{"id":6447,"date":"2025-07-23T14:53:54","date_gmt":"2025-07-23T14:53:54","guid":{"rendered":"https:\/\/blog.westminster.ac.uk\/wearewestminster\/?p=6447"},"modified":"2025-07-23T14:53:55","modified_gmt":"2025-07-23T14:53:55","slug":"celebrating-innovation-at-the-computer-science-and-engineering-final-year-project-showcase","status":"publish","type":"post","link":"https:\/\/blog.westminster.ac.uk\/wearewestminster\/celebrating-innovation-at-the-computer-science-and-engineering-final-year-project-showcase\/","title":{"rendered":"Celebrating Innovation at the Computer Science and Engineering Final Year Project Showcase"},"content":{"rendered":"\n

This year our School of Computer Science and Enginneering proudly partnered with leading IT services company Netcompany to host the annual Final Year Project (FYP) Showcase. The event, now in its fourth year, celebrated the outstanding work of final-year students and offered them the opportunity to present their innovative projects to professionals from Netcompany<\/a> and Smart DCC<\/a>. The showcase not only provided a platform for valuable industry feedback but also gave students the chance to compete for top prizes, including first, second, and third place awards and a special Social Impact prize.<\/p>\n\n\n\n

From over 400 final year submissions across the School, ten of the most impressive projects were selected for presentation. Students pitched their work to a panel of industry experts, sharing real-world solutions powered by cutting-edge technologies from AI and blockchain to smart cards and machine learning.<\/p>\n\n\n\n

We spoke with four standout students to learn more about their projects and what they gained from their time at Westminster.<\/p>\n\n\n\n

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Featured Student Projects<\/strong><\/h2>\n\n\n\n
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Alisha Javed \u2013 Java Smart Card Technology \u2013 Smart Computer Systems BEng now Software Engineering with Electronics BEng<\/a><\/strong><\/p>\n\n\n\n

Alisha developed a secure access control system using Java Smart Card technology, aimed at eliminating the risks of storing biometric data on central servers. Her system stores fingerprint and iris data directly on the card, enhancing both security and privacy. Built with tools such as Python, OpenCV, jCardSim, and Java Swig, her project includes key features like encryption, role-based access, and CAPTCHA protection. Alisha highlighted the practical nature of her course at Westminster and credits it for building her confidence and technical skills. She has secured a role as a Software Engineer post-graduation.<\/p>\n\n\n\n

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Hewage Dinuka Amarasinghe \u2013 NeighbourSkill: Blockchain-Powered Community Skill Exchange \u2013 Computer Science BSc<\/a><\/strong><\/p>\n\n\n\n

Dinuka\u2019s project, NeighbourSkill<\/em>, is a decentralised platform for local skill-sharing. Inspired by time banking and motivated by a desire to use blockchain for social good, the platform leverages Ethereum smart contracts and a custom ERC-20 token (TCR) to promote fair, transparent, and autonomous local service sharing. Developed with React, TailwindCSS, Solidity, and deployed on the Sepolia testnet, the platform features MetaMask integration, dispute resolution, and smart escrow functionality. It addresses the limitations of traditional freelance and time-banking models by offering a more scalable, secure, and inclusive alternative.<\/p>\n\n\n\n

Hewage\u2019s final project was the highlight of his time at Westminster, where he pushed himself to learn entirely new technologies and concepts, including blockchain development and smart contract implementation. Supported by an encouraging supervisor, he developed a socially impactful solution that demonstrates the potential of blockchain beyond cryptocurrency and NFTs. His experience has solidified his ambition to pursue a career in both front-end and back-end development.<\/p>\n\n\n\n

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Rachel Naadia Cooray \u2013 PCOS Care: A Machine Learning Diagnosis Tool<\/strong> \u2013 Computer Science BSc<\/strong><\/a><\/p>\n\n\n\n

Rachel\u2019s project, PCOS Care<\/em>, addresses the underdiagnosis of Polycystic Ovary Syndrome (PCOS) by providing a web-based risk assessment tool powered by machine learning. Users can input health data for real-time predictions, with or without clinical test results. Built with Streamlit, Flask, and supported by a multi-model backend, Rachel\u2019s project incorporates techniques like SMOTE and sensitivity analysis for enhanced accuracy. Key features include interactive data input forms, real-time risk prediction, and educational content from trusted sources such as the NHS.<\/p>\n\n\n\n

Her passion for the topic was driven by personal interest and the opportunity to work with an accessible dataset, which made the project both meaningful and impactful. Being selected for the university\u2019s final year showcase was a proud moment, reflecting the strength of her project and performance. Rachel\u2019s project won third prize at the event.<\/p>\n\n\n\n

Rachel describes her experience at Westminster as supportive and inspiring, praising the excellent facilities and approachable staff. Looking ahead, she plans to pursue a career in data science, followed by a Master\u2019s degree in the field.<\/p>\n\n\n\n

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Shannon Noronha \u2013 Travelerz Pal: Smart AI Travel Planner App<\/strong> \u2013 Business Information Systems BSc now <\/strong>Business Computing BSc<\/strong><\/a><\/p>\n\n\n\n

Shannon created Travelerz Pal<\/em>, a mobile app that uses AI to streamline travel planning. Designed for casual tourists, it combines personalised itineraries, budgeting tools, activity suggestions, and a built-in community forum, all in one platform. Developed using React Native, Firebase, the Gemini API, and Google Places API, the app features an intuitive interface prototyped in Figma. Shannon drew inspiration from her own travel challenges and highlighted her involvement in extracurriculars and completing the Westminster Employability Award<\/a> as defining experiences during her degree.<\/p>\n\n\n\n

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Award Winners<\/strong><\/h2>\n\n\n\n
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