fake-job-detection

An AI-powered machine learning system that detects potentially fraudulent job postings using NLP and TF-IDF text classification.

Chrome extension that scores job postings for likelihood of being ghost jobs.

NLP-based Fake Job Posting Detection system using TF-IDF feature engineering, Linear SVM classification, and Streamlit deployment to identify fraudulent job advertisements.

A data analysis project that studies real and fake job posts to help people avoid scams and find genuine jobs.

This repository contains a cleaned and combined dataset of job postings, originally collected in 2015. It is intended to be used as a baseline for research and development related to job posting analysis and fake job detection.

JobShield is a full-stack, machine-learning-powered web application designed to detect fraudulent and fake job postings. It features a sleek React (Vite) frontend and a high-performance FastAPI backend that serves an XGBoost classifier trained using advanced NLP techniques (TF-IDF, spaCy) to analyze and identify scam job listings.

An end-to-end machine learning system that detects fraudulent job postings based on textual content, metadata, and job attributes.

Fake Job Post Prediction — An NLP-based project to detect fake job postings using text preprocessing, feature extraction (TF-IDF), and machine learning models. The project includes data cleaning, exploratory analysis, model training, and prediction notebooks.

NLP-based Machine Learning solution to detect fraudulent job advertisements. Features a modular pipeline from text cleaning to a Gradio/Streamlit prototype

Fake Job Detector is a machine learning–based application designed to identify fraudulent job postings using Natural Language Processing (NLP) techniques.

Explainable Fake Job Posting Detection using NLP & Machine Learning

Fake Job Posting Detection using NLP, Deep Learning, and Streamlit

Internshield helps students and fresh graduates explore internships, training programs, and career opportunities and also determines whether spam or not. It focuses on skill development, practical learning, certifications, and industry exposure in fields like Data Analytics, AI, software development, and business.

AI-powered fake job posting detector using Random Forest, FastAPI, Streamlit, and TiDB Cloud analytics.

Fake Job Detection using NLP and Machine Learning with 98.6% accuracy.

Machine Learning project for detecting fake job postings using NLP, TF-IDF and Random Forest with a Streamlit web application.