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

Luna Saavedra, Jesus Jafet; Jara Figueroa, Nemberk Jesus; Pozo Coras, Keo Franck Luis

Model of a GPT-4 and Natural Language Processing Driven Chatbot for Mental Health Strategies Among University Students in Peru (#241)

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Date of Conference

July 15-17, 2026

Published In

"Engineering without Borders: Artificial Intelligence, Knowledge, Innovation, and Alliances for a Future from the Americas"

Location of Conference

Santiago (Chile)

Authors

Luna Saavedra, Jesus Jafet

Jara Figueroa, Nemberk Jesus

Pozo Coras, Keo Franck Luis

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.

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