This paper describes the study and implementation of a chatbot tohelp users of public services with their most frequent questions.The chatbot was developed based on the TF-IDF (Term Frequency -Inverse Document Frequency) model, using the Python languageand the Django framework. Functions such as registration of questionsand answers, were implemented using the Java language withAPI Restful and Spring Boot, and the MongoDB database. Finally,to enable the interaction of internal and external users with thesystem, front ends were built using the TypeScript language andthe Angular platform. The system is in the testing and validationphase.
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