School of ICT Expo 2026 Semester 1

Thursday 28th May 2026 10am–2pm University Center, Studio Theater, Stanley Burbury Theater

The School of ICT is proud to present our bi-annual Showcase, celebrating the achievements of 16 graduating Bachelor and Masters student project teams.

Drop in and out at a time that suits you and your schedule, but please register for catering purposes.

This catered event is open to the public. Our Capstone and Research showcases consistently attract industry leaders, alumni, and current students alike. For visiting Tasmanian school students, we are offering dedicated information sessions, campus tours, and hands-on workshops.

See last semester's event page for good idea of what to expect.

This semester, we are highlighting the core strengths of our curriculum. Beyond the project booths, visit our dedicated Major hubs to meet our expert staff and explore our research:

  • Application & Web Development: Meet our top-performing Mobile App Development students and demo their major projects.
  • Artificial Intelligence: Discover how we are integrating LLMs into teaching and research at UTAS.
  • Cyber Security: View a live threat-map and discuss the evolving digital landscape with our specialists.
  • Games & Creative Technologies: Play projects from our first- and second-year students and learn how we help developers publish on major consoles.
  • Internet of Things: Explore cutting-edge sensors and learn about our new industry-integrated IoT major.

Thursday 28th May 10am–2pm
Studio Theatre, University Center
Sandy Bay Campus

Industry, Alumni, & Current Students:
Free Registration on Eventbrite

Schools (Years 9 to 12):
Registration for Schools now closed.

Also, keep an eye out for updates on our first Launceston-based showcase event in mid-2026.

The capstone project unit provides an opportunity for students to consolidate the knowledge and skills they have acquired in their course and apply them to a substantial ICT project. Students extend their knowledge and skills in the areas of project management and system development through completing professional project documentation and managing the development of the team project using the agile methodology.

These projects have been developed over the course of one semester. Students work in teams with an industry client.

If you are interested in being a client in future semesters, please contact Ming.Wong@utas.edu.au

This semester the people's choice award is sponsored by Intuit Technologies.

Intuit Technologies Logo

Multilingual Resource Management Portal

Qian Liu, Su Thao Hieu Ho, Mosammat Taskiya Nisat Any, Mohammad Reefat Al Mamun, Samuel Ofuokwu Osemeke

This project develops an admin web portal and a supporting data service for the Language Facilitation App. The admin portal allows authorised staff to manage scenarios, content items, categories, languages, audio resources, and user access in one central place. The supporting API is being prepared for future client applications, so they can securely receive the same approved content and updates from the system. The aim of the project is to improve how multilingual communication resources are organised, maintained, and delivered to users.

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Generative AI for Tasmanian Tourism Marketing

Husang Lee, Quoc Huy Long Trinh, Ritesh Prasad Yadav, Thi Hoai Tran, Rakhitha Uthpalawanna Dassanayake

This project is a web-based application that uses generative AI to create tourism content for Tasmania, including images, travel itineraries, and marketing text. Users can select locations, preferences, and styles through a simple interface, along with additional options, and receive tailored results within seconds.
The system integrates AI models into a user-friendly platform to support tourism promotion and content creation. It simplifies the content generation process, enabling users to produce visually engaging and informative materials without requiring technical expertise.
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Gamifying Business Law for Postgraduates

Stevan Djeric, Will Rummery, Runae Bojorges Oleinikoff, Xavier Scott, Abir Hossain

The aim of the project is to gamify business-law content to encourage engagement by post graduate students through short, structured activities and mini games backed by a progression-based learning system. This website was requested on behalf of the University of Tasmania's, Dr. Rachel Baird.
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Redefining Organisational Reporting : Configurable, traceable, and Azure-ready reporting systems for modern organisations.

