This paper describes the study and implementation of a chatbot to
help 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 language
and the Django framework. Functions such as registration of questions
and answers, were implemented using the Java language with
API Restful and Spring Boot, and the MongoDB database. Finally,
to enable the interaction of internal and external users with the
system, front ends were built using the TypeScript language and
the Angular platform. The system is in the testing and validation
phase.