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---
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language: en
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license: mit
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tags:
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- intent-classification
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- assistant
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- scikit-learn
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- sentence-transformers
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model-type: text-classification
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pipeline_tag: text-classification
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base_model: sentence-transformers/all-MiniLM-L6-v2
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widget:
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- text: "increase volume"
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- text: "open gmail"
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- text: "restart system"
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---
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# 🧠 Jarvis Intent Classifier
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A lightweight CPU-friendly intent classification model that detects user commands
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and returns both a natural response and a system action command.
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This model is ideal for building local AI assistants that can interact with your operating system
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(e.g., open apps, control volume, restart, sleep, or play music).
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---
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## 🏗️ Model Overview
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| Component | Description |
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|------------|--------------|
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| **Base Model** | `sentence-transformers/all-MiniLM-L6-v2` (384-dim embeddings) |
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| **Classifier** | `LogisticRegression` (scikit-learn) |
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| **Dataset** | Custom OS command dataset with examples, responses, and Python actions |
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| **Frameworks** | `sentence-transformers`, `scikit-learn` |
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| **Runs on** | CPU (no GPU needed) |
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| **License** | MIT |
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---
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## 🧩 Example Input → Output
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**Input:**
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```text
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restart my computer
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{
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"intent": "system_restart",
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"response": "System restart initiated...",
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"action": "os.system('shutdown /r /t 1')"
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}
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## 📜 License
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This model is released under the **MIT License**.
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You may use, modify, and distribute it freely with attribution.
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---
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## 📖 Citation
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If you use this model, please cite:
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@software{jarvis_intent_classifier,
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title={Jarvis Intent Classifier},
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author={Arul Krishnan},
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year={2025},
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publisher={Hugging Face Hub},
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url={https://huggingface.co/KrishnanDevilking/jarvis-intent-classifier}
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}
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