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, efficient, and inclusive capital market. In the paper, we discuss the impact of the problem, provide implementation details, and showcase the potentiality of the system through preliminary experiments and results.

翻译：在当今世界，随着众多社交平台的兴起，任何人传播虚假信息并引诱他人落入陷阱都变得相对容易。投资领域的欺诈计划和陷阱正在迅速增长。由此，各国和个人面临巨大的财务风险。我们提出了一种利用机器学习与游戏化技术的意识提升系统，用于教育公众识别投资骗局和陷阱。该系统应用机器学习技术为用户提供个性化学习体验。系统从领域专家精心构建的知识库中，为每个个体选择不同的游戏设计元素和骗局案例。该研究项目的目标是通过主动学习培训投资者，以减少各国的不平等现象。我们的目标是协助监管机构确保营造一个公平、高效且包容的资本市场环境。在本文中，我们讨论了该问题的影响，提供了系统实现细节，并通过初步实验和结果展示了系统的潜力。