Fake News Detection & Classification System

Developed an end-to-end machine learning solution for detecting misinformation in digital news content using natural language processing techniques. The project involved large-scale text preprocessing, feature extraction through vectorization, and supervised classification to distinguish between legitimate and fake news articles. The system achieved high predictive accuracy by transforming unstructured textual data into meaningful numerical representations. This project demonstrates the application of AI to combat misinformation, enhance content credibility, and support responsible digital communication.