DCU Expo 2024 - Final Year Projects

80 150. 3DBioprinting of Collagen Bioinks This project investigates the use of collagen as amaterial to produce bioinks that can be used to 3D bioprint structurally and biologically stable scaffolds for bone tissue engineering applications. Chondroitin Sulphate is added to a Collagen/SodiumAlginate bioink at varying concentrations to investigate its suitability for 3D bioprinting. Hydroxyapatite particles are then added to investigate drug delivery applications of the optimised bioink. Characterisation of the fabricated bioinks and scaffolds is performed to ensure the collagen bioink produced is suitable for future use as a bone tissue engineeringmaterial. Student Programme Biomedical Engineering (Year 5) Project Area AdditiveManufacturing, Biomedical Engineering, Materials Testing Project Technology Excel/VB, R, Solidworks Student Name(s) ColmParnell Email colm.parnell3@mail.dcu.ie Supervisor Dr Tanya Levingstone 151. GestoLearn GestoLearn is a web application for learning American Sign Language for words using gamification techniques. Features of this app include quizzes, signs capturing for assessment purposes along with emotion detection using a webcam, a community feature where users can interact with one another, a dashboard for progress tracking and editing of profiles, and interactive lesson videos that are based on different categories, i.e., greetings, family, and emotional state. It is an easy-to-use tool that aims to educate people on sign language for basic or commonly used words to bridge the communication gap between hard-of-hearing individuals and those who do not know sign language. Student Programme Computer Applications Project Area Computer Vision, Educational, Web Application Project Technology CSS, Docker, MongoDB, Nodejs, Python, React.js, Machine Learning, H5P, Kubernetes, AWS, GitLab Student Name(s) Okikiola Sanni  |  Effa Issa Faqir Al Bulushi Email okikiola.sanni3@mail.dcu.ie  |   effa.issafaqiralbulushi2@mail.dcu.ie Supervisor Dr AlessandraMileo 152. AI-Driven Python Learning on Raspberry Pi The intention is to integrate the Python learning app within a Kubernetes cluster. By doing so, it is anticipated that every learner, irrespective of their device, will access a uniformand high-quality experience. This setup would also circumvent common challenges associated with software installations and compatibility issues, making it accessible fromany location. It is designed for efficient resource management, particularly when catering to large audiences, and offers robust recovery mechanisms against system interruptions. Code Llama Python will act as a personal instructor/helper. By proposing the merger of Code Llama’s capabilities with Kubernetes, the vision is to reshape the way Python is taught to beginners, making it more accessible and effective. Student Programme Computer Applications Project Area Artificial Intelligence, Educational, RaspberryPi, Kubernetes Project Technology Docker, HTML5, JavaScript, Python Student Name(s) Vaidas Buzas  |  Juan De ViveroWoods Email vaidas.buzas2@mail.dcu.ie  |   juan.deviverowoods3@mail.dcu.ie Supervisor Renaat Verbruggen