ABSTRACT
Nowadays depression is a relevant issue due the high level of stress
observed even in students and young people. Moreover, the detection
of the depression symptons is a complex task, since each
person has different behaviors and reactions in these scenarios. This
work address the detection of depression symptoms using chatbots
based on machine learning algorithms. The use of chatbots enables
a smooth approach for shy and introspective people, whose do
not feel comfortable for talking to parents, psychologists or medical
professionals in general. To this end, an App for smart-phone
is proposed in order to perform a talk with a person, and verify
if some depression symptoms are observed based using machine
learning algorithms. The initial results show that the proposed
model has a good accuracy on simulated scenarios, where basic
talks are performed by the chatbot.