DCU-Final-Year-Projects-Booklet-2025

94 186. Shift Shift is a Peer-to-Peer (P2P) car rental marketplace that connects car owners with renters seeking flexible, affordable options. Built on the sharing economy, Shift maximises vehicle use, allowing owners to earn extra income while offering tailored solutions. The app features a user-friendly interface where renters can browse detailed car listings, including photos, specifications, and reviews. Rental periods range froma day to several months, based on owner preferences. Once booked, renters can access the car’s location and use a private chat to coordinate logistics, such as pickup. Serving Ireland, Shift promotes sustainability by optimising vehicle use and providing a cost-effective transport alternative. Student Programme Computing for Business Project Area Web Application, Peer-to-Peer Car Rental Marketplace focused on connecting car owners and renters, leveraging sharing economy principles. Project Technology CSS, HTML5, JavaScript, Python, SQLite, Django, Bootstrap Student Name(s) SeanWhelan  |  Karl von Schmieder Email sean.whelan57@mail.dcu.ie  |  karl.vonschmieder2@mail.dcu.ie Supervisor Dr Sahraoui Dhelim 187. Stompbox-Style DrumMachine for Live Performance This project develops a compact, foot-operated drummachine by modifying the open-source BeatBuddy Manager software. The graphical user interface (GUI) is removed, replaced with a command-line interface (CLI), and adapted for control via foot switches. The software runs on amicrocontroller using GPIO pins for input. By integrating hardware and optimising performance, the system enables musicians to trigger drumpatterns and transitions hands-free in live settings. This solution enhances portability and usability, providing a seamless and efficient rhythm control tool for performers. Student Programme Electronic and Computer Engineering (Year 4) Project Area Embedded Systems, RaspberryPi, Software Development Project Technology C/C++ Student Name(s) Rory Hughes Email rory.hughes43@mail.dcu.ie Supervisor Dr Martin Collier 188. Lifestyle BasedDating App The idea/final implementation of this project is to create a dating application that uses the user’s location to track their daily activities andmatch themwith other users who have similar activities. This eliminates the need for users tomanually input their interests or guess what their interests might be. The project was split into three phases. The first phase focused on creating a basic dating application without any unique recommendation features. The second phase involved enhancing the app with location-based services and a basic recommendation system. Finally, the third phase explored experimental ideas to differentiate the project fromother dating applications. Student Programme Computer Science Project Area Android, Databases, GPS/GIS, Instant Messaging, Intelligence Pattern Matching, Mobile App, Security, Social Networking, Software Development Project Technology JavaScript, MongoDB, Nodejs, Python, Machine Learning Student Name(s) Samuel Barnett  |  Conor Tilley Email samuel.barnett2@mail.dcu.ie  |  conor.tilley2@mail.dcu.ie Supervisor Dr Sahraoui Dhelim