Lung cancer is the most common cancer that affect lives globally. For patients to recover fast and early detection and treatment is essential. Doctors use histological images of tissue biopsies from genuinely infected lung regions to inform treatment decisions. The majority of the time, lung cancer kinds are difficult to diagnose and take a long time. Convolutional neural network are essential for figuring out the best course of treatment for patients and their chance of survival since they can quickly and accurately recognize and classify different forms of lung cancer. This study takes into account squamous cell carcinoma, adenocarcinoma, and benign tissue. 90% accuracy is achieved with the CNN model.