Automated Classroom Humidity Control System

dc.contributor.authorYasir, Abdullah Al Mahmood
dc.contributor.authorSharif, Mohammed Fahim Hasan
dc.contributor.authorAhmed, Nasur
dc.date.accessioned2022-01-02T06:09:58Z
dc.date.available2022-01-02T06:09:58Z
dc.date.issued2020-12-19
dc.description.abstractThis is 21st century, which basically called the era of science and technology on the other hand this is also the time of globalization and digitalization. With the advancement of new technology we gather new experience and do new invention according to the current situation of global environment .Day by day air is polluted more and more. For optimizing this situation we innovate and idea which is basically build a strong and trustable air and humidity monitoring for the classroom .Where students don’t feel any kind of suffocation during learning. That System is fully automated and generate and analysis data from through a sustainable internet connection. This report presents the future of an automated classroom where air properties are very balance on the other hand how the system controlled the humidity of the classroom. This is an IoT based project. After the testing the project, we make a successful classroom humidity control system model and cost-consuming device to generate data set for the environment. Using the sensors, microcontroller, cloud, machine learning and overall IoT technology we design a classroom monitoring system called “Automated Classroom Humidity Control System” based on IOT. The overall system is controlled and monitoring from a user friendly UI, where admin can mo0nitor the humidity, temperature and air properties. After collected data set we can predict the emission level, humidity, temperature and other data analysis using the machine learning algorithm.
dc.identifier.otherhttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/6608
dc.identifier.urihttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/6608
dc.language.isoen_US
dc.publisher©Daffodil International University
dc.sourceDIU Institutional Repository
dc.subjectHumidity control
dc.subjectInternet of things
dc.subjectMachine learning
dc.subjectWeb applications
dc.titleAutomated Classroom Humidity Control System
dc.typeOther

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