The Online Payment Fraud Detection Web Application is designed to enhance security in digital transactions by monitoring and detecting fraudulent activities in real-time. With the rapid adoption of online payment systems, fraudulent activities such as identity theft, account hacking, and financial fraud have become more prevalent. This application leverages the power of Flask, a lightweight Python web framework, MySQL for database management, and modern web technologies such as HTML, CSS, and Bootstrap to provide a secure, user-friendly platform for both businesses and consumers.
The rise in digital payment methods has led to an increase in online fraud activities, making it essential to implement systems that can effectively detect and prevent fraud. The Online Payment Fraud Detection Web Application aims to address this growing concern by providing a platform that actively monitors transactions for any suspicious activity.
Flask serves as the backend framework for this application, chosen for its simplicity, flexibility, and scalability. It is paired with MySQL for reliable and efficient data storage, ensuring that all transactions and user information are securely stored. The front-end of the application is developed using HTML, CSS, and Bootstrap, offering a clean, responsive, and intuitive user interface.
Software Requirement:
1. HTML
2. CSS
3. JavaScript
4. Python
5. Flask
6. MySQL
7. XAMPP
8. VS Code
9. Bootstrap
Hardware Requirement:
1. PC or Laptop
2. 500GB HDD (Hard Disk Drive) with 4GB+ RAM
3. Keyboard and Mouse
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