A Comprehensive Survey on Mobile-based Resource Sharing Platforms for Sustainable Neighbourhoods using Artificial Intelligence

Authors

  • Prof. Ranjana Singh

DOI:

https://doi.org/10.34257/LJRCST227256UK

Keywords:

community platform, data security, firebase, flutter, IoT integration, Mobile application, resource sharing, trust management, usability

Abstract

Effective sharing of local resources, tools, everyday goods, and skills can change daily life. However, current peer-to-peer (P2P) systems, the majority of the time, struggle with user engagement, supply-demand mismatch, and a lack of trust. This paper surveys these models and introduces a mobile-centric sharing app using Flutter and Firebase. The design features user authentication, location-based discovery, and an in-app negotiation module with a rating system for reliability. Prototype tests show responsive interactions averaging under two seconds. Role-based access control and encrypted data exchanges address security concerns. This survey demonstrates how intelligent local platforms can optimize assets, minimize waste, and enhance community resilience.

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A Comprehensive Survey on Mobile-based Resource Sharing Platforms for Sustainable Neighbourhoods using Artificial Intelligence

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Published

2026-06-11

How to Cite

A Comprehensive Survey on Mobile-based Resource Sharing Platforms for Sustainable Neighbourhoods using Artificial Intelligence. (2026). London Journal of Research In Computer Science and Technology, 26(1), 42-44. https://doi.org/10.34257/LJRCST227256UK