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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Sofia AI based Chatbot |
| Authors Name: | Deep Mondal , Mani Kant Prasad , Prithwish Samanta , Alok Kumar Thakur |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_186008
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| Published Paper Id: | IJNRD2301138 |
| Published In: | Volume 8 Issue 1, January-2023 |
| DOI: | |
| Abstract: | A chat-bot is a software application that uses text or text-to-text to conduct an online chat conversation instead of providing direct contact with a live human agent. Designed to convincingly simulate the behavior of a human conversation partner. Designed to convincingly simulate how a human would behave as a conversational partner. In the proposed system, we presented a chatbot that generates a dynamic response to online client queries. The proposed system is based on an artificial intelligence-powered chatbot. The web-based platform offers a vast intelligent base that can be used to simulate human problem-solving. This proposed chatbot identifies the user context that triggers the specific intent for a response. Because it is a dynamic response, the desired response will be generated for the user. The proposed system learned the Chatbot by observing various user responses and requests using machine learning algorithms. After consulting 17 IEEE papers and 13 Standard papers, our research concluded that the strength of Chat-bot is that it can be used in a variety of fields in our daily lives. Nowadays, chat-bots are becoming increasingly robust as Artificial Intelligence assists the human touch in every conversation. Chat-bots understand the user's query and trigger an accurate response. The goal of this project is to demonstrate how chatbots can help an organization reduce its reliance on humans while also reducing the need for multiple systems for different processes. |
| Keywords: | Machine Learning , AI. |
| Cite Article: | "Sofia AI based Chatbot", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 1, page no.b323-b326, January-2023, Available :http://www.ijnrd.org/papers/IJNRD2301138.pdf |
| Downloads: | 000118748 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2301138 Registration ID: 186008 Published In: Volume 8 Issue 1, January-2023 DOI (Digital Object Identifier): Page No: b323-b326 Country: Haridwar, Uttarakhand, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2301138 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2301138 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
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