Team MKC presents an LLM-based pipeline for comprehensive mental health analysis as part of the CLPsych 2026 shared task. The system is designed to address the need for scalable computational approaches in early detection and continuous monitoring of psychological well-being.
The proposed framework jointly enables post-level assessment and user-level temporal modeling over sequentially ordered user posts.
This unified approach aims to support holistic mental health analysis by leveraging domain-specific datasets and large language models.