From Chatbot to Auditor: How AI Now Catches Fake Internships

Internship scams exploit students' eagerness and lack of experience, costing them time and money, yet traditional AI systems struggle to distinguish polished fakes from legitimate offers. ShieldIntern solves this by layering deterministic rules—such as auto-flagging upfront payment demands—with LLM-powered analysis, creating an auditor-style system that resists sophisticated scam tactics. The approach shows how adding structured logic to AI models can produce more reliable safeguards for vulnerable populations.