ICT Showcase 2025 Semester 2

This project modernizes the Dicot Key Tasmania, transforming a static scientific website into an interactive, cross-platform application. Using a Python pipeline, we scraped complex botanical data from the legacy site and structured it into an SQLite database, which now powers a React Native prototype. The result is a user-friendly plant identification tool for web and mobile, showcasing an effective end-to-end solution for revitalizing and mobilizing valuable legacy data.

This project presents the UI/UX for an AI-powered repository designed to prevent knowledge loss in policy development. Our system uses AI to automatically process and summarize ingested project files, followed by a human-in-the-loop workflow for curation and privacy control. The resulting 'living repository' allows stakeholders to explore insights through interactive visuals and natural language queries, transforming chaotic project data into a transparent and auditable knowledge asset.

This project addresses a critical safety gap for ambulance services by creating a visual analytics dashboard for our award-winning Controlled Drugs Management software. While our system effectively tracks restricted medications, clients often lack the resources to analyze this data for dangerous trends, such as potential drug theft. This new web front-end, built with React and a .NET backend, transforms raw data into a clear, visual story for managers, empowering them to proactively identify illicit activity and operational risks, ultimately turning critical safety information into meaningful, life-saving action.

This project closes a critical security and privacy gap in healthcare by developing a secure mobile app for handling sensitive patient photographs. It replaces the risky practice of using personal phones by allowing clinicians to capture and upload images directly to a secure Azure cloud environment, bypassing the device's local storage. A companion web portal facilitates the review and tagging of these images before integration into official patient records. Built with React Native and .NET, this solution protects patient data, improves clinical workflows, and ensures valuable visual information becomes a secure part of the patient's history.

This project enhances the Skylight Program—an online therapeutic platform for children with learning difficulties—by developing a suite of engaging mobile games called ‘Brainy Hacks’. These games are designed to directly train and test cerebellar functions, such as rapid eye-hand coordination, which are crucial for learning. The games feature an adaptive difficulty engine and a scoring system that captures user performance data like speed and accuracy. This data feeds back into the main program's algorithm to personalize each child's therapeutic exercises, turning essential neurological training into motivating gameplay to improve developmental outcomes.

This project creates an interactive, web-based game to streamline safety and orientation training for the Lady Nelson tall ship. New crew members virtually explore the vessel to locate critical safety items, triggering informational pop-ups and quizzes that reinforce their knowledge. The experience is structured with multiple difficulty levels, advancing from guided discovery to memory-based challenges, with potential extensions for complex, skill-based scenarios. Built using HTML for easy integration with the organization's existing Moodle and H5P training platforms, this gamified resource transforms essential onboarding into an engaging and effective learning tool.

This project delivers a streamlined project management application tailored specifically for tradespeople like plumbers and builders. The app enables users to create projects, assign tasks, and track job progress through a simple, fully responsive interface accessible on any device. Built on a modern stack using Next.js for the frontend and powered by PayloadCMS—a TypeScript-based headless CMS—the solution provides robust data and user role management. This MVP focuses on core workflows to enhance collaboration between office managers and on-site teams, replacing manual disorganization with digital efficiency.

This project delivers an interactive, multilingual learning portal designed to enhance culturally inclusive dementia care training. The platform is built around a thematically segmented video interview with a family carer, which users can experience with translated subtitles and voiceovers in their chosen language. Each segment is paired with quizzes and reflective prompts to deepen understanding, all tailored to the user's selected role as a family carer or care worker. A backend analytics dashboard tracks engagement, creating a data-informed educational tool that promotes empathy and improves care standards across diverse communities.

This project introduces Techmate Tas, a mobile app designed to be the central hub for Tasmania's technology community. The platform features a smart event calendar with personalized alerts, a curated local tech news feed, and an interactive noticeboard for jobs and collaboration. A unique wellbeing tracker helps professionals monitor work-life balance, addressing a key industry challenge. Built as a cross-platform solution with a cloud backend, Techmate Tas aims to foster connection, professional development, and wellness, uniting the state's entire tech ecosystem in a single, accessible application.

This project develops a multi-agent system to automate legal contract negotiation and smart contract deployment in Web3.0. Using Large Language Models (LLMs), individual agents represent different parties, autonomously negotiating terms to reach a mutual agreement based on user-defined preferences. Upon consensus, the system automatically generates, verifies, and deploys the corresponding smart contract to the blockchain. Built on the ArcBlock and AIGNE frameworks, this work demonstrates a practical application of coordinated AI agents to streamline the creation of legally binding, on-chain agreements.

This project advances a Python-based application for visual data analysis by integrating a new AI/ML module. Building on an existing prototype, the core task is to develop an AI-driven function for automated image sorting, which learns and refines its accuracy based on human validation. The project also includes significant UI/UX enhancements to the canvas-based interface, such as a new drag-and-drop tagging system. Finally, it will prototype multimodal tools to enable the combined analysis of text, image, and video content, transforming the app into an intelligent and more user-friendly data analysis platform.

