School of ICT – Connect & Collaborate Expo (Semester 2, 2025)

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 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 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 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.

TechMate TAS is a mobile application developed for ACS Tasmania to connect students and tech professionals. The app provides a central hub for tech-related events, a community noticeboard, job opportunities, and wellbeing tracking. Admins can manage events and content, while users can browse and engage with opportunities. Built using Flutter and Firebase, TechMate TAS is designed to enhance engagement and professional development across Tasmania’s ICT community.

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 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 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 develops an intelligent chatbot, powered by IBM Watsonx Orchestrate and Watson Discovery, to serve as a virtual assistant for university students. The chatbot provides instant, conversational answers to queries about courses, enrolment, and unit outlines by retrieving information from institutional documents. Using Watson Discovery for document ranking and Orchestrate for multi-agent workflow automation, the system ensures responses are accurate, contextual, and ethically generated. Integrated with Firebase for data management and deployed via Vercel, it delivers a reliable, user-friendly platform that enhances student support and reduces administrative workload.

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.