Question Answering with BERT

Question answering (QA) is a fundamental NLP task that involves answering questions posed in natural language. This project demonstrates how to build a question answering system using BERT and the SQuAD dataset.

The application includes a Streamlit interface for interactive question answering, as well as tools for visualizing attention weights and understanding model predictions.