Sistema explicable de detección preventiva de indicadores de riesgo en salud mental adulta mediante aprendizaje automático multisalida y agentes de inteligencia artificial generativa a partir del dataset NSDUH 2024 / Explainable system for preventive detection of risk indicators in adult mental health using multi-output machine learning and generative AI agents based on the NSDUH 2024 dataset

This project presents an explainable academic prototype for the preventive detection of four indicators related to adult mental health using the National Survey on Drug Use and Health (NSDUH) 2024. The final system combines a hybrid Machine Learning and Deep Learning predictive solution, SHAP-based explainability, and a generative AI agent layer integrating structured validation, retrieval-augmented generation (RAG), LangGraph, Mistral, and guardrails. The repository includes the five main project notebooks, experimental results, final inference files, reproducibility documentation, productization components, and a local demonstration dashboard. The system is intended exclusively for academic and preventive research purposes and does not constitute a clinical diagnostic tool.