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@article{180220,
        author = {Dr.R. Elavarasi and V. Pavithra and V. Pavithra and Y. Punitha and R. Salini},
        title = {Machine Learning Based IoT System for Real Time Flood Detection and Alerting System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {860-865},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180220},
        abstract = {The Internet of Things (IoT)-based flood recognition system aims to monitor environmental parameters and provide early flood warnings using advanced sensor technology and Nodemcu microcontrollers. The system uses ultrasonic sensors to measure water levels, while the moisture sensor detects the moisture content of the soil and provides important real-time data for both. This performance is provided by a regulated IC 7805 circuit to ensure stable voltage operation of the established components. The Nodemcu device, which acts as a central controller, handles moisture and ultrasonic sensor inputs and triggers a buzz alarm when predefined flood conditions are met. This integration allows seamless communication between hardware components, ensuring efficient flood recognition. The compact design of the system, cost-effective cost, and wireless connectivity make it a practical solution for far and endangered regions. With timely warnings, the proposed solution will help reduce the risk of flooding and secure human life and property. The system's IoT capabilities allow remote monitoring and data transmission, allowing for quick and proactive responses to flood conditions. The system is inexpensive, energy efficient, suitable for flooding and remote use, ensuring timely warnings to minimize property damage and life loss. Thanks to the integration of modern IoT solutions, this project closes the gap between technology and disaster management and provides a reliable means to prevent flooding and risk reduction.},
        keywords = {Flood Detection System, Early Warning System, Smart Monitoring, Environmental Safety},
        month = {June},
        }