🤗 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

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)