With an efficient implementation of NLP algorithm, we are able to analyze the text similarity of website content and extract valuable information from the result, which will then be used to help us identify the exact category this website falls into more accurately.

For the main body of our extension, we use Flask framework to build up the overall structure and connect each components together. As the bridge between the actual websites and our algorithm, Flask takes the role of retrieving the summarized text and transferring them to the back end.