PPMS - Submit Project Preferences

CITS3200 - Professional Computing

Term: Semester 2 - 2026

Unit Coordinator: Michael Wise

CITS3200 is squarely toward the computing industry, where many of the students taking this unit will shortly be heading. In that spirit, this unit is unlike most others you have undertaken in the Computer Science or Data Science majors; rather than focussing on labs and assignments, the focus here is on a significant group project in which you get to sample a range of roles: team/project manager, coder, documenter and tester. There is also a short, industrially oriented lecture programme. It is precisely because of the experience you will gain in the project, the ethics-oriented lecture stream, and, more generally, the inustrial orientation of the unit, that the Australian Computer Society has mandated this unit for their acceditation of the Computer Science and Data Science majors.

Group Information

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Reason for Project Selection * Why do these projects interest your group? This information helps coordinators understand your preferences and make better project assignments.

Your Selected Projects

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Available Projects

10 Projects

Ask SVA: An AI Companion for For-Purpose Leaders

Social Ventures Australia (SVA) is a national social-purpose organisation that works with not-for-profits, philanthropy, government, businesses and communities to improve outcomes for people experiencing disadvantage. SVA combines consulting, social impact investing, research, advocacy and practical sector support. Leaders and managers across the for-purpose sector regularly face complex questions about strategy, governance, impact, service delivery, organisational capability, funding and emerging technology. Relevant knowledge exists across SVA publications, tools, frameworks and wider evidence, but it is often difficult for busy leaders to locate, interpret and apply. This project will develop Ask SVA, a branded conversational AI application that helps for-purpose leaders understand an issue, clarify their situation, explore options, challenge assumptions and identify practical next steps. The user experience should extend beyond a generic chatbot: the system should ask useful follow-up questions, retrieve and cite approved knowledge, distinguish evidence from interpretation, communicate uncertainty and guide users towards relevant resources or human support. Initial topics may include organisational strategy, impact measurement and responsible AI adoption. The prototype should include a web-based user interface and an administration environment through which SVA can manage knowledge sources, topic areas, system instructions, conversational behaviours, user pathways and quality controls. The system should support configurable cloud and AI services rather than being inseparably tied to one model or provider. It should include logging, feedback, systematic test cases and red-team scenarios covering issues such as unsupported claims, inappropriate certainty, prompt injection, bias and questions outside the system’s competence. The ambition is to create a technically credible and engaging demonstration of how AI can make trusted social-impact knowledge more accessible externally. A strong result could provide genuine value to sector leaders while helping SVA demonstrate responsible innovation and explore new ways of supporting clients, partners and the wider for-purpose sector. Client contact and brief biography Dr Ramon Wenzel Manager, Consulting Social Ventures Australia [email protected] Ramon works at the intersection of social impact, strategic change and emerging technology. At SVA, he leads work on AI enablement and transformation, helping the organisation and the wider for-purpose sector explore responsible AI across strategy, governance, capability, service design and practical ways of working. He brings more than 20 years of experience across consulting, philanthropy, research, organisational change, data analytics and higher education. His work combines human-centred problem solving with evidence, data and emerging technology, and he has experience with AI and machine learning, data systems, cloud platforms, analytics, system design and the practical governance of technology-enabled work. Ramon is based in Perth and will provide the student team with the conceptual direction, user requirements, sample materials and regular feedback needed to develop the project. Meetings are expected to occur predominantly online, with reasonable availability throughout the semester and in-person participation or a Perth-based SVA representative where required by the unit.

Client: Dr Ramon Wenzel

Location: Perth CBD

Multiple Teams

IP: An agreement to joint exploitation of any IP that is created

Urban Search and Rescue (USAR) Digital Twin Environment

In disaster management, AI models are increasingly used to predict safe paths for rescue teams and locate trapped survivors. Training these models requires vast amounts of structural data contrasting a …

3D Skeleton Plotter

The objective is to develop a standalone desktop application for private forensic and bioarchaeological research. The app will accept XYZ coordinates of human skeletal joints and map them onto a …

The objective is to develop a standalone desktop application for private forensic and bioarchaeological research. The app will accept XYZ coordinates of human skeletal joints and map them onto a realistic 3D human skeleton model. This tool will allow researchers to accurately reconstruct, visualise, and analyse the precise positioning of a body within a grave context. Ideally, the app would support importing multiple independent joint datasets simultaneously, allowing users to layer, label, and visualise several distinct skeletons within a single shared 3D grave environment. The application must dynamically colour-code skeletons to differentiate individuals within a mass grave with automatic and manual override options. To ensure no ongoing licensing fees for this tool, the project must be built using open-source software. The app would require: a simple UI sidebar to manually type XYZ coordinates for major skeletal joints, or upload them via a standard CSV file; a 3D viewport featuring a highly detailed, anatomically correct skeleton mesh placed within a simulated grave environment; scripts that translate the inputted spatial coordinates to position and articulate the virtual skeleton's joints accurately; full 360-degree orbital rotation, panning, and zooming to allow detailed inspection of the body from any angle; ability to save reconstructions locally and export screenshots or 3D view files for research documentation.

