When developing HTML5 applications for TV platforms, the TV platforms provide, in addition to standardHTML5 functionality, also extra APIs for TV-specific features. These extra APIs differ between TVplatforms, and that is a problem when developing an application targeting several platforms. This thesis hasexamined if it is possible to design a framework which provides the developer with one API that works formany platforms by wrapping their platform-specific code. The answer is yes. With success, platform-specificfeatures including: TV remote control input, video, volume, Internet connection status, TV channel streamsand EPG data have been harmonised under an API in a JavaScript library. Furthermore, a build systempackages the code in the way the platforms expect. The framework eases the development of TV platformHTML5 applications. At the moment, the framework supports the Pace, PC and Samsung Smart TVplatforms, but it can be extended with more TV platform back-ends. / Lorsque l’on développe des applications HTML5 pour des plateformes TV, les plateformes TV fournissent,en plus de la fonctionnalité standard d'HTML5, des APIs supplémentaires pour les particularités d'une TV.Ces APIs supplémentaires diffèrent entre les plateformes TV, et ceci cause un problème lors dudéveloppement d’une application pour plusieurs plateformes. Cette thèse a fait l’examen de la possibilité deconcevoir un cadre d'applications qui fournit au concepteur une API qui peut servir à plusieurs plateformes,cachant le code spécifique de celles-ci. La réponse est oui. On a réussi à harmoniser : l’entrée de latélécommande, le lecteur vidéos, le volume, la connexion Internet, le flux TV et leurs données GPE, dans uneAPI qui réside dans une bibliothèque JavaScript. En outre, un système de compilation met le code d’unemanière dont la plateforme peut comprendre. Le cadre d'applications facilite le développement d'applicationsHTML5 des plateformes TV. Pour le moment, le cadre d'applications peut supporter la Pace, le PC et laplateforme de Samsung Smart TV, mais il peut également fonctionner avec d'autres plateformes TV. / Wenn man HTML5-Anwendungen für TV-Plattformen entwickelt, stellen die Plattformen neben denStandardfunktionalitäten von HTML5 auch extra APIs für TV spezifische Features zur verfügung. Diesezuzätzlichen APIs unterscheiden zwischen TV-Plattformen und das ist ein Problem bei der Entwicklung vonAnwendungen, die auf mehreren Plattformen laufen sollen. Diese These untersucht, ob es möglich ist, einFramework zu entwerfen, dass dem Entwickler eine API bereitstellt, welche für mehrere Plattformenfunktioniert, indem deren Plattform spezifischer Code verpackt wird. Die Antwort ist ja. Das Frameworkharmonisiert: Fernbedienungeingabe, Video, Volumen, Internet-Anschlussstatus, Fensehkanalstreams undelektronische Programmführer, zu einer gemeinsamen JavaScript-Bibliothek-API. Weiterhin verpackt einbuild system den Code so, wie es die Plattform erwartet. Das Framework erleichtert die Entwicklung vonHTML5-Applikationen für TV-Plattformen. Im Moment deckt das Framework: Pace-, PC- und SamsungSmart TV-Plattformen, aber es kann mit weiteren TV-Plattformen erweitert werden. / Quando si sviluppano delle applicazioni HTML5 per le piattaforme TV, quest'ustime offrono, oltre allafunzionalità comune di HTML5, anche APIs addizionali per funzionalità specifiche della TV. Queste APIsaddizionali differiscono tra le varie piattaforme TV e questo è un problema quando si sviluppaun'applicazione che funzioni per ciascuna piattaforma. Il presente lavoro esamina la possibilità di progettareun framework che fornisca allo sviluppatore una sola API, la quale sia funzionante per molte piattaforme esia idonea a nascondere il codice specifico di ciascuna di esse. La risposta è sì. Il framework fonde:l'immissione del telecomando, il video, il volume, lo stato della connessione Internet, i flussi dei canali TV edei dati della guida elettronica dei programmi, all'interno di una API secondo il modello di una libreriaJavaScript. Inoltre, il sistema di compilazione crea un pacchetto del codice nel modo in cui le piattaforme siaspettano. Il framework facilita lo sviluppo di applicazioni HTML5 per le piattaforme TV. Al momento, ilframework sostiene le seguenti piatteforme: Pace, PC e Samsung Smart TV, ma può essere esteso anche adaltre. / När man utvecklar HTML5-applikationer för TV-plattformar, finns utöver HTML5s standardfunktionalitet,även extra APIer för att komma åt TV-specifika funktioner. Dessa extra APIer skiljer sig åt mellan TV-plattformar, och det är ett problem när man utvecklar en applikation för många plattformar. Dettaexamensarbete har undersökt om det är möjligt att designa ett ramverk som förser utvecklaren med ett APIsom fungerar för många plattformar genom att wrappa deras plattformsspecifika kod. Svaret är ja. Ramverketharmoniserar: fjärrkontrollsindata, video, volym, internetförbindelse, TV-kanalströmmar och deras TV-tablåer, till ett gemensamt JavaScript-bibliotek-API. Vidare paketerar ett byggsystem koden på de sätt somplattformarna förväntar sig. Ramverket underlättar utveckling av HTML5-applikationer för TV-plattformar.För tillfället stöder ramverket plattformarna: Pace, PC och Samsung Smart TV, men det kan breddas med flerTV-plattformar.

Chatbots are becoming increasingly popular in various industries, and thereare many options available for businesses and organisations. Several studieshave investigated open-source chatbots and identified their core strengths,implementation, and integration capabilities however few have investigatedopen-source chatbot frameworks and libraries in a specific use case such asmedicine. The project's objective was to evaluate a selection of chatbots ormore specifically two frameworks: Botkit and Rasa, and two libraries:ChatterBot, and Natural which was utilised together with Botkit and alanguage model which is DialoGPT. The evaluation focuses specifically onaccuracy, consistency, and response time. Frequently asked questions fromthe World Health Organization and COVID-19 related Dialogue Datasetfrom GitHub were utilised to test the chatbots' abilities in handling differentqueries and accuracy was measured through metrics like Jaccard similarity,bilingual evaluation understudy (BLEU), and recall oriented gistingevaluation (ROUGE) scores, consistency through Jaccard similarity betweenthe generated responses and response time was taken to be the average timefor a response in seconds. The analysis revealed unique strengths andlimitations for each chatbot model. Rasa displayed robust performance inaccuracy, consistency, and customisation capabilities if the chatbot works ina particular topic with acceptable response times. DialoGPT demonstratedstrong conversational abilities and contextually relevant responses withtrade-offs in consistency. ChatterBot showed consistency, though sometimesstruggled with advanced queries, and Botkit with Natural stood out for itsquick response times, albeit with limitations in accuracy and scalability.Despite implementation challenges, these open-source frameworks, libraries,and models offer promising solutions for organisations intending to harnessconversational agents' technology. The study suggests encouraging furtherexploration and refinement in this rapidly evolving field.