DCU Expo 2024 - Final Year Projects

66 108. Agricultural Toolkit that Aims to Reduce Carbon Emissions This project identifies solutions to reduce carbon emissions and increase the carbon efficiency in agriculture by targeting three areas that emit the most emissions which are enteric fermentation, soil, andmanure management. The objective of the toolkit is to highlight sustainable farmingmethods (that apply to the three areas in agriculture) to farmers and people who work in the farming industry but also to educate themabout the importance of sustainability in agriculture. Student Programme Mechanical and Sustainability Engineering Project Area Renewable Energy Technology Project Technology Excel/VB Student Name(s) Michael Barron Email michael.barron24@mail.dcu.ie Supervisor Dr AnneMorrissey 109. Road Sign Colour Detection Using Programmable Colour Filters (PCF) In this project, an approach has been employed from the field of image processing to identify and detect the various colours of road signs. Through image analysis, the system interprets visual data, discerning nuances in colouration that correspond to various road sign categories. This methodology not only showcases a proficiency in traditional image processing but also demonstrates the efficiency of road sign colour recognition, contributing to the advancement of intelligent transportation systems and overall road safety. Student Programme Mechatronic Engineering (Year 4) Project Area Artificial Intelligence, Automation, Automotive Technology, Image/Video Processing, Software Development Project Technology Python Student Name(s) Shehar Basit Email sheharbasit@gmail.com Supervisor Prof Paul Whelan 110. Codepair - Code Collaboration Platform CodePair is an innovative code collaboration platformdesigned to revolutionise pair programming, offering a shared coding environment in real-time, enablingmultiple users to code simultaneously. CodePair offers GitHub integration, streamlining repository interactions, allowing for swift commits and easy transitions between individual and collaborative work. Built using backend technologies such as Node.js and Docker, CodePair provides containerised coding environments, which lets users run and test their code securely and independently. This platform has a range of use cases from job interviews, professional pair programming sessions to college projects. CodePair aims to transform collaborative coding, making it more accessible, efficient, and secure for developers and students alike. Student Programme Computer Applications Project Area Cloud Computing, Software Development, Web Application Project Technology CSS, Docker, HTML5, JavaScript, MongoDB, Nodejs, REST, React.js, Next.js Student Name(s) DuarteMartinho  |  LiamMolloy Email duarte.martinho46@mail.dcu.ie  |   liam.molloy23@mail.dcu.ie Supervisor Dr Stephen Blott