Counterfeit News Detection System

This paper introduces an innovative AI-based approach to detecting fake news, aiming to address its detrimental impact on society. The research integrates natural language processing (NLP), feature engineering, and advanced machine learning techniques to automatically identify deceptive news articles. By analyzing linguistic patterns and contextual cues, the system effectively distinguishes between authentic and misleading content. Deep learning models like recurrent neural networks (RNNs) and BERT are explored to enhance detection accuracy. Experimental evaluations on diverse datasets validate the system's effectiveness, demonstrating strong performance in precision, recall, and overall accuracy.