Title
Multimodal Approaches of Artificial Intelligence and Machine Learning for Analysis and Prediction in Education, Sports, and Other Complex Domains (MAPS)
Acronym
MAPS
Code
IP-UNIN-TEH-2025-10
Coordinator
Sveučilište Sjever
Ammount
49620 EUR
Project duration
21.10.2025 – 30.09.2029
Summary
The MAPS project focuses on developing multimodal artificial intelligence and machine learning systems applicable in education, sports, and other complex domains. Its goal is to improve prediction, analysis, and decision-making processes by integrating textual, speech, and behavioral data from multiple sources. The project develops new algorithms, tools, and prototypes and tests them in real-world environments such as schools, universities, and sports clubs. The results include functional AI models, guidelines for their application, and scientific and professional contributions that support digital transformation and the practical use of artificial intelligence. Project external collaborators: Assoc. Prof. Dario Dilber, PhD (Laboratory for Invasive and Interventional Cardiology, Department of Cardiology, Thalassotherapia Opatija; Chair of Rehabilitation and Sports Medicine, Faculty of Medicine, University of Rijeka) Anđelko Katalenić, PhD (Independent consultant, self-employed)
Leader
doc. dr. sc. Tomislav Horvat
Collaborators
mr. sc. Matija Mikac
doc. dr. sc. Ladislav Havaš
Dražen Crčić
Leon Horvat
Publications
-
Equipment
-
Sveučilište Sjever
Sveučilišni centar Koprivnica
Trg dr. Žarka Dolinara 1
48000 Koprivnica
Sveučilišni centar Varaždin
Jurja Križanića 31b
42000 Varaždin