Air Quality Prediction using machine learning Methods

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dc.contributor.advisorShahnewaz Siddique
dc.contributor.authorHossain Amrin
dc.contributor.authorSumaia Islam Alita
dc.contributor.id1531148042
dc.contributor.id1620205042
dc.coverage.departmentElectrical and Computer Engineering
dc.date.accessioned2025-07-30
dc.date.accessioned2025-07-30T04:08:13Z
dc.date.available2025-07-30T04:08:13Z
dc.date.issued2021
dc.description.abstractAir pollution is one of the modern world's biggest issues. In Dhaka, Bangladesh, air quality has become a topic of concern that is growing day by day. Especially, PM2.5 andPM10levels are troubling because of their connection to health threats. The purpose of this study is to predict Air quality. Our main goal of this project is to assist Bangladeshi citizens to realize the risks and steps they need to take to mitigate air pollution. So, in this paper, we are presenting some forecasting models that will help to predict air quality.
dc.description.degreeUndergraduate
dc.identifier.cd600000617
dc.identifier.print-thesisTo be assigned
dc.identifier.urihttps://repository.northsouth.edu/handle/123456789/1336
dc.language.isoen
dc.publisherNorth South University
dc.rights© NSU Library
dc.titleAir Quality Prediction using machine learning Methods
dc.typeThesis
oaire.citation.endPage69
oaire.citation.startPage1
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