Flood prediction involves using hydrological, meteorological, and geographical data to forecast the occurrence and impact of floods, enabling timely warnings and mitigation strategies. Advances in technology, such as remote sensing, machine learning, and real-time data analysis, have significantly improved the accuracy and reliability of flood prediction models.