The project aims to develop a secure e-commerce application integrated with a fraud detection module. It ensures safe transactions, protects sensitive user and payment data, identifies suspicious activities in real-time, and enhances trust and reliability for both customers and merchants.
Analyze common e-commerce fraud scenarios such as payment fraud, fake accounts, and transaction anomalies.
Design and implement a secure login, registration, and authentication system for users.
Develop core e-commerce functionalities, including product listing, shopping cart, and order processing.
Integrate a fraud detection module using rule-based logic or machine learning to flag suspicious transactions.
Implement secure payment processing with encryption for sensitive financial data.
Build role-based access control for administrators, sellers, and customers to manage permissions securely.
Maintain logs and generate alerts for any suspicious activity or potential fraud attempts.
Test the application for security, usability, and performance under normal and high-load conditions.
Deploy the system in a simulated e-commerce environment for demonstration and evaluation.
