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World Journal of Advanced Research and Reviews
Article . 2025 . Peer-reviewed
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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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A Survey on Event Ease: Easy event scheduling for busy people

Authors: Soppari, Kavitha; Ramavath, Shiva; Donthula, Vinay; Mangalagiri, Sriranga Sheshasai;

A Survey on Event Ease: Easy event scheduling for busy people

Abstract

In a world of hybrid work environments, personal scheduling is becoming extremely important, traditionally done calendars do not account for group availability and task dependencies, Event Management Scheduling proposes an AI driven platform that automates event scheduling through intelligent problem resolution, availability checking and predictive analytics. It allows organizers to create events and send invitations to users who choose their preferred times. The system works by responding answers and determining the best time, afterwards, each participant’s calendar gets updated automatically. It is built on JavaScript, Tailwind CSS, and React.js for the responsive interface, Node.js serves as the backend logic, and real-time data is managed through Firebase. Scheduling is done smoothly using Google Calendar's API and efficient communication between frontend and backend is done through RESTful APIs. To improve collaboration and streamline the scheduling process, users are notified through real-time message pop-ups about any changes made.

Keywords

Java Script, Tailwind CSS, RESTful APIs, Firebase, Nodejs, Reactjs, Google Calendar API

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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
Green
gold