Android app εξατομικευμένης, κοινωνικής & AI-powered διατροφικής καθοδήγησης και παρακολούθησης
Android app of personalized, social & AI-powered nutritional guidance and tracking
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Keywords
Android application ; Personalized nutrition ; Generative AI ; Spring Boot ; Jetpack Compose ; MVVM architecture ; Health tracking ; RESTful API ; Mobile healthAbstract
This master’s thesis presents a modern Android app for personalized nutrition tracking, developed using cutting-edge technologies such as Spring Boot for the back end and Jetpack Compose for the front end. Beyond the basic functions of accurately tracking calories and macronutrients and visualizing progress, the app innovates by incorporating an AI “Smart Dietitian.” This system dynamically analyzes the user’s biometric data and daily nutritional balance, providing personalized meal suggestions in real time. The ultimate goal is to create an intelligent digital tool that goes beyond simple tracking, offering active and personalized guidance for improving health.
Postgraduate Studies Programme
Προηγμένα Συστήματα Πληροφορικής - Ανάπτυξη Λογισμικού και Τεχνητής ΝοημοσύνηςDepartment
Σχολή Τεχνολογιών Πληροφορικής και Επικοινωνιών. Τμήμα ΠληροφορικήςNumber of pages
59Language
GreekCollections
Except where otherwise noted, this item's license is described as
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα