Community fund advisor

Abstract

The Community Fund Advisor (CFA) system is a software project comprised of two main modules namely the VSLA management information system and the TRO’s Administrative system. The purpose of the VSLA Management Information system is to store member portfolios, group reports, group activity details, and finances (Loans, savings withdraws). On the other hand, the purpose of the TRO’s Administrative system is to carry out reporting and monitoring in order to provide valuable and timely decision support to the TRO for effective fund allocation.

The Community Fund Advisor (CFA) system is designed to replace the existing manual system that basically does book-keeping and storage of hard copy files that are kept at the group’s chairman’s home in a metallic suitcase and carried to the venue of the meeting whenever they are needed. Initially, the TRO had no clear information to base on when recommending a group for the fund. With all these needs, the CFA comes in handy to tackle both management and decision-making challenges. The machine learning component of the CFA system has the ability to automatically improve experience and replicate the cognitive decision-making functions of the TRO through computational statistics. It is based upon an algorithm that selects training data to build a predictive futuristic model.