README.md

---
title: NeoGuardianAI
emoji: 🛡️
colorFrom: indigo
colorTo: purple
sdk: gradio
sdk_version: 3.50.2
app_file: app.py
pinned: false
license: mit
---

# NeoGuardianAI - URL Phishing Detection

This Space provides a web interface for detecting phishing URLs using a machine learning model with an anime-inspired tech guardian theme.

## Model Performance

- Accuracy: 96.31%
- Precision: 96.00%
- Recall: 96.66%
- F1 Score: 96.33%

## How it works

The model was trained on the [pirocheto/phishing-url](https://huggingface.co/datasets/pirocheto/phishing-url) dataset from Hugging Face.

It extracts various features from the URL and uses a XGBoost model to classify it as legitimate or phishing.

## Usage

Simply enter a URL in the input box and click "Check URL" to see if it's safe or potentially malicious.

## Model Repository

The model is available at [https://huggingface.co/Devishetty100/neoguardianai](https://huggingface.co/Devishetty100/neoguardianai)

## API Usage

You can also use this model via the Hugging Face Inference API:

```python
import requests

API_URL = "https://api-inference.huggingface.co/models/Devishetty100/neoguardianai"
headers = {"Authorization": "Bearer YOUR_API_TOKEN"}

def query(url):
    payload = {"inputs": url}
    response = requests.post(API_URL, headers=headers, json=payload)
    return response.json()

# Example
result = query("https://example.com")
print(result)
```