Advancements in Real-Time Disaster Management and Early warning Systems: A Comprehensive Review

Abstract - Successful disaster management and early warning are essential in reducing the effects of natural and human-induced hazards. Advances in real-time monitoring, data analysis, and communication technologies have greatly enhanced the forecast, detection, and response to disasters. This review paper presents a critical evaluation of contemporary methods, such as, geospatial analysis, and artificial intelligence-based prediction models. It also brings to light the shortcomings of current systems and delves into possibilities of building better real-time decision-making, timely warnings, and synchronized response strategies, leading the way for more adaptive and anticipatory disaster management solutions. Key Words: Disaster Management, Disaster Response, Early Warning Systems, Machine Learning, Geospatial Analysis, Mobile Applications, Web-based Platforms, Emergency Preparedness, Predictive Modeling.