International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 2 (March-April 2026) Submit your research before last 3 days of April to publish your research paper in the issue of March-April.

JobScamShield-Fake Job Post Detection

Author(s) Sanskruti Mahendra Surve, Sarthak Santosh Hasbe, Kishori Manohar Salokhe, Tejashree Pangare
Country India
Abstract JobScamShield is an AI-based system designed to detect and prevent fake job postings, ensuring safer online recruitment. The system applies Natural Language Processing (NLP) and Machine Learning (ML) techniques to analyze job descriptions, detect inconsistencies, and flag unrealistic salary offers.
Keywords Fake Job Detection, Natural Language Processing (NLP), Machine Learning (ML), Company Verification, Glassdoor Integration, Job Scam Prevention
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 8, Issue 2, March-April 2026
Published On 2026-03-01

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