Idag hämtar anställda på Bredband2 data från olika databaser på ett interntsystem som kallas en API-Hubb.  Denna API-Hubb samlar all informationsom kunder, telefonnummer, tjänster och kunders personliga data genomAPI (Application Programming Interface) förfrågningar.  Denna API-Hubbär begränsad i sin funktionalitet och ägs idag av ett externt företag som tarbetalt vid anslutningar av nya tjänster.  Det här arbetet avser att skapa enAPI-Hubb som utökar denna funktionaliteten genom att komplettera denparallellt eller att ersätta den.För att göra det behöver ett Python-baserat webbramverk användas som geren bra grund för att uppfylla arbetsgivarens krav samt erbjuda effektiva ochfunktionella  lösningmöjligheter.   De  funktioner  som  finns  på  existerandeAPI-Hubb  ska  få  utökade  anpassningsmöjligheter  genom  dynamisk  kodsom är skalbart och fungerar oavsett vilken funktion som ska utföras.Funktionalitet  och  utveckling  kommer  att  ske  till  stor  del  i  Django  RestFramework med programmeringsspråket Python.  För funktioner i använ-dargränssnittet kommer React att användas.  En uppgift är att få React ochDjango Rest Framework att interagera samt att arbetet ska använda sig avPostgreSQL som databas.Arbetet startar med att göra förundersökningar över vilket webbramverksom  ska  användas.   Django  Rest  Framework  valdes  och  installation  ochgrundkonfiguration  av  Django  startades.   När  den  grundliga  konfigura-tionen  ägt  rum  så  börjar  utvecklandet  av  API  endpoints,  models,  viewsoch funktioner för testmiljö.  Det bestämdes olika utföranden för GET för-frågningar och POST förfrågningar riktade mot olika endpoints. Resultatenvisar på att det är fullt möjligt att utveckla en API-Hubb med utökad funk-tionalitet  och  anpassningsmöjligheter  med  Django  React  Framework  ochReact genom att skapa en dynamisk kod som arbetar mot flera funktionerberoende på vilken indata som hanteras. / Today, employees at Bredband2 retrieve data from various databases on aninternal system called an API-Hub.  This API-Hub collects all informationsuch  as  customers,  telephone  numbers,  services  and  customers  personaldata through API (Application Programming Interface) requests. This API-Hub is limited in its functionality and is currently owned by an externalcompany that charges for connections of new services.  This project is in-tended to create an API Hub that expands this functionality by supplement-ing or replacing it.To do so, a Python-based web framework must be used which provides agood basis for meeting the foreman’s requirements as well as offering effi-cient and functional solution options.  The functions available on the exist-ing API-Hub will have extended customization options through dynamiccode that is scalable and works regardless of which function is to be per-formed.Functionality and development will take place in the Django Rest Frame-work with the programming language Python. React will be used too han-dle  functions  in  the  user  interface.   One  of  the  tasks  is  to  get  React  andDjango Rest Framework to interact and that PostgreSQL is used as the database.The work starts with doing preparatory research on which web frameworkis to be used.   Django Rest Framework was selected and installation andbasic configuration of Django was started.   Once the thorough configura-tion had taken place, the development of API endpoints, models, views andfunctions for the test environment began.  Different rules were determineddepending on whether it was a GET request or a POST request, which weresent to different endpoints.  The results showed that it is entirely possibleto develop an API-Hub with extended functionality and customization op-tions with Django React Framework and React by creating a dynamic codethat works towards several functions depending on which input data is han-dled.

The goal of this thesis is to design and implement a multiplatform multilingual mobile application for detecting leukocoria in an image of human face for iOS and Android platforms. Leukocoria is a whitish light of the pupil, which can be seen on the photo when the flash is used. Early detection of this symptom can save human eyesight. The application itself allows to analyze a user's photo and detect the presence of leukocoria. The goal of the application is to analyze eyes of the human, from which the mobile application name - Eye Check is derived. React Native framework was used to create a multiplatform mobile application. The Dlib library was chosen for human face and eye detection, the OpenCV library for working with the photo. The convolutional neural network was used to classify the eyes for the possible presence of leukocoria. Client-Server communication is solved using the REST architecture. The result is a mobile application that detects leukocoria and allerts the user to visit his doctor if leukocoria is detected.

This thesis describes a development of a modern client-server application for text recognition on iOS platform. The reader is acquainted with common principles of a client-server model, including its known architecture styles, and with a distribution of logical layers between both sides of the model. After that the thesis depicts current trends and examples of suitable technologies for creating an application programming interface of a web server. Possible ways of text recognition on the server side are discussed as well. In context of a client side, the thesis provides an insight into iOS platform and a few important concepts in iOS application development. Following implementation of the server side is stressed to be reusable as much as possible for different kinds of use cases. Last but not least, the thesis provides a simple iOS framework for a direct communication with the recognition server. Finally, an application for evaluation of food ingredients from a packaging material is implemented as an example of usage.