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.date.accessioned2025-01-15T05:37:31Z
dc.date.available2025-01-15T05:37:31Z
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.
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.
dc.identifier.otherID: 18321047
dc.identifier.otherID: 18321020
dc.identifier.otherID: 18321006
dc.identifier.otherID: 18321008
dc.identifier.otherhttps://dspace.bracu.ac.bd/server/api/core/items/8a7c3e91-e48b-4a2e-9764-1032ccb6a719
dc.identifier.urihttp://hdl.handle.net/10361/25173
dc.language.isoen
dc.publisherBrac University
dc.sourceBRAC University Institutional Repository
dc.subjectIoT
dc.subjectmicroorganism
dc.subjectAir quality
dc.subjectUser friendly
dc.subjectReal-time monitoring
dc.subjectFiltration system
dc.titleIoT based microorganism detection and filtration system
dc.typeProject Report

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