ARCHIVES
Events Hub AI Driven Event Management System
¹Assistant Professor, Department of Information Technology, Er. Perumal Manimekalai College of Engineering. Hosur, Tamil Nadu, India. ²,³,⁴,⁵ Department of Information technology, Er Perumal Manimegalai College of Engineering, Hosur, Tamilnadu, India.
Published Online: March-April 2025
Pages: 08-12
Cite this article
↗ https://www.doi.org/10.59256/ijsreat.20250502002Events Hub is an AI- driven event management platform designed to automate and optimize event planning, execution, and post- event analytics. By integrating advanced technologies such as AI- driven recommendations, real-time data processing, role-based access control, and blockchain-secured ticketing, Events Hub addresses inefficiencies in traditional event management systems. The platform streamlines event creation, participant registration, ticketing, payment processing, and administrative oversight through a centralized dashboard. Key features include AI-powered scheduling, real-time engagement analytics, fraud detection, and scalable cloud infrastructure. Future enhancements include IoT-driven venue analytics and NLP chatbots for attendee support.
Related Articles
2025
AI-Driven Conversational Models for Supporting Migrant Career Guidance and Labour Market Integration: A Scoping Review
2025
A Scalable System Design for Real-Time Personalized Recommendation Engines in E-Commerce
2025
AI-Powered Career Advisor (A Personalized Career Guidance System)
2025
Events Hub AI Driven Event Management System
2025
Elevating Work with Intelligent Precision (Masyo.Ai)
2025
Performance Analysis of Single Stage and Boost Assisted PV Grid Connected Systems
2025
Power Quality Enhancement and Stability Improvement in A Standalone Photovoltaic-Battery Energy Storage System for Reliable Renewable Power Supply
2025
Comprehensive Performance Analysis of a Standalone Wind Energy System with Battery Storage and Optimized Inverter Control
2025
Analysis of Power Factor Improvement in Renewable energy system
2025
Election Prediction using Machine Learning


