🔐 AI-Powered Credit Card Fraud Detection System | Real-Time Streamlit Dashboard Demo (2025)

📌 What this project does:
This system detects credit card fraud in real time using advanced machine learning models and presents results through an interactive Streamlit dashboard.

🧠 Key Features
✅ Real-Time Fraud Detection with Risk Levels

✅ Ensemble Models (XGBoost, LightGBM, Random Forest)

✅ Explainable AI (SHAP Plots)

✅ Email Alerts for Critical Transactions

✅ Batch CSV Processing

✅ Secure Access with Role-Based Logic

✅ SHAP Waterfall + Job Risk + Heatmap Visualization

✅ ROC AUC, Classification Report, Confusion Matrix

📊 Tech Stack
Python, Streamlit

XGBoost, LightGBM, SMOTE

Pandas, NumPy, Plotly, Matplotlib

Yagmail, SHA-256 Encryption

🔐 Purpose:
To combat financial fraud using explainable AI, secure workflows, and intuitive dashboards.

👨‍💻 Built by:
Sanjay Kumar
🔗 LinkedIn https://www.linkedin.com/in/sanjay127/
📧 E-mail sanjay.dev925@gmail.com

🔖 Hashtags:
#AI #Streamlit #FraudDetection #XGBoost #CyberSecurity #MachineLearning #DataScience #FinTech #CreditCardFraud #SHAP #OpenSource #Python #AnomalyDetection

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