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With a chatbot, users may ask questions and receive answers in the same way as they would from a human. Right now, Alexa and SIRI are the most well-known voice chatbots. Nevertheless, chatbots have been embraced and integrated into the frequent use of the computer chat platform on a daily basis. NLP also makes it possible for algorithms and computers to comprehend human interactions across a variety of languages. Natural language processing is now much more accurate and efficient thanks to recent developments in machine learning, which makes chatbots a practical choice for a lot of businesses. Much more research is being conducted as a result of this advancement in NLP, which should continue to increase chatbot effectiveness in the years to come.
A bot is trained on certain rules, and it responds to queries in accordance with the training. The term for it is "ruled-based approach." Artificial Intelligence Markup Language (AIML) is the language that can be used to develop these bots. It is an XML-based language that lets the developer create the guidelines that the bot will adhere to. We are attempting to comprehend these chatbots and their drawbacks in this research work. query or statement that a user submits, giving them authority over the stuff that appears.
Keywords:
Voice-based chatbot, Python, BARD API, Integration, User Experience, Accessibility
Cite Article:
"Voice Based Chatbot Using Python And Bard API", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 4, page no.517 - 522, April-2024, Available :http://www.ijrti.org/papers/IJRTI2404074.pdf
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000205363
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator