Virtual Banker at your Fingertips
Using Chatbot System
Ms.Pushpalatha M
Assistant Professor
Presidency university, Yelahanka,
Bengaluru, Karnataka, India
Ganashree. M
Department of ISE, SoE,
Presidency university, Yelahanka,
Bengaluru, Karnataka, India
maheshganashree@gmail.com
Nikhil. N
Department of ISE, SoE,
Presidency university, Yelahanka,
Bengaluru, Karnataka, India
nikhilnix84@gmail.com
Dhanush Gowda BM
Department of ISE, SoE,
Presidency university, Yelahanka,
Bengaluru, Karnataka, India
Dhanushgowda871@gmail.com
Karan R
Department of ISE, SoE,
Presidency university, Yelahanka,
Bengaluru, Karnataka, India
rkaran2825@gmail.com
Abstract -The Virtual Banker systemThrough AI-Powered chatbots, real-time announcements, and video call support, it will ensure an extremely smooth and interactive banking experience for its users. The improvements in this system include a responsive user interface with integration of AI and APIs to provide dynamically interactive responses and backend secure connectivity to fetch data in real time. This also includes the features dynamic announcement management, live escalation on chat, analytics-driven improvements, and more. Scalable, optimized performance, and robust security, the system is capable of offering a comprehensive digital banking solution.
The platform features interactive and AI-augmented learning tools to enhance the learning process. These tools include AI chatbots, word definition features, and content understanding mechanisms, allowing users to engage with complex concepts effectively. The integration of quizzes, Q&A sessions, and other testing formats reinforces learning and allows candidates to gauge their understanding of key topics.
This paper examines the implementation and impact of chatbot systems in the banking sector. It highlights their ability to provide 24/7 customer service, streamline routine banking operations, and enhance user experiences. Key benefits include cost efficiency for banks, reduced wait times for customers, and improved operational scalability. However, challenges such as data security concerns, customer resistance to AI, and the need for continuous technological upgrades remain significant barriers to widespread adoption.
Index Terms -Virtual banker, chatbot systems, artificial intelligence (AI) in banking, natural language processing (NLP), financial technology (FinTech), customer service automation, banking operations, transaction efficiency, digital banking solutions, machine learning in banking, AI-powered financial assistance, banking security and privacy, user experience in banking, predictive analytics in FinTech, and voice-enabled banking chatbots
