International Scientific Journal of Engineering and Management

An International Scholarly || Multidisciplinary || Open Access || Indexing in all major Database & Metadata
The journal follows the UGC Guidelines and is evaluated for inclusion in the Web of Science
ISSN: 2583-6129

Impact Factor: 7.839

EARLY FLOOD DETECTION AND AVOIDANCE USING IOT

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EARLY FLOOD DETECTION AND AVOIDANCE USING IOT

 

 

Authors:

Pranjali Lavate

Electronics & Telecommunications VPKBIET, Baramati Ashoklavte80@gmail.com

Patil Gayatri

Electronics & Telecommunications VPKBIET, Baramati gpatil09122002@gmail.com

Sandhyarani Suryawanshi

Electronics & Telecommunications VPKBIET, Baramati suryasandhya1296@gmail.com

Snehal Sabale

Electronics and Telecommunication VPKBIET, Baramati snehalsabale183@gmail.com

Balasaheb Patil

Electronics and Telecommunication VPKBIET, Baramati balasahebpatil@vpkbiet.org

Abstract This project introduces a flood warning system using the Internet of Things (IoT) and a website to send timely alerts and improve public safety. Sensors are placed in areas likely to flood, where they check water levels, runoff, and overflow in real time. The data from these sensors is sent to a main server and shown on a website. The system checks this data to find signs of possible flooding and sends instant alerts through the website, email, or SMS. This helps both local people and authorities take quick action to reduce damage and stay safe. With real- time monitoring and a web-based alert system, this project provides a reliable and effective way to manage floods and stay prepared for emergencies.


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