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Faculty Publications Summary Generator

Overview

The Faculty Publications Summary Generator is a web-based AI solution designed to automate the creation of publication summaries for faculty members. This tool streamlines the process of gathering, summarizing, and exporting academic publication data, particularly useful for Higher Education Institutions (HEIs) when submitting faculty profiles to accrediting bodies. The solution integrates multiple academic databases like Google Scholar, DBLP, and CrossRef, and utilizes DOIs to fetch accurate metadata, enabling users to generate customized publication records for a specific time period.

Problem Statement

Faculty members are required to showcase their research publications for various purposes, including profile building, accreditation, and institutional reporting. Gathering this information manually from different sources and formatting it for submission is time-consuming and prone to errors. This project addresses the need for a solution that can automate the retrieval of publication data and generate customized reports.

Features

  • DOI Implementation:
    • Fetches metadata such as titles, abstracts, and author details using DOIs from the CrossRef API.
  • Publication Summaries:
    • Summarizes publication abstracts using BART to create concise and meaningful overviews of research work.
  • Academic Database Integration:
    • Crawls Google Scholar and DBLP for publication records, with the ability to filter based on time period and faculty name.
  • Custom Queries:
    • Users can search and filter publications by specific time periods (e.g., year-wise or within a certain date range).
  • Multiple Export Options:
    • Generates Word and Excel files for journal and conference publications, providing a user-friendly exportable format for submission.

DOI Implementation

The solution utilizes DOIs to enhance the accuracy of the publication metadata retrieval process. When a user inputs DOIs, the system fetches essential information such as:

  • Title of the research paper
  • Full author names
  • Publication venue (journal/conference)
  • Abstract

Steps:

  1. The user inputs a DOI.
  2. The system queries the CrossRef API to retrieve metadata.
  3. The fetched metadata, including the abstract, is summarized using BART.
  4. Results are displayed and can be exported.

Tech Stack

  • Python: Backend language for logic and API integration.
  • Streamlit: For building the web interface.
  • CrossRef API: For retrieving DOI metadata.
  • Google Scholar/DBLP: For crawling academic databases.
  • BART (Hugging Face): For summarizing abstracts.

Screenshots

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Conclusion

The Faculty Publications Summary Generator provides an efficient solution to automate the collection, summarization, and export of academic publications. By using a combination of DOI-based retrieval, academic database crawling, and NLP-powered summarization, this tool simplifies the workflow for institutions and faculty members alike, ensuring seamless integration with accreditation processes.

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