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ZENODO
Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
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MailGenius-AI: An AI-Powered Email Management System for Efficient Communication

descriptionPublicationkeyboard_double_arrow_right Other literature type 16 Apr 2025Publisher:Zenodo
Authors: Sameeruddin Ansari, Mohd Arshad, Mohammad Asad, Yash Tripathi;

doi: 10.5281/zenodo.15226441 , 10.5281/zenodo.15226440

MailGenius-AI: An AI-Powered Email Management System for Efficient Communication

Abstract

MailGenius-AI is an intelligent email management system that leverages AI to read emails, generatesummaries, and auto-send messages. The system is designed using the MERN stack and integratesGoogle's API for seamless email processing. This paper discusses the development process, keychallenges, and potential applications of MailGenius-AI in personal and professional communication. 

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average