Rafijul Islam, Dewan Osman Mahdi, Muhammad Haider Mustafa, Namgay Om, Revinn Sivabalan,Wedaarachchige (Chavin) Wickramatunge

This project explores a new approach to organisational reporting by replacing fragmented spreadsheets and manual update processes with a configurable, traceable reporting platform. Developed for the Department of Premier and Cabinet (DPAC), the system allows authorised users to create reporting instances, define custom fields, assign contributors to specific reporting items, and maintain an auditable record of changes.
A key technical feature of the platform is its dynamic SQL-backed schema design, where each reporting instance can have its own field structure without requiring database redesign, making the platform far more flexible than traditional fixed-table reporting systems.
Built with C#/.NET, SQL Server, Docker, and Azure-aligned authentication design, the project shows how modern cloud-ready systems can make reporting more flexible, controlled, and reliable.
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Job Aggregation Platform

Connor Geldard, James Russell, Ishant Goel, Junaid Bin Habib, Joshua Crisford, Hang Wan, Lishara Thapa

Finding IT jobs in Australia means jumping between multiple job boards (Seek, LinkedIn, Indeed) all with different layouts, filters, and noise. This project builds a platform to do some of that legwork automatically.
The system runs on a schedule, using a headless browser to collect IT job listings from major job boards and store them in a central database. Users then visit one clean interface to browse, filter, and view those listings in a consistent format.
Built for My IT Studio, a Hobart-based IT services company, the application is live on the web and embedded directly within their website. The backend is written in TypeScript and runs on Node.js, the frontend is built with React and Tailwind, and job data is stored in a PostgreSQL database hosted through Supabase. The whole system is deployed via Vercel and auto-updates each time the team pushes new code.
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Cybersecurity Honeypot Network for Tasmanian SMEs

Laura (Luoyan Wei), Jane (Chanatda Chaithanakunmongkhon), Shan (Shanmukh Subhash Pabbineedi), Nobel (Md Muakchear Uddin)

Small and Medium Enterprises (SMEs) in Tasmania often lack access to advanced cybersecurity resources, making it difficult to understand the specific cyber threats they face. Developed for Cyberhaven Technologies, this project aims to gather real-world threat intelligence to uncover exactly how local organisations are being targeted.
To achieve this, we built a distributed honeypot network. This involves deploying cloud-based decoy servers that deliberately imitate vulnerable small business environments to safely attract hackers, automated bots, and malware. As these decoys are attacked, the system continuously logs the malicious activity in real-time. It then uses machine learning algorithms to automatically analyse and classify the types of attacks occurring. Finally, this complex data is translated into an interactive web dashboard and automated reports, providing stakeholders with clear, visual insights such as global attack maps and emerging threat trends to help them better prioritise their cyber defences.
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PharmaGene App

Chhunly Chhek, Eusha Gazi, My Xuan, Linh Ngoc Huynh, Rizwana Runi

PharmaGene is an application that helps healthcare professionals quickly identify whether a drug has pharmacogenetic recommendations and access relevant guidance. It aims to support safer and more personalised prescribing by providing clear, easy-to-understand recommendations that can be updated as new medical knowledge becomes available.

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Kumon Absence Planner and Tracker

Mohammad Fahad, Junayed Hossain Alif, Sayeed Hassan Mahdee, Mufarreh Deen, Md Khalil Ur Rahman Farhad

Every school holiday, the director of Kumon North Hobart faces the same problem: hundreds of parent emails arrive, each needing to be read, interpreted, and manually entered into a spreadsheet, a process that eats up around eight hours per holiday cycle. Our project replaces that entirely.
We built a web-based system where parents log in securely using a one-time password delivered via email, then fill out a simple form to indicate which days their child will be absent and how much homework they'll need. Behind the scenes, the system automatically calculates absence periods and generates a daily report for centre staff, so instead of handwritten lists and colour-coded spreadsheets, staff can pull up exactly who needs a worksheet pack prepared that day.
The frontend is built with Angular 17, while the backend runs on .NET Core 8, containerised with Docker and hosted on Render. Data is stored in Firebase, email notifications are handled via SMTP, and the entire codebase is version-controlled through GitHub. The system supports three user roles: parents/guardians, the Centre Director, and the centre's Second-in-Charge. Our client is Carmel Davies, Centre Director of Kumon North Hobart.
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UTAS Alumni Analysis Dashboard

