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dc.contributor.author | 03-134182-023, Hizqeel Javed | |
dc.contributor.author | 03-134182-074, Bilal Arshad | |
dc.date.accessioned | 2024-12-12T06:40:01Z | |
dc.date.available | 2024-12-12T06:40:01Z | |
dc.date.issued | 2022-06-14 | |
dc.identifier.other | BULC938 | |
dc.identifier.uri | http://hdl.handle.net/123456789/18734 | |
dc.description | Supervisor: Mr. Tahir Iqbal | en_US |
dc.description.abstract | Covid-19 is continuously spreading around the world with more than 530 million cases [5] around the world, just in Pakistan, more than 1 million covid cases have been detected. Keeping this information in mind we need to figure out better ways to test people for covid-19, to be able to diagnose them for covid. Data is available on covid patients such as their Chest CT-Scans, these chest CT-Scans could be used to develop a Machine Learning based model that can predict if a patient has Covid or not. Our goal was to create a machine learning model that can detect if that patient has covid or not on the base of the CT scan image as an input. There are many conventional ways to find the presence of the coronavirus in a person but all of them are slow and will take up to 12 days to figure out. So, in this project we proposed to find better ways to detect corona. We have made an agent that will tell whether the person has corona or not depending on the tomographic image that will be provided. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartofseries | ;BULC938 | |
dc.title | Detection Agent for Covid-19 | en_US |
dc.type | Project Reports | en_US |