This document proposes using a convolutional neural network model to detect COVID-19 from chest CT images. It aims to overcome the limitations of existing diagnostic methods like swab tests that can be slow. The proposed system would collect CT images from online datasets, preprocess the images, then train a CNN model to classify images as positive or negative for COVID-19. If validated, the CNN model could automatically analyze new CT images and provide faster detection of COVID-19 cases to help prevent further spread of the disease.