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MADGUI: Multi-Application Design Graphical User Interface for active learning assisted by Bayesian optimization
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DOI：10.1016/j.chemolab.2025.105323.png)
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Abstract
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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.
Keywords:
Graphical user interface
Statistical analysis
Machine learning
Bayesian optimization
Process optimization
User-friendly
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