Evently-AI-Powered College Event Management System
Authors
Centre for Distance and Online Education, Parul University, Vadodara (India)
Centre for Distance and Online Education, Parul University, Vadodara (India)
Centre for Distance and Online Education, Parul University, Vadodara (India)
Centre for Distance and Online Education, Parul University, Vadodara (India)
Centre for Distance and Online Education, Parul University, Vadodara (India)
Centre for Distance and Online Education, Parul University, Vadodara (India)
Article Information
DOI: 10.51584/IJRIAS.2026.110200158
Subject Category: Social science
Volume/Issue: 11/2 | Page No: 1699-1709
Publication Timeline
Submitted: 2026-02-24
Accepted: 2026-03-02
Published: 2026-03-23
Abstract
The Evently-AI-Powered College Event Management System is a web-based platform designed to modernize how academic institutions plan, manage, and evaluate college campus events. College event planning can be time consuming and based on manual data processing, which can lead to scattered and broken communication at various stages. These outdated methods lead to delays, miscommunication and limited outreach for organizers and participants. Evently addresses the limitations of traditional, manual event coordination.
The proposed system centralizes event-related tasks, minimizes administrative workload, and enhances student engagement through an intuitive, AI-supported interface. It offers role-based dashboards for administrators, faculty, and students, enabling each group to access functions specific to their responsibilities. Key features include event proposal workflows, participant registration, feedback collection, real-time analytics, and media sharing. AI integration will further strengthen the platform through personalized event recommendations and a chatbot assistant for event discovery. Through this platform, users will be able to quickly register online and navigate through current or future events, sign up for the events and get timely reminders, making it efficient and accessible for both students and administrators.
The research carried out for this project employed following key strategies: background research and literature review to identify key gaps in the existing systems, technical research, system development, data collection and analysis. Next, project planning, architecture development and system implementation were executed. The end result-Evently-was user-tested both from admin and user side. The technology stack comprises Laravel for backend operations, ReactJS for a dynamic interface, and AI modules for chat and analytics. Overall, the system improves coordination, transparency, and decision-making within campus events. By automating routine tasks and taking advantage of data insights, colleges can promote increased student participation and operational efficiency by taking advantage of Evently, and while doing so, fundamentally shifting how events are managed on campus.
Keywords
AI-Powered System, College Event Management System
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References
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