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
Google Scholar
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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 :
- https://www.ijraset.com/best-journal/banking-bot
- Mishra, A., & Tripathi, A. (2020). Artificial Intelligence in Banking: The Changing Landscape. International Journal of Financial Studies, 8(4), 56.
- Radziwill, N., & Benton, M. (2017). Evaluating Quality of Chatbots and Intelligent Conversational Agents. Journal of Artificial Intelligence Research, 60, 33-63.
- Guo, L., Ding, X., & Liang, C. (2021). Machine Learning Applications in Banking and Finance: A Review. IEEE Access, 9, 123456-123468.
- Arner, D. W., Barberis, J., & Buckley, R. P. (2016). The Evolution of FinTech: A New Post-Crisis Paradigm? Georgetown Journal of International Law, 47, 1271.
- Jurafsky, D., & Martin, J. H. (2021). Speech and Language Processing (3rd ed.). Pearson.
- McKinsey & Company. (2021). AI in Banking: The Next Frontier of Automation.
- Adamopoulou, E., & Moussiades, L. (2020). An Overview of Chatbot Technology. Journal of Artificial Intelligence Research, 69, 130-153.
- Goldberg, Y. (2017). Neural Network Methods for Natural Language Processing. Synthesis Lectures on Human Language Technologies, 10(1), 1-309.
- West, J., & Bhattacharya, M. (2016). Intelligent Financial Fraud Detection: A Comprehensive Review. Computers & Security, 57, 47-66.
- https://docs.djangoproject.com/en/stable/
- https://www.tensorflow.org/
- 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.