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dc.contributor.advisorKhan, Shahidul Islam
dc.contributor.authorAurangajeb, Raoha
dc.contributor.authorKarmaker, Sajib
dc.contributor.authorKamal, Md. Ridhwan
dc.contributor.authorTasdid, M. Sadman
dc.date.accessioned2022-04-25T05:15:32Z
dc.date.available2022-04-25T05:15:32Z
dc.date.copyright2021
dc.date.issued2021-10
dc.identifier.otherID 15121003
dc.identifier.otherID 16321089
dc.identifier.otherID 16121010
dc.identifier.otherID 17321010
dc.identifier.urihttp://hdl.handle.net/10361/16566
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2021.en_US
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 75-79).
dc.description.abstractAir pollution is a burning question for the environment nowadays, requiring paramount interest. Air pollution can be controlled by monitoring the level of pollutant gases (NO2, SO2, CO2, CO, O2, PM 2.5, PM 10, etc.) in a periodic manner. Sensing air quality is a major concern for environmental monitoring. In this study, the air quality has been measured for 5 points of Dhaka city by using air quality sensors using IoT platform. The sensed data is then sent to the Thinkspeak cloud platform. The collected data is first processed and then analyzed for obtaining the value of the air quality index (AQI). The generated results are then visualized by the graphical representation. On the basis of this, an individual can take precautionary measures for a healthy life. Finally, the overall scenario for a monthly analysis has been depicted in a location-based mapping. The studied areas are Mirpur 6, Uttara Sector 6, Mohakhali Wireless, Nikunjo 2, and Uttara 12. All the setups are located in the residential areas. The result shows that the Mohakhali has the highest AQI value which is unhealthy for the inhabitants according to the standard index. The real-time data can be observed remotely by using the IoT platform. The output of the study can be further utilized for public health monitoring purposes.en_US
dc.description.statementofresponsibilityRaoha Aurangajeb
dc.description.statementofresponsibilitySajib Karmaker
dc.description.statementofresponsibilityMd. Ridhwan Kamal
dc.description.statementofresponsibilityM. Sadman Tasdid
dc.format.extent84 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.subjectIoTen_US
dc.subjectAir qualityen_US
dc.subjectEnvironmenten_US
dc.subjectThingSpeaken_US
dc.subjectDataen_US
dc.subjectHealth Issueen_US
dc.subject.lcshInternet of things
dc.subject.lcshAir quality indexes
dc.titleInternet of Things (IoT) based air quality index measurement system for Dhaka cityen_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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