The COVID-19 pandemic continues to have a enormous influence on the health and well-being of the world's population. An important step in the fight against COVID-19 is using the successful screening methods of infected patients, where one of the key approaches for screening is the chest X-ray radiological imaging. This study was designed create mobile application which uses machine learning techniques to automatically detect COVID-19 pneumonia patients checking their chest X-rays with maximum detection accuracy using Deep Neural Networks (DCNN). According to the studies analysed in second chapter of the thesis, COVID-19 detection accuracy utilizing CNN on chest X-rays is quite high and accurate.