# Welcome

## Just a quick word

> TahaFaceX is an electronic attendance management system that uses facial recognition technology to take attendance so as to minimize the spoofs done in the traditional attendance system. It can be used anywhere from schools & colleges to offices & homes. While still having your data to yourself, maintaining privacy and security for you and others.

## Quick links

{% content-ref url="/pages/Kasi5vIpjgHvY7tVl6sw" %}
[Updating the app](/tfxdocs/usage-guide/updating-the-app.md)
{% endcontent-ref %}

## Get Started

I've put together some helpful guides for you to get setup with my app quickly and easily.

{% content-ref url="/pages/8Xin7K8OKM5gPivTRBJl" %}
[Can I run it](/tfxdocs/compatibility/can-i-run-it.md)
{% endcontent-ref %}

{% content-ref url="/pages/f08B7JRYX2JhmlFU2fik" %}
[Pre-Installation stuff](/tfxdocs/installation-guide/pre-installation-stuff.md)
{% endcontent-ref %}

{% content-ref url="/pages/KV7mcxusIEoKGb58Qwdu" %}
[Using app for first time](/tfxdocs/usage-guide/using-app-for-first-time.md)
{% endcontent-ref %}


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://tmotagam.gitbook.io/tfxdocs/welcome.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.