Disaster prediction involves using scientific methods and technology to forecast natural events that could cause harm, such as earthquakes, hurricanes, and floods. By analyzing data from various sources, including weather patterns and geological activity, experts aim to identify potential risks and provide early warnings to communities. Effective disaster prediction can save lives and reduce damage by allowing people to prepare in advance. Tools like satellite imagery, computer models, and historical data play a crucial role in this process. Organizations such as the National Oceanic and Atmospheric Administration (NOAA) and the United Nations Office for Disaster Risk Reduction (UNDRR) work to improve prediction methods globally.