DCU Expo 2024 - Final Year Projects

45 45. ForkNFind ForkNFind is amobile application for anyone looking to find their next place to eat and drink. Using a machine learning recommender system to identify trends in the users’ tastes and preferences, ForkNFind will suggest the most relevant spots for its users. This mobile app will allow people to view, search and filter nearby restaurants. Using natural language processing techniques such as sentiment analysis, the user can create and view the restaurants’ reviews showing its sentiment. Student Programme Computer Applications Project Area Android, Databases, Mobile App, Natural Language Processing, Software Development, Statistical Analysis Project Technology Docker, JavaScript, Python, REST, SQLite, Machine Learning, React Native, Django, Information Filtering Systems Student Name(s) Thomas Hazekamp  |  Eoin Daly Email thomas.hazekamp2@mail.dcu.ie  |   eoin.daly54@mail.dcu.ie Supervisor Dr Brian Davis 46. Single ValueMetric for Text-To-VideoModel Evaluation This project adopts a data-driven approach mergingmachine learning and human perception to develop a comprehensive quality assessment metric for text-to-video (T2V) content. Analysing T2Vmodel- generated videos alongside human-rated quality scores, key features are extracted and a hybrid neural networkmodel is devised. Thismodel, incorporating convolutional and recurrent neural networks, evaluates video alignment with input text and overall quality, considering diverse opinions. Beyond T2V video evaluation, the adaptable and versatile methodology contributes to automated content assessment, bridging the gap between AI-generated content and human perception. The aimwas to set a standard for T2Vmodel quality assessment, enhancing user experiences and fostering responsible AI usage. Student Programme Data Science Project Area Artificial Intelligence, Data Analytics, Image/Video Processing, Natural Language Processing Project Technology Python, Machine Learning Student Name(s) Éabha O’Meara  |  Clodagh Kelly Email eabha.omeara7@mail.dcu.ie   |   clodagh.kelly322@mail.dcu.ie Supervisor Prof TomásWard 47. Design, Simulation andOptimisation of Industrial Microgrid Systems: ADual-Objective Approach toMinimise Net Present Cost and CO 2 Emissions Using a Chicken Processing Facility in theWest of Ireland as a Case Study This project develops and implements amethodology for the design, simulation, and optimisation of microgrids within industrial settings. By focusing on a chicken processing facility in the west of Ireland, this project strikes a delicate balance between minimising an energy system’s net present cost and carbon dioxide emissions. The dual-objective approach addresses the pressing need for sustainable energy solutions in industry, ensuring economic viability while contributing to environmental preservation. By modelling various microgrid scenarios tomeet a facility’s energy needs, and developing amulti-criteria optimisation algorithm, this project pinpoints optimal configurations and strategies for industrial microgrids, offering a blueprint for energy efficiency and sustainability. Student Programme Mechatronic Engineering (Year 5) Project Area Energy Conservation, Mechatronic Systems, Power Electronics, Renewable Energy Technology, Simulation, Microgrid Technologies Project Technology Matlab, Python, Simulink, Homer ProMicrogrid Software Student Name(s) IanMorris Email ian.morris4@mail.dcu.ie Supervisor Dr Reihaneh Aghamolaei