Proceedings of the International Conference on Intelligent Information Systems Design and Indian Knowledge System Applications (ICISDIKSA 2026)

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AI-Powered Email Summarization and Assistant System for Internship and Job Offer Management using LLMs

Authors
T. S. M. Sudara1, *, S. Revathi2, V. Muthupriya3, R. Akila4
1B. Tech AI and DS, B.S.A Crescent University, Chennai, India
2Professor, Department of CSE, B.S.A Crescent University, Chennai, India
3Associate Professor, Department of CSE, B.S.A Crescent University, Chennai, India
4Associate Professor, Department of CSE, B.S.A Crescent University, Chennai, India
*Corresponding author. Email: sudharshinisudara@gmail.com
Corresponding Author
T. S. M. Sudara
Available Online 29 December 2025.
DOI
10.2991/978-94-6463-976-6_15How to use a DOI?
Keywords
Email summarization; Internship offer extraction; AI assistant; Resume matching; LLMs; Deadline detection; Gmail automation; RAG chatbot
Abstract

As students and other professionals become so dependent on email for internship and job opportunities, managing the confusing and unstructured communication becomes quite a challenge. This research presents an AI-backed email assistant that leverages large language models (LLMs) to convert unstructured email body and attachment contents into clear, concise summaries and structured data representations. It extracts essential information in JSON, classifies emails by intention—for instance, internship, job, or other—matches resume against job postings, and then provides an RAG-based conversational chatbot for user queries. An interactive dashboard is also provided for major due dates and offers comparison. In evaluations, our LLM-based summarizer achieved substantially higher relevance than template methods, and combined extraction showed improved overall precision. Simulated user tests demonstrate 65%-time savings in email triage and decision-making, proving the potential of unified AI assistance in career email handling. The system successfully identifies and triages internship/job offers with over 90% accuracy, significantly improving user decision- making speed.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Intelligent Information Systems Design and Indian Knowledge System Applications (ICISDIKSA 2026)
Series
Advances in Intelligent Systems Research
Publication Date
29 December 2025
ISBN
978-94-6463-976-6
ISSN
1951-6851
DOI
10.2991/978-94-6463-976-6_15How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - T.  S. M. Sudara
AU  - S. Revathi
AU  - V. Muthupriya
AU  - R. Akila
PY  - 2025
DA  - 2025/12/29
TI  - AI-Powered Email Summarization and Assistant System for Internship and Job Offer Management using LLMs
BT  - Proceedings of the International Conference on Intelligent Information Systems Design and Indian Knowledge System Applications (ICISDIKSA 2026)
PB  - Atlantis Press
SP  - 216
EP  - 227
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-976-6_15
DO  - 10.2991/978-94-6463-976-6_15
ID  - Sudara2025
ER  -