> For the complete documentation index, see [llms.txt](https://smartpredict.gitbook.io/smartpredict-ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://smartpredict.gitbook.io/smartpredict-ai/platform_overview/presentation-1.md).

# Presentation

## <img src="/files/-M1jwK3XaSe2Y48Y_z9y" alt="" data-size="line"> Why SmartPredict?

**SmartPredict Studio** stands out for its unique value proposition made of a **large palette of tools made of powerful algorithms**, **an option to create custom modules**, **a user-friendly interface**,and its **ergonomic modeling functions  navigation elements and more...**. **All of which makes of it a smart tool.**

&#x20;**The effortless handling ,displacement, and assembling** of **flowcharting components** compose its best assets:  the **drag and drop** mode makes them all so easy.

Apart from that, **to cover the granularity and singularity of their projects**, users also have the possibility of **coding their own modules or snippets** **in Python language**, and this, right from the ***SmartPredict Notebooks*** themselve&#x73;***.***

:rocket: **Create and deploy your Machine Learning models seamlessly , all while exploring the modules' richness and taking advantage of  the SmartPredict platform's  robustness.**

## *✨ SmartPredict* offers *5* distinctive *key features :*

1. **A drag and drop workflow** for model designing and for deployment pipeline. The AI Workflow  is represented as flowcharts. Assembling modules for every stage is a matter of minutes, in drag and drop mode .<br>
2. **SmartApps** are add-on functionalities to enhance SmartPredict' s core programs. They are useful for the consistent integration of AI specific modeling purposes such as Data processing and Image labeling for instance .                                                                                                                                                            **A SmartApp for Image Labeling :**&#x54;he image labeling SmartApp includes special functions for collaborative tagging and for attaching class or text  to bounding boxes. Use the collection as a drag and drop module.                                                                                                                                                      **A SmartApp for Data Processing and Visualization :** With more than 100 processors,  the SmartApp for Data Processing and Visualization is able to handle any data refining operations from simple to complex, like handling missing values, sorting and filtering, and exporting the processing pipelines, also as a drag and drop module.<br>
3. **A Notebook for coding in SmartPredict** comes with its unique Notebook interface for code-lovers allowing them to incorporate their favorite libraries into  SmartPredict projects. Additional code snippets and custom modules can be embedded through Notebooks with the help of the Python language.<br>
4. **An all-in-one online platform :** Export Dataset and Pipelines from Dataset Processing,  Export Image Dataset from Image labeling.  Interact with your workspace using the SmartPredict API, accessible through the  Notebook or externally.<br>


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