NeuroGuard Fake News Detection is an advanced AI-powered platform designed to combat the spread of misinformation in digital media. Built on cutting-edge Natural Language Processing techniques, our system analyzes linguistic patterns, structural features, and semantic content to distinguish between credible journalism and fabricated narratives.
The platform employs an ensemble of machine learning algorithms including Logistic Regression, Random Forest, and Support Vector Machines, combined with 17 statistical linguistic features to achieve robust classification performance. Every prediction is accompanied by an explainable AI breakdown, highlighting the specific linguistic triggers that influenced the decision.
Developed as a production-ready Flask application with SQLAlchemy ORM, the system features secure user authentication, session management, batch processing capabilities, and a fully responsive dashboard interface.