Project write-up for a classifier that assesses the authenticity of news articles using an LSTM-based deep learning model.
Status: Write-up only — the implementation notebook/scripts are being migrated into this repository. Treat this as a project summary rather than a finished codebase.
Approach: Preprocess and tokenize article text, train an LSTM network over the embedded sequences, and classify each article as real or fake based on learned patterns in language and structure.
Tools: Python, TensorFlow, Keras.
Author: Rishabh Singh