Building a chatbot using dialogflow : a proof-of-concept demonstration
Sah, Ajay (2023)
Kandidaatintyö
2023
School of Engineering Science, Tietotekniikka
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe20231201150593
https://urn.fi/URN:NBN:fi-fe20231201150593
Tiivistelmä
This thesis explores the dynamic field of chatbots with a particular emphasis on creating a proof-of-concept chatbot using Dialogflow. It provides a thorough overview of chatbot development, natural language understanding (NLU), natural language processing (NLP), artificial intelligence (AI), and their combined influence on changing traditional customer service practices. The main objective of this thesis is to acquire profound insights into the world of chatbots, delving into their historical roots, theoretical underpinnings, and the instrumental role of chatbot frameworks such as Dialogflow.
A proof-of-concept chatbot was developed with Dialogflow integrated, showcasing its ability to produce engaging, contextually aware interactions. While a proof-of-concept chatbot was developed, its main purpose was as a useful teaching tool. No extensive testing or usability approaches were used. Instead, this thesis provides a basic analysis of the architecture, design, and implementation of the chatbot. As a result, no rigorous testing was done; instead, the chatbot’s performance was evaluated informally by the author. Subsequent rigorous testing and validation are reserved for the forthcoming master’s thesis.
The findings of this study support chatbot’s positive potential for providing efficient and engaging customer assistance. It underscores the crucial role of platforms like Dialogflow in shaping the future of customer service, with its versatile and user-centric capabilities. In conclusion, this thesis explores the world of chatbots and Dialogflow while highlighting their profound impact on customer service. It opens the door to a future in which artificial intelligence and technology continue to drive superior customer service.
A proof-of-concept chatbot was developed with Dialogflow integrated, showcasing its ability to produce engaging, contextually aware interactions. While a proof-of-concept chatbot was developed, its main purpose was as a useful teaching tool. No extensive testing or usability approaches were used. Instead, this thesis provides a basic analysis of the architecture, design, and implementation of the chatbot. As a result, no rigorous testing was done; instead, the chatbot’s performance was evaluated informally by the author. Subsequent rigorous testing and validation are reserved for the forthcoming master’s thesis.
The findings of this study support chatbot’s positive potential for providing efficient and engaging customer assistance. It underscores the crucial role of platforms like Dialogflow in shaping the future of customer service, with its versatile and user-centric capabilities. In conclusion, this thesis explores the world of chatbots and Dialogflow while highlighting their profound impact on customer service. It opens the door to a future in which artificial intelligence and technology continue to drive superior customer service.