Computational Models for Intelligence and Automation
API-Driven E-Governance: Accelerating Digital Transformation in the Public Sector
Authors: Vikas Mendhe and Roshan Mahant
Publishing Date: 28-08-2025
ISBN: 978-81-975670-1-8
Abstract
E-governance has become a transformative approach to improving transparency, efficiency, and accessibility in public administration, but challenges like system integration and realtime citizen services persist. Traditional monolithic and systems lack scalability, interoperability, and responsiveness to the evolving demands of digital citizens, limiting their effectiveness. This study explores API-driven architectures as solutions to these challenges, enabling interoperability, scalability, and innovative service delivery. The study addresses key challenges like data privacy and security, proposing solutions such as auth-based authentication and role-based access control. A case study based API-based e-governance platform, developed and simulated in Python, integrates services such as citizen identification, tax filing, and grievance redressal under a unified framework. Performance is evaluated on service delivery speed, data integrity, and citizen satisfaction.
Keywords
API-driven e-governance, digital transformation, public sector, interoperability, scalability, data security, system resilience, modular architecture, service delivery, open data initiatives
Cite as
Vikas Mendhe and Roshan Mahant, "API-Driven E-Governance: Accelerating Digital Transformation in the Public Sector", In: Puneet Kumar Gupta (eds), Computational Models for Intelligence and Automation, SCRS, India, 2025, pp. 1-13. https://doi.org/10.56155/978-81-975670-1-8-1