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dc.contributor.author | Faraz Asad, 01-235152-014 | |
dc.contributor.author | Abeer Ehsan Rashid, 01-235152-004 | |
dc.date.accessioned | 2020-08-17T10:11:02Z | |
dc.date.available | 2020-08-17T10:11:02Z | |
dc.date.issued | 2019 | |
dc.identifier.uri | http://hdl.handle.net/123456789/9625 | |
dc.description | Supervised by Dr. Moneeb Gohar | en_US |
dc.description.abstract | Air pollution is the biggest challenge for the human health in the world today. It has adverse effects on the human health, environment and the ecosystem. Air pollution prompts antagonistic impact on Human life. Dust Particles like PM 2.5,1.0 and pollen also causes health problems in human body. Toxic gases from the industry, automobiles have polluted the air and increase the concentration of particulate matter in the atmosphere which is the main cause of air pollution. This makes a requirement for monitoring and analysis of real-time air quality monitoring system in order to take decision timely. We have tried our best to develop real-time air quality monitoring system. We have included various parameters: PM 2.5(Dust, Pollen particle), Propane, Methane, carbon dioxide, heat, temperature and humidity. Using IoT and Cloud Computing, that will give better management of data coming from various sensors using Raspberry pi and Arduino. Thus, reducing the cost and time, data will be delivered to the users through android App in real time and generate alerts if the concentration is high | en_US |
dc.language.iso | en | en_US |
dc.publisher | Bahria University Islamabad Campus | en_US |
dc.relation.ispartofseries | BS (IT);MFN 8509 | |
dc.subject | Computer Science | en_US |
dc.title | Islamabad air | en_US |
dc.type | Thesis | en_US |