Flood Prediction and Monitoring System

June 2022
Vol-8, Issue-3
Paper ID: 17349
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Science and Engineering
Keywords
Data Analysis Sensors Machine Learning Mobile Application Internet of Things Linear Regression Android.
Abstract
During floods, the flood monitoring system plays a critical role in assisting the government and community in effectively managing the situation of flood victims and therefore reducing the disaster effect. The proposed system will include a basic monitoring interface, flood data, and short-term water level predictions in the future. Several academics have offered various solutions to the flood problem, such as establishing prediction models and constructing adequate infrastructure. As a result, the primary goal of our research is to develop a realtime flood detection system based on machine learning algorithms and IoT that detects water level and water flow measurements and predicts floods as early as feasible. Although with the help of satellite images we can predict flood conditions, there is a need for a certain system that is more efficient to predict current flood conditions, warn of high flood areas, and provide authority to the government to take required action on the flood situation.

Author Information

# Name Institute / Affiliation
1 Pallavi D. Patil Sharad Institute Of Technology College Of Engineering, Yadrav(Kolhapur)
2 Rutuja Kishor Kumthekar Sharad Institute Of Technology College Of Engineering, Yadrav(Kolhapur)
3 Shreya Bahubali Patil Sharad Institute Of Technology College Of Engineering, Yadrav(Kolhapur)
4 Siddhi Avinash Kumbhar Sharad Institute Of Technology College Of Engineering, Yadrav(Kolhapur)
5 Namrata Suraj Aparadh Sharad Institute Of Technology College Of Engineering, Yadrav(Kolhapur)

How to Cite

Use the following formats to cite this article in your research.

APA Style
Patil, Pallavi D., Kumthekar, Rutuja Kishor, Patil, Shreya Bahubali, Kumbhar, Siddhi Avinash, & Aparadh, Namrata Suraj (2022). Flood Prediction and Monitoring System. International Journal of Advance Research and Innovative Ideas In Education, 8(3), 4256-4266.
MLA Style
Patil, Pallavi D., et al. "Flood Prediction and Monitoring System." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, 2022, pp. 4256-4266.
IEEE Style
Pallavi D. Patil, Rutuja Kishor Kumthekar, Shreya Bahubali Patil, Siddhi Avinash Kumbhar, and Namrata Suraj Aparadh, "Flood Prediction and Monitoring System," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, pp. 4256-4266, 2022.
Vancouver Style
Patil Pallavi D., Kumthekar Rutuja Kishor, Patil Shreya Bahubali, Kumbhar Siddhi Avinash, Aparadh Namrata Suraj. Flood Prediction and Monitoring System. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(3):4256-4266.
Harvard Style
Patil, Pallavi D., Kumthekar, Rutuja Kishor, Patil, Shreya Bahubali, Kumbhar, Siddhi Avinash, & Aparadh, Namrata Suraj (2022) 'Flood Prediction and Monitoring System', International Journal of Advance Research and Innovative Ideas In Education, 8(3), pp. 4256-4266.
Chicago Style
Patil, Pallavi D., et al. "Flood Prediction and Monitoring System." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 4256-4266.
Turabian Style
Patil, Pallavi D., et al. "Flood Prediction and Monitoring System." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 4256-4266.

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