Project Domain / Category
Abstract / Introduction
Covid-19 is widely spreading disease now a days. Many researchers are working on discovering the
treatments to cure this disease. Covid-19 test kits are very expensive and available in limited quantity.
So, to detect covid-19 at early stages using alternative ways is very important task in this pandemic
Covid-19 disease symptoms are very closely related to the pneumonia patients. To detect covid-19
quickly at early stage we will use pre-trained convolutional neural network (i.e. ResNet50). The
convolution neural network will work on the chest X-rays of the pneumonia affected patients. The
image dataset will be classified as Covid 19 affected healthy, viral pneumonia and bacterial
1. Take input as X-rays images
2. Load any pre-trained neural net
3. Calculate the performance matrices i.e. true positive, true negative, accuracy, precision,
4. Show the results in tabular form and graphically.