# Project Overview

NERF (Neural Radiance Fields) is a method that turns videos into 3D environments using artificial intelligence. By breaking down a video into frames and training a neural network on those images, NERF learns to understand the scene's colors, lighting, and shapes as the camera moves. Once trained, the neural network generates a 3D representation of the scene, allowing for the creation of new images from any angle and providing the ability to explore the environment in 3D.

Because it's such a new development, there really was no user-friendly way to take advantage of this amazing technology. But that's what we hope to change.

We're developing an easy and convenient way for all users to leverage this technology to create unique and engaging videos and renders for many different purposes using both our Telegram bot and web platform. 

## Quick links

{% content-ref url="../copy-of-overview/the-token" %}
[the-token](https://nerf-bot.gitbook.io/nerferc20/copy-of-overview/the-token)
{% endcontent-ref %}

{% content-ref url="../knowledge-base/learn-more-about-nerf" %}
[learn-more-about-nerf](https://nerf-bot.gitbook.io/nerferc20/knowledge-base/learn-more-about-nerf)
{% endcontent-ref %}

{% content-ref url="../products-tools/nerf-telegram-bot" %}
[nerf-telegram-bot](https://nerf-bot.gitbook.io/nerferc20/products-tools/nerf-telegram-bot)
{% endcontent-ref %}

{% content-ref url="../products-tools/nerf-web-app" %}
[nerf-web-app](https://nerf-bot.gitbook.io/nerferc20/products-tools/nerf-web-app)
{% 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://nerf-bot.gitbook.io/nerferc20/introduction/project-overview.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.