RESEARCH

ALENTAR-J-CM Project

ALENTAR-J-CM is a research project that uses Artificial Intelligence (AI) and Large Language Models (LLMs) to early detection and prevention the risk of emotional disorders and suicide in young people.

Learn about ALENTAR

RESEARCH

ALENTAR-J-CM
Project

Learn about ALENTAR

Research partners

Collaborating partners

ABOUT ALENTAR-J-CM

The story behind the project

The story behind the project: ALENTAR-J-CM was created as an institutional collaborative project with a common vision: to combat emotional distress among young people through research and the application of advanced technologies in mental health.

Meet the team

RESULTS

Real-world application in the social and healthcare system

We transfer the research and technology developed in ALENTAR-J-CM to create real solutions that improve care and prevention in youth mental health.

Find out how

Early detection

Identification and definition of paralinguistic and speech-related parameters.

Real-World validation

Validation of the obtained parameters in real-world contexts.

Analysis

Written and vocal expression data collection and analysis from diverse populations.

Solution development

Development of evidence-based prevention resources and services.

RESULTS

Real-world application in the social and healthcare system

We transfer the research and technology developed in ALENTAR-J-CM to create real solutions that improve care and prevention in youth mental health.

Early detection

Identification and definition of paralinguistic and speech-related parameters.

Real-World validation

Validation of the obtained parameters in real-world contexts.

Analysis

Written and vocal expression data collection and analysis from diverse populations.

Solution development

Development of evidence-based prevention resources and services.

find out how

Publications

Smart devices and stress level detection: balancing machine learning model complexity and device intrusiveness

March 2, 2026

Mental health disorders have become leading contributors to disability worldwide. Furthermore, stress represents a relevant risk factor linked to depression,…

Promising effects of a trained AI chatbot as an intervention asset for reducing depression and anxiety among young adults

February 19, 2026

Young adults face emotional problems in their daily lives. Considering that youth are prevalent among mobile internet users, it would…

Exploring the reasons for quitting psychological assessment in adolescents at risk of suicide and the role of Natural Language Processing (NLP) models

February 9, 2026

Non-attendance at scheduled psychological assessments represents a critical barrier to suicide prevention efforts among adolescents. Early identification of suicide risk…

GET INVOLVED

Every step matters.

Let’s join efforts to support emotional well-being in our society.

Contact

This website is supported by the Dirección General de Investigación e Innovación Tecnológica de la Comunidad de Madrid (Orden 3177/2024) through the I+D Technological activities program (TEC-2024/COM-224) and the European Regional Development Fund (ERDF)

ALENTAR-J-CM Project

ALENTAR-J-CMProject

Research partners

Collaborating partners

The story behind the project

Real-world application in the social and healthcare system

Early detection

Real-World validation

Analysis

Solution development

Real-world application in the social and healthcare system

Early detection

Real-World validation

Analysis

Solution development

Publications

Smart devices and stress level detection: balancing machine learning model complexity and device intrusiveness

Promising effects of a trained AI chatbot as an intervention asset for reducing depression and anxiety among young adults

Exploring the reasons for quitting psychological assessment in adolescents at risk of suicide and the role of Natural Language Processing (NLP) models

Every step matters.

ALENTAR-J-CM
Project