• Deepak Neeboriyra
• Ashish Dubey

COVID-19 (Coronavirus Disease) is a highly contagious illness. It's caused by a coronavirus that's just been found. COVID-19 has been tough to detect & treat at an early stage all over the globe. Overcrowding in hospitals is becoming a significant problem due to patients presenting signs of COVID. New pathways and opportunities for sickness diagnosis have been opened up thanks to the contribution of Deep Learning (DL) to big data medical research. To stop the spread of COVID-19, scientists need to develop a classifier that can tell the difference between corona-positive X-ray images that are positive and negative. As a result, we conducted a literature analysis, gathered data on research resources, and mapped out potential future research areas. This study compares and discusses the many ways of evaluating diagnostic procedures. Tables have been used to demonstrate the research done by different writers. Predictions made with 100% average accuracy, 99.1 percentage sensitivity and 100% specificity using the &e model were accurate. Aside from reducing the amount of time spent training, the model also improves accuracy.

COVID-19, Corona Virus, Pneumonia, Chest X-Ray, VGG16, EfficientNETB5

"A CNN-Based Framework for Pneumonia Detection Among COVID-19 Patients from CTR Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.g14-g19, August-2022, Available :http://www.jetir.org/papers/JETIR2208602.pdf

"A CNN-Based Framework for Pneumonia Detection Among COVID-19 Patients from CTR Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. ppg14-g19, August-2022, Available at : http://www.jetir.org/papers/JETIR2208602.pdf