CYBERGUARDIAN AI SCAMSHIELD NETWORK

CyberGuardian AI ScamShield Network is a no-code/low-code project that aims to improve the security
awareness and defensive skills of the users of digital transactions in India through the implementation
of a multi-modal, interactive, and AI-driven tool for identifying, analyzing, and alerting users about the
threats they might encounter. The rapid expansion of the online financial activities ecosystem results in
users being exposed to the scam like phishing, identity theft, payment fraud, and incentive-based attacks
that exploit the greed. The project mixes a plethora of user-interactive and AI-powered modules to
provide the detection, analysis, and user education of the scam threats faced by them in a contextualized
manner. One part of the platform is a multilingual chatbot that can grasp the content of suspicious
messages in English, Hindi, and Tamil, and do the scam risk quick assessments for the users. A userinteractive scam is one of the simulators that performs numerous scenario-based quizzes on demand so
users can understand and comprehend the common digital scam modes as well as practice safe digital
usage. The risk predictor for transactions gives a risk rating for the target transaction by comparing
historical data and making AI-based predictions. A Bricks-generated dynamic dashboard makes scam
trends, risk distributions, and other transaction dataset visualizations in a more accessible and engaging
way. Fraud Threat Radar that is made by Claude, NotebookLM, and Perplexity, gives graphics of scam
distributions along with the areas where new kinds of threats have arisen. Moreover, by using Google
My Maps, users can now seamlessly navigate the high-risk locations to discover any unusual activity,
in addition to, local scam patterns.