Automated System for Validating Beneficiaries and Safeguarding Government Resources

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Automated System for Validating Beneficiaries and Safeguarding Government Resources

R. Mythili, S. Nivenitha Sri, P. Sapna

Guide: S.J Deebak, Assistant Professor

Vivekanandha College of Engineering for Women, Tiruchengode

ABSTRACT Government welfare programs and resource distribution initiatives often face challenges related to fraudulent claims, inefficiencies, and misallocation of funds due to manual beneficiary validation processes. To address these issues, an automated system for validating beneficiaries and safeguarding government resources is essential. This system leverages advanced technologies such as artificial intelligence (AI), machine learning (ML), and biometric authentication to enhance accuracy, security, and efficiency. By integrating real-time data verification, cross-referencing with government databases, and AI- driven fraud detection mechanisms, the system significantly reduces the risk of unauthorized claims and ensures that resources reach the intended recipients. Additionally, automation minimizes human errors, accelerates processing times, and enhances transparency in public service delivery. This research explores the architecture, implementation, and impact of such an automated system, highlighting its role in improving governance, optimizing resource allocation, and preventing financial losses due to fraudulent activities. The study further discusses challenges in system adoption, including data privacy concerns and technological integration, and suggests future advancements for better scalability and effectiveness.

INDEX TERMS Digital government, digital transformation, government resource validation, biometric authentication.

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