Artificial Intelligence System-based Chatbot as a Hotel Agent

IF 0.6 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC
Javeria Ali, Ume Aymen Amjad, Wajeeha Iqbal Ansari, Fareeha Hafeez
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引用次数: 0

Abstract

Background: The idea of being able to communicate with an electronic device in a similar way as human beings is now the new big thing in the world of Artificial Intelligence. The fusion of AI and Cloud computing has given rise to a new technology that can understand and learn conversations in the natural language used by humans. In this Era, where automation is taking over the world, the invention of smart chat-bots has made it possible to imitate humans in various applications to reduce human effort and thereby perform at maximum efficiency. Objective: The objective is to replace a human-constituted assignment with an error-free technology. By using the intent modular concept of dialog flow, the role of the hotel receptionist is eliminated. The purpose of using an API of Google Cloud Platform namely Dialog flow in this project is to conveniently perform NLP (Natural Language Processing) i.e. training a robot to perform according to our instructions and understand the natural language spoken by humans and the hardware attached to the device enables the listening and speaking of the smart bot. Methods: Utilization of Dialog flow Enterprise Edition to make “Hotel Agent” with the use of intents comprising of a general hotel glossary. Results: Dialog flow as a natural language processing recognizer running on the processor Raspberry pie with Python as its constituent language. Finally, it is connected to Google Assistant to make it publicly available in the execution phase. Conclusion: The successful testing of the Artificial Intelligence-based device has ensured that manpower could be conveniently replaced by Machine Intelligence by using knowledge-based databases.
基于人工智能系统的聊天机器人作为酒店代理
背景:能够以类似人类的方式与电子设备交流的想法现在是人工智能领域的新大事。人工智能和云计算的融合产生了一种新技术,可以理解和学习人类使用的自然语言对话。在这个自动化接管世界的时代,智能聊天机器人的发明使得在各种应用中模仿人类成为可能,以减少人类的努力,从而以最高的效率执行。目标:目标是用一种无错误的技术取代人为的任务。通过使用对话流的意图模块化概念,消除了酒店接待员的角色。在这个项目中使用谷歌云平台的API即Dialog flow的目的是为了方便地执行NLP(自然语言处理),即训练机器人根据我们的指令执行并理解人类所说的自然语言,并且连接到设备上的硬件使智能机器人能够听和说。方法:利用企业版的对话流,使用包含一般酒店词汇的意图,制作《酒店代理》。结果:对话流作为一个自然语言处理识别器运行在处理器Raspberry pie上,Python作为其组成语言。最后,将其连接到谷歌Assistant,使其在执行阶段公开可用。结论:人工智能设备的成功测试,确保了利用知识库方便地实现机器智能替代人力。
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来源期刊
Recent Advances in Electrical & Electronic Engineering
Recent Advances in Electrical & Electronic Engineering ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
1.70
自引率
16.70%
发文量
101
期刊介绍: Recent Advances in Electrical & Electronic Engineering publishes full-length/mini reviews and research articles, guest edited thematic issues on electrical and electronic engineering and applications. The journal also covers research in fast emerging applications of electrical power supply, electrical systems, power transmission, electromagnetism, motor control process and technologies involved and related to electrical and electronic engineering. The journal is essential reading for all researchers in electrical and electronic engineering science.
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