Recognition of Pandemic virus Covid-19 using Inception-V3

Abstract

Machine learning is an emerging field in the area of computer science. It works in various fields like speech recognition, medical science, finance, prediction and self-driving car etc. Nowadays the use of machine learning techniques are increased in the medical field such as medical image processing, disease detection etc. Here we are used Convolutional Neural Network (CNN) for the detection of pandemic virus Covid-19. Machine learning clubbed with radiology adds it to the call with the assistance of the chest X-Rays. This strategy can really lessen the requirement for radiologists to be accessible to survey the symbolism. It likewise expends less an ideal opportunity for evaluating and way lesser time than the current testing strategy; PCR. In this examination the Inception-V3 engineering is made being used to consequently recognize the COVID - 19 positive cases and we achieved the accuracy of 95.95 percent.