Credit Card Fraud Detection

Trained on a highly imbalanced dataset of 284,000+ transactions, this system uses a scikit-learn preprocessing pipeline (SMOTE-style resampling, feature scaling) feeding a classifier that reaches 99.9% accuracy. Results are explored live through an interactive Streamlit dashboard with Plotly visualizations and Pandas/NumPy under the hood.