Fake News Detection

Team capstone for the NTI AI for Business track: built a fake news classifier where each member independently

built and iterated across the full pipeline – preprocessing, feature engineering, and modeling – converging on a

shared final solution.

• Best-performing approach: TF-IDF feature extraction with classical ML (Random Forest), achieving ~96% accuracy

on the test set.