Application development of a personalized, nutritional type analysis using machine learning

• Κύριος συγγραφέας: Μπούλιας, Παρασκευάς
• Άλλοι συγγραφείς: Boulias, Paraskevas
• Γλώσσα: English
• Έκδοση: 2022
• Θέματα: Εξατομικευμένη διατροφολογική εφαρμογή; Μηχανική μάθηση; Personalized diet application; Machine learning

The following diploma thesis is a research upon topics of diet-related applications and machine learning implementation. It goes into detail explaining past attempts, their specifications, their capabilities, successes and shortcomings. Furthermore, it introduces a modular application of its own with machine learning capabilities as a paradigm to showcase findings and conclusions. A rather unique method of splitting nutrients (e.g. carbs) into arrays is also introduced with the intent of enhancing the system's predictive prowess.