Multimodal mental health AI pipeline ingesting text and voice inputs through Auto Loader, processing via Speech-to-Text and NLP, then fusing features for crisis detection using SVM and deep learning models. Data flows through Spark Streaming and Delta Live Tables with quality checks before reaching Multimodal Fusion and Mental Health Prediction stages. The pipeline serves predictions via Gemini API with safety guardrails, outputting results to dashboards and enabling observable metrics tracking. Fork this diagram to customize feature extraction, model selection, or safety thresholds for your mental health application.