Machine learning techniques integrated in an information system towards the analysis of social media food data
Τεχνικές μηχανικής μάθησης ενσωματωμένες σε ένα πληροφοριακό σύστημα για την ανάλυση δεδομένων τροφίμων από κοινωνικά δίκτυα
Master Thesis
Author
Γιαννιός, Λουκάς Λέππιδος
Giannios, Loukas Leppidos
Date
2021View/ Open
Keywords
Social media app ; Image recognition ; Machine learning ; Mobile app ; Food recipesAbstract
A complete Android Mobile application using the Dart programming language and Flutter Framework for the User Interface. The application uses Firebase for Authentication, Fire Store for data storage, Firebase Storage for storing images and videos as well as Firebase Cloud Functions. The application is of the Social Media type, i.e. users are allowed to upload videos or pictures, create friends and followers who will have access to the user's profile. In addition, it contains recipes that the user will be able to access through searching through the application. Finally, the application will be able to recognize the content of a user’s food image and suggest corresponding recipes through machine learning.