AI-Based Disaster Prediction and Early Warning Systems

Abstract

Disaster management systems. This introduction explores the role of disaster management technologies, focusing on their evolution, current applications, and future potential, particularly in the context of AI-based solutions.Historically, disaster management relied heavily on manual processes and rudimentary tools for assessment and response. This often resulted in delayed reactions and inadequate resource allocation during emergencies. Geographic Information Systems (GIS), remote sensing, and telecommunications have all played crucial roles in improving situational awareness and enabling faster decision-making.ICT facilitates real-time data sharing among stakeholders, including government agencies, NGOs, and the public. This connectivity enhances coordination and ensures that critical information reaches affected populations promptly. For instance, mobile technology has empowered communities to report incidents and receive alerts, thereby improving early warning systems.Moreover, data analytics has emerged as a key component in disaster management.