AI BASED CHATBOT FOR BANKING SECTOR

Abstract

A banking chatbot is an interface powered by Al designed to engage with guests and offers services such as balance inquiries, fund transfers, bill payments, account management, investment assistance. It employs either intelligence or introductory tentative statements to identify keywords or expressions and give responses. While Al chatbots have gained popularity in the banking sector for a range of reasons, similar, as enhancing client support and service addressing asked questions (FAQs) being24/7 furnishing sale backing and history icing authentication and security measures, as well as helping new guests set up their accounts and guiding them through the onboarding process. From our analysis it has been discovered that chatbot systems presently used in the banking sector have limitations. One of these limitations is their capacity to comprehend natural language queries and give responses. The primary ideal of banking chatbots is to insure client service and also enhancement of both bank and its workers. Natural Language Processing(NLP),Machine Literacy ways, including Support Vector Machine(SVM) and the Naive Bayes Classifier(NB) are used to comprehend and instantly respond to natural language queries directly. latterly we will develop a frontal end operation to enhance the interface between guests and the bank icing an stoner experience. In summary exercising NLP and Machine literacy, the Bank Chatbot shows implicit, in enhancing client service and streamlining banking operations within the assiduity.