DCU Expo 2024 - Final Year Projects

34 12. Development of Drug Release Coatings for Medical Implants Diabetes is a very prominent disease in today’s world. Microneedle patches show promise as an alternative to current approaches for insulin delivery for the treatment of diabetes. This project aims to find a polymer solution capable of delivering insulin to the body, coat amicroneedle patch with this polymer solution, and test its ability to dissolve at the rate required for diabetes treatment. This project entails testing a range of polymer-coatedmicroneedle patches in relation to coating quality, durability, dissolution rate, and strength of adherence to the surface. Student Programme Biomedical Engineering (Year 4) Project Area Biomedical Engineering, Materials Testing Project Technology Excel/VB, Bioprocessing Student Name(s) Emily Cronin Email emily.cronin23@mail.dcu.ie Supervisor Dr Tanya Levingstone 13. MindJourself - Voice Journaling App MindJourself, a pioneeringmental health platform, seamlessly blends the timeless practice of journaling with cutting-edge technology. Catering to users aged 16 and above, it offers a private digital sanctuary for expressing thoughts and emotions. Key features include mood tracking, personalised journaling prompts, and innovative emotional analysis reports. MindJourself prioritises data privacy controls and secure cloud storage, ensuring confidentiality. The platform engages users with gamified elements and fosters a habit of introspection and emotional well-being. Designed for diverse devices, MindJourself revolutionises self-reflection, providing invaluable insights and promoting personal growth. Student Programme Enterprise Computing Project Area Educational, Natural Language Processing, Software Development, Speech Recognition, Web Application Project Technology CSS, HTML5, JavaScript, Python, React.js Student Name(s) Fergal Swaine  |  AdamHendricken Email fergal.swaine2@mail.dcu.ie  |   adam.hendricken6@mail.dcu.ie Supervisor Dr JohnMcKenna 14. Text Classification Tools for EnhancingDigital Game-Based Language Learning for Irish Digital game-based language learning (DGBLL) can help with the language learning process. Some DGBLL apps may utilise texts that require an assigned difficulty level. Text classification tools should be available to DGBLL developers to incorporate suitable texts into their games. There are few resources for text classification available for low-resource languages such as Irish. In this paper, we explore machine learning-based approaches to the development of text classifiers for Irish. The development of these text classifiers is at an early stage and shows promise, particularly in a low-resourced scenario. Future research includes comparing these classification tools with human-rated gold standard corpus and seeing if they can be used as a scalable approach to text classification for Irish. Student Programme Data Science Project Area Artificial Intelligence, Data Analytics, Educational, Natural Language Processing Project Technology Excel/VB, Python, XML, Machine Learning Student Name(s) LeonaMcCahill  |  Thomas Baltazar Email leona.mccahill2@mail.dcu.ie  |   thomas.baltazar2@mail.dcu.ie Supervisor Dr Jennifer Foster