In recent years, it has been observed that a global pandemic coronavirus called COVID-19 is posing unheard of difficulties for economies, healthcare systems, and public health across the globe. Coronavirus disease is a respiratory infectious disease caused by the SARS-CoV-2 virus. It was urgently needed to detect and diagnose disease early at that time. As one of the most effective methods of detecting infection, the RT-PCR test was found to be time-consuming and not so accurate, giving a strategic boost to AI-based deep-learning CNN Covid detection methods that are relatively quick with chest X-rays, which are becoming increasingly common. In this context, we proposed a framework based on deep learning that utilized radiographic images of humans for covid identification by using pretrained CNN architectures as well. Furthermore, the proposed CNN framework showed the state-of-the-art accuracy on the Covid Radiography dataset.