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bert

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FraudSentinel is an AI-powered multi-modal fraud detection platform designed to identify modern cyber threats across emails, credentials, attachments, websites, voice, prompts, and AI agents. It combines machine learning, transformer models, audio analysis, URL and domain forensics, sret scanning, and sandboxed behavioral detection to generate.

  • Updated Mar 16, 2026
  • TypeScript

🛡️ An AI-powered debate training and communication risk analysis platform. LogicShield strengthens your arguments, detects logical fallacies, and evaluates reputational risk before you publish, pitch, or perform.

  • Updated Jul 14, 2026
  • TypeScript

Neutral Net is a TypeScript-React & Flask web application developed for the COS398 Ethics and Social Impacts of Computing course at the University of Southern Maine. This application utilizes SerpAPI and a fine-tuned BERT model to analyze Google News search results for bias.

  • Updated Jun 29, 2025
  • TypeScript

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