dc.contributor.advisor | Mohsin, Dr. Abu S. M. | |
dc.contributor.author | Tahsin, Nuren | |
dc.contributor.author | Rahman Shishir, Md.Shamsur | |
dc.contributor.author | Mahmud, Md.Shakil | |
dc.contributor.author | Rahman Jafree, Md.Mostofa | |
dc.date.accessioned | 2025-01-15T05:37:31Z | |
dc.date.available | 2025-01-15T05:37:31Z | |
dc.date.copyright | 2023 | |
dc.date.issued | 2023-01 | |
dc.identifier.other | ID: 18321047 | |
dc.identifier.other | ID: 18321020 | |
dc.identifier.other | ID: 18321006 | |
dc.identifier.other | ID: 18321008 | |
dc.identifier.uri | http://hdl.handle.net/10361/25173 | |
dc.description | This 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 | Cataloged from PDF version of final year design project. | |
dc.description | Includes bibliographical references (pages 100-102). | |
dc.description.abstract | This 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.statementofresponsibility | Nuren Tahsin | |
dc.description.statementofresponsibility | Md.Shamsur Rahman Shishir | |
dc.description.statementofresponsibility | Md.Shakil Mahmud | |
dc.description.statementofresponsibility | Md.Mostofa Rahman Jafree | |
dc.format.extent | 113 pages | |
dc.language.iso | en | en_US |
dc.publisher | Brac University | en_US |
dc.rights | Brac 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.subject | IoT | en_US |
dc.subject | microorganism | en_US |
dc.subject | Air quality | en_US |
dc.subject | User friendly | en_US |
dc.subject | Real-time monitoring | en_US |
dc.subject | Filtration system | en_US |
dc.subject.lcsh | Microorganisms--Identification. | |
dc.title | IoT based microorganism detection and filtration system | en_US |
dc.type | Project report | en_US |
dc.contributor.department | Department of Electrical and Electronic Engineering, Brac University | |
dc.description.degree | B.Sc. in Electrical and Electronic Engineering | |