Our AI model leverages advanced machine learning techniques to predict breast cancer based on medical imaging data. We use a dataset that includes various features extracted from images and patient records. Our logistic regression model is trained on this comprehensive dataset to achieve high accuracy and reliability in predictions. The training process involves iterative optimization to fine-tune the model's performance, ensuring it can accurately classify images and provide valuable insights for early detection.