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@article{173268,
        author = {AJAY RAHANGDALE and Prof .Sujata Helonde and Divyanshu Bhondekar and Pranay Gedam and Prajwal Rewatkar},
        title = {Disaste Resilience Through IoT Based Flood Warning  Systems},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {9},
        pages = {2593-2601},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=173268},
        abstract = {Environmental disasters such as floods, droughts, and extreme weather conditions are becoming increasingly frequent and severe. This research, "Predicting Environmental Disasters Using IoT," presents an innovative real-time monitoring and alert system designed to mitigate disaster impacts. The system utilizes advanced sensors, including ultrasonic, temperature, and water flow detectors, to collect and analyze environmental data. Using ZigBee and GSM communication modules, the collected data is transmitted to a centralized platform for processing and decision-making. The Arduino Uno serves as the core processing unit, programmed in C and C++ within the Arduino IDE, ensuring optimal data management and rapid alert dissemination.
By continuously analyzing key environmental parameters, the system effectively forecasts potential hazards, issuing timely warnings to minimize damage to life and property. The scalable design of the system allows for the integration of additional sensors, enabling broader monitoring of environmental variables such as air quality, soil moisture, and seismic activities. The GSM module further enhances the system’s efficiency by facilitating real-time notifications to relevant stakeholders.
Future upgrades to the system include incorporating renewable energy sources for sustainable operation and utilizing machine learning algorithms to refine prediction accuracy based on historical data trends. This project highlights the transformative role of IoT in enhancing disaster preparedness and contributes to the broader initiative of integrating technology into environmental protection efforts.},
        keywords = {Internet of Things (IoT), Disaster Prediction, Real-time Monitoring, Arduino Uno, ZigBee, GSM Communication, Early Warning System, Sustainable Development, Machine Learning, Environmental Protection.},
        month = {February},
        }