To create an AI system capable of detecting fake news by analyzing content, context, and source credibility using NLP and deep learning algorithms.
Collect datasets of real and fake news articles.
Preprocess text data using NLP techniques (tokenization, stemming, embeddings).
Train deep learning models (LSTM, CNN, Transformers) for fake news detection.
Implement web interface to analyze and classify news articles.
Evaluate model accuracy, precision, and recall on test datasets.
Test system on live news sources to detect misinformation.
Document methodology, model performance, and improvements
