We see that nowadays people with mild symptoms who don’t even have covid are mistaken by the fact that they might have caught the virus. Hence, they go to the hospital for a test thereby wasting kits which are already very less in number as compared to India’s population.
Therefore due to shortage of kits it would be helpful if the doubtful cases could find the results using just their X- rays. Machine learning methods can be applied to search for a model to distinguish cases of COVID-19 based on chest X-rays (CXR).
Hence we provide an application that will be helpful for hospitals to save time and maintain a recorded data of the patients suffering from covid-19 and the patients that are the carriers so that doctors can distinguish between them with their chest X-rays.
This would save time ,as well as ensure the safety and health of people.