seen AI and machine learning alter emergency decision-making, demonstrating its adaptability and efficacy.