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Automated detection and analysis of fraudulent job postings and crypto-mule recruitment campaigns using fine-tuned BERT models and network graph analysis.
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The project addresses a very specific and impactful niche (UK-based crypto-mule recruitment) using standard NLP and graph analysis techniques. However, with zero stars and forks, it remains a personal prototype or academic exercise without a verified user base or unique dataset that would provide a moat. While the domain is too specific for frontier labs to target, the technical approach is a standard application of existing ML libraries.
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