Nadaf, Ebad I. and Kand, Sudarshan S. and Waghmare, Siddhi D. and Patwa, Aditi A. and Pimpalkar, Aarti P. and Patil, Vijaya S. (2025) MailGlance: A web-based system for summarizing email content using AI. International Journal of Science and Research Archive, 15 (2). pp. 869-878. ISSN 2582-8185
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Abstract
Email remains one of the most commonly used communication tools in schools, colleges, and workplaces. However, many people receive more emails than they can comfortably read, which leads to information overload and lost productivity. MailGlance is a simple web application that connects to Gmail and uses Natural Language Processing to turn long email threads into short, easy-to-understand summaries. Additionally, it can sort the emails based on their importance to help users prioritize their reading effectively. The main goal is to save users time while ensuring they grasp the key points of each message. In this paper, we describe the motivation behind the project, the related work, the complete system design, implementation details, security considerations, cost-saving techniques, and an evaluation plan based on both automatic metrics and human studies. Our work is meant to be easy to reproduce by other students and hobbyists. The language in this paper is therefore intentionally simple, avoiding heavy academic jargon while still covering all essential technical concepts.
Item Type: | Article |
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Official URL: | https://doi.org/10.30574/ijsra.2025.15.2.1447 |
Uncontrolled Keywords: | Email Summarization; Natural Language Processing; Artificial Intelligence; Information Overload; Text Summarization; MailGlance |
Depositing User: | Editor IJSRA |
Date Deposited: | 25 Jul 2025 15:20 |
Related URLs: | |
URI: | https://eprint.scholarsrepository.com/id/eprint/1917 |