Chatbot for Banking Sector Using NLP and ML

This study focuses on chat bots, which are intelligent machines that can understand users’ questions in natural language and respond correctly in a dialog. When using it, users experience communication more like they are speaking with a real person, more like a virtual assistant (Omofowa et al., E-banking service quality and customer satisfaction: evidence from deposit money bank in South-South Nigeria. Webology vol 18, special issue on computing technology and information management, 2021). They are able to react to questions and communicate in our language. Inadequate agents typically require an extended period to handle a single request at banks, customer service centers, and inquiry desks, wasting time and degrading the quality of customer care. This chatbot’s main goal is to enable clients to converse by asking inquiries in plain English and then getting appropriate answers in response. The suggested solution would assist in emulating the customer care experience while still attending to and resolving the customer’s inquiries (Aparaj et al., ICAICTE 2013 international conference on advanced information communication technology in engineering, 2013), with the difference that the consumer would be chatting with a bot instead of a human. It may ease daily living by providing solutions for help desks, telephone answering machines, and customer service centers (Aruna et al., Int J Res Appl Sci Eng Technol, 2022). The architecture, methodology, and dataset that we produced from the FAQ sections of bank websites are all described in this article (Kulkarni et al., IRJET Int Res J Eng Technol 04:611, 2017).