An effective real-time flood disaster management with automated GSM warning system
This final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2022.
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| Idioma: | English |
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Brac University
2024
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| Accés en línia: | http://hdl.handle.net/10361/24060 |
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10361-240602024-09-23T05:09:14Z An effective real-time flood disaster management with automated GSM warning system Faruk, Omar Aliva, N Afrida Nawar Salmani, Md. Golam Islam, Raisa Huda, A. S. Nazmul Department of Electrical and Electronic Engineering, Brac University Flood warning Flood prediction Machine learning GSM module Voice over Raspberry pi Water Resources and Hydrologic Engineering Machine learning This final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2022. Cataloged from PDF version of final year design project. Includes bibliographical references (pages 81-83). Flood is one most devastating calamity of Bangladesh. A project is introduced that emphasizes management strategies throughout the crisis and issues alerts before and after a flood to reduce any concerns. To our study, flash flood is identified as a major concern of disaster. The flood warning system is triggered by two systems: sensors based and machine learning. Sensors with send signal to the main processing unit; Arduino. The Six distinct machine learning algorithms were developed in this study to estimate the river’s water level on a daily basis using data that was gathered from 2017 to 2021 and utilized to train and test the proposed model. To determine the model’s correctness, various design strategies were investigated. The method that produced the best prediction result had the lowest error rate. Machine leaning is taking place in a slave processing unit; Raspberry Pi. Both processing unit before and after flood can communicate via GSM module. Voice over is a new termed established in this project, where authority can directly connect and send announcement to the people of affected area. Omar Faruk N Afrida Nawar Aliva Md. Golam Salmani Raisa Islam B. Electrical and Electronic Engineering 2024-09-11T06:56:25Z 2024-09-11T06:56:25Z 2022 2022-04 Project report ID 17121054 ID 17121013 ID 17321034 ID 18121042 http://hdl.handle.net/10361/24060 en Brac University project reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 105 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Flood warning Flood prediction Machine learning GSM module Voice over Raspberry pi Water Resources and Hydrologic Engineering Machine learning |
| spellingShingle |
Flood warning Flood prediction Machine learning GSM module Voice over Raspberry pi Water Resources and Hydrologic Engineering Machine learning Faruk, Omar Aliva, N Afrida Nawar Salmani, Md. Golam Islam, Raisa An effective real-time flood disaster management with automated GSM warning system |
| description |
This final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2022. |
| author2 |
Huda, A. S. Nazmul |
| author_facet |
Huda, A. S. Nazmul Faruk, Omar Aliva, N Afrida Nawar Salmani, Md. Golam Islam, Raisa |
| format |
Project report |
| author |
Faruk, Omar Aliva, N Afrida Nawar Salmani, Md. Golam Islam, Raisa |
| author_sort |
Faruk, Omar |
| title |
An effective real-time flood disaster management with automated GSM warning system |
| title_short |
An effective real-time flood disaster management with automated GSM warning system |
| title_full |
An effective real-time flood disaster management with automated GSM warning system |
| title_fullStr |
An effective real-time flood disaster management with automated GSM warning system |
| title_full_unstemmed |
An effective real-time flood disaster management with automated GSM warning system |
| title_sort |
effective real-time flood disaster management with automated gsm warning system |
| publisher |
Brac University |
| publishDate |
2024 |
| url |
http://hdl.handle.net/10361/24060 |
| work_keys_str_mv |
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| _version_ |
1814309159410073600 |