💳 Credit Card Fraud Detection System

A Streamlit-based web app that detects potential credit card fraud using machine learning techniques on transaction datasets. It helps identify anomalous transactions based on behavioral patterns.

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🚀 Demo

🔗 Live App on Streamlit Cloud

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📂 Project Structure

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🧠 Features

• Predicts whether a transaction is fraudulent or not.
• Trained on imbalanced dataset using machine learning (e.g., Logistic Regression, Random Forest, etc.).
• Visualizes correlations, distributions, and outliers.
• Real-time input interface for predictions.

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📊 Dataset

• Dataset: Credit Card Fraud Detection Dataset - Kaggle
• Features are PCA-transformed due to confidentiality.
• Contains 284,807 transactions, out of which 492 are frauds.

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📦 Installation

1. Clone the repository

git clone https://github.com/yourusername/creditcard-fraud-detection.git
cd creditcard-fraud-detection