Artificial Machine Intelligence Language for Banking Chatbot

Year : 2024 | Volume : 14 | Issue : 03 | Page : 8 13
    By

    Avdhut Mirkale,

  • M.G. Pallewar,

  • Soniya Mahangade,

  • Chaitrali Mulay,

  1. Student, Department of Electronics and Telecommunication, Smt. Kashibai Navale College of Engineering (SKNCOE), (Affiliated to Savitribai Phule Pune University (SPPU), Pune, Maharashtra, India
  2. Assistant Professor, Department of Electronics and Telecommunication, Smt. Kashibai Navale College of Engineering (SKNCOE), (Affiliated to Savitribai Phule Pune University (SPPU), Pune, Maharashtra, India
  3. Student, Department of Electronics and Telecommunication, Smt. Kashibai Navale College of Engineering (SKNCOE), (Affiliated to Savitribai Phule Pune University (SPPU), Pune, Maharashtra, India
  4. Student, Department of Electronics and Telecommunication, Smt. Kashibai Navale College of Engineering (SKNCOE), (Affiliated to Savitribai Phule Pune University (SPPU), Pune, Maharashtra, India

Abstract

The developed system introduces a banking chatbot utilizing Artificial Intelligence Markup Language (AIML) to enhance customer interactions within the banking sector. With the increasing demand for efficient customer service and the adoption of automated systems, chatbots have emerged as a pivotal solution for banks to streamline operations and improve user experience. The proposed banking chatbot leverages state-of-the-art natural language processing (NLP) algorithms powered by AIML to interpret user queries, provide real-time assistance, and execute banking transactions seamlessly. Through the integration of AIML, the chatbot demonstrates advanced capabilities in understanding complex user intents, engaging in meaningful conversations, and adapting responses based on context. Additionally, the banking chatbot employs strong security protocols to protect confidential user data and adhere to regulatory requirements. The chatbot’s ability to handle a wide range of banking operations, from balance inquiries to fund transfers, significantly reduces the need for human intervention, thereby reducing operational costs and enhancing service efficiency. Additionally, the chatbot is designed to be scalable and customizable, allowing banks to tailor its functionalities according to their specific requirements. Offering round-the-clock support, the banking chatbot enhances customer satisfaction while also fostering customer loyalty and trust. Its integration into the banking ecosystem represents a significant step towards the digital transformation of financial services, offering a seamless, secure, and efficient customer experience.

Keywords: Chatbot, AIML, RasaNLU, ChatterBox, NLP, banking

[This article belongs to Journal of Communication Engineering & Systems ]

How to cite this article:
Avdhut Mirkale, M.G. Pallewar, Soniya Mahangade, Chaitrali Mulay. Artificial Machine Intelligence Language for Banking Chatbot. Journal of Communication Engineering & Systems. 2024; 14(03):8-13.
How to cite this URL:
Avdhut Mirkale, M.G. Pallewar, Soniya Mahangade, Chaitrali Mulay. Artificial Machine Intelligence Language for Banking Chatbot. Journal of Communication Engineering & Systems. 2024; 14(03):8-13. Available from: https://journals.stmjournals.com/joces/article=2024/view=171868


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Regular Issue Subscription Review Article
Volume 14
Issue 03
Received 03/07/2024
Accepted 27/08/2024
Published 12/09/2024
313

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