Go-Serve: a smart volunteer registration and event hub

Abd Rahim, Muhammad Haziq and Abdul Rahman, Norlyana Nabilah Noorkhairudin and Jamaludin, Siti Rabiah and Zaihan, Nur Najwa Ayuni and Abdul Razak, Muhammad Faiz Hafizi and Noradzan, Haslinda (2025) Go-Serve: a smart volunteer registration and event hub. In: International Undergraduate Research, Innovation, Invention and Design (I-URIID) 2025: e-Book of Extended Abstracts. Universiti Teknologi MARA, Negeri Sembilan, pp. 63-65. ISBN 9786299595366
Abstract

Go-Serve, a smart application for volunteer registration and event hub, is designed to support the growing awareness and attention of volunteerism in the community. Charity events and activities hosted by nonprofit organisations, student clubs, and community organisations catch people's interest to be part of as volunteers. However, aspiring volunteers have difficulties finding suitable events due to the dispersed channels of information for different events. Same goes for the organizers of the events, as they don't have a centralised platform to advertise their upcoming events and recruit potential volunteers due to limited communication, access, and visibility. Therefore, Go-Serve aims to bridge the gap between organisations and volunteers by offering a centralised platform that delivers solutions, utilising the latest mobile application technology. The app provides features that connect volunteers to the events that suit their interests, knowledge, skills, and location. Main features included in the app, such as in-app registration, user profiles, calendars, reminders, and activity tracking, are presented with a clean and easy navigation user interface. Additional smart features, such as real-time event listings, an analytic dashboard, location-based recommendations, a feedback mechanism, and in-app messaging services, enhanced the accessibility and encouraged continuous involvement for future activities. A cloud-hosted NoSQL database, Firebase Realtime Database utilises the real-time data captured by the app, and with integration to a Google machine learning framework, TensorFlow Lite achieves higher personalisation and smart responsiveness. With a systematic and visible platform, Go-Serve may significantly foster volunteerism events and activities, thus contributing a positive impact on the community.

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