AI For Fraud Awareness
Prabh Simran Singh Baweja, Orathai Sangpetch, Akkarit Sangpetch

TL;DR
This paper introduces an AI-powered educational system using machine learning and gamification to raise awareness about investment scams and reduce financial fraud risks globally.
Contribution
It presents a novel personalized learning platform that combines machine learning with gamification to educate users about investment frauds, tailored to individual knowledge levels.
Findings
Preliminary experiments show increased user awareness.
System effectively personalizes scam education.
Potential to aid regulators in fraud prevention.
Abstract
In today's world, with the rise of numerous social platforms, it has become relatively easy for anyone to spread false information and lure people into traps. Fraudulent schemes and traps are growing rapidly in the investment world. Due to this, countries and individuals face huge financial risks. We present an awareness system with the use of machine learning and gamification techniques to educate the people about investment scams and traps. Our system applies machine learning techniques to provide a personalized learning experience to the user. The system chooses distinct game-design elements and scams from the knowledge pool crafted by domain experts for each individual. The objective of the research project is to reduce inequalities in all countries by educating investors via Active Learning. Our goal is to assist the regulators in assuring a conducive environment for a fair,…
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Taxonomy
TopicsFinTech, Crowdfunding, Digital Finance · Imbalanced Data Classification Techniques · Stock Market Forecasting Methods
