Conventional AI Chatting Robot
M. Vinodhini1, Umang Sharma2, Shubham Mishra3, Sai Harshith Kumar4
1M.Vinodhini*, Assistant professor of Information Technology in SRM IST Ramapuram, Tamilnadu, India.
2Umang Sharma, Department of Information Technology, SRM IST Ramapuram, Tamilnadu, India.
3Shubham Mishra ,Department of Information Technology, SRMIST Ramapuram , Tamilnadu , India.
4Sai Harshith Kumar, Department of Information Technology, SRMIST Ramapuram , Tamilnadu , India.
Manuscript received on February 28, 2020. | Revised Manuscript received on March 22, 2020. | Manuscript published on March 30, 2020. | PP: 5538-5540 | Volume-8 Issue-6, March 2020. | Retrieval Number: F9547038620/2020©BEIESP | DOI: 10.35940/ijrte.F9547.038620
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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: In This era of innovative world, an emerging technology called Chat Bot is in huge demand as it’s is Customer experience in the future and the opportunity in the not too distant future to substitute search windows and many apps; ChatBot is a technology that communicates with people automatically by supplying them with details about your company and notifications directly through your messaging system.. ML allows the bot to learn itself without programming whereas NLP gives the bot an ability to understand human speech or text. ChatBot is an additional and new way for people to interact with your business more effectively. The answers are given by a ChatBot through a mix of predefined scripts and machine learning. Current chatbots are significantly complex because of the sophisticated underlying software and the data it accesses. We are building a Multilingual Chatbot as it engages users in their native language and boosts conversions.
Keywords: NLP, Machine Learning, Speech analysis, Text processing, NLG.
Scope of the Article: Machine Learning.