Pancreatic cancer needs early detection and accurate classification for better patient results. Deep learning, a subset of machine learning, show great promise in medical imaging, especially in recognizing and categorizing pancreatic cancer through CT scans. This research explores the use of deep learning methods to spot and classify pancreatic cancer from CT images. It will cover the basics of deep learning in medical imaging and then talk about the difficulties linked with spotting and classifying pancreatic cancer from these images. Finally, analysis will be performed on the current techniques used to identify and categorize pancreatic cancer from CT scans.