A self-healing text classification pipeline built with LangGraph and a fine-tuned DistilBERT (LoRA) model. The system uses prediction confidence to decide whether to accept, reject, or trigger a fallback (user clarification or alternative strategy). Designed with a clean CLI, structured logging, and human-in-the-loop reliability. Demo video:
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Updated
Oct 3, 2025 - Python