CONVESATIONAL AI FOR FINANCIAL SERVICES

Authors

  • 1 Mohan, 2 M Sharma, 3 M Umamaheshwari, 4 M Navya, 5 P Yogeswar Author

DOI:

https://doi.org/10.62643/

Abstract

The rapid advancement of Artificial Intelligence has significantly transformed the financial services sector by enabling smarter, faster, and more personalized customer interactions. This project presents the design and development of a Conversational AI system for financial services that provides intelligent and automated assistance to users through natural language communication. The system utilizes Natural Language Processing (NLP), Machine Learning (ML), and chatbot technologies to understand customer queries and generate accurate, context-aware responses in real time. The proposed system functions as a virtual financial assistant capable of performing various banking and financial operations such as balance inquiries, transaction history retrieval, loan and EMI information, account management support, and basic financial guidance. By integrating AI-driven conversational capabilities with a secure backend database, the system simulates real-world banking services and ensures smooth interaction between users and financial institutions. The chatbot is designed with a user-friendly interface that can be accessed through web-based platforms, providing customers with 24/7 support without requiring direct human intervention. The system also improves operational efficiency by reducing response time, minimizing workload on customer support staff, and enhancing customer satisfaction through instant and reliable assistance.

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Published

12-06-2026

How to Cite

CONVESATIONAL AI FOR FINANCIAL SERVICES. (2026). International Journal of Engineering Research and Science & Technology, 22(2(1), 2385-2395. https://doi.org/10.62643/