Virtual Disaster Management Systems for Real-Time Response and Aid

This review paper examines the current status of web-enabled disaster management programs that combine Artificial Intelligence with Internet of Things and Geographic Information Systems. The system focuses on developing better situational awareness and decision capabilities to resolve issues stemming from information overload as well as data quality and resource limitations in low-income areas. An AI-based cloud platform will combine swift information from multiple resources to optimize disaster services through real-time data processing. This platform enables effortless data management while enabling seamless collaboration among agencies in various emergency situations. At the same time, it supports easy processing and data compatibility for different requirements. The system operates to minimize data silos and boost operational speed and unite efforts in disaster management particularly for neglected communities. The framework delivered through this research establishes new foundations to improve emergency preparedness and response through enhanced resilience attributes and multilevel scalability and interoperable functionality.