Advanced online food ordering application

Cilj diplomske naloge je bil izdelati spletno aplikacijo za naročanje hrane (oziroma pic) prek spleta. Glavni poudarek naloge je omogočiti čimbolj učinkovito prodajo. V ta namen je bil izdelan poseben mehanizem za samodejno razvrščanje pic v več kategorij, ki skupaj s podatki o uporabnikovih preteklih nakupih omogoča, da se uporabniku predlaga nabor najprimernejših pic. Prvi del diplomske naloge opisuje uporabljene tehnologije in orodja. Pri razvoju aplikacije je uporabljen programski jezik PHP in druge spletne tehnologije (HTML, CSS, JavaScript, AJAX in SQL) ter knjižnice in ogrodja (jQuery, Twitter Bootstrap in druge). Za shranjevanje podatkov je uporabljena podatkovna baza MySQL. V drugem delu je opisan razvoj spletne aplikacije od ideje, načrtovanja in izdelave do uporabe končnega izdelka. Spletno mesto sestavljata prednji in zadnji del aplikacije, ki omogoča uporabo različnim tipom uporabnikov. Zasnovano je tako, da se prilagaja na širino zaslona naprave. Podrobno je opisan predvsem algoritem za razvrščanje in predlaganje pic, ki je glavna odlika aplikacije. V zadnjem delu je predstavljena primerjava s podobnimi spletnimi stranmi in analiza uporabe, v zaključku pa še pregled opravljenega dela, glavne težave pri razvoju ter ideje za nadaljnje delo.The purpose of the thesis was to produce a web application for ordering food (pizzas) online. The thesis mainly focuses on providing the most effective sales possible. For that reason we built a special mechanism for automatic categorisation of pizzas in different categories, which combined with data on a user\u27s past purchases provided a selection of the most appropriate pizzas for that specific user. The first part of the thesis describes the technologies and tools used. In developing the application PHP scripting language and other online technologies were used (HTML, CSS, JavaScript, AJAX and SQL), as well as libraries and tools (jQuery, Twitter Bootstrap and others). MySQL database was used for data storage. The second part describes the development of the web application from the idea, design and production to the use of the final product. The website is composed of a fore-end and back-end part of the web application, which enables different types of users to use the website. It is built in such a way that it is responsive to different screen widths. The thesis in detail describes the algorithm for pizza categorisations and suggestions, which is the main advantage of the application. The final part provides a comparison of the website with similar websites, an analysis of the application and concludes with an overview of the work done, the main problem in development and the idea for future work