Marija Gardašević successfully defended her BSc thesis, “Application of Artificial Intelligence in the Development of a Mobile Assistant for Early Parenthood Support,” at the Faculty for Information Systems and Technologies, University of Donja Gorica. Supervised by Prof. Tomo Popović, the thesis resulted in BabyFlow.AI, a functional Flutter-based mobile prototype for recording and reviewing a baby’s daily routines, including sleep, feeding, mood, meals and basic health-related information. The prototype may be considered an early proof of concept for a future digital parenting-support product, subject to further user testing, integration of more advanced analytics and validation in cooperation with relevant professionals.
ABSTRACT – The thesis presents the development of BabyFlow.AI, a functional mobile application prototype designed to help parents organize and monitor a baby’s daily routine. The application combines modules for sleep, feeding, pumping, mood, meals, calming-noise sessions, vaccination records, growth tracking and relevant health-information resources, while storing user data locally on the device. Basic analytical insights are generated from user entries, and a separate demonstrative Python machine-learning model illustrates a simple data-processing and classification workflow. BabyFlow.AI is not intended for medical, clinical or diagnostic use, but represents a practical proof of concept that could support the future development of privacy-conscious digital services for parents and childcare providers.