AI-Based Hybrid Fake News Detection System Using Machine Learning and NLP

This project pulls together machine learning and rule-based checks into one hybrid system for catching fake news. TF-IDF extracts features, Logistic Regression does the classifying, and the extra modules lock down accuracy and reliability. It tackles the big issues with older methods, handles ambiguous news better, and is fast enough to work on modern digital platforms.

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