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We took Eliza one step further, by providing the user with recommendations that coincide with how they are feeling. We use the BeautifulSoup library and WebScraper to pull data from the web to use for our recommendation list.
For example if a user suggest they are happy, then the database would pull media resources that go hand in hand with being happy. Media resources configure of just books as for now, but we are planning are adding movies and tv shows. If a user suggest they are depressed the system would essentially provide them with a media recommendation to cheer them up.
Recommendations will configure of the title, author, and price for the book. The book suggestions will come from Books a Million. The book suggestions will be sorted by genera types.