A Study of AI-Driven Financial Inclusion and Sustainable Fintech Development in Dadar
Abstract Financial inclusion has become a key part of economic development and is essential for providing easy and low-cost access to financial services to individuals and businesses. From machine learning to AI-powered predictive analytics, AI-driven tools like robo-advisory platforms, biometric authentication, and chatbots have improved financial institutions' access to previously unreached groups. The use of digital payment systems, mobile banking apps, and AI-powered financial platforms has helped raise awareness and participation in the formal financial system, particularly in urban areas like Dadar, Mumbai. The present study aims to explore the position of AI in financial inclusion for promoting sustainable advancement of FinTech in Dadar. This study aims to shed light on how AI technologies enable financial accessibility, overcome operational challenges, enhance customer engagement, and drive sustainable financial growth. Trends and developments in the financial sector are analyzed using secondary information from government reports, publications of Reserve Bank India, industry reports on FinTech, research articles and statistical databases. The results indicate that AI-driven financial services have incremented the efficiency of transactions, cut the cost of services, strengthened the fraud prevention process, and broadened access to banking services for a variety of user groups. Moreover, the sustainable development of FinTech has also led to economic empowerment, financial literacy, and financial resilience. The study concludes that AI-driven financial inclusion is a critical element in driving sustainable FinTech growth in Dadar, and holds tremendous potential to enhance the financial ecosystem by providing innovation, accessibility, and responsible technological advancements.
Authors
- CA Pravin Pawar
- CA Dr. Vijay Satra
- CS Gopalkrishna Chodnekar
Institutions
- SVKM's Narsee Monjee College of Commerce and Economics (IN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-09-28
- DOI
- https://doi.org/10.5281/zenodo.23020053
- Primary Topic
- FinTech, Crowdfunding, Digital Finance
- Type
- article
- Field-Weighted Citation Impact
- 0.00