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Research Article

EEO. 2021; 20(3): 3257-3266

A Novel Deep Learning Application To Diagnose Delta Corona Virus

Kanak Mittal, Garima Sharma, Ankita Nainwal, Vikas Tripathi, Mr Akash Chauhan.


A widely mutated deadly virus called coronaviruses affrighted the global civilization in 2019. The pandemic brought on by this virus is frightening the human’s race severely. Many organizations and individuals are working on best to provide a way to test-based illness prediction. As the suffered individual is getting having lungs infection at first before any severe spread of infection. In our work, we are proposing a novel deep learning based covid delta variant model for early detection of COVID-19 Disease Detection along with an interactive user interface. For disease prediction we are using X- ray Images and classifying whether a person is suffering from covid-19 or not, based on chest x-ray images of that person. The accuracy received is 99.45% with validation loss of 0.0774.

Key words: CNN, X-Ray, Covid-19, Delta variant detector, OpenCV, ReLU, softmax

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