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 model that fetches this similarity from user prefernces and a content based filtering approach.It has the following functionalities :
- Login/Register page
- Research engine
- Profile page
- Project upload page (in building stage)
- User Topic segment
We will soon be launching it with new updates