🕵️‍♂️ Fake Job Posting Detector (AI + NLP)

This project detects whether a job posting is REAL or FAKE / FRAUDULENT using Natural Language Processing and Machine Learning.

✨ Features

• Takes raw job description text as input
• Cleans and processes text using NLP
• Uses TF-IDF features + Logistic Regression
• Trained on the Kaggle Real/Fake Job Posting Prediction dataset
• Simple Streamlit web app interface

🧠 Tech Stack

• Python 3
• Pandas, NumPy
• Scikit-learn (TF-IDF, Logistic Regression)
• Streamlit (Web App)
• Joblib (Model saving)
• Kaggle dataset: fake_job_postings.csv

📂 Project Structure

fake-job-detector/
├── app_streamlit.py       # Streamlit web app
├── train_model.py         # Model training script
├── nlp_utils.py           # Text cleaning utilities
├── data/
│   └── fake_job_postings.csv
├── Models/
│   ├── fake_job_model.pkl
│   └── tfidf_vectorizer.pkl
├── requirements.txt
└── .gitignore