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Jemilat Yusuf's Projects

library-recomender icon library-recomender

This System identifies and compares two library integrated softwares (Koha-Opac & mylibrary) using users feedback. Feeback was scraped from Google play store for two apps and used as our datasets. Data Visualization was implemented with word cloud and we got the subjectivity and polarity of the reviews.

skincare-project icon skincare-project

This is a content-based model that allows a user input a particular skincare product and recommends Five(5) similar products to users based on their chemical composition. This work was developed using TruncatedSVD and T-SNE to generate feature matrices and cosine similarities of ingredients composition

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