From Public Infrastructure to Intelligent Infrastructure: A Study of India’s DPI and Its Enhancement through Artificial Intelligence and Machine Learning
1Mrs. Shruti Pant, 2Mrs. Snehal Mahajan, 3Mrs. Shital Pazare
1Assistant Professor, 2Assistant Professor, 3Assistant Professor
1Artificial Intelligence and Machine Learning,
1Thakur College of Engineering and Technology, Mumbai, India
Abstract : Digital Public Infrastructure (DPI) of India has emerged as a globally recognized framework for building inclusive, scalable, and citizen-centric digital ecosystems. Designed on the principles of openness, interoperability, resilience, affordability, and accessibility, DPI aims to bring together foundational digital platforms namely Aadhaar for identity authentication, Unified Payments Interface (UPI) for instant payments, DigiLocker for secure document storage, CoWIN for large-scale public health coordination, the Open Network for Digital Commerce (ONDC) for decentralization of e-commerce, and the Account Aggregator framework for financial data sharing which is consent-driven [1]–[5]. Together, these components form an integrated digital backbone capable of supporting trusted identity verification, real-time financial transactions, secure data exchange, efficient welfare distribution, decentralized marketplaces, and transparent delivery of public services.
This paper employs a structured research methodology combining literature review, policy analysis, technical architecture evaluation, and real-world use-case assessment. Our findings highlight DPI’s transformative social and economic impact, including increased financial inclusion, improved access to government services, reduction in transaction friction, and enhanced transparency in welfare distribution [1], [3], [4], [9], [10]. Past studies have also shown that DPI initiatives significantly improve administrative efficiency and digital participation across communities [6], [9].
The evidence suggests that DPI not only strengthens governance efficiency but also encourages innovation by enabling private and public sector entities to build compliant solutions on shared digital rails [3], [6]. In this paper, we further explore how AI and ML can act as force multipliers for DPI. AI-driven analytics can enhance fraud detection, facilitate verification processes, support personalized public services, improve digital health diagnostics, and strengthen predictive policy-making [7], [12], [15]. Ethical considerations—including privacy, algorithmic fairness, transparency, and responsible AI deployment—are also examined, echoing concerns raised in existing DPI literature [6], [7].
Overall, this study shows that when integrated with AI, DPI holds significant potential to evolve into an intelligent, adaptive, and globally scalable model for digital governance, capable of shaping a futuristic digital public ecosystem.
