Open AccessAn Intelligent and Data-Driven Mobile Platform for Youth Volunteer Management using Machine Learning and Data Analytics
Author(s) -
Serena Wen,
Yu Sun
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5121/csit.2021.111607
Subject(s) - club , computer science , key (lock) , analytics , matching (statistics) , event (particle physics) , artificial intelligence , world wide web , multimedia , data science , computer security , medicine , statistics , physics , mathematics , quantum mechanics , anatomy
In Lewis and Clark High School’s Key Club, meetings are always held in a crowded classroom. The system of eventsign up is inefficient and hinders members from joining events. This has led to students becoming discouraged fromjoining Key Club and often resulted in a lack of volunteers for important events. The club needed a more efficientway of connecting volunteers with volunteering opportunities. To solve this problem, we developed a Volunteer Match Mobile application using Dart and Flutter framework for Key Club to use. The next steps will be toadd a volunteer event recommendation and matching feature, utilizing the results from the research on machine learning models and algorithms in this paper.