DCU-Final-Year-Projects-Booklet-2025

67 105. Exploring Solar Solutions for Buildings: Solar Thermal, Solar Photovoltaic, and Passive Techniques VeriSocial is a platformdesigned to foster authentic human interaction by detecting and filtering out AI-generated content and bot activity. With the rise of AI content and bot activity in the online space, distinguishing between real users and artificial ones has become challenging. VeriSocial aims to address this issue by integrating AI-driven content verification and bot detection mechanisms to ensure an environment free of inauthentic engagement. The platformallows users to create and share posts, interact with others and engage in interactive challenges to enhance their AI awareness. Developed with the goal of prioritising authenticity, VeriSocial aims to restore trust in the digital landscape. Student Programme Mechanical and Sustainability Engineering (Year 4) Project Area 3-DModelling, Renewable Energy Technology, Simulation Project Technology DesignBuilder Student Name(s) Daniel Tumulty Email tumulty.daniel2@mail.dcu.ie Supervisor Dr Reihaneh Aghamolaei 106. Testing SuitableMotors for EVs This project investigates the performance and efficiency of electric vehicle motors, focusing specifically on the Lexus 450h motor. A custom-designed test rig is used to analyse motor behaviour across different operatingmodes. The system includes a Vehicle Control Unit (VCU), inverter, and power supply, with a potentiometer in the milliamp range acting as a throttle pedal to control acceleration. The VCU is programmed to process throttle inputs, manage power delivery, and optimise motor performance. Real-time data collection on power consumption, torque, and efficiency provides valuable insights into EV powertrain optimisation, contributing to the development of more efficient and sustainable electric vehicle technology. Student Programme Mechatronic Engineering (Year 5) Project Area Automotive Technology, Embedded Systems, Mechatronic Systems, Power Electronics, Sensor Data, Vehicle Control Project Technology C/C++, Digital Signal Processing Student Name(s) AndreaMassaro Email andrea.massaro2@mail.dcu.ie Supervisor Dr James Carton 107. Vocalise This project involves developing a speech therapy web app designed to provide AI-driven feedback for individuals with speech challenges. It aims to support those with speech impairments caused by conditions such as stroke, traumatic brain injury, or other speech-related disorders. By analyzing user inputs through speech recognition, the app identifies pronunciation errors and fluency issues, offering real-time feedback. This is especially valuable for individuals who need continuous practice outside of regular therapy sessions. The theoretical foundation of this project is based on established speech therapy techniques and the latest advancements in speech recognition technology. Student Programme Computing for Business Project Area Artificial Intelligence, Educational, Natural Language Processing, Speech Recognition, Web Application Project Technology CSS, HTML5, JavaScript, Python, Machine Learning Student Name(s) Dylan Crowe  |  Jennifer Trainer Email dylan.crowe7@mail.dcu.ie   |  jennifer.trainer2@mail.dcu.ie Supervisor Dr JohnMcKenna