Implementation of Real-Time Scoring System for Instant Loan Approval (case Study of Nelfund)

Student: Shafiu Auwal (Project, 2025)
Department of Computer Science
Modibbo Adama University, Yola, Adamawa State

Abstract

This project titled “Implementation of a Real-Time Credit Scoring System for Instant Loan Approval (A Case Study of NELFUND)” presents the design and development of an automated credit scoring platform aimed at enhancing efficiency, transparency, and fairness in loan approval processes. The system was implemented using Node.js and integrated with a database for real-time decision making. The evaluation showed improved loan processing speed, reduced human error, and increased accessibility compared to traditional methods

Keywords
real-time scoring system instant loan approval NELFUND credit scoring loan automation financial technology fintech loan approval system credit risk assessment
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