International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Smart Job Posting Classifier: Real vs Fake |
|---|---|
| ABSTRACT | The rapid growth of online recruitment platforms has increased the risk of fraudulent job postings, leading to financial loss and misuse of personal information. This project, Job Shield AI, presents a web-based application that classifies job postings as real or fake using Natural Language Processing (NLP) and rule-based fraud detection. The system analyzes job descriptions for fraud indicators such as payment requests, suspicious contact details, unrealistic salary offers, and lack of company authenticity. Developed using Python, Flask, HTML, CSS, and JavaScript, the application provides interactive analysis and generates fraud probability, legitimacy score, and confidence level. The solution operates offline without external APIs, ensuring efficiency, security, and accessibility for job seekers. |
| AUTHOR | P. KAVYA, KOPPADI RAJEEVI, YANDRAPU BHARATH KUMAR, SUDIKONDA MEGHANA GAYATHRI,TRIPURAGIRI SAI BHAVANI, GUMMAPU ARAVIND Assistant Professor, Department of CSE (Data Science), NSRIT, Vishakhapatnam, India Student of Department of CSE (Data Science), NSRIT, Vishakhapatnam, India |
| VOLUME | 182 |
| DOI | DOI: 10.15680/IJIRCCE. 2026.1403050 |
| pdf/50_Smart Job Posting Classifier Real vs Fake.pdf | |
| KEYWORDS | |
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