This project is to develop a web-based data dashboard for Sustainable Timber Tasmania to visualize acoustic monitoring data from remote detection units. The platform will present reports on animal calls and other sounds through interactive tabular, time-series chart, and map-based visualizations. Key functionality includes dynamic filtering by date range, species, and location, allowing researchers to isolate specific environmental insights. Built using a modern JavaScript-based stack and hosted on the Nectar Research Cloud, this project will leverage existing frameworks to rapidly deliver an intuitive and maintainable tool for ecological analysis

This project automates the student check-in and check-out process for a Kumon tutoring centre, replacing an inefficient and error-prone manual SMS system. The solution involves generating unique QR codes for each parent, which are placed on the student's folder. Upon arrival and departure, staff will scan these codes, instantly triggering a pre-populated text message to the correct guardian notifying them that their child has arrived or is ready for collection. This system is designed for efficiency, supporting bulk QR code generation for existing students and simple onboarding for new ones, ultimately eliminating manual errors and reducing wait times.

This project develops a secure web application for Launceston Grammar to facilitate "collegial affirmations," fostering a positive staff culture. The system enables employees to send short, anonymous messages of appreciation to colleagues during scheduled cycles. To ensure confidentiality and appropriate oversight, an automated bot delivers submissions to the recipient's line manager for vetting before forwarding. The platform will securely integrate with the school's existing Microsoft Entra ID and information systems, automating the workflow and creating a seamless, supportive communication channel

This project replaces a cumbersome, spreadsheet-driven workflow for tutor management with a centralized, web-based allocation system. The platform automates the ingestion of tutor applications (EOIs) into a structured database, offering powerful tools for filtering, ranking, and shortlisting candidates. A key feature is the integrated timetable clash detection to prevent scheduling conflicts, all managed through a central dashboard with role-based access. By digitizing this process, the solution eliminates manual data handling, improves accuracy, and provides a transparent, auditable system for academic staffing and resource management.

This project is to develop 'My Market,' a cross-platform mobile application designed to connect users with local community markets. Leveraging GPS and mapping APIs, the app provides a real-time, interactive map displaying nearby farmers, craft, and flea markets with detailed profiles, hours, and vendor information. Core features include a powerful search with filtering, user reviews, a favorites system, and push notifications for events. The project also includes a dedicated portal for market organizers to manage their listings, creating a comprehensive and user-friendly ecosystem to support local commerce and community engagement.

This project develops an intelligent chatbot, powered by a Large Language Model (LLM), to serve as a virtual assistant for university students. The chatbot will provide instant, conversational answers to common queries about courses, enrolment, and policies by integrating with institutional data sources like the course handbook. Using a Retrieval-Augmented Generation (RAG) architecture with a Python backend and a Vector DB, the system ensures responses are accurate and contextually relevant. A user-friendly React frontend will provide an accessible interface, creating a 24/7 information hub to support students and reduce administrative strain.

This project is to develop a series of online, self-paced financial literacy modules for the Tasmanian University Student Association (TUSA). Designed to empower university students with essential money management skills, the program will cover key topics like budgeting, debt, saving, and avoiding scams. The core deliverable is to build these interactive learning modules within TUSA's new BuddyBoss Learning Management System. A primary focus will be on leveraging animation to make complex financial concepts engaging, accessible, and memorable for a diverse student audience.

This project is to develop a custom Client Support Dashboard for the web development agency, Eighty Options, to enhance time-tracking and resource management. The system will integrate directly with the MinuteDock API, pulling time-entry data to provide tailored processing and visualization. Key features include a tool for bulk-updating time entries, an interface for managing client support contracts, and a live dashboard with interactive charts visualizing resource consumption against contract limits. This containerized application will streamline administrative workflows, optimize resource allocation, and provide data-driven insights for transparent client reporting.

Tasmania's primary industries are undergoing a high-tech revolution, with everything from sensors to AI reshaping how we farm, fish, and manage our forests. Join our experts to discuss the groundbreaking innovations already making an impact and to explore the untapped opportunities for our local tech sector to drive future growth.

Tasmania's primary industries are undergoing a high-tech revolution, with everything from sensors to AI reshaping how we farm, fish, and manage our forests. Join our experts to discuss the groundbreaking innovations already making an impact and to explore the untapped opportunities for our local tech sector to drive future growth.

From AI-driven climate models to drone fleets mapping our wilderness, cutting-edge technology is giving us an unprecedented view of our changing planet. This panel will showcase how these tools are being used right here in Tasmania and explore the crucial role our tech community can play in pioneering the next wave of environmental innovation.

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Description goes here, thumbnail might just be the researcher name, or I'll do that as a people card below