Unified Banking Interface using Machine Learning and Blockchain for Credit Scoring and Smart Contracts

Mundie Patrick Kaweche*, Pempho Jimu**
*-** Department of Computer Science & Engineering, DMI-St. John the Baptist University, Lilongwe, Malawi.
Periodicity:April - June'2024
DOI : https://doi.org/10.26634/jse.18.4.20728

Abstract

Malawi's financial sector is embracing digital transformation to achieve greater financial inclusion and efficiency. Traditional credit scoring methods struggle with incomplete data, hindering access to credit. This paper proposes a unified banking interface that leverages blockchain technology, machine learning, and digital wallets. The interface will streamline credit assessment, facilitate secure lending, and promote financial inclusion. By linking bank accounts, creating virtual credit cards, and enabling smart contracts, this paper aims to build a more robust, efficient, and inclusive financial ecosystem in Malawi.

Keywords

Unified Banking Interface, Machine Learning, Blockchain, Credit Scoring, Smart Contracts, Financial Technology (FinTech), Data Security, Privacy.

How to Cite this Article?

Kaweche, M. P., and Jimu, P. (2024). Unified Banking Interface using Machine Learning and Blockchain for Credit Scoring and Smart Contracts. i-manager’s Journal on Software Engineering, 18(4), 28-37. https://doi.org/10.26634/jse.18.4.20728

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