Design and Implementation of an Ai-Powered Credit Scoring System for Loan Approval

Student: Victor Onyenma (Project, 2025)
Department of Computer Science
Nigeria Army Institute of Tech and Environmental Studies,makurdi,benue State

Abstract

This project introduces an AI-Powered Credit Scoring System to improve financial inclusion in Nigeria, addressing the exclusion of over 38 million unbanked or underbanked adults due to traditional credit scoring limitations. Utilizing alternative data (e.g., mobile usage, utility payments, transactions), the system employs the XGBoost algorithm for real-time credit assessments. It is implemented with React.js for the interface, Python (Flask) for the backend, and PostgreSQL for data management, featuring a web platform and mobile app.

Keywords
AI credit scoring system loan approval machine learning artificial intelligence financial technology risk assessment predictive analytics credit risk automation
Filters
Institutions