Lung cancer is one of the most difficult diseases to treat and has a high mortality rate. The treatment usually depends on early tumour detection. Effective analysis of early tumours helps patients in fast recovery. Traditional medical imaging procedures such as x-ray, CT scan, MRI etcetera have low potential when it comes to effective detection of lung tumours. Convolutional Neural networks or CNN have rapidly gained doctors and researchers attention due to their capacity for accurate image processing. The present study shows the impact of CNN in lung cancer detection. Secondary qualitative method of data analysis is used to collect relevant and factual information related to research topic. Their responses were further justified with secondary journals and articles. The major goal of this project is to identify malignant lung nodules in an input lung picture and to categorise lung cancer and its severity. This study employs unique Deep learning approaches to determine the location of malignant lung nodules. © 2022 IEEE.