%0 Journal Article %1 noauthororeditor %A Wen, Serena %D 2023 %E Sun2, Yu %J The International Journal of Ambient Systems and applications(IJASA) %K learning machine %N 3/4 %P 17 %T An intelligent and data-driven mobile volunteer event management platform using machine learning and data analytics %U https://aircconline.com/ijasa/V9N4/9421ijasa01.pdf %V 9 %X 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.

@article{noauthororeditor, 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.}, added-at = {2023-07-19T14:29:26.000+0200}, author = {Wen, Serena}, biburl = {https://www.bibsonomy.org/bibtex/2bdffde7194da004da36fe5790d5daac4/ijasa_journal}, description = {Club meetings for LC Key Club [15] have always been held in a crowded classroom. The upcoming volunteer events would usually be written on the whiteboard, and members always had to jostle our way around each other just to reach the single event sign-up sheet. If someone missed a meeting, there was a low chance that they could find out what the events were or even get a chance to sign-up for them. Members missing meetings often resulted in low volunteer numbers for certain opportunities that needed as many people helping out as possible. Key Club needed a more efficient system that would allow members to easily view and sign-up for whichever volunteering opportunities were coming up. It would benefit both the events our club members volunteered at by providing more volunteers and also giving club members greater opportunities. }, editor = {Sun2, Yu}, interhash = {8063218eb1dd095faf60def65e041945}, intrahash = {bdffde7194da004da36fe5790d5daac4}, journal = {The International Journal of Ambient Systems and applications(IJASA)}, keywords = {learning machine}, month = {12}, number = {3/4}, pages = 17, timestamp = {2023-07-19T14:29:26.000+0200}, title = {An intelligent and data-driven mobile volunteer event management platform using machine learning and data analytics}, url = {https://aircconline.com/ijasa/V9N4/9421ijasa01.pdf}, volume = 9, year = 2023 }