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Description:

We present MADGUI, Multi-Application Design Graphical User Interface (GUI) using Bayesian Optimization and prediction model for data analysis and optimize process or composition. Its strength is its user-friendly design, which requires no programming knowledge. It is built using the Streamlit library in Python and is divided into three parts, allowing users to select various parameters and fill csv/xlsx files without any coding required. Overall, MADGUI is designed as an optimal experiment design platform with active machine learning, which accelerates the discovery of optimal solutions and provides an intuitive GUI for users with no experience in coding, machine learning, or optimization.

Rights:

• Creative Commons BY Attribution 4.0 International
  

Keyword: Graphical user interface, Statistical analysis, Machine learning, Bayesian optimization, Process optimization, User-friendly

Date published: 2025-01-21

Publisher: Elsevier BV

Journal:

• Chemometrics and Intelligent Laboratory Systems (ISSN: 01697439) vol. 258 105323

Funding:

Manuscript type: Publisher's version (Version of record)

MDR DOI:

First published URL: https://doi.org/10.1016/j.chemolab.2025.105323

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Updated at: 2025-01-27 12:30:30 +0900

Published on MDR: 2025-01-27 12:30:30 +0900