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ABSTRACT
This project suggests the implementation of a specialized Machine Learning-Based Textual Document Analyzer to solve increasing difficulties faced by scholars and researchers in moving through and obtaining valuable information from piles of academic research papers. The goalsfor the project are related to creating a powerful instrument able not only to handle user prompts but also extracting information accurately and allowing easy interaction with research documents. These projected outcomes include a specially designed tool that besides facilitating the extractionof critical information from scholarly articles also improves overall efficiency in research. This project can help a lot in research methodologies by coming up with an effective and convenient solution to the problem of information overload that people especially researchers are accustomed to in today’s academia
