Machine Learning Deployment as a Web Service to Evaluate the Production Cycle of Environmental Goods: Primary Analysis of Ionic Liquids with Visualizations

Many applied research studies require a convenient web interface that would allow making a set of hypotheses, due to the fact that the data or the operation of algorithms is visualized. This chapter describes an experiment to create such an interface. We have chosen the theme of the production of goods from recycled materials. This process involves, for example, the use of cellulose. The first cycle of working with it involves the process of dissolution. In order for this to be economically feasible, it is necessary to select an ionic liquid. It is obvious that the process of selecting a substance can be automated; appropriate algorithms are developing every year. And so that people who are not related to chemistry and physics can make decisions, it is necessary to provide them with a tool that helps in this. Thus, we have chosen a sphere where there are ML models, and the visualized conclusions of algorithms can help a nonspecialist to make decisions.