> For the complete documentation index, see [llms.txt](https://mondrian.gitbook.io/yennefer-single/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://mondrian.gitbook.io/yennefer-single/eng-s1.5.0/studio/main-features/project/create-a-project.md).

# Create a project

> A project is a development environment for data analytics and AI research. When you create a project, you select the frameworks and libraries, resources (machines) you need, and connect your data to the project to provide an optimal environment for your research.

## Projects

![](https://4282080738-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FrX4j7N0xGKjcONsYrDeS%2Fuploads%2FUCXjJpg3WiCrH4ig6mX9%2F%ED%94%84%EB%A1%9C%EC%A0%9D%ED%8A%B8%EB%AA%A9%EB%A1%9D.png?alt=media\&token=1ebd7f3f-2123-42be-a389-576fb24213aa)

* **Project Search :** You can search for the desired project. 
* **Project Types :** You can view created projects such as **My Project, Shared Projects, and Active Projects.**     
* **Project List View Filter :** You can select the desired view type from **Card, List.**  
* **Project Status Filter:** You can select the desired project status type from **All or Activate**.
* **Sortby Sorting Method :** You can select the project **by name, by date of most recent creation, or by order of most recent updates.**

## Create a project

<details>

<summary><mark style="color:purple;">Step1:</mark> Enter project information</summary>

</details>

Enter **a project title and description** and click **Next.**

<figure><img src="https://4282080738-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FrX4j7N0xGKjcONsYrDeS%2Fuploads%2F1DHcqHjxrVi3nq6s95wS%2F%ED%94%84%EB%A1%9C%EC%A0%9D%ED%8A%B8%EB%A7%8C%EB%93%A4%EA%B8%B0%201.png?alt=media&amp;token=2a1d5470-c7ed-4fa5-90e8-5551187a3ca7" alt=""><figcaption></figcaption></figure>

<details>

<summary><mark style="color:purple;">Step1:</mark> Choose an Environment Preset</summary>

</details>

**Environment presets** are IDE environments and libraries to get you started with data analysis and AI algorithmic model development.

<figure><img src="https://4282080738-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FrX4j7N0xGKjcONsYrDeS%2Fuploads%2Fx2QBcO3K6x0qaKBoY7SZ%2F%ED%99%98%EA%B2%BD%ED%94%84%EB%A6%AC%EC%85%8B.png?alt=media&amp;token=2b040425-f38c-4953-80cc-9fd7cb4c3851" alt=""><figcaption></figcaption></figure>

* The environments in the Environment preset are separated into CPU/GPU.&#x20;
* Depending on the GPU permissions set by your administrator, you can create CPU containers only, or both CPU/GPU.
* selecting the environment preset you want to use for your project.
* click the Finish button, the project will be created normally.