JobShield — AI Job Scam Detection Agent

Job scam losses reported to the FTC jumped from $90M to $501M in recent years, and a third of US job seekers have run into one — yet only 61% feel confident they could actually spot a scam if they saw it. JobShield is an agent that checks a job posting's claims against the real world instead of pattern-matching against old training data. It extracts what a posting claims (company, domain, salary, contact method), then a verification agent decides which tools to call: WHOIS domain age, live search for the company's real domain, a typosquat check, a reviews/complaints search, and a LinkedIn presence check. A deterministic scoring layer combines these hard signals with an LLM pass that writes grounded, evidence-backed explanations — "domain registered 12 days ago," not "this feels off." It works on any pasted text, not just one platform's listings — covering the off-platform pivot to WhatsApp or Telegram that platform-native moderation can't reach. Built on Fireworks AI (a confirmed AMD Instinct GPU partner), Streamlit, and Docker. Benchmarked against a public labeled dataset, and honestly reported even where the result was uncomfortable — a finding that mostly validated why real-time verification matters more than static pattern matching.