SmellScam (E-Scammer Scan) is a student project designed to raise
awareness about online scams and make online shopping safer.
Our website lets you scan suspicious sellers, learn common scam tricks,
and stay protected while shopping online.
Disclaimer: This project is for Final Year Project purposes.
• To develop a fraud detection system using machine learning algorithms.
• To integrate Multi-Factor Authentication (MFA) as an added layer of security.
• To design and implement a user-friendly dashboard that displays trust scores and scam alerts.
Technical Training Officer, German-Malaysian Institute
Project Leader / AI Developer
System Developer
Website Designer
Assistant Designer