• Kavita Agrawal
• Ms. Vimala Manohara Ruth
• Juhitha Doddoju
• Jyotika Koneru

COVID-19 tests are currently hard to come by-they are simply not enough of them and they cannot be manufactured fast enough, which is causing panic. Given that there are limited testing kits, we need to rely on other diagnosis measures. The financial costs of the laboratory kits used for diagnosis, especially for developing and underdeveloped countries, are a significant issue when fighting the illness. Using X-ray images for the automated detection of COVID-19 might be helpful in particular for countries and hospitals that are unable to purchase a laboratory kit for tests or that do not have a CT scanner. This is significant because, currently, no effective treatment option has been found, and therefore effective diagnosis is critical. The paper aims to develop a system that predicts the probability of a person getting infected with the corona virus using various sources of input. To benefit wide number of users we aspire to develop a mobile application which has variety of features like having a personal datastore to ensure all the information like reports are available at a single location. Many other personalised aspects like reminders are provided along with some location-based services.

Convolutional Neural Network, Data Augmentation

"VIRTUAL COVID-19 PREDICTOR ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.h654-h663, June-2022, Available :http://www.jetir.org/papers/JETIR2206774.pdf

"VIRTUAL COVID-19 PREDICTOR ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pph654-h663, June-2022, Available at : http://www.jetir.org/papers/JETIR2206774.pdf