DCU-Final-Year-Projects-Booklet-2025

124 276. HireTrack This project develops a web-based platform to assist job seekers in managing job applications and improving their CVs. The systemallows users to upload CVs, receive match scores based on job descriptions, and track job applications efficiently. Recruiters can filter candidates based on skills and experience to streamline the hiring process. An interactive dashboard provides job seekers with insights into their applications, interviews, and success rates. The collaborative editing feature enables real-time mentor feedback. By integrating advanced search and recommendation features, this project enhances the job search experience, making it more data-driven and efficient. Student Programme Computer Science Project Area Artificial Intelligence, Data Analytics, DataMining, Databases, Information Retrieval, Natural Language Processing, Software Development, Web Application, Human-computer Interaction Project Technology HTML5, Nodejs, Python, REST, SQL, React.js, Machine Learning Student Name(s) Anushree Umak  |  Siri Nandipaty Email anushree.umak2@mail.dcu.ie   |  siri.nandipaty2@mail.dcu.ie Supervisor Dr GrahamHealy 277. AutomatingWarmup Analysis in Discrete Event Simulation Determining the warm-up period in Discrete Event Simulation is crucial to prevent erroneous data. This project aims to develop a tool that automatically identifies the optimal warm-up period in an ExtendSim model based on output data. By streamlining this process, the tool allows users to focus on interpreting results without the need for manual trial and error. A R Shiny app was developed with an intuitive graphical user interface that guides users through the process with detailed steps, plots, and visual aids, helping themgain a deeper understanding of their model. Additionally, the tool generates a report based on user input for educational purposes. Student Programme Mechanical and Sustainability Engineering (Year 5) Project Area Automation, Educational, Simulation Project Technology ExtendSIM, R Student Name(s) Conall Doyle Email conallddoyle@gmail.com Supervisor Dr John Geraghty 278. FarmaTech FarmaTech is a blockchain-based web application developed to combat counterfeit medicines by ensuring supply chain transparency and security. The system enables pharmaceutical manufacturers to register their products and generate unique encrypted QR codes that serve as digital certificates of authenticity. As medicines progress through the supply chain, authorised distributors and regulatory bodies scan these QR codes to verify the integrity and update the blockchain with relevant data. This process immediately flags any tampering. The application leverages Hyperledger Fabric blockchain technology tomaintain an immutable ledger that records all transactions throughout amedicine’s lifecycle. End users can scan the QR codes to verify the medicine’s legitimacy and access information about its journey. Student Programme Computer Science Project Area Artificial Intelligence, Cryptography, Databases, Security, Software Development, Web Application, Blockchain Technology Project Technology CSS, Docker, Go, HTML5, JQuery, JavaScript, MongoDB, Nodejs, React.js, Hyperledger Fabric Student Name(s) Faizan Ali Shah  |  Abhijit Mahal Email faizan.shah3@mail.dcu.ie  |  abhijit.mahal2@mail.dcu.ie Supervisor Dr Irina Tal