Conversational Chatbot for Online Shopping
Prof. A. C Taskar
, Nikhil Palde , Nikhil Sawant , Rahul Kale
Chabot, Text to Speech, Smart system, AI, AIML, LSA
Chatbot can be described as software that can chat with people using artificial intelligence. These software are used to perform tasks such as quickly responding to users, informing them, helping to purchase products and providing better service to customers. In this project, we present the general working principle and the basic concepts of artificial intelligence based chatbot and related concepts as well as their applications in various sectors such as telecommunication, banking, health, customer call centers and e-commerce. Additionally, the results of an example chabbot for trees is been developed by using the proposed architecture. We are using it for educational purpose to solve the quires of users. Chatbot are programs that mimic human conversation using Artificial Intelligence (AI). It is designed to be the ultimate virtual assistant, entertainment purpose, helping one to complete tasks ranging from answering questions, getting the rates to the delivery of plants. Chatbot has become more popular in business groups right now as they can reduce customer service cost and handles multiple users at a time. But yet to accomplish many tasks there is need to make chatbots as efficient as possible. In this system we provide the design of a Chatbot, which provides an efficient and accurate answer for any query based on the dataset of FAQs using Artificial Intelligence Markup Language (AIML) and Latent Semantic Analysis (LSA). Template based and general questions like welcome/ greetings and general questions will be responded using AIML and other service based questions uses LSA to provide responses at any time that will serve user satisfaction.
"Conversational Chatbot for Online Shopping", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.4, Issue 10, page no.65 - 68, October-2019, Available :https://ijsdr.org/papers/IJSDR1910012.pdf
Volume 4
Issue 10,
October-2019
Pages : 65 - 68
Paper Reg. ID: IJSDR_191070
Published Paper Id: IJSDR1910012
Downloads: 000347182
Research Area: Engineering
Country: -, -, -
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
