DCU-Final-Year-Projects-Booklet-2025

38 18. ImageShark For private functions such as weddings, business meetings and other parties, ImageShark is an online platform that makes it easier and safer to transfer event photos and videos. The participants use QR codes that generate so-called “magic links” to open media using the platform’s token-based system, which expires every 30minutes. In this way, the only user accounts will be the people creating the rooms. Using this, users can easily view and download event media in the private virtual rooms without having to juggle between multiple platforms. Built with Flask, PostgreSQL, and TailwindCSS, ImageShark addresses inefficiencies in current solutions. Student Programme Computing for Business Project Area Image/Video Processing, Multimedia, Web Application Project Technology HTML5, JavaScript, Python, Flask, PostgreSQL, TailwindCSS Student Name(s) Marco-Antonio Luchian  |  Patrick Nouaha-Ajibade Email luchian.marco-antonio2@mail.dcu.ie  |  patrick.nouahaajibade2@mail.dcu.ie Supervisor Dr Michael Scriney 19. What To DoWith Solar PanelsWhen They Break? This project explores the feasibility of repairing damaged solar panels to extend their lifespan and reduce waste. It examines different levels of front glass and backsheet damage, testing three repair methods to restore functionality. A custom-built monitoring rig, equipped with data loggers, measures voltage and current output to assess performance. The study evaluates whether repaired panels can operate efficiently enough to justify the cost of repairs. By preventing premature disposal, this research supports circular economy practices in the solar industry, reducing environmental impact and informing future repair strategies. Student Programme Mechanical and Sustainability Engineering (Year 5) Project Area Arduino, Electric Generation, Renewable Energy Technology, Sensor Data, Materials Testing Project Technology Excel/VB Student Name(s) BryanMcDevitt Email bryan.mcdevitt3@mail.dcu.ie Supervisor Dr James Carton 20. Automation of HVAC Systems This project focuses on improving and expanding the automation of HVAC systems. Modern commercial buildings increasingly incorporate variable air volume (VAV) controls, allowing systems to automatically adjust airflow based on inputs such as temperature variations across different zones. However, current systems typically rely only on VAV control boxes to regulate airflow at the zone level, meaning individual outlets within each zone still require manual commissioning and balancing. As some zones contain over twenty outlets, this project explores potential methods to further automate these systems, enhancing efficiency and reducingmanual intervention. Student Programme Mechatronic Engineering (Year 4) Project Area Automation Project Technology C/C++, Matlab, Scilab, Simulink Student Name(s) Patrick Gourley Email patrick.gourley2@mail.dcu.ie Supervisor Dr Paul Young