Authors - Nishant Sharma, Mohit Mahlawat, Mohit Sharma, Gagandeep Singh, Ayush Kumar Singh, Kamlesh Sharma Abstract - An Early Warning System (EWS) utilizing Internet of Things (IoT) technology represents a transformative approach to disaster prevention and management. By leveraging interconnected devices, sensors, and real-time data transmission, IoT-based EWS enhances the ability to detect potential hazards—such as natural disasters, industrial failures, or environmental threats—at their earliest stages. These systems enable timely alerts and response strategies, minimizing risks to human life, infrastructure, and ecosystems. IoT technology plays a crucial role in gathering precise, real-time data from various sources, including seismic sensors, weather stations, water levels, and air quality monitors. This data is then transmitted to centralized platforms for analysis, allowing authorities and stakeholders to predict, assess, and act swiftly before a disaster strikes. With cloud computing and AI integration, IoT-enabled EWS can also deliver highly accurate forecasts and automated decision-making, further enhancing disaster resilience. As the world faces increasing threats from climate change, environmental degradation, and urbanization, IoT-based Early Warning Systems are becoming essential tools for safeguarding communities, enhancing preparedness, and ensuring a more resilient future
