DCU-Final-Year-Projects-Booklet-2025

107 225. Advanced 3DMicrostructuredDevices for Axon Growth andNerve Regeneration Using Two-Photon Polymerisation This project focuses on the design and development of advancedmicro- and nanostructured devices using two-photon polymerisation (2PP) techniques to support the growth and study of axons for nerve regeneration purposes. Two-photon polymerisation enables the precise fabrication of complex 3D structures at the microscale, making it an ideal technique for creating environments that mimic the natural extracellular matrix, providing optimal conditions for axon guidance, growth, and connectivity. These devices could play a crucial role in advancing research in neurobiology and regenerative medicine, potentially leading to improved therapeutic strategies for nerve injuries and neurodegenerative diseases. Student Programme Mechanical andManufacturing Engineering (Year 5) Project Area 3-DModelling, AdvancedMaterial Engineering, Biomedical Engineering, Device Design Project Technology Nerve Regeneration Student Name(s) Daire Smyth Email daire.smyth34@mail.dcu.ie Supervisor Dr Éadaoin Carthy 226. Auto-Bookkeeper This project presents an AI-driven invoice scanner, a standalone desktop application designed to simplify invoice management for SMEs. It automates the extraction of key data, such as invoice numbers, dates, vendor details, and totals, using advanced OCR (Optical Character Recognition) and NLP (Natural Language Processing) technologies. The application prioritises data privacy by operating locally, ensuring sensitive financial information remains secure. With a user-friendly interface, users can upload invoices, validate and edit extracted data, and export results in formats such as CSV or Excel. Extracted data is securely stored in a local MySQL database for offline access andmanagement. Key features include drag-and-drop functionality, automated error detection, and report generation, enabling significant time and cost savings. Student Programme Computing for Business Project Area Artificial Intelligence, Automation, Computer Vision, Content Management System, Image/Video Processing, Natural Language Processing Project Technology CSS, HTML5, JavaScript, MySQL, Python, React.js, Machine Learning Student Name(s) Evan Barry  |  Jervin Baylon Email evan.barry34@mail.dcu.ie   |  jervin.baylon2@mail.dcu.ie Supervisor Dr Stephen Blott 227. myFridge: Scan ItemBarcodesWith Your Phone for Product Details This project is an iOSmobile application designed to help users manage their food inventory more efficiently, minimise food waste, and promote healthier eating habits. It integrates features such as barcode scanning, expiration date tracking, and recipe suggestions. The application serves as a digital food inventory, allowing users to track food items and their expiration dates. Additionally, there is a Food Diary that provides users with insights into their nutritional values, represented in charts for easier visualisation. Multi-user collaboration is another key feature, enabling users to share access to each other’s pantries—making it ideal for families or housemates whomanage food together. Student Programme Computer Science Project Area Data Analytics, Databases, Information Retrieval, Mobile App, Optical Character Recognition, Software Development, iOs Project Technology NoSQL, Swift Student Name(s) Daniel Marcu  |  Ben Rory Peng Email daniel.marcu2@mail.dcu.ie  |  ben.peng3@mail.dcu.ie Supervisor Dr GrahamHealy