What role does machine learning play in disaster response?

How is machine learning used in disaster response?

Machine learning helps analyze data quickly, predict disasters, and optimize resource allocation during emergencies.

Can you give an example of machine learning in action during a disaster?

Sure! During Hurricane Harvey, machine learning models predicted flooding patterns, helping responders allocate resources effectively.

What types of data do these models use?

They use satellite imagery, social media feeds, weather data, and historical disaster data to make accurate predictions.

Are there any challenges in using machine learning for this purpose?

Yes, challenges include data quality, the need for real-time processing, and ensuring models are trained on diverse datasets.