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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM29273

Early Flood Monitoring System Through AI, IOT and Thing Speak Cloud

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM29273

Volume:

8 |

3 |

Mar 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM29273

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PKD

Prof. Khopade D.K

PA

Prof.Salunkhe A.A

AM

Akanksha Mujumale

PT

Pallavi Talekar

VG

Vaishnavi Ghone

ST

Sanika Talekar

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Abstract

One kind of natural disaster that can cause significant property damage and even fatalities is flooding. It’s critical to diagnose floods early to reduce their effects. In this study, we describe a novel early flood detection technique utilizing the Thingspeak cloud platform, Artificial Intelligence (AI), and Internet Of Things (IOT) technologies.The system consists of a network of Internet Of Things (IOT) sensors positioned in flood-prone areas to detect water levels in real time. These sensors collect and transmit water level data to the Thingspeak cloud platform. The AI algorithms running on the cloud platform examine the data to look for changes in water levels that could indicate an impending flood.

KEYWORDS

Artificial Intelligence Internet of Things Thingspeak esp32 microcontroller water level sensor Flood Detection alert.

Cite This Article

Prof. Khopade D.K, Prof.Salunkhe A.A, Akanksha Mujumale, Pallavi Talekar, Vaishnavi Ghone, Sanika Talekar, "Early Flood Monitoring System Through AI, IOT and Thing Speak Cloud," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 3, Mar 2024. https://doi.org/10.55041/IJSREM29273

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12/31/45364

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The authors declare no conflict of interest related to this research work.

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