• Implemented a text summarizer that scraps and extracts the data from the required website.
• Provides a summarized text after scraping the data and performing different operations on extracted data like pre-processing, tokenization, lemmatization, TF-IDF scoring and finally presents the summary based on largest sentence scores.
(Tech stack: Python, Beautiful Soup, NLTK Library)