International Journal For Multidisciplinary Research

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Bridging India's Financial Divide: The Power of Artificial Intelligence and Machine Learning

Author(s) Subroto Das
Country India
Abstract Artificial Intelligence (AI) and Machine Learning (ML) are transforming India's financial sector, enhancing decision-making, risk assessment, and personalized services. They extend financial services to underserved populations through scalable solutions like digital lending and mobile banking, fostering financial inclusion and bridging urban-rural gaps. Notable progress has been made through initiatives like the Pradhan Mantri Jan Dhan Yojana (PMJDY), which opened over 53 crore accounts by August 2024. However, challenges such as low literacy rates, inadequate digital infrastructure, and a large informal economy persist.

AI and ML address financial inclusion gaps by automating KYC processes and improving onboarding through facial recognition and identity verification. Initiatives like Aadhaar provide digital identities, enhancing access to banking. ML algorithms expand financial access by analyzing alternative data for credit scoring. Companies like Lenddo and Tala leverage ML for loans, and AI revolutionizes fraud detection by analyzing transaction data in real-time.

AI integration with digital payment platforms like UPI has transformed India's financial ecosystem, processing over 15 billion transactions monthly by August 2024 (NPCI). AI-driven micro-lending platforms like Capital Float and Aye Finance address a $380 billion credit gap (BCG) by assessing creditworthiness using alternative data. AI-driven chatbots and financial products tailored to rural customers improve financial literacy and services.

In agricultural finance, AI introduces lending models and enhances crop insurance through satellite data and weather patterns. Programs like PMFBY and companies like Skymet use AI for faster claims processing. AI-driven solutions in RegTech simplify compliance and improve fraud detection. Fintech collaborations and government initiatives like IndiaStack, Aadhaar, and DigiLocker promote financial inclusion. Overcoming barriers like infrastructure challenges, data privacy concerns, and AI bias is essential for leveraging AI to provide equitable financial services in India. The constructive interaction between AI and blockchain further enhances financial inclusion, creating a secure, transparent ecosystem that drives economic growth and social well-being.
Keywords Financial Inclusion, Artificial Intelligence, Machine Learning
Published In Volume 6, Issue 5, September-October 2024
Published On 2024-10-31
Cite This Bridging India's Financial Divide: The Power of Artificial Intelligence and Machine Learning - Subroto Das - IJFMR Volume 6, Issue 5, September-October 2024. DOI 10.36948/ijfmr.2024.v06i05.29801
DOI https://doi.org/10.36948/ijfmr.2024.v06i05.29801
Short DOI https://doi.org/g8p2rf
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