added online-payment-fraud-detection using ml model

[sharath4444]

Online Payment Fraud Detection System

This project is an online payment fraud detection system built using Python, a machine learning model (Decision Tree Classifier), and a user-friendly interface using Streamlit. The system predicts whether a transaction is fraudulent or not based on transaction details such as the type of transaction, amount, and balances.

Project Overview

The main goal of this project is to detect potentially fraudulent transactions in real-time. The system allows users to input transaction details, and based on the trained model, it predicts whether the transaction is likely fraudulent or not.

Features

• Transaction Type Selection: Choose the type of transaction (e.g., CASH_OUT, PAYMENT, etc.).
• Input Fields: Enter the amount, the original balance before the transaction, and the new balance after the transaction.
• Prediction: The system predicts whether a transaction is fraudulent or not using a pre-trained Decision Tree Classifier.
• User-Friendly Interface: Built using Streamlit for easy interaction.