šµļøāāļø Online Payment Fraud Detection Dashboard This project is a machine learning-powered web application that detects potentially fraudulent online payment transactions.
"Online fraud is a growing issue in digital payments. Our project aims to help detect such frauds early using a predictive model trained on real transaction data."
This app is built using Python, Streamlit, Pandas, Scikit-learn, and Plotly."
Progress so far: ā Trained a Decision Tree model on a labeled transaction dataset. ā Developed a Streamlit dashboard for user input and fraud prediction. ā Integrated interactive visualizations (using Plotly) to show fraud patterns. ā Implemented model performance metrics (classification report & confusion matrix).