Chatbot for Interview
Vineet Agarwal1, Anjali Shukla2

1Vineet Agarwal*, System Engineer, Department of Life Science, Tata Consultancy Services, Mumbai (M.H), India.
2Anjali Shukla, MSCS, Illinois Institute of Technology, Chicago, Illinois, USA.
Manuscript received on 07 June 2022. | Revised Manuscript received on 12 June 2022. | Manuscript published on 30 July 2022. | PP: 46-49 | Volume-11 Issue-2, July 2022. | Retrieval Number: 100.1/ijrte.B70920711222 | DOI: 10.35940/ijrte.B7092.0711222
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The advent of virtual assistants has made communicating with computers a reality. Chatbots are virtual assistant tools designed to simplify the communication between humans and computers. A chatbot will answer your queries and execute a certain computation if required. Chatbots can be developed using Natural Language Processing (NLP) and Deep Learning. Natural Language Process technique like Naïve bayes can be used. Chatbot can be implemented for a fun purpose like chit-chat; these are called Conversational chatbots. Chatbots designed to answer any questions is known as horizontal chatbots and the specific task-oriented chatbots are known as vertical chatbots (also known as Closed Domain Chatbots). In this paper, we will be discussing a task-oriented chatbot to help recruitment team in the technical round of interview process. 
Keywords: Closed domain chatbot, Interview Process, Naïve bayes, Natural Language Processing.
Scope of the Article: Natural Language Processing