AI CHAT BOT FOR ONLINE BANKING ASSISTANCE

Authors

  • K. NANI MANOJ Author
  • K. VELANGINI SIRISHA RANI Author
  • K. VENKATA GANESH Author
  • P. MANIKANTA Author
  • K. KSHERRAJA Author
  • T. TEJASWI Author

DOI:

https://doi.org/10.62647/ijitce.2025.v13.i2.pp274-281

Keywords:

Development, Conversational, Transaction, Banking, Authentication, Confidentiality

Abstract

This project presents the development of a secure and user-friendly online banking platform integrated with a conversational chatbot for enhanced customer support. The backend of the platform is built using Django, a robust web framework for rapid and scalable development. The platform provides essential banking features such as account management, fund transfers, transaction history, and bill payments.
To improve user engagement and support, an intelligent chatbot powered by Natural Language Processing (NLP) techniques is integrated into the platform. The chatbot assists users in real-time by answering queries, providing transaction details, guiding users through banking processes, and handling simple service requests. NLP models are trained to understand various banking-related intents and user inputs in natural language, making the interactions intuitive and efficient. Robust authentication and encryption to ensure the confidentiality and integrity of user data. A user-friendly interface for viewing account details and managing transactions.
Real-time query handling and process guidance through a chatbot. Intent recognition and context-aware responses for accurate query handling. Comprehensive tools for managing user accounts, transactions, and bot analytics. The project aims to enhance user experience, minimize customer service workload, and ensure secure and efficient online banking operations. The implementation of Django provides scalability and maintainability, while NLP-driven chatbot functionality offers a seamless and modern banking experience.

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Published

17-04-2025

How to Cite

AI CHAT BOT FOR ONLINE BANKING ASSISTANCE. (2025). International Journal of Information Technology and Computer Engineering, 13(2), 274-281. https://doi.org/10.62647/ijitce.2025.v13.i2.pp274-281