Sphere : Smart Event Management Platform with Real-Time Updates and Seamless Collaboration
Abstract
An integrated solution remains essential to handle stakeholder management problems in large-scale events because both real-time data and secure payment systems are missing in current operations. Through the MERN (MongoDB, Express.js, React.js, Node.js) stack this paper demonstrates an Event Management Platform which combines e-commerce capabilities and real-time tracking system capabilities. This platform provides optimized user interactions for clients and vendors alongside administrators because it simplifies event management tasks. The paper demonstrates how the platform functions through its methodology while explaining its system
architecture and essential features.
Keywords:
Event management, Real Time tracking, E Commerce, Mern Stack, User Experience
Published
Issue
Section
License
Copyright (c) 2025 International Journal on Emerging Research Areas
This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Ansamol Varghese, Anoushkha Tresa, Athira John, Ignatious Ealias Roy, M S Gautham Sankar, A Machine Learning Approach to Fake News Detection , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Sebin Thomas, John VG, Josin Chacko, Mariyam Shajahan, Sharon Sunny, PPT GENERATION FROM REPORT , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Athira Sankar, Sajishma S R, Alan Raj, Vaishnavi A K, Reshmi S Kaimal, Hydro Sense: Empowering Water Quality Monitoring Through IoT And ML , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Aron Thomas , Abhinav B Kannanthanam , Elzabeth Bobus , Adhil Salim , Elizabeth Jullu , R Neenu, A Hybrid SQL Query Execution Model for JSON Data: Balancing Resource Efficiency and Analytical Performance , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Amina Manaf , Ance Maria Joseph , Angel Joy , Anjaly Anilkumar , K S Rekha, Driver Drowsiness Detection Using Python , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Adona Shibu, Aarunya Retheep, Albin Joseph, Ali Jasim, Adona Shibu , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- George P Kurias, Gokul Krishna AU, Jifith Joseph, Sharunmon R, Linsa Mathew, A Review of Methodologies for Detecting Missing and Wanted People Using Machine Learning and Video Surveillance , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Mekha Jose, Jocelyn Anthony, Jose V Joseph, Joshwa Thomas, Sharon Baby Thomas, A Review of Machine Learning and Deep Learning Approaches for Offensive Text Detection , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Adithya Satheesh, Ashwin S Nair, Darren Padamittam Jacob, Athul Rajeev, Er. Maheshwary Sreenath, Intrusion Countermeasure System , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Arya Raj S, R Gopika Krishnan, Drishya Das, Rohith R, Jocelyn Ann Joseph, Personality Profiling Using CV Analysis , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
You may also start an advanced similarity search for this article.