Built and deployed an end-to-end machine learning web application for breast cancer detection using classification models trained on medical datasets. The platform allows users to input patient data and receive real-time predictions with confidence scores. Integrated an MLOps pipeline for model evaluation, versioning, and CI/CD automation via GitHub Actions. Fully deployed and publicly accessible.