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Self-Healing-Classification-DAG-with-Fine-Tuned-Model

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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:

Creat2025-10-02T20:13:19
Update2025-10-04T14:59:45
https://drive.google.com/file/d/15PGVQFVQWr4UuVHBPFPQhrBBqBTLVVPc/view?usp=sharing
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