Enhance AI Based Net Banking Chatbot System
Vikaskumar k
Abstract: This project focuses on the development of a banking bot powered by artificial intelligence algorithms to analyze user queries and provide appropriate responses. Utilizing RASA NLU for natural language processing and Flask for web framework, the system aims to enhance user experience in accessing banking-related information and services. The bot understands queries in various formats, employs graphical representation for interaction, and includes features like ATM and branch locators for comprehensive assistance.
Introduction: In the modern era of digital banking, customer service and accessibility are paramount. To address these needs, this project introduces a banking bot equipped with advanced artificial intelligence capabilities. By harnessing natural language processing techniques, the bot interprets user queries in real-time and delivers tailored responses, thereby streamlining the user experience and enhancing customer satisfaction.
Problem Statement: Traditional banking services often involve time-consuming processes and limited accessibility, hindering seamless interactions between customers and banks. Furthermore, navigating through complex banking information can be challenging for users, leading to frustration and inefficiency. The lack of personalized assistance exacerbates these issues, highlighting the need for an intelligent solution to address user queries effectively and efficiently.
Objective: The primary objective of this project is to develop a sophisticated banking bot that leverages artificial intelligence to understand and respond to user queries comprehensively. By employing advanced natural language processing techniques, the bot aims to provide seamless access to banking-related information and services, thereby enhancing user satisfaction and engagement. Additionally, the project seeks to integrate features such as ATM and branch locators to offer users a holistic banking experience.
