Artificial Intelligence System-based Chatbot as a Hotel Agent

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.