Human Centred AI for Inclusive Microfinance: A Data Driven Model for Women’s Credit Empowerment and Macroeconomic Upliftment

Artificial Intelligence (AI)-powered microfinance framework has been specifically designed to cater for the needs of women in rural India. The model integrates microeconomic behaviour analytics, macroeconomic simulation using Computable General Equilibrium (CGE) models, and machine learning techniques like Random Forest and Extreme Gradient Boosting (XGBoost) to recommend optimal loan amounts, assess credit risk, and predict empowerment outcomes. By leveraging empirical evidence from global and Indian contexts—including Self Help Group (SHG) case studies, Financial Technology (FinTech) innovation, and algorithmic fairness tools—this framework aims to enhance women's transparency, inclusion, and long-term socio-economic upliftment. There has been an emphasis on practical applicability, interpretability, and policy relevance for inclusive financial systems.

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Publication Details

Journal
RESEARCH HUB International Multidisciplinary Research Journal
Published
2025-06-20
DOI
https://doi.org/10.53573/rhimrj.2025.v12n6si.003
Primary Topic
Microfinance and Financial Inclusion
Type
article
Field-Weighted Citation Impact
0.00
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article

Human Centred AI for Inclusive Microfinance: A Data Driven Model for Women’s Credit Empowerment and Macroeconomic Upliftment

S. Suman, Sneha Kumari, Vaibhav Chaudhary
RESEARCH HUB International Multidisciplinary Research Journal
Microfinance and Financial Inclusion
article

Human Centred AI for Inclusive Microfinance: A Data Driven Model for Women’s Credit Empowerment and Macroeconomic Upliftment

S. Suman, Sneha Kumari, Vaibhav Chaudhary
article en

Abstract

Artificial Intelligence (AI)-powered microfinance framework has been specifically designed to cater for the needs of women in rural India. The model integrates microeconomic behaviour analytics, macroeconomic simulation using Computable General Equilibrium (CGE) models, and machine learning techniques like Random Forest and Extreme Gradient Boosting (XGBoost) to recommend optimal loan amounts, assess credit risk, and predict empowerment outcomes. By leveraging empirical evidence from global and Indian contexts—including Self Help Group (SHG) case studies, Financial Technology (FinTech) innovation, and algorithmic fairness tools—this framework aims to enhance women's transparency, inclusion, and long-term socio-economic upliftment. There has been an emphasis on practical applicability, interpretability, and policy relevance for inclusive financial systems.

RESEARCH HUB International Multidisciplinary Research JournalVol. 12(6)
Magadh University (IN), Government of Spain (ES), Central University of South Bihar (IN)
Decent work and economic growth
Openalex Percentile: Top 79%
Microfinance and Financial Inclusion
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