Survey on Conversational AI Chatbot for Academic Website
Year: 2021
Type: article
Abstract: Background: This dissertation aims in developing a conversational chatbot for college universities, which can converse in any desired language. Methods: The main purpose of the planned system is to develop a chatbot which can intelligently answer all the queries related to universities. For this purpose, machine learning algorithms are used. Primarily, NLP(Natural Language Processing) is used for the interaction between the chatbot and the user. Various machine learning algorithms can be used to help the chatbot search the answer to users' query. For this purpose, we move to cosine similarity. It, in a way, helps the chatbot to search for the answer to the user's query. Also, various libraries are used for different purposes like accepting the audio input, converting speech to text, translating to desired language, etc. Findings: The pandemic has affected a lot of fields around the world. One of them is the educational field. Many students in the urban as well as the rural parts of India were not able to visit the universities to get information about academics. This chatbot would eliminate these worries. All the information needed can be accessed online.
Institution: Savitribai Phule Pune University
Language: English
Topic: AI in Service Interactions
Subfield: Marketing
Domain: Social Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W4226454091