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