This project is a machine learning pipeline for detecting fake news articles using TF-IDF vectorization and Logistic Regression, with LIME (Local Interpretable Model-Agnostic Explanations) to explain predictions with highlights on what skews the final result towards REAL or FAKE. This project is a big success with an accuracy score of 99%.