The “COVID-19 DETECTION USING CT SCAN” is an image processing project utilizing deep learning techniques for enhanced accuracy in diagnosing the novel coronavirus (SARS-CoV-2) based on chest radiographs and computed tomography (CT) scans. The proposed method addresses the limitations of traditional testing, primarily focusing on improving sensitivity and specificity. This study discusses the success of Convolutional Neural Networks (CNNs) in medical image analysis and suggests future work involving model refinement, exploration of additional imaging modalities, and clinical validations. The application of deep learning in COVID-19 detection shows promise for enhancing diagnostic efficiency in the ongoing global pandemic.