This section introduces you to the distinctive features of SmartPredict Studio and highlights how users can benefit from its use according to their professional category.

SmartPredict Studio stands out for its unique value proposition with a large palette of tools made of powerful algorithms, an option to create custom modules, an user-friendly interface,and its ergonomic modeling functions.

One of its best assets is the easy handling of visual flowcharting components by dragging and dropping.

Apart from that, to cover the granularity of a project, users also have the possibility of coding their own modules or snippets in Python language,and this, right from the SmartPredict Notebooks.

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 .

  2. SmartApps are add on functionalities to enhance SmartPredict' s core programs. They are useful for the seamless integration of AI specific modeling purposes such as Data processing and Image labeling for instance . A SmartApp for Image Labeling :The 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.

  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.

  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.