AI-Enabled Academic Conference Management System

Ranjit Reddy Midde, Geetha Seri Lingala, Hemalatha Dubasi, Gayathri Mangala, Prashanth Kumar Reddy Pullaiahgari

2025

Abstract

Academic conferences play a vital role in fostering knowledge sharing and collaboration among researchers and experts. However, managing these events involves complex tasks such as paper submission, peer review, scheduling and communication which are often inefficiently handled. Existing methods and systems show significant limitations such as inconsistent reviewer assignments, reliance on manual sorting of papers and limited interaction between authors and reviewers. These issues make the conference process less efficient. Addressing these issues, AI-enabled Academic Conference Management System aims to overcome these challenges by using machine learning techniques such as Support Vector Machines, K-Nearest Neighbors and Random Forest to automatically classify research papers by domain and assign reviewers based on domain expertise. Additionally, it introduces organized feedback mechanisms via email and supports direct author-reviewer collaboration through video conferencing to facilitate the review process. The system reduces manual effort by automating paper classification, ensuring accurate matches, user-friendly interface enables faster workflows and a more efficient review process.

Paper Citation

in Harvard Style

Midde R., Lingala G., Dubasi H., Mangala G. and Pullaiahgari P. (2025). AI-Enabled Academic Conference Management System. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 328-334. DOI: 10.5220/0013927800004919

in Bibtex Style

@conference{icrdicct`2525,
author={Ranjit Midde and Geetha Lingala and Hemalatha Dubasi and Gayathri Mangala and Prashanth Pullaiahgari},
title={AI-Enabled Academic Conference Management System},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={328-334},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013927800004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - AI-Enabled Academic Conference Management System
SN - 978-989-758-777-1
AU - Midde R.
AU - Lingala G.
AU - Dubasi H.
AU - Mangala G.
AU - Pullaiahgari P.
PY - 2025
SP - 328
EP - 334
DO - 10.5220/0013927800004919
PB - SciTePress