期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2021
卷号：3
期号：3
页码：626-633
DOI：10.35629/5252-0303484488
语种：English
出版社：IJAEM JOURNAL
摘要：Safety and cost play the most important role in Today’s world. COVID-19 hascaused great loss in all over the world. There are many people who died because of thisvirus, in that few died without treatment because they were not able to afford for thetreatment. Due to the expensive test kits many people are avoiding to check whether theyare corona positive or negative. So, in this project the model would predict whether corona is present or not in a person using binary classification. This model would easily predict and its affordable compared to the test kits. This model would predict correctdecision. The deep-learningbased approaches would be used in this model. Deeplearning technique like CNN is used in the project additionally traditional machinelearning algorithm such as SVM . The data set has been fetched from Kaggle,Githuband it would be divided into training and testing images. The images which are usedwould be classified as normal or COVID19. We are comparing the accuracy resultsobtained by the classification model.
