Economic crisis prediction due to pandemic outbreak using machine learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.

Detalhes bibliográficos
Principais autores:	Ahmed, Tanvir, Hasan, MD. Nahid, Ashik, Md., Hasan, Md. Jahid
Outros Autores:	Parvez, Mohammad Zavid
Formato:	Tese
Idioma:	English
Publicado em:	Brac University 2021
Assuntos:	Multilayer perceptron Long short-term memory Random forest Economic recession Machine learning Pandemic Covid-19 COVID-19 (Disease)
Acesso em linha:	http://hdl.handle.net/10361/15221

id	10361-15221
record_format	dspace
spelling	10361-152212022-01-26T10:18:28Z Economic crisis prediction due to pandemic outbreak using machine learning Ahmed, Tanvir Hasan, MD. Nahid Ashik, Md. Hasan, Md. Jahid Parvez, Mohammad Zavid Department of Computer Science and Engineering, Brac University Multilayer perceptron Long short-term memory Random forest Economic recession Machine learning Pandemic Covid-19 COVID-19 (Disease) This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020. Cataloged from PDF version of thesis. Includes bibliographical references (pages 34-37). Since pandemic disease outbreaks are causing a major ﬁnancial crisis by aﬀecting the worldwide economy of a nation, machine learning techniques are urgently required to forecast and analyze the economy for early economic planning and growth and to resettle it.A large number of studies have shown that the spread of the disease has experienced a signiﬁcant change in the economy. As a consequence, we will use machine learning to construct early warning models for economic crisis prediction. This paper used a publicly available data-set containing information about National Revenue, Employment Rate, and Workers Earnings of USA over 239 days (1 January 2020 to 12 May 2020). Then, we applied Multilayer Perceptron (MLP) Neural Network and Random Forest classiﬁer to identify recession in revenue, employment rate, and workers earnings, therefore, got accuracy 95%, 81%, 89% and 85%, 81%, 89% respectively. To analyze how much the economy aﬀected by this pandemic, we drive revenue, employment rate, and workers earnings data-set into Long shortterm memory (LSTM) and Random Forest Regressor hence got accuracy 92%, 90%, 90%, and 95%, 93%, 93% respectively. Before a country faces an economic recession, it is important to identify which sector to emphasize to minimize this unexpected scenario. Using machine learning, we analyzed the data and predicted the economy so we could help save a signiﬁcant amount of capital for a country. Tanvir Ahmed MD. Nahid Hasan Md.Ashik Md. Jahid Hasan B. Computer Science 2021-10-12T04:14:00Z 2021-10-12T04:14:00Z 2021 2021-06 Thesis ID 17301054 ID 17301096 ID 17301131 ID 17301227 http://hdl.handle.net/10361/15221 en Brac University theses 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. 37 pages application/pdf Brac University
institution	Brac University
collection	Institutional Repository
language	English
topic	Multilayer perceptron Long short-term memory Random forest Economic recession Machine learning Pandemic Covid-19 COVID-19 (Disease)
spellingShingle	Multilayer perceptron Long short-term memory Random forest Economic recession Machine learning Pandemic Covid-19 COVID-19 (Disease) Ahmed, Tanvir Hasan, MD. Nahid Ashik, Md. Hasan, Md. Jahid Economic crisis prediction due to pandemic outbreak using machine learning
description	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.
author2	Parvez, Mohammad Zavid
author_facet	Parvez, Mohammad Zavid Ahmed, Tanvir Hasan, MD. Nahid Ashik, Md. Hasan, Md. Jahid
format	Thesis
author	Ahmed, Tanvir Hasan, MD. Nahid Ashik, Md. Hasan, Md. Jahid
author_sort	Ahmed, Tanvir
title	Economic crisis prediction due to pandemic outbreak using machine learning
title_short	Economic crisis prediction due to pandemic outbreak using machine learning
title_full	Economic crisis prediction due to pandemic outbreak using machine learning
title_fullStr	Economic crisis prediction due to pandemic outbreak using machine learning
title_full_unstemmed	Economic crisis prediction due to pandemic outbreak using machine learning
title_sort	economic crisis prediction due to pandemic outbreak using machine learning
publisher	Brac University
publishDate	2021
url	http://hdl.handle.net/10361/15221
work_keys_str_mv	AT ahmedtanvir economiccrisispredictionduetopandemicoutbreakusingmachinelearning AT hasanmdnahid economiccrisispredictionduetopandemicoutbreakusingmachinelearning AT ashikmd economiccrisispredictionduetopandemicoutbreakusingmachinelearning AT hasanmdjahid economiccrisispredictionduetopandemicoutbreakusingmachinelearning
_version_	1814308891751612416

Economic crisis prediction due to pandemic outbreak using machine learning

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