Samuel Haines, Joshua Vizcarra, Liana Beatriz Llarena, Umama Marzan Rubai, Minh Hoang Truong, Riley McMahon

This project involves developing an interactive data dashboard within Power BI for UTAS to analyse and visualise alumni information.
The dashboard combines data from multiple university systems, including student records, graduation data, and alumni engagement platforms. The team cleaned and structured the dataset to ensure accuracy and consistency before visualisation, and designed the system to be robust and scalable, allowing it to accommodate future changes in university data systems.
The aim is to support UTAS in making more informed decisions around alumni engagement, reporting and strategic planning. The dashboard presents key insights such as demographic breakdowns, geographic distribution, study areas and graduation trends, with a focus on how these patterns changes over time.
The project also includes some trend analysis and some forecasting to help identify possible future patterns based on historical data.
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GMA Connect: A Digital Home for Skilled Immigrants

Van Nhi Pham (Vanni), Luu Duy Dinh (James), Ngoc Tuan Cao (Steve), Alex Dexter, Thomas Doherty, Tanjim Ahmed, Md Masfiq Alam

GMA Connect is a mobile and web platform designed to help skilled migrants in Tasmania discover events and feel more connected to their community. The mobile app allows users to browse events, receive personalised recommendations based on their interests, and access membership features (access to exclusive events and learning courses) with secure in-app payments via Google Play Billing.
Recommendations are generated using a simple tag-matching approach, where user interests are matched with event categories, along with factors like time and location.
A web-based dashboard enables organisations and admins to manage events, users, and view basic analytics. The system is supported by cloud services using Firebase, which handles data storage, authentication, and system communication.
The aim is to provide an accessible, easy-to-use platform that supports community engagement and belonging.
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MAGDA On-Device AI Assistant

Armon Castor, Bhuiyan Rabbi, Mahi Patel, Mitchell Clifford, Robert Joseph, Tom Doyle

Navigating massive data catalogs can be overwhelming. We've built an intelligent, privacy-preserving AI assistant for the MAGDA open-source data platform that runs entirely in your web browser. Instead of sending sensitive queries to cloud servers, our solution uses WebGPU to power a local AI model capable of searching, analyzing, and retrieving datasets through a natural chat interface.

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Kumon Progress Report Automation

Taha Ahmed, Aziz Masakazu Kanai, Navshetha Rasuri, Syed Md Eftekhar Alam

Each month, the coordinator at Kumon North Hobart manually emails individual progress reports to the parents of 60+ students a process that takes two and a half to three hours. This project replaces that workflow with a web application where staff can upload student report files, and the system automatically matches each report to the right student and sends it to their parents by email.
The application uses a web interface built with React, a backend server built with ASP.NET Core, and handles common real-world messiness like mismatched student name formats, multiple parent email addresses per student, and different versions of the centre's record-keeping spreadsheets. Staff can upload individual files or compressed archives, review who has and hasn't been sent a report, and trigger bulk sends — all in a few clicks.
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Development of a Modular Animal Herding Simulation Environment for Reinforcement Learning Research

Shreyansh Adhikari, Tim Cox, Will Ditchfield, Dipesh Giri, James Stansfield

The UTAS School of ICT is currently undertaking reinforcement learning research focussed on training robotic platforms for effecient livestock herding. This project aims to support the School's research through the development of a modular and highly-configurable livestock herding simulation environment, thus providing a cost-effective strategy for training RL policies in a realistic virtual environment, prior to their fine-tuning and deployment in the real-world. The simulation environment is designed to be highly configurable, supporting configurable species, environment parameters (e.g., size, terrain, and obstacles), and behavioural parameters. Automatons (e.g., sheep) within the environment support reactive navigation behaviours, including flocking and obstacle navigation using novel navigational algorithms designed by the team to realistically simulate the behaviour of animals in the real-world. The project is implemented in Isaac Lab (an industry standard and globally-recognised software package for robotics RL), and is written in a mixture of Python and Cython.

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