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Initial HF Space commit (code only)

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+ ---
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+ title: Curriculum Alignment Inference
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+ emoji: 🎓
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+ colorFrom: blue
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+ colorTo: green
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+ sdk: gradio
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+ sdk_version: "4.44.0"
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+ app_file: app.py
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+ pinned: false
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+ ---
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+
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+ # Curriculum Alignment Inference
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+
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+ Hugging Face Space for predicting alignment between Course Learning Outcomes (CLO) and Sub-CLO using Bloom's Taxonomy classification.
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+
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+ ## Features
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+
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+ - **4 Different Models** for inference comparison
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+ - **Bloom Taxonomy Classification** (Cognitive, Affective, Psychomotor)
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+ - **Alignment Detection** based on domain and level rules
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+
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+ ## Models
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+
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+ | Model | Type | Description |
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+ |-------|------|-------------|
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+ | Fine-tuned IndoBERT | Deep Learning | Sequence classification from HF Hub |
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+ | Siamese IndoBERT | Deep Learning | Direct alignment prediction from paired inputs |
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+ | SVM | Machine Learning | Support Vector Machine (local) |
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+ | LightGBM | Machine Learning | Gradient boosting classifier (local) |
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+
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+ ## Alignment Rules
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+
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+ Two learning outcomes are **aligned** if:
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+ 1. Same Bloom domain (C/A/P)
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+ 2. Sub-CLO level ≤ CLO level
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+
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+ ## Project Structure