| dc.contributor.author | Obaidullah Abbasi, 01-132162-045 | |
| dc.contributor.author | Naveed ul Hassan, 01-132182-023 | |
| dc.contributor.author | Hafiz Muhammad Umar, 01-132162-006 | |
| dc.date.accessioned | 2023-09-11T11:00:00Z | |
| dc.date.available | 2023-09-11T11:00:00Z | |
| dc.date.issued | 2021 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/16192 | |
| dc.description | Supervised by Waleed Manzoor | en_US |
| dc.description.abstract | Today, in all over the world air pollution is the biggest and challenging problem for human health. It is harmful to human health, the environment, and the ecosystem. Air pollution has a negative impact on human health. Pollen and dust particles such as PM 2.5,1.0 create health concerns in humans. Toxic chemicals from industry and automobiles have polluted the air and increased particulate matter concentrations in the atmosphere, which is the primary source of air pollution. This necessitates the use of a real-time air quality monitoring system for monitoring and analysis in order to make fast decisions. We did everything we could to create a real-time air quality monitoring system. We've added the following parameters: PM 2.5 (Dust), MQ2 (Gasses), and DHT22 (Temperature and Humidity). Using IoT and Cloud Computing, Node-MCU will be better equipped to handle data flowing from multiple sensors. As a result of the cost and time savings, data will be supplied to customers in real-time via an Android Application. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Computer Engineering, Bahria University Engineering School Islamabad | en_US |
| dc.relation.ispartofseries | BCE;P-2387 | |
| dc.subject | Computer Engineering | en_US |
| dc.subject | Air Quality Surveillance | en_US |
| dc.subject | Design Constraints | en_US |
| dc.title | Air Quality Surveillance | en_US |
| dc.type | Project Reports | en_US |