Year: 2024
Type: article
Abstract: We present the development of a chatbot designed to assist industries in analyzing their databases and providing relevant information to support decision-making.The chatbot is built using the Dialogflow CX platform, which offers tools for its creation, incorporating machine learning and artificial intelligence functionalities.Additionally, specialized Python code facilitates the connection between Dialogflow CX and Python, enabling the upload and analysis of user databases through an external web page.Despite the challenges posed by the creation of the Python code, which were the correct selection of libraries, since for the processing, analysis, and response of the selected information, we should op t for options that can capture all the information, in the case of some libraries only took segments of the file provided, and for the use of this case study, we opted for the Pandas package for its simple and effective use for this chatbot, the result is a responsive chatbot capable of effectively managing database loads and providing insightful analysis to users.
Institution: Universidad Autónoma de Ciudad Juárez
Language: English
Topic: AI in Service Interactions
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4409017921