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daic-woz

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Official code for a multi-agent audit framework for reliable and interpretable high-stakes LLM reasoning, evaluated on PHQ-8 depression assessment with DAIC-WOZ using locally deployed open-source models.

  • Updated Aug 2, 2026
  • Python

This project detects depression using audio and visual features from video input. It extracts MFCC features from the full audio and selects 20 evenly spaced frames from the video. These are fused and passed into a DenseNet201 model trained on the DAIC-WOZ dataset. Includes a Gradio web interface, deployable via Hugging Face Spaces and Google Colab.

  • Updated Jul 16, 2025
  • Jupyter Notebook

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