Model of a GPT-4 and Natural Language Processing Driven Chatbot for Mental Health Strategies Among University Students in Peru

Abstract

Youth depression and suicide represent an increasingly critical public health challenge in Peru, with a significant impact on the university population. This paper presents a technological model based on an emotional-support chatbot that integrates the GPT-4 architecture and Natural Language Processing (NLP) techniques. The approach combines sentiment analysis with the generation of empathetic responses, complemented by the delivery of educational resources. Preliminary results indicate that the chatbot provides a safe and accessible space for emotional support. This proposal aims to strengthen preventive mental health strategies in the Peruvian university context through the use of innovative digital tools.