MiSA - A System for a Microlending Service to Assist Edge Communities

Abstract

In this paper, we propose a distributed edge+cloud system to assist with microlending services to communities, with machine learning catered to that specific community. A combination of technologies including microservices-based architecture and blockchain technology coupled with machine learning is utilized to provide microfinancing services to help sustain businesses in a local community, and to enable the community to grow into a thriving economy. To minimize the widespread expressed risk, in our prototype, the prediction of whether a loan will default or not is based on the various decision-enabling parameters and on any available information about the borrowers' past transaction as well as aggregate metrics related to the community that the borrower resides in. The authors hope that the suggested distributed edge+cloud architecture in the paper can be leveraged for other emerging sustainable edge applications as well.