Paper Title
Citizen Alert System for Flood Prediction Using Machine Learning and Edge Computing
Article Identifiers
Authors
Rashmi Ingle , Pratiksha Ghorpade , Gargi Avadhani , Radhika Raina , Prof. R. H. Borhade
Keywords
Smart City, Edge Computing, Machine Learning, Flood Prediction, LDA Algorithm, Web Application
Abstract
Flooding incidents in India significantly threaten human lives and infrastructure. This research paper presents a comparative analysis of machine learning and IoT techniques integrated with edge computing for flood prediction. Our proposed cyber-physical system aims to provide timely alerts for water flooding, detect illegal debris dumping, and prevent sound pollution. By analyzing diverse models and methodologies, we evaluate their effectiveness in achieving accurate flood prediction. Leveraging machine learning algorithms and IoT sensor data, combined with edge computing capabilities, our system facilitates real-time decision-making and enhances the efficiency of flood management. The findings of this study contribute to informed flood management strategies, mitigating the impact of flooding incidents and safeguarding lives and property.
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How To Cite (APA)
Rashmi Ingle, Pratiksha Ghorpade, Gargi Avadhani, Radhika Raina, & Prof. R. H. Borhade (May-2023). Citizen Alert System for Flood Prediction Using Machine Learning and Edge Computing. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), i898-i903. https://ijnrd.org/papers/IJNRD2305908.pdf
Issue
Volume 8 Issue 5, May-2023
Pages : i898-i903
Other Publication Details
Paper Reg. ID: IJNRD_197878
Published Paper Id: IJNRD2305908
Downloads: 000122002
Research Area: Engineering
Country: Pune, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2305908.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305908
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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