> ## Documentation Index
> Fetch the complete documentation index at: https://docs.atomscale.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Create Project

> Create a new project in your workspace

Creates a new project for organizing samples and data. Projects serve as the top-level container for related experiments.

<ParamField body="name" type="string" required>
  Project name (must be non-empty)
</ParamField>

<ParamField body="notes" type="string">
  Notes or description for the project
</ParamField>

## Response

Returns the UUID of the newly created project.

<RequestExample>
  ```bash cURL theme={null}
  curl -X POST "https://api.atomscale.ai/projects/" \
    -H "X-API-KEY: YOUR_API_KEY" \
    -H "Content-Type: application/json" \
    -d '{
      "name": "InGaN LED Development",
      "notes": "Blue LED optimization project for Q1 2024"
    }'
  ```

  ```python Python theme={null}
  import requests

  response = requests.post(
      "https://api.atomscale.ai/projects/",
      headers={
          "X-API-KEY": "YOUR_API_KEY",
          "Content-Type": "application/json"
      },
      json={
          "name": "InGaN LED Development",
          "notes": "Blue LED optimization project for Q1 2024"
      }
  )
  project_id = response.json()
  ```
</RequestExample>

<ResponseExample>
  ```json 200 theme={null}
  "d290f1ee-6c54-4b01-90e6-d701748f0851"
  ```
</ResponseExample>