JOURNAL ARTICLE

AN INTELLIGENT AND DATA-DRIVEN MOBILE VOLUNTEER EVENT MANAGEMENT PLATFORM USING MACHINE LEARNING AND DATA ANALYTICS

Wen1, Serena

Year: 2023 Journal:   Zenodo (CERN European Organization for Nuclear Research)   Publisher: European Organization for Nuclear Research

Abstract

In Lewis and Clark High School’s Key Club, meetings are always held in a crowded classroom. The system of event sign-up is inefficient and hinders members from joining events. This has led to students becoming discouraged from joining Key Club and often resulted in a lack of volunteers for important events. The club needed a more efficient way of connecting volunteers with volunteering opportunities. To solve this problem, we developed a VolunteerMatch Mobile application using Dart and Flutter framework for Key Club to use. The next steps will be to add a volunteer event recommendation and matching feature, utilizing the results from the research on machine learning models and algorithms in this paper.

Keywords:
Event (particle physics) Key (lock) Club Analytics Matching (statistics) Big data Event management

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Topics

Intuitionistic Fuzzy Systems Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Mobile and Web Applications
Physical Sciences →  Computer Science →  Information Systems
Big Data and Business Intelligence
Social Sciences →  Business, Management and Accounting →  Management Information Systems

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