Mohsin, Dr. Abu S. M.Tahsin, NurenRahman Shishir, Md.ShamsurMahmud, Md.ShakilRahman Jafree, Md.Mostofa2025-01-152025-01-1520232023-01ID: 18321047ID: 18321020ID: 18321006ID: 18321008http://hdl.handle.net/10361/25173Cataloged from PDF version of final year design project.Includes bibliographical references (pages 100-102).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.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.113 pagesenBrac 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.IoTmicroorganismAir qualityUser friendlyReal-time monitoringFiltration systemMicroorganisms--Identification.Project Report