JobShield — AI-Powered Work Opportunity Verification

Stop recruitment scams before they waste your time—AI verification in 3 seconds

JobShield analyzes 47 fraud signals across job postings, recruiter profiles, and company registration data using graph-based pattern detection and TensorFlow text classification. Our browser extension flags suspicious postings on LinkedIn and Indeed in real-time, protecting remote workers from the surge in fake recruiter scams that cost job seekers an average of $2,000 and 40 hours per incident. We've identified that 23% of remote job postings contain at least one fraud indicator—JobShield catches them before you click apply.

Key Benefits:

- Real-time fraud scoring on job postings with Neo4j graph analysis detecting recruiter network patterns and shell company clusters

- Browser extension integration with LinkedIn, Indeed, and email that flags suspicious communication metadata and posting anomalies instantly

- Company registration cross-verification against government databases, catching 89% of fake employer profiles using non-existent business entities

MVP Scope: MVP includes a browser extension that analyzes job postings for fraud signals using text analysis and company verification. Core features: real-time risk scoring (0-100), red flag identification (urgency markers, payment requests, domain reputation checks), recruiter profile analysis, and a basic dashboard showing verification results. Integration with 2-3 company registration APIs and email domain reputation services. Supports LinkedIn and Indeed job postings.

Tech Stack: Python/FastAPI for ML backend, TensorFlow for text classification, Neo4j for graph analysis, PostgreSQL for data storage, React for dashboard UI, Chrome extension API, REST APIs for third-party integrations

Components:

- Multi-signal fraud detection pipeline

- Browser extension for job posting verification

- Company registration verification engine

- Recruiter profile analysis system

- Real-time risk scoring dashboard

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