A research paper recommender system built with ML algorithms and designed by pleasant UI/UX . This project contains a wide variety of tech stack namely React, Next JS, Tailwind CSS, Firebase, Flask, Python, Figma and a number of ML libraries to build an efficient model that recommends Top 10 papers. These recommendations are based on a hybrid m…
☆18Apr 2, 2024Updated last year
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