Server-Based Universal Bank Chatbot

DOI

10.2991/978-94-6463-252-1_54How to use a DOI?

Keywords

chatbot; bank; python; universal; machine learning

Abstract

A chatbot is an artificial intelligence (AI) system that mimics human-like conversations through text chat or voice commands. It can be integrated into messaging applications to provide customer service and support, and many companies across various industries have implemented Chatbots to interact with their customers. However, creating and maintaining a personalized Chatbot can be a complex task that requires a team of Machine Learning experts and a dedicated server that operates continuously. To overcome this challenge, the paper proposes a Universal Chatbot hosted on a server, which can be accessed by multiple companies through a secure pin. Universal Chatbot is designed to have all the necessary features and capabilities that a company would require, making it easily integrable with their existing applications using the server's IP address and login credentials. Additionally, companies can individually personalize the system to meet their specific requirements, and the system updates itself through its machine learning process, providing updated responses. The Universal Chatbot system utilizes a Random Forest machine learning algorithm with an accuracy rate of 92.0%, making it a reliable and efficient solution for companies to provide customer service and support. By implementing the Universal Chatbot, companies can benefit from a streamlined and cost-effective solution that requires only the integration of the Universal Chatbot with their existing applications.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Siddharth Bhorge
AU  - Paras Palli
AU  - Sourabh Landage
AU  - Akshay Parase
AU  - Ritik Nawale
PY  - 2023
DA  - 2023/11/09
TI  - Server-Based Universal Bank Chatbot
BT  - Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)
PB  - Atlantis Press
SP  - 516
EP  - 525
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-252-1_54
DO  - 10.2991/978-94-6463-252-1_54
ID  - Bhorge2023
ER  -