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Global Journal of Engineering and Technology Advances
International Peer reviewed Engineering Journal || Crossref DOI || Impact Factor 8.6 || ISSN: 2582-5003

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Research & review articles are invited for publication in September 2026 (Vol. 28, Issue 3) || Submission: up to 28th September || Editorial decision: within 48 hrs.

AI-Driven Biometric Solutions: Revolutionizing Financial Inclusion for Undocumented Populations

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  • AI-Driven Biometric Solutions: Revolutionizing Financial Inclusion for Undocumented Populations

Prakash Manwani *

San Jose State University, USA.
 
Research Article
Global Journal of Engineering and Technology Advances, 2025, 23(03), 125-130.
Article DOI: 10.30574/gjeta.2025.23.3.0189
DOI url: https://doi.org/10.30574/gjeta.2025.23.3.0189
Received on 28 April 2025; revised on 05 June 2025; accepted on 07 June 2025
 
 
Financial exclusion persists as a global challenge affecting unbanked adults worldwide, particularly in developing economies. AI-powered biometric identification systems offer transformative solutions by providing secure, verifiable digital identities. The IncluPay system demonstrates successful implementation in refugee settings, enabling secure humanitarian aid distribution while maintaining minimal fraud rates. The integration of advanced machine learning algorithms with alternative data sources establishes creditworthiness for individuals lacking traditional documentation. This technological innovation combines offline processing capabilities, blockchain security, and privacy-preserving computation to serve marginalized populations effectively, setting new standards for inclusive financial technology solutions.
 
Biometric Authentication; Financial Inclusion; Digital Identity; Refugee Finance; Humanitarian Technology
 
https://gjeta.com/sites/default/files/fulltext_pdf/GJETA-2025-0189.pdf

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Prakash Manwani. AI-Driven Biometric Solutions: Revolutionizing Financial Inclusion for Undocumented Populations. Global Journal of Engineering and Technology Advances, 2025, 23(3), 125-130. Article DOI: https://doi.org/10.30574/gjeta.2025.23.3.0189

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