DCU-Final-Year-Projects-Booklet-2025

121 267. DocGenie This project enhances employee productivity by providing seamless access to internal company data through a unified query platform. DocGenie addresses this by integratingmultiple data stores and enabling secure, accurate responses tailored to user permissions. DocGenie is a web-based application that uses retrieval-augmented generation (RAG) and a large language model (LLM) to query both SQL and non-SQL data stores froma centralised interface. Amulti-agent system, coordinated via the LangGraph framework, retrieves fragmented data securely, reconciles changes, andmitigates hallucinations. Automated data reconciliation ensures consistency without user intervention, providing secure, personalised access to organizational knowledge for confident decision-making. Student Programme Computer Science Project Area Artificial Intelligence, Databases, Information Retrieval, Retrieval Augmented Generation Project Technology CSS, HTML5, JavaScript, Python, REST, SQLite, React.js Student Name(s) Shane Power  |  Razvan Gorea Email shane.power52@mail.dcu.ie  |  razvan.gorea2@mail.dcu.ie Supervisor Prof TomasWard 268. FEModeling of Electronic DrumSensor This project builds on existing work by developing and testing a finite element model of a sensor assembly froman electronic drumpad. The assembly comprises multiple foamandmetal components, along with a piezoelectric sensor. The primary objective is to improve the accuracy of the current model. This involves three key aspects: refiningmaterial properties by directly measuring the real materials, enhancing the calculation of the model’s main output (the sensor’s voltage), and validating the model by comparing its results with experimental data. A secondary aim is to use the model to assess howmodifications to the geometry of the main foam element affect performance. Student Programme Mechanical and Sustainability Engineering (Year 5) Project Area 3-DModelling, Finite Element Analysis Project Technology ANSYSWorkbench Student Name(s) Liam Farrell Email liam.farrell67@mail.dcu.ie Supervisor Dr Alan Kennedy 269. Dublin Delights Dublin Delights is a cutting-edge website designed to enhance how visitors experience Dublin’s landmarks, eateries, coffee shops, gyms, and events. Built on the Django framework, it offers sophisticated search capabilities and a rating system to provide unbiased and customised suggestions. With secure data processing, the platformprioritises user-friendliness and ensures device accessibility while adhering to data protection laws, such as GDPR. The prototype highlights features including user registration, customised profiles, and a simplified search engine with user-friendly filters. By integrating technology with Dublin’s vibrant local culture, the platformaims to introduce users to the city’s many attractions, encouraging exploration and interaction for both locals and tourists. Student Programme Computing for Business Project Area Cloud Computing, Content Management System, Data Analytics, Image/Video Processing, Social Networking, Human-computer Interaction, Materials Testing, Search Engine Optimisation Project Technology CSS, MySQL, Python, SQL, XML Student Name(s) Ginikachi Nliam  |  Zoe Gargan Email ginikachi.nliam2@mail.dcu.ie   |  zoe.gargan2@mail.dcu.ie Supervisor Prof Cathal Gurrin