iwinosaomodia-cyber/African-job-detection

Machine learning project to detect real vs fake African job posting # African-job-detection Machine learning project to detect real vs fake African job posting Overview A machine learning project that detects whether African job postings are real or fake. Built to help job seekers avoid scams and highlight the risks of fraudulent offers. # Dataset - File: african_job_postings.csv - 50 rows (25 real, 25 fake) - Columns: title, description, requirements, label # How to Run - Install dependencies from requirements.txt - Open african_job_detection.ipynb - Run cells to train and test the model # Results - Logistic Regression model trained on the dataset - Confusion matrix and classification report included - Example predictions show the model can detect scam postings # Future Work - Expand dataset with more postings - Try advanced models (Random Forest, XGBoost, BERT) - Deploy as a web app for job seekers # Created by Iwinosa — helping African job seekers stay safe from scams.