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Research-Paper-Recommendation-Software

Building a Recommendation System for research papers. Used LDA model to classify papers into topics and LSTM to predict future Topics. Extracted various features from text Data and used MCDA Technique to recommend best papers.

Scraped Data from Google Scholar to create Database. Connected MySQL Database to store User Data and their search History.
Made the web application of the Reccomender system using Flask.

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This Software Recommends Research Papers to users based on their History. The web application is built using Flask. Also used MySQL database for Data Storage.

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