FRAUDAPT

FRAUDAPT is an AI-powered scam message detection engine designed to help users identify and mitigate fraudulent communications in real-time. It leverages the MiniLM-L6-v2 sentence transformer model to generate semantic embeddings of messages, allowing the system to analyze the content and compare it against a database of known scam cases. Using a vector database (originally Qdrant, though the system can work with other database solutions), FRAUDAPT efficiently finds the most similar cases and calculates a risk score, categorizing messages into Low, Medium, or High Risk. Users can interact with FRAUDAPT via a Streamlit-based web interface, where they can paste suspicious messages and instantly receive insights about potential scams. FRAUDAPT supports diverse use cases, including detecting phishing attempts, lottery scams, subscription frauds, and other financial or social engineering threats. The system is modular and scalable, allowing easy integration with different backends and models, making it a practical tool for individuals, organizations, and developers looking to proactively prevent fraud.