DCU Expo 2024 - Final Year Projects

90 180. Validation of aNovel Method for the Analysis of theMechanical Properties of Single Coral Particles Using a Statistical Approach This project aims to validate a novel method of analysing the mechanical properties of single coral particles using a statistical approach. Coral has been used as a bone graft substitute for several years, but due to its irregular shape and brittleness, it can be challenging to perform standardmechanical tests. During this project, diametral tensile testing is performed on irregularly shaped coral particles and the results are analysed using statistics. UsingWeibull’s method, this project examines the effect particle size has on the strength of single coral particles, as well as investigating the effect of loading rate. Additionally, the effect circularity has on the strength of the particles is analysed. The porosity is also examined usingmercury porosimetry and SEM. Student Programme Biomedical Engineering (Year 5) Project Area AdvancedMaterial Engineering, Biomedical Engineering, Statistical Analysis, Materials Testing Project Technology Excel/VB, ImageJ, SPSS Student Name(s) Shane Verdon Email shane.verdon3@mail.dcu.ie Supervisor Dr Owen Clarkin 181. MediBook MediBook intends to provide a complete healthcare management system for healthcare centres. It will be available to patients and doctors, with the primary objective of transforming appointment scheduling, information accessibility, schedule management, and other significant shortcomings in the present healthcare system. Student Programme Computer Applications Project Area Cloud Computing, Databases, Image/Video Processing, Security, Telecommunications, Web Application, Medical Project Technology CSS, HTML5, JavaScript, MongoDB, React.js Student Name(s) Rion Xheladini  |  Sean Osamagbe Ogida Email rion.xheladini2@mail.dcu.ie   |   osamagbe.ogida2@mail.dcu.ie Supervisor Dr Michael Scriney 182. MediScanAI MediScanAI is a pioneering project leveraging Django-based framework andmachine learning for detectingmental health conditions such as depression and anxiety. The platform includes a chatbot interface to facilitate user interaction. Tailored for university environments like DCU, it holds potential for enhancingmental health support services for students. By offering early detection and intervention, it aims to contribute significantly to student well-being and development. Through its innovative approach, MediScanAI exemplifies the fusion of technology andmental health care, fostering a supportive and proactive community within educational institutions. Student Programme Enterprise Computing Project Area Artificial Intelligence, Educational, Information Retrieval Project Technology CSS, HTML5, JQuery, JavaScript, Python, Machine Learning Student Name(s) Hillary Okonkwo  |  Susan Ayeni Email hillary.okonkwo2@mail.dcu.ie  |   susan.ayeni2@mail.dcu.ie Supervisor Dr Dongyun Nie