Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{193158,
author = {G. SHREYA and K. HARSHITHA},
title = {DRMS-DISASTER RSEPONSE MAPPING SYSTEM},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {9},
pages = {3884-3888},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=193158},
abstract = {The increasing frequency of floods, particularly in rural and low-lying areas, has become a major concern due to heavy rainfall and poor drainage systems that lead to severe damage to homes, infrastructure, and human lives. One of the biggest challenges faced during such disasters is the delay in rescue operations caused by inefficient communication between affected people and authorities. To overcome this issue, the proposed IoT-Based Flood Rescue and Reporting System aims to provide an efficient, real-time, and community-driven solution that connects residents, NGOs, and government agencies through an online platform. The system uses IoT sensors such as a water level sensor and a heavy rainfall sensor to continuously monitor environmental conditions. These sensors collect data on rainfall intensity and rising water levels, sending it to a cloud-based dashboard where it can be viewed by users and emergency responders. The web dashboard allows citizens to report their local flood situations, request help, or indicate the availability of shelter and food for those stranded, thus promoting collaborative disaster management. The project integrates both automated sensing and human reporting, ensuring faster awareness and response compared to conventional systems that depend solely on government notifications or manual communication. Technically, the setup includes an Arduino microcontroller, step-down transformer, resistors, capacitors, and connecting wires that link sensors and transmit real-time data to the server. This data visualization helps NGOs and rescue teams to identify high-risk areas instantly, prioritize rescue operations, and reduce the time delay caused by administrative approvals. The platform also enables local volunteers to contribute actively by providing verified updates and offering immediate support to victims.},
keywords = {},
month = {February},
}
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