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Towards an Intelligent Personalized Persuasive Conversational System for Human Interaction on Divining the Future Event and Assisting by Using Artificial Intelligence

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posted on 08.06.2021, 14:47 by Sweta SharmaSweta Sharma, Saumya Pathak, Saumya Srivastava
In 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.in

ORCID of Submitting Author

0000-0002-2915-0139

Submitting Author's Institution

BBD National Institute of Technology and Management

Submitting Author's Country

India