> For the complete documentation index, see [llms.txt](https://data-to-production.gitbook.io/product-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://data-to-production.gitbook.io/product-docs/project-guides/understanding-projects.md).

# Understanding Projects

## Project Objective

The goal of the project is to establish a comprehensive data science pipeline that encompasses all stages, such as acquiring data, constructing ETL pipelines, developing models, deploying them, and engaging with the final user.

### How the project works

<figure><img src="https://95207656-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FFjyxEyaBGhRnoJSaZDPz%2Fuploads%2F7GlaDui1mUwEoX1CDQml%2FCLV%20Architecture-1.png?alt=media&amp;token=199184ec-6f6b-40b1-919e-db63b96a1285" alt=""><figcaption><p>End2End Architecture</p></figcaption></figure>

### Organising your Project

{% hint style="info" %}
NOTE: Anything in CAPS below are folder directories.&#x20;
{% endhint %}

```
PROJECT
├── README.md
├── DATA
│   ├── <all data>
├── SRC
│   ├── __init__.py
│   ├── <python scripts>
├── TESTS
│   ├── __init__.py
│   ├── <all test files>
├── CONFIG
│   ├── config.yml
│   ├── config_template.yml
├── .GITHUB
│   ├── pull_request_template.md
│   ├── WORKFLOW
│       ├── github-actions.yml
├── Docker
├── Makefile
├── requirements.txt
├── .gitignore
```

### Structuring your Project README

* Project Name
* Project Description
* Quick Start
* Pipeline Visualization
* Contribution
* Credits

### Project Ideas

* Forecasting In Supply Chain (such as in retail industry)
* Customer Lifetime Value to help Marketing team to increase sales growth.

and many more...