• Bevara Bharat Sai
• Bhavanam Vineela
• Borra lasya venkata priya
• Bapatla praneetha
• B Vamsy Krishna

Especially in metropolitan areas, where huge populations and vital infrastructure are susceptible to a variety of risks, the advent of smart cities needs the development of novel solutions for disaster management. An innovative Internet of Things-based Disaster Alerting System that was developed particularly for smart city contexts is presented in this study.The system is designed to identify, evaluate, and broadcast realtime alerts in the event of natural disasters, accidents, or crises.It does this by utilizing sensor networks, data analytics, and communication technologies. The purpose of this research is to identify deficiencies in existing catastrophe warning systems by doing a complete assessment of the available literature and then proposing a viable framework to solve these difficulties.The design of the system includes sensor nodes for monitoring the environment, a framework for data processing and analysis, and a communication infrastructure for the transmission of alerts. The usefulness of the system is demonstrated through case studies and simulation studies, which also illustrate the system’s potential to improve catastrophe preparedness and response in metropolitan settings. Discussions on problems, future directions, and the larger implications of Internet of Things (IoT) in disaster management for smart cities are included in the last section of the newspaper.

IoT, Smart City, Disaster Alerting System, Disaster Management

"IOT Based Disaster Alerting System for Smart City Environment", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.l321-l325, April-2024, Available :http://www.jetir.org/papers/JETIR2404B44.pdf

"IOT Based Disaster Alerting System for Smart City Environment", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppl321-l325, April-2024, Available at : http://www.jetir.org/papers/JETIR2404B44.pdf