DCU Expo 2024 - Final Year Projects

72 126. Investigation of the Travelling Salesman Problem The travelling salesman problempresents an issue that involves a salesman whomust visit several cities at once and return to the starting point by taking the shortest route tominimise distance and time spent on the journey. The travelling salesman problem, known as TSP, is a prominent model in various fields to date, such as Mathematics, Computer Science, and Operations Research. The Travelling Salesman Problem (TSP) involves determining the most efficient route that traverses all nodes, resulting in the lowest overall travel cost. It introduces a common combinatorial optimisation problem that is critical to the subject of optimisation. Student Programme Mechanical andManufacturing Engineering (Year 4) Project Area Data Analytics Project Technology Python, R Student Name(s) Jude Offor Email judethaddeus.offor2@mail.dcu.ie Supervisor Dr John Geraghty 127. Discord Gamebot Introducing a unique Discord gamebot helper designed to provide personalised assistance to gamers stuck at challenging levels. This bot offers tailored tips and walkthroughs directly through Discord, ensuring players receive the precise help they need. Complementing this, the project includes a website for users to journal their gaming journey, enhancing community engagement and shared learning. A feedback formon the site invites user input, driving continuous improvement. This comprehensive approach not only helps gamers overcome obstacles but also enriches their experience by fostering a supportive gaming environment. Student Programme Computer Applications Project Area Artificial Intelligence, Databases, Gaming, Natural Language Processing, Web Application, Chatbot Project Technology CSS, JavaScript, Nodejs, React.js, Machine Learning, Typescript, Pinecone Student Name(s) Oluwatobiloba Olaoye  |  Colin Ekedigwe Email oluwatobiloba.olaoye2@mail.dcu.ie   |   colin.ekedigwe2@mail.dcu.ie Supervisor Prof TomásWard 128. Human-Machine Interaction: Implementing a Light Contact Grasp System The project investigates the development of a “light contact” grasp system. It is focused on a custom- designed robotic hand in human form to safely handle fragile objects. Controlled through a computer vision-based gesture capture system using theMediaPipe framework, the humanoid robotic gripper integrates sensors for secure yet gentle object manipulation. The work involved in this project included research and design of an output system, incorporating electronics into amovingmechanical system, and interfacing a Python input system to control the movement on a resource-constrained hardware-based output system. The project’s significance lies in its potential to replicate human-like dexterity in industrial applications, exemplified by its ability to delicately hold objects such as eggs without damage. Student Programme Mechatronic Engineering (Year 4) Project Area 3-DModelling, Arduino, Computer Vision, Mechatronic Systems, Robotics, Sensor Data, Software Development, Human-Computer Interaction Project Technology C/C++, Python, Solidworks Student Name(s) Sharan Sambaturu  Email sharan.sambaturu2@mail.dcu.ie Supervisor Dr Leah Ridgway