Project Video Showcase
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Python
Machine Learning and Django
2026
ID: 1CP0647
Fake Job Detection Using Machine Learning for Secure Online Recruitment
Keywords:
Fake
Job
Detection,
NLP,
Machine
Learning,
Generative
AI,
Cybersecurity,
Django
Project Synopsis & Overview
This project develops an AI-powered system for detecting potentially fraudulent job postings using Natural Language Processing, Machine Learning, and Generative AI. TF-IDF and Logistic Regression classify job advertisements as fraudulent or legitimate, while Llama 3.3 generates explanations and highlights suspicious indicators. A Django web application provides real-time verification, confidence scores, explanations, and verification history to support safer online recruitment.
Complete Technical Specifications
| Project ID | 1CP0647 (DB ID: 647) |
| Project Title | Fake Job Detection Using Machine Learning for Secure Online Recruitment |
| Domain Division | Python |
| Sub-Domain / Tech | Machine Learning and Django |
| IEEE Year | 2026 |
| Package Price | ₹6500 |
| Created Date | Sep 23, 2026 |
Project Price
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₹8000
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