An AI-Enabled Platform Facilitating Volunteer-Based Food Delivery, Specialized Nutritional Support, and Efficient Food Bank Donations

This paper presents a volunteer-driven delivery management app designed to handle realtime updates and data synchronization effectively [1]. The project addresses the challenge of managing delivery tasks in dynamic environments where multiple volunteers need to interact with data simultaneously [2]. Using Flutter and Firebase, the app provides a seamless interface for volunteers, ensuring secure authentication and consistent delivery updates [3]. Key experiments evaluated the system's reliability under concurrent update scenarios and varying network conditions. The findings indicate that the app maintains data integrity and usability despite network fluctuations, making it a dependable tool for coordinating food deliveries. The results emphasize the importance of robust backend systems in managing real-time volunteer-driven applications.

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Publication Details

Published
2025-02-22
DOI
https://doi.org/10.5121/csit.2025.150408
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
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article

An AI-Enabled Platform Facilitating Volunteer-Based Food Delivery, Specialized Nutritional Support, and Efficient Food Bank Donations

Zhiming Lin, Ang Li
AI in Service Interactions
article

An AI-Enabled Platform Facilitating Volunteer-Based Food Delivery, Specialized Nutritional Support, and Efficient Food Bank Donations

Zhiming Lin, Ang Li
article en

Abstract

This paper presents a volunteer-driven delivery management app designed to handle realtime updates and data synchronization effectively [1]. The project addresses the challenge of managing delivery tasks in dynamic environments where multiple volunteers need to interact with data simultaneously [2]. Using Flutter and Firebase, the app provides a seamless interface for volunteers, ensuring secure authentication and consistent delivery updates [3]. Key experiments evaluated the system's reliability under concurrent update scenarios and varying network conditions. The findings indicate that the app maintains data integrity and usability despite network fluctuations, making it a dependable tool for coordinating food deliveries. The results emphasize the importance of robust backend systems in managing real-time volunteer-driven applications.

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