Banking Bot for Automated Operations and Customer Support


Authors : N V Murali Krishna Raja; J Satya Pavan; K Tarun Kumar; M Karthik; P Hema Vamsi; M Naveen; V Sai Sathwik

Volume/Issue : Volume 10 - 2025, Issue 4 - April


Google Scholar : https://tinyurl.com/2s4es4wr

Scribd : https://tinyurl.com/4ur3affv

DOI : https://doi.org/10.38124/ijisrt/25apr658

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Abstract : This project introduces an AI-powered Banking Bot that automates banking tasks and improves customer support. It uses Artificial Intelligence (AI) and Machine Learning (ML) to handle important functions like money transfers, balance inquiries, account creation, and PIN generation. By automating these processes, the system ensures faster, more accurate, and reliable banking with minimal human involvement while maintaining strong security measures for transactions. Beyond automation, the bot also acts as a virtual assistant, helping customers navigate banking services, answer questions, and resolve common issues. With Natural Language Processing (NLP), it understands user queries naturally, making interactions smooth and user-friendly. By combining automation and real-time support, the Banking Bot offers a seamless 24/7 banking experience, meeting customer needs while improving efficiency. This technology transforms traditional banking, making it more secure, accessible, and personalized.

Keywords : AI-powered Banking Bot, Banking Automation, Natural Language Processing (NLP), Real-time Assistance, Transaction Security, User-friendly Interaction, Data Privacy.

References :

  1. https://www.ijraset.com/best-journal/banking-bot
  2. Mishra, A., & Tripathi, A. (2020). Artificial Intelligence in Banking: The Changing Landscape. International Journal of Financial Studies, 8(4), 56.
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  4. Guo, L., Ding, X., & Liang, C. (2021). Machine Learning Applications in Banking and Finance: A Review. IEEE Access, 9, 123456-123468.
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  6. Jurafsky, D., & Martin, J. H. (2021). Speech and Language Processing (3rd ed.). Pearson.
  7. McKinsey & Company. (2021). AI in Banking: The Next Frontier of Automation.
  8. Adamopoulou, E., & Moussiades, L. (2020). An Overview of Chatbot Technology. Journal of Artificial Intelligence Research, 69, 130-153.
  9. Goldberg, Y. (2017). Neural Network Methods for Natural Language Processing. Synthesis Lectures on Human Language Technologies, 10(1), 1-309.
  10. West, J., & Bhattacharya, M. (2016). Intelligent Financial Fraud Detection: A Comprehensive Review. Computers & Security, 57, 47-66.
  11. https://docs.djangoproject.com/en/stable/
  12. https://www.tensorflow.org/
  13. https://pytorch.org/

14. https://www.weforum.org/reports/ai-in-financial-services

This project introduces an AI-powered Banking Bot that automates banking tasks and improves customer support. It uses Artificial Intelligence (AI) and Machine Learning (ML) to handle important functions like money transfers, balance inquiries, account creation, and PIN generation. By automating these processes, the system ensures faster, more accurate, and reliable banking with minimal human involvement while maintaining strong security measures for transactions. Beyond automation, the bot also acts as a virtual assistant, helping customers navigate banking services, answer questions, and resolve common issues. With Natural Language Processing (NLP), it understands user queries naturally, making interactions smooth and user-friendly. By combining automation and real-time support, the Banking Bot offers a seamless 24/7 banking experience, meeting customer needs while improving efficiency. This technology transforms traditional banking, making it more secure, accessible, and personalized.

Keywords : AI-powered Banking Bot, Banking Automation, Natural Language Processing (NLP), Real-time Assistance, Transaction Security, User-friendly Interaction, Data Privacy.

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