PhishGuard AI: Transitioning from Development to a Functional Prototype. I have made significant progress in refining the core architecture of PhishGuard AI. The focus has been on integrating Explainable AI (XAI) to ensure that our phishing detection isn't just accurate, but also transparent for the end-user. Currently, the backend, powered by Python, is successfully analyzing URL patterns and metadata in real-time, providing clear justifications for its security ratings. I’ve also enhanced the user interface to ensure a seamless experience. As I prepare for the upcoming AISEC 2026 forum, I am finalizing the prototype to demonstrate how this solution effectively mitigates cyber threats while maintaining high performance and reliability.
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