DCU-Final-Year-Projects-Booklet-2025

102 210. oliLens: An AI-Driven Political Bias and Fact-Checking Tool PoliLens is an integrated systemwith a browser extension and app that promotes informed online engagement. The extension allows users to analyse web articles in real time, scraping content and sending it to the app for further analysis. Usingmachine learning, the app evaluates political bias, verifies facts, and conducts sentiment analysis. Results are sent back to the extension, providing instant insights. The app also enables users tomanage results, save previously scanned articles, and access historical data. This system enhances digital literacy by delivering transparent, data-driven insights, helping users critically assess online content. Student Programme Computer Science Project Area Artificial Intelligence, Information Retrieval, Natural Language Processing, Software Development, Web Application Project Technology CSS, HTML5, JavaScript, Python, SQL, React.js, Machine Learning, Web Scraper Student Name(s) Timothy Solovyov  |  Hephzibah Bode-Favours Email timothy.solovyov2@mail.dcu.ie  |  hephzibah.bodefavours2@mail.dcu.ie Supervisor Dr Mark Humphrys 211. MaternityCare MaternityCare is a project aiming to develop a new digital health solution to support expectant mothers in the Dublin Area throughout their pregnancy journey. The app provides features such as a personalised timeline to keep track of all milestones and other necessary events along with timers tomonitor events and track when they occur, With the use of API integrations we aim to keep all appointments and alerts in a simple navigable platform. Other educational resources for our users will be from reputable sources. The app caters to urban and suburban residents of Dublin addressing challenges we have researched and investigated into. Issues such as lack of accessible resources and appointment organisation issues where we have aimed to address and reduce any problems in these areas. Student Programme Computing for Business Project Area Web Application Project Technology Java, JavaScript, Python Student Name(s) Yong Xing Kong  |  Fionn Conlon Email Yong.kong2@mail.dcu.ie   |  fionn.conlon4@mail.dcu.ie Supervisor Dr Dongyun Robin Nie 212. Crosstalk Reduction Electronic drums are normally mounted on a single frame. When a drumor cymbal is hit, vibrations can pass through the frame to other parts. They can be detected by the sensors in those other drums and cymbals, and, if the vibrations are large enough, they can cause the electronic drummodule to incorrectly detect themas hits. So, for example, a hit on a drumpadmay cause the correct drum sound to be produced, but also one or more other sounds to incorrectly be produced. This project tests mechanical methods for reducing crosstalk, both experimentally and using finite element analysis (FEA). One experimental method involves adding foam to dampen the vibrations. The secondmethod to be examined, involves scattering the waves travelling through the frame. Student Programme Mechanical andManufacturing Engineering (Year 5) Project Area 3-DModelling, Finite Element Analysis Project Technology ANSYSWorkbench, Excel/VB, Solidworks, Audacity Student Name(s) AbrahamOdekeye Email abraham.odekeye2@mail.dcu.ie Supervisor Dr Alan Kennedy