UNCW MS Computer Science Information Systems Proceedings



Feed Cape Fear-Empowering Communities Through Comprehensive Engagement and Food Distribution


Madhava Muli


Kevin Matthews (Chair)
Curry Guinn
Avinash Geda


Abstract

In the active Cape Fear region where a strong community encounters technology innovation, "Feed Cape Fear" is aimed at developing an online platform for essential food distribution and community connection in the Cape Fear area. This online platform goes beyond the conventional models by combining all three facets of food distribution, multistakeholder collaboration, and volunteerism in a dynamic virtual environment. Powered by the desire to make certain that no person in the community remains without food, this project utilizes geolocation features, real-time communication tools, and intuitive user experience. The idea behind “Feed Cape Fear” is a community where local organizations, corporations and even individuals come together to meet the challenges, providing not only sustenance but also a true sense of home. The platform allows collaboration, communication, and coordination among these stakeholders to meet the supply demand of food resources through integration of corporate social responsibility initiatives as well as providing emergency response capabilities. The platform also improves the user experience and volunteerism as the users can post and view volunteering opportunities using pictures or videos, so that they are visually engaging ways of interacting with the community to make some impact. This abstract gives a glimpse of the strategic development and technological approach of the “Feed Cape Fear,” so that the reader would continue to study the comprehensive proposal to gain a deeper understanding for this transformative initiative which will shape the community involvement and eliminate hunger in the Cape Fear region.


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Recommended Citation: Muli M., Matthews K., Guinn C., Geda A., (2024). Feed Cape Fear-Empowering Communities Through Comprehensive Engagement and Food Distribution. UNCW MS CSIS Proceedings. V. 18 , N. 5 .