Developed a Breast Cancer Detection system using Machine Learning to classify tumors as Benign or Malignant. Leveraged Python and Scikit-learn to train models on the Wisconsin Diagnostic Breast Cancer dataset. Achieved high accuracy through data normalization and feature selection, providing a reliable tool for early medical diagnosis.