FAKE NEWS DETECTION USING MACHINE LEARNING

Project Algorithm :

Natural Language Processing,

Project Overview :

Fake news has become a major threat to public discourse, elections, health campaigns, and even national security. With the rapid spread of false information on social media and websites, it is crucial to build systems that can automatically detect and classify news as real or fake. This project proposes a Fake News Detection System using Natural Language Processing (NLP) and Machine Learning techniques to analyze and predict the credibility of a news article based on its content. By training on a labeled dataset, the system learns linguistic patterns commonly found in fake news and accurately classifies new articles.

Reference Video : -