Credit Card Fraud Detection System – AI-Powered Web Application
Credit Card Fraud Detection System
Introducing Credit Card Fraud Detection System – a powerful, AI-driven credit card fraud detection system developed as a secure web application. Built using robust Python frameworks and integrated with machine learning capabilities, this project is ideal for final-year students, academic submissions, or professional prototype deployment.
📊 Project Information Table
| Project Name | Credit Card Fraud Detection System |
|---|---|
| Language | Python (Flask) |
| Database | MySQL |
| Developer | UPDATEGADH |
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🌟 Available Features
- 👥 User Authentication (Admin, Analyst, and General Users)
- 📁 File Uploads & Management
- 🔐 Password Hashing with Security Measures
- 📈 AI/ML Model Integration for Fraud Detection
- 🧠 Trained Model Support via
ml_model.py - 📊 Transaction Analysis Dashboard
- 💬 Role-Based Dashboard Management
- ✅ SQLAlchemy ORM Integration for Database Handling
- 🌐 Web Interface with Flask and Template Rendering
📌 Key Technologies Used
- Language: Python
- Framework: Flask
- Database: MySQL (via SQLAlchemy)
- Libraries: Flask-Login, SQLAlchemy, Werkzeug, scikit-learn
- Frontend: HTML templates (Jinja2), Bootstrap-styled UI
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