Research_Paper.pdf (379.85 kB)
Download fileTowards an Intelligent Personalized Persuasive Conversational System for Human Interaction on Divining the Future Event and Assisting by Using Artificial Intelligence
preprint
posted on 2021-06-08, 14:47 authored by Sweta SharmaSweta Sharma, Saumya Pathak, Saumya SrivastavaIn the next wave of
insurgence, humans may endeavour self-reflection which can lead to an effortless
talk and to find out if an event will fructify. Training the system on how to
make accurate prognostication with the help of machine learning and statistical
models can lead to an intelligent personalized conversational system. The Chatbot
industry is ever-growing and after the COVID-19 pandemic and rigorous lockdowns
all around the world, people have realized the importance of human interaction
in their lives. We are developing this model to create a more intimate
relationship between the system and humans. For this purpose, many open-source
platforms are available. Artificial Intelligence Markup Language (AIML) is
derived from Extensible Markup Language (XML) which is used to build up a
conversational agent artificially. The success of this project will help the
model in observing and understanding human emotions which will ultimately help
it to form a more personalized relationship to delineate the future course of
events.
History
Email Address of Submitting Author
sh.sweta.xt@bbdnitm.ac.inORCID of Submitting Author
0000-0002-2915-0139Submitting Author's Institution
BBD National Institute of Technology and ManagementSubmitting Author's Country
- India