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Project ID:

ITCS04308

ScamShield AI: An AI-Powered Scam Detection and Fraud Prevention Platform

Project Title:

Category:

Information Technology/ Computer Science/ AI

Inventors:

Tey Jay Yang, GAN WEI XING (MEMBER), CHANG JING XUAN (MEMBER), NGUI YU JIE (MEMBER), DR. LIM WEI JER (ADVISOR)

Institution/Company:

Southern University College

Invention Description/ Abstract:

ScamShield AI is an artificial intelligence-powered platform designed to help users identify potential scams and reduce the risk of financial fraud. The invention addresses the growing challenge of deceptive messages, suspicious links, and fraudulent online communication by providing an accessible tool for preliminary scam assessment. Users can submit suspicious content for AI-assisted analysis and receive a risk assessment accompanied by understandable explanations and recommended safety precautions. The platform aims to improve scam awareness by helping users recognise warning signs, question suspicious requests, and make more informed decisions before sharing personal information or transferring money. Its key innovation is combining automated content analysis, explainable risk communication, and fraud prevention education within a user-friendly digital platform. ScamShield AI is intended to support, rather than replace, human judgement and official fraud reporting channels. The invention promotes safer digital behaviour and greater public awareness of evolving online fraud techniques.

Invention Technical Description

ScamShield AI is a software-based fraud prevention platform designed around AI-assisted content analysis and explainable risk assessment. Its proposed processing workflow accepts user-submitted suspicious messages, links, or other supported text content and prepares the information for analysis. An artificial intelligence component examines potential fraud indicators, such as impersonation, urgency, suspicious payment requests, and attempts to obtain sensitive information. The analysis results are translated into an understandable risk assessment, supported by explanations of detected warning signs and recommended protective actions. The user interface presents these findings in an accessible format to support informed decision-making. The system is designed to distinguish automated assessments from confirmed fraud cases and to communicate uncertainty where appropriate. Its technical development requires representative training and evaluation datasets, independent testing, and performance measurements such as precision, recall, and false-positive rates. These validation procedures are essential before claims about real-world detection accuracy can be established.

Demostration/ Presentation Video

Poster/ Broucher/ Invention Photo

Additional Documents

> Photo of the Invention
> Additional Technical Document
> Additional Photo of the Invention

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