# Project Description

Welcome!

This challenge does not require coding or a technical background. Your task is to develop a deliverable leveraging the resources on the left or any additional ones you find. Your work may cover any of the following focus areas:

* Data sets for object detection
* ML models
* Surveillance Systems
* Markers
* Template Legislation
* Real Estate

Use the resources on the left and others you find elsewhere to enhance your understanding of the problem. The original website for this challenge is [https://www.hackonguns.com/](https://www.hackonguns.com).

### How to submit your codebase

You have two options for "submitting" your codebase:

#### Making Submissions on GitHub

We will accept solutions on GitHub, granted your repository:

1. Must be **Public** with a license approved by the Open Source Initiative or Creative Commons.
2. Add "hackonguns" as a topic to your repository. See GitHub docs for how to associate topics with a code repository: <https://docs.github.com/en/repositories/managing-your-repositorys-settings-and-features/customizing-your-repository/classifying-your-repository-with-topics>

#### Making Submissions on GitLab

We will accept solutions on GitLab, granted that your code repository:

1. Must be **Public** with a license approved by the Open Source Initiative or Creative Commons.
2. Add "hackonguns" as a topic to your repository, as depicted in the image below.

<figure><img src="/files/D3rQF8jGKNDc2zWMN3iG" alt=""><figcaption></figcaption></figure>

Happy Hunting!


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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://docs.hackonguns.com/start-here/project-description.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.