Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing climate disaster management by providing advanced tools and techniques for predicting, mitigating, and responding to natural disasters. These technologies provide huge amounts of data from various sources, including remote sensing, weather stations, and social media, to enhance the accuracy and efficiency of disaster management processes. AI and ML algorithms can analyse complex datasets to identify patterns and trends that human analysts might overlook. The forecasts enable authorities to implement proactive measures, such as reinforcing infrastructure, pre-positioning emergency supplies, and issuing early warnings to vulnerable communities. Models like predictive models can forecast the likelihood of extreme weather events such as hurricanes, floods, and droughts based on historical data and current conditions. AI and ML play a crucial role in real-time disaster response in addition to prediction. These technologies process real-time data from various sensors and sources to provide situational awareness during any disaster. AI-enabled drones and satellite imagery assess damages to identify affected areas and prioritize rescue and relief operations. Machine learning algorithms analyse social media posts to gauge public sentiment, detect emergencies, and direct resources to areas in need. AI and ML also contribute to long-term resilience and recovery efforts. The analysis of post-disaster data evaluates the effectiveness of response strategies and identifies areas for improvement. They model different scenarios to help policymakers develop robust disaster management plans and policies. AI and ML support community engagement by providing accessible and actionable information to the public through chatbots and mobile applications. The adoption of AI and ML in climate disaster management faces challenges, such as data privacy concerns, the need for high-quality data, and the requirement for skilled personnel to develop and maintain these systems. These challenges are essential to fully realize the benefits of AI and ML in building climate resilience and ensuring effective disaster management. AI and ML are transformative technologies that enhance the prediction, response, and recovery phases of climate disaster management. These advanced tools will help authorities to protect communities and ecosystems from the adverse impacts of climate-related disasters.