dc.contributor.author | Sangitha, Sreelekha | |
dc.date.accessioned | 2021-12-23T22:15:23Z | |
dc.date.available | 2021-12-23T22:15:23Z | |
dc.date.issued | 2021-12 | |
dc.identifier.uri | http://hdl.handle.net/20.500.11803/1650 | |
dc.description.abstract | In recent years, many breakthrough advancements have been made in the field of intelligent voice assistants with the help of Machine learning technologies like Natural Language Processing (NLP), Natural Language Generation (NLG) and Deep Neural Networks (DNN). Several day-to-day business problems can be solved by developing skills for voice assistants that are backed by technologies based on Artificial intelligence and Machine learning. One of the essential components for any business is providing readily available support to their customers. Chatbots are essential and have become one of the essential features for any business, but with a limitation of being available to customers who visit their website or support page. To create new opportunities for a business, intelligent voice assistant skills can be developed by creating a conversational chatbot that can interact and respond to customer questions. This project researches on leveraging available tools and technologies like AWS, Lambda, Alexa skill kit (ASK) to build a simple and functional skill for voice assistant Alexa. | en_US |
dc.language.iso | en | en_US |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | |
dc.rights | openAccess | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | |
dc.subject | Chatbots | en_US |
dc.subject | Voice assistant | en_US |
dc.subject | NLP | en_US |
dc.subject | Technologies | en_US |
dc.subject | DNN | en_US |
dc.subject | Machine learning | en_US |
dc.subject | Alexa skill | en_US |
dc.subject | Deep neural networks | en_US |
dc.title | Developing a Voice assistant Chatbot with Alexa Skills | en_US |
dc.type | Capstone | en_US |
thesis.degree.discipline | Computer Science | en_US |
thesis.degree.grantor | City University of Seattle | en_US |
thesis.degree.level | Masters | en_US |
thesis.degree.name | Master of Science | en_US |
cityu.school | School of Technology and Computing | en_US |
cityu.site | Seattle | en_US |
cityu.site.country | United States | en_US |