DCU Expo 2024 - Final Year Projects
89 177. DriveReady DriveReady is a cutting-edge driving lesson management application specifically tailored for driving instructors across Ireland. Its primary goal is to revolutionise the current booking process, liberating instructors from the time-consuming task of manual scheduling, focusingmore on teaching and less on administrative intricacies. The platform integrates modern technology to simplify the process of scheduling, managing, and enhancing driving lessons, providing a seamless connection between instructors and learners from sign-up to becoming a confident and responsible driver. Student Programme Enterprise Computing Project Area E-Commerce, Educational, Software Development, Web Application Project Technology CSS, HTML5, JavaScript, Python, SQLite, Django Student Name(s) Robbie Keegan | Marcus Evans Email robbie.keegan24@mail.dcu.ie | marcus.evans4@mail.dcu.ie Supervisor Dr Dongyun Nie 178. ProductiveAI ProductiveAI is a web application designed to allow users to interact with AI through text or voice commands, and automate repetitive tasks such as sending emails, retrieving information, setting reminders or playingmusic. Users will be able to set reminders, play their favourite songs or playlists from Spotify, send emails via Gmail, and retrieve information from the web, all with the help of AI through voice commands or text. These features, with speech recognition and text-to-text capabilities, will help users complete andmonitor their daily tasks with ease and improve their overall productivity and efficiency. Class Computer Applications Project Area Artificial Intelligence, Automation, Information Retrieval, Instant Messaging, Natural Language Processing, Software Development, Speech Recognition, Web Application Project Technology CSS, Docker, HTML5, JavaScript, MongoDB, Nodejs, React.js, Machine Learning Student Name(s) Kevin Petrusevic | Dylan Corbari Email kevin.petrusevic2@mail.dcu.ie | dylan.corbari2@mail.dcu.ie Supervisor Prof TomasWard 179. Torque Unleashed: AlgorithmDesign for InductionMotor Curve Generation UsingManufacturer Parameters andDynamometer Insights The rise of electric vehicles (EVs) has opened up innovative avenues in the automotive industry, particularly in converting traditional internal combustion engine (ICE) vehicles into electrically powered counterparts. A crucial aspect of this transformation involves the utilisation of induction motors, which presents its own set of challenges, especially in the efficient and rapid estimation of the motor’s parameters. The aim is to devise an algorithm that can generate torque and speed curves based on information available from the manufacturer. This approach is novel as the motors being tested are installed in the cars and not removed for any kind of testing. Dynamometer testing is used to compare the output of the algorithmwith real-life results. Student Programme Mechatronic Engineering (Year 4) Project Area Automotive Technology, Circuit Modelling, Control Systems, Data Analytics, Information Retrieval, Power Electronics, Sensor Data, Simulation, Vehicle Control Project Technology C/C++, Excel/VB, Matlab, Python, Simulink Student Name(s) Bhartendu Sharma Email bhartendu.sharma2@mail.dcu.ie Supervisor Dr James Carton
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