Event Planning Platform Powered by Artificial Intelligence

This study aims to develop an event management system, a web-based application that makes use of a digital event management planning system. EMS enables the customers to organize events on a single console, removing the need to travel to a different console and therefore making the process more convenient. There are four strategies to conduct the research which are technical research, EMS development, mixed method data collection, and data analysis. In addition, this study also presented the system architecture, project plan and implementation of the EMS. Then, the EMS has been tested and allows the user to pick the day and time of the event, as well as the location and event equipment, among other things. And then browse various hotel venues and book one that meets their needs, as well as browse various food catering services and book from them. They may check on the availability of party decorators and DJs and make appropriate appointments. Prior to making any bookings, the consumer may study the company's ratings, pricing, and sample work. by 2 users in both client and admin side

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-04-07
DOI
https://doi.org/10.22214/ijraset.2025.68325
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Event Planning Platform Powered by Artificial Intelligence

Tushar Kumar Maurya
International Journal for Research in Applied Science and Engineering Technology
Big Data and Business Intelligence
article

Event Planning Platform Powered by Artificial Intelligence

Tushar Kumar Maurya
article en

Abstract

This study aims to develop an event management system, a web-based application that makes use of a digital event management planning system. EMS enables the customers to organize events on a single console, removing the need to travel to a different console and therefore making the process more convenient. There are four strategies to conduct the research which are technical research, EMS development, mixed method data collection, and data analysis. In addition, this study also presented the system architecture, project plan and implementation of the EMS. Then, the EMS has been tested and allows the user to pick the day and time of the event, as well as the location and event equipment, among other things. And then browse various hotel venues and book one that meets their needs, as well as browse various food catering services and book from them. They may check on the availability of party decorators and DJs and make appropriate appointments. Prior to making any bookings, the consumer may study the company's ratings, pricing, and sample work. by 2 users in both client and admin side

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(4)
Openalex Percentile: Top 90%
Big Data and Business Intelligence
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Event Planning Platform Powered by Artificial Intelligence — Tushar Kumar Maurya · International Journal for Research in Applied Science and Engineering Technology (2025) | TGRS Research Map | TGRS