Deep Learning and Disaster Management

Data from multiple sources, such as weather reports, satellite images, disaster history, can be used to train a deep learning system. With insights drawn from thorough analysis, experts can predict the imminent occurrence of disasters, helping people to follow a proactive approach and minimize the impact of catastrophes. No one can pause or halt the occurrence of natural or human-made disasters. We can only take steps to reduce their impact. By integrating deep learning applications such as drones, experts can get real-time data on areas that are about to get hit by a disaster.