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IoT based microorganism detection and filtration system

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dc.contributor.advisorMohsin, Dr. Abu S. M.
dc.contributor.authorTahsin, Nuren
dc.contributor.authorRahman Shishir, Md.Shamsur
dc.contributor.authorMahmud, Md.Shakil
dc.contributor.authorRahman Jafree, Md.Mostofa
dc.contributor.departmentDepartment of Electrical and Electronic Engineering
dc.date.accessioned2025-01-15T05:37:31Z
dc.date.available2025-01-15T05:37:31Z
dc.date.copyright2023
dc.date.issued2023-01
dc.descriptionCataloged from PDF version of final year design project.
dc.descriptionIncludes bibliographical references (pages 100-102).
dc.descriptionThis final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2023.en_US
dc.description.abstractThis abstract presents an IoT-based microorganism detection and filtration system. The system utilizes sensor technology to detect the presence of microorganisms in air using masks and a filtration mechanism to remove them. The sensor data is transmitted to a remote device via IoT connectivity, allowing for real-time monitoring and analysis of the air quality. The system is designed to be highly efficient and cost-effective, making it a viable solution for large-scale implementation in various settings, including homes, industries, school, medical etc. The system is also designed to be user-friendly and easy to install, making it accessible to a wide range of users. This proposed IoT based microorganism detection and filtration system has the potential to improve the quality of life for communities by providing access to air quality monitoring.en_US
dc.description.degreeB.Sc. in Electrical and Electronic Engineering
dc.description.statementofresponsibilityNuren Tahsin
dc.description.statementofresponsibilityMd.Shamsur Rahman Shishir
dc.description.statementofresponsibilityMd.Shakil Mahmud
dc.description.statementofresponsibilityMd.Mostofa Rahman Jafree
dc.format.extent113 pages
dc.identifier.otherID: 18321047
dc.identifier.otherID: 18321020
dc.identifier.otherID: 18321006
dc.identifier.otherID: 18321008
dc.identifier.urihttp://hdl.handle.net/10361/25173
dc.language.isoenen_US
dc.publisherBrac Universityen_US
dc.rightsBrac 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.
dc.subjectIoTen_US
dc.subjectmicroorganismen_US
dc.subjectAir qualityen_US
dc.subjectUser friendlyen_US
dc.subjectReal-time monitoringen_US
dc.subjectFiltration systemen_US
dc.subject.lcshMicroorganisms--Identification.
dc.titleIoT based microorganism detection and filtration systemen_US
dc.typeProject Reporten_US

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Thesis & Design Report (Bachelor of Science in Electrical and Electronic Engineering)