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dc.contributor.advisorKhan, Shahidul Islam
dc.contributor.authorRedwan, Md. Azharduddin
dc.contributor.authorHaque, S.M. Ehtesham Ul
dc.contributor.authorAsif, Niaz Mohammad
dc.contributor.authorShihab, Mamun Abdul Quium
dc.date.accessioned2021-10-19T05:28:06Z
dc.date.available2021-10-19T05:28:06Z
dc.date.copyright2020
dc.date.issued2020-10
dc.identifier.otherID 16321111
dc.identifier.otherID 16321153
dc.identifier.otherID 16321020
dc.identifier.otherID 16321139
dc.identifier.urihttp://hdl.handle.net/10361/15419
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2020.en_US
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 71-80).
dc.description.abstractEnvironmental pollution is a global issue and air pollution is its silent killer for every country in the world whether it is developed or developing. The largest amount of environment pollution is happening due to toxicity of air which endangers the whole planet lives. Health issues of these airborne pollution are wide ranged. It affects plants, living animals, most importantly human bodies with short or long-term diseases and in hazardous situation it brings death for man lives. In order to detect the presence of pollutant gases in air, this research was proposed. The environmental parameters are detected in a proper way and uploaded to IoT server. The data are real-time and accessible from anywhere as long as the device is connected to internet. The data were collected from Dhaka city and using the collected data, a comparative analysis is done between the fully lockdown period of COVID-19 and the no lockdown condition of recent time. The finding of this research suggest, air pollution must be reduced for a better and healthy environment for human being.en_US
dc.description.statementofresponsibilityMd. Azharduddin Redwan
dc.description.statementofresponsibilityS.M. Ehtesham Ul Haque
dc.description.statementofresponsibilityNiaz Mohammad Asif
dc.description.statementofresponsibilityMamun Abdul Quium Shihab
dc.format.extent80 pages
dc.language.isoenen_US
dc.publisherBrac Universityen_US
dc.rightsBrac 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.
dc.subjectEnvironmenten_US
dc.subjectPollutionen_US
dc.subjectAir qualityen_US
dc.subjectReal-timeen_US
dc.subjectDataen_US
dc.subjectIoTen_US
dc.subjectHealth issueen_US
dc.subject.lcshInternet of things.
dc.titleReal time environmental parameter analysis using IOT based platformen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Electrical and Electronic Engineering, Brac University
dc.description.degreeB. Electrical and Electronic Engineering


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