Inquiry chatbot with cloud computing

The project aims to provide an efficient solution to replace the traditional call center model which is widely used in the industries. Traditional call centers are labor intensive and are unable to handle variable throughput efficiently. This is due to its fixed bandwidth to handle incoming calls. T...

Full description

Saved in:
Bibliographic Details
Main Author: Sathish Jayabalan
Other Authors: Gan Woon Seng
Format: Final Year Project
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/75409
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-75409
record_format dspace
spelling sg-ntu-dr.10356-754092023-07-07T17:38:38Z Inquiry chatbot with cloud computing Sathish Jayabalan Gan Woon Seng School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering The project aims to provide an efficient solution to replace the traditional call center model which is widely used in the industries. Traditional call centers are labor intensive and are unable to handle variable throughput efficiently. This is due to its fixed bandwidth to handle incoming calls. The proposed solution will have the call center infrastructure built using Amazon Web Services. The cloud services provider enables the development of the various components of a call center. Amazon Lex service will provide the Natural Language Understanding and Automatic Speech Recognition which allows developer to build lifelike conversational bots which provides highly engaging user interactions. The project will be implemented in 2 phases. First phase consists of the building conversational chatbot on Alexa-enabled devices using Alexa Custom Skills Kit. Second phase includes the integration of the Amazon Connect (cloud-based contact center) directly to the Lex Bot. Interactions with AWS NoSQL Database Service (DynamoDB) and Simple Notification Service (SNS) will be implemented in both phases. From the project, the factors affecting the accuracy of the chatbot, to match user’s utterance to their intent, were established. These factors mainly depend on the quantity and diversity of the enumeration values provided by the developer for the sample utterances. Bachelor of Engineering 2018-05-31T03:58:16Z 2018-05-31T03:58:16Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/75409 en Nanyang Technological University 51 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Sathish Jayabalan
Inquiry chatbot with cloud computing
description The project aims to provide an efficient solution to replace the traditional call center model which is widely used in the industries. Traditional call centers are labor intensive and are unable to handle variable throughput efficiently. This is due to its fixed bandwidth to handle incoming calls. The proposed solution will have the call center infrastructure built using Amazon Web Services. The cloud services provider enables the development of the various components of a call center. Amazon Lex service will provide the Natural Language Understanding and Automatic Speech Recognition which allows developer to build lifelike conversational bots which provides highly engaging user interactions. The project will be implemented in 2 phases. First phase consists of the building conversational chatbot on Alexa-enabled devices using Alexa Custom Skills Kit. Second phase includes the integration of the Amazon Connect (cloud-based contact center) directly to the Lex Bot. Interactions with AWS NoSQL Database Service (DynamoDB) and Simple Notification Service (SNS) will be implemented in both phases. From the project, the factors affecting the accuracy of the chatbot, to match user’s utterance to their intent, were established. These factors mainly depend on the quantity and diversity of the enumeration values provided by the developer for the sample utterances.
author2 Gan Woon Seng
author_facet Gan Woon Seng
Sathish Jayabalan
format Final Year Project
author Sathish Jayabalan
author_sort Sathish Jayabalan
title Inquiry chatbot with cloud computing
title_short Inquiry chatbot with cloud computing
title_full Inquiry chatbot with cloud computing
title_fullStr Inquiry chatbot with cloud computing
title_full_unstemmed Inquiry chatbot with cloud computing
title_sort inquiry chatbot with cloud computing
publishDate 2018
url http://hdl.handle.net/10356/75409
_version_ 1772827782180503552