# 🤗 IntentSnap-AI

IntentSnap-AI is a Hugging Face–powered **intent classification model** designed to understand what a user wants from natural language input.

It turns plain text into structured intents for use in chatbots, assistants, apps, and automation systems.

#### Author: Alex Manochio
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## 🏫 About HouseLearning

This project is created and maintained by **HouseLearning**.

- 🌐 Website: https://www.houselearning.org
- 🎓 Mission: Building accessible, practical tools for learning computer science, AI, and software development.

IntentSnap-AI is part of HouseLearning’s open-source efforts to make modern AI understandable and usable by students, educators, and developers.

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## 🧠 What This Model Does

The model classifies text into predefined **intents**, such as:

- `open_settings`
- `shutdown`
- `restart`
- `play_music`
- `pause_music`
- `get_time`
- `open_browser`

Example:

Input: "Open the browser"
Output: open_browser


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## 📁 Project Structure

```
intentsnap-ai/
├── data/
│ └── intents.csv
├── model/
├── train.py
├── predict.py
├── requirements.txt
└── README.md
```

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## 🚀 Getting Started

### Install dependencies

```bash
pip install -r requirements.txt
Train the model
python train.py
The trained model will be saved to the model/ directory.

🔮 Run Inference
python predict.py
Type a sentence and the model will predict the intent in real time.

🧪 Example Output
> Shut down the system
🎯 Intent: shutdown (0.98)