International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 166 - Number 11 |
Year of Publication: 2017 |
Authors: Kiner B. Shah, Mohit S. Shetty, Darshan P. Shah, Rajni Pamnani |
10.5120/ijca2017914140 |
Kiner B. Shah, Mohit S. Shetty, Darshan P. Shah, Rajni Pamnani . Approaches towards Building a Banking Assistant. International Journal of Computer Applications. 166, 11 ( May 2017), 1-6. DOI=10.5120/ijca2017914140
Banking process has been very complicated since years. People often want to enquire about bank’s policies on the bank counter and since the policies are sometimes confusing, it takes time for them to understand the policy and thus, the process. This paper presents two approaches - one using Natural Language Processing techniques and other using AIML, a popular language for building chatbots - for building banking assistant which can solve people’s queries and also carry out certain banking tasks, thus avoiding loss of efficiency and loss of precious time of the people. The paper is aimed at providing interface to the users which enables communication for solving their queries and completing their tasks, thus saving their time and reducing any possible confusion.