In this project, I have built a book recommender system that summarizes reviews and ratings off of Amazon and helps one pick the best (DS) for onself.
Functionality:
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Performs EDA for simple questions which still don't entirely fint tune the recommendation process
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Usage of K-Means Clustering and tfidf vectorization to get titles of books clustered with the interest of common themes
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Usage of BeautifulSoup to scrape reviews off of Amazon
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Summarization of reviews using BERT summarizer