Sentiment Analysis utilizes web scraping from Amazon.in, applies machine learning with XGBoost for sentiment classification, and integrates it into a Django-based system. It aims to provide accurate sentiment analysis of product reviews, allowing users to make informed decisions based on the sentiment scores assigned to each product.