Breast cancer is a vital problem for women across the globe. Mostly breast cancer is been identified at the later stages. In existing approach, the breast cancers are inspected by doctors but accuracy and time are major concerns. To overcome the existing issue, we proposed breast cancer detection technique using computer vision invoking image processing and deep learning technique. The trained model is been built using convolutional neural network (CNN). Feature extraction is performed using principal component analysis (PCA). For experimental results, we use google colab with python script to analyze and recommend outcomes such as benign, malignant. © 2024 Elsevier B.V., All rights reserved.