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
For the full publication, please contact the author directly at: onyenmavictor4real@gmail.com
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Institutions
- Covenant University, Canaan Land, Ota, Ogun State 4
- Crawford University of Apostolic Faith Mission Faith City, Igbesa, Ogun State 2
- Crescent University, Abeokuta, Ogun State 1
- Cross Rivers University of Technology, Calabar, Cross Rivers State 144
- Delta State Polytechnic, Ogwashi-Uku, Delta State 14
- Delta State Polytechnic, Otefe, Delta State 13
- Delta State University, Abraka, Delta State 142
- Ebonyi State University, Abakaliki, Ebonyi State 18
- Edo University, Iyamho, Edo State 11
- Ekiti State University 61