• Somya Agarwal
• Pratik Lohar
• Arpit Menaria

In the academic domain, maintaining an up-to-date, concise summary of faculty research publications is a critical yet often neglected task. This project presents a Publications Summary Generator using Python, aiming to automate the extraction, classification, and summarization of research publications from various sources such as Google Scholar, Scopus, or local datasets. The tool generates structured summaries for individual faculty profiles to facilitate institutional reporting, research assessments, and online visibility. The system uses web scraping, Natural Language Processing (NLP), and data visualization libraries to produce automated outputs. This paper discusses the system architecture, development methodology, implementation details, and the effectiveness of the tool in real academic scenarios.

PUBLICATIONS SUMMARY GENERATOR FOR FACULTY MEMBERS PROFILE BUILDING

"PUBLICATIONS SUMMARY GENERATOR FOR FACULTY MEMBERS PROFILE BUILDING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 6, page no.333-335, June-2025, Available :http://www.jetir.org/papers/JETIRGW06054.pdf

"PUBLICATIONS SUMMARY GENERATOR FOR FACULTY MEMBERS PROFILE BUILDING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 6, page no. pp333-335, June-2025, Available at : http://www.jetir.org/papers/JETIRGW06054.pdf