Paragraph Text Summarizer

This project is a paragraph text summarizer that generates concise summaries from user input text. It was developed using Python and natural language processing techniques with the NLTK library. The system performs sentence tokenization stopword removal and word frequency based scoring to identify the most important sentences in a paragraph. The summarizer works without using any external APIs and provides quick accurate results through a simple web interface built using Flask.