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Description
The TAISTI project is designed to answer specific questions aimed at solving practical problems of detecting ingredients in a recipe that should be replaced concerning a special diet, dish or other constraints and recommending their valid substitutes. The project will focus on providing practical solutions in the domain of information engineering researching various designs and experimentally evaluating them with a purpose to propose a new technology.
TAISTI will increase the share of female researchers in technical sciences: four female researchers in technical sciences, including three in information engineering, and one in food and beverages, will participate in TAISTI, one in the roles of the PI aand WP leader, and two in the roles of WP leaders. Moreover, PI will establish a new research collaboration by going abroad for research to visit Norwegian University of Science and Technology (NTNU).
The specific objectives of the project are to provide: 1) integrated knowledge and data resources on culinary recipes and their ingredients to fuel artificial intelligence algorithms, 2) novel data-driven (machine learning-based) methods to recommend candidate ingredient substitutes and predict their characteristics, 3) novel knowledge-driven (logic reasoning-based) methods to select and explain target ingredients and their valid substitutes, and 4) a proof-of-concept system for recommending ingredient substitutes to integrate and demonstrate the developed technologies. The project will result in conference and journal publications as well as in a patent application. The result of the project will be at TRL level 6.