Detection
๐ต๏ธโโ๏ธ Online Payment Fraud Detection Dashboard This project is a machine learning-powered web application that detects potentially fraudulent online payment transactions.
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"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."
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Progress so far: โ Trained a Decision Tree model on a labeled transaction dataset. โ Developed a Streamlit dashboard for user input and fraud prediction. โ Integrated interactive visualizations (using Plotly) to show fraud patterns. โ Implemented model performance metrics (classification report & confusion matrix).