Moreover, next to each compound there are two buttons for downloading the calculated molecular descriptors or the best 15 descriptors on which the final model relies. The front-end development utilizes the Ionic framework, chosen for its wide range of user interface components suitable for both browsers and mobile devices. The back-end component is a cloud-based web service implemented using the Flask micro-framework, known for its lightweight yet robust nature. It receives input from the front-end, executes the VirtuousMultiTaste analyser, and sends the results back to the front-end. To facilitate this information exchange, a RESTful API is provided, which accepts and transmits data in the form of JavaScript Object Notation (JSON).