FINDEFENDER: AN AI-BASED SYSTEM FOR REAL-TIME SCAM DETECTION AND FINANCIAL RISK ANALYSIS Findefender is an intelligent, AI-powered platform designed to protect users from digital financial threats such as phishing scams, fraudulent messages, fake investment schemes, and malicious payment requests. With the rapid increase in online transactions and digital communication, users are more vulnerable than ever to cyber fraud. This project aims to provide a smart and proactive solution to detect and prevent such risks in real time.
The system integrates multiple scanning modules, including message analysis, URL verification, phone number validation, and UPI ID checking, to identify suspicious patterns and fraudulent activities. By leveraging machine learning models and rule-based detection techniques, Findefender evaluates user inputs and generates a unified risk score, helping users understand the level of threat associated with each interaction.
In addition to detection, the platform also focuses on AI explainability, where users receive clear and understandable explanations for why a particular message or transaction is flagged as suspicious. This enhances user awareness and promotes safer online behavior. The system also includes a trade and investment analysis module that helps identify risky financial opportunities such as pump-and-dump schemes and fake advisory services.
The backend of the system is built using FastAPI, ensuring high performance and scalability, while the frontend is developed using React for a modern and responsive user interface. The integration of AI services enables real-time communication between the user and the system, providing instant feedback and guidance.
Overall, Findefender acts as a comprehensive digital security assistant that not only detects scams but also educates users, making it a valuable tool in the fight against financial fraud in the digital age.
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