A multidisciplinary research project investigating the use of artificial intelligence and machine learning to identify early indicators of mental health risks.

The project explores machine learning models that can analyze behavioral and lifestyle patterns while maintaining privacy and responsible data practices.

The research aims to develop reliable computational approaches that can support researchers and healthcare professionals in understanding early risk factors.

The project involves collaboration between researchers in artificial intelligence, data science, psychology, and public health.