Client: Ambika Flavel

Location: UWA Building 351, 1st floor

Multiple Teams

IP: Creative Commons (open source)

Skeletal Fragment Challenge

In osteology, forensic anthropology, and archaeology, identifying fragmented skeletal remains is a critical skill. Traditional learning relies on physical "bone boxes" in university labs, which limits student access.This project aims to build a gamified, web-based educational platform. The app will present students with 3D scans of fragmented human bones. Students must interact with, rotate, and analyze the fragments in their web browser to correctly identify the bone element, side of the body, and specific anatomical landmarks. The app would have 1. Student Dashboard featuring: a clean, responsive web interface that renders 3D bone fragments so students can rotate, zoom, and pan the model using touch or mouse controls; a structured submission panel utilizing conditional dropdown menus; optional - a scoring system, countdown timers for quizzes, streak tracking, and a class leaderboard to encourage engagement. 2. Instructor Admin Portal featuring: a secure dashboard where admins can upload new 3D models (these need to retain IP) and the correct metadata; ability to click directly on the 3D model to place digital "pins" highlighting key features or pathologies for students to identify. To prevent unauthorized use outside of designated laboratory hours, the application must be locked behind a Time-Sensitive QR Access Gate. No individual student usernames or passwords should be required. This project must be designed, developed, and deployed with a strict $0 budget. The final architecture must ensure that the university incurs absolutely no upfront creation costs, ongoing usage costs, or monthly maintenance fees for standard classroom operation.

Client: Ambika Flavel

Location: UWA - Building 351

Multiple Teams

IP: Creative Commons (open source)

Industry Project: Spares Parts Forecasting Dashboard

This project aims to develop predictive analytics dashboard to estimate spare parts demand. The system should estimate component failure windows and proactively recommend spare parts using historical transaction logs, machine …

Ridiculously tiny: Code size super-optimization system

Some times every byte matters - especially for embedded systems. (Motivational example: https://www.oberhumer.com/company/history.php) One of the most highly sized-optimized code bases that are readily accessible are small graphics demonstrations in 256 bytes or less (see: https://blog.mathieuacher.com/SizeCodingArtBuild/ and https://www.youtube.com/watch?v=IMngCTZ434U) These tiny programs are written in very specific hand-crafted assembly code intended to squeeze every single possible byte - a very labour intensive exercise (often optimized over months/years) that is not practical to scale. More commonly, small programs that target ~4kb size are typically written in C and then heavily compressed (e.g. Crinkler). This project aims to take x86 assembly generated from "4kb" C code and leverage an LLM-guided loop to rewrite, refactor, and compress the output into byte-optimized assembly. The objective is to reduce the uncompressed executable (instruction, not data) code. See 4kb examples: https://www.pouet.net/toplist.php?type=4k&platform=&limit=10&days= This will be a self-directed project. Students will need a strong sense of technical curiosity: no assembly or byte-squeezing techniques will be taught, so you will be expected to independently find sample code and research x86 opcodes, compilers, and low-level hacks to drive the project forward.

Client: Adrian Boeing

Location: EECE

IP: Creative Commons (open source)

OI Research Expertise Platform

OI Research Expertise Platform The Oceans Institute (OI) at UWA is home to 400+ researchers, but there is currently no live, public way to explore who they are, what they …

OI Research Expertise Platform The Oceans Institute (OI) at UWA is home to 400+ researchers, but there is currently no live, public way to explore who they are, what they work on, and how their expertise connects across disciplines. Two prior CITS3200 teams each built a promising prototype toward this goal, one an interactive SvelteKit site with searchable expertise tags, researcher profiles and a network graph, the other a React/Flask application with its own database, both pulling data from UWA's PURE Research Repository. Neither prototype was ever integrated into OI's live website, tested against a full researcher dataset, or deployed on infrastructure OI can rely on long term. This project asks a new team to evaluate both prior builds, take the strongest direction forward (or combine the best of each), and deliver a single, tested, production-ready expertise showcase, including a working, renewable connection to the PURE Research Repository and, where feasible, genuine integration into OI's public Sitecore SXA website rather than a standalone site. Alongside this, OI has asked for a new capability: an automated way to generate a short, up-to-date, factual "impact statement" (publication counts, collaborating institutions, students trained, and similar figures) that staff can drop straight into funding and partnership proposals, replacing a process that currently consumes significant manual staff time. The result should be a properly hosted, UWA-supported website that OI can maintain and point to with confidence, both as a public showcase of its research strength and as a standing source of the kind of factual, citable metrics that support funding applications.

Client: Emily Glover

Location: Oceans Institute in the Indian Ocean Marine Research Centre Crawley

Multiple Teams

IP: Open to further discussion about best IP options.

OI Stakeholder & Research Engagement CRM

The Oceans Institute (OI) at UWA needs a reliable way to track its relationships with stakeholders, advisory board members, supporters and partners, who's been engaged, when, why, and what needs …

The Oceans Institute (OI) at UWA needs a reliable way to track its relationships with stakeholders, advisory board members, supporters and partners, who's been engaged, when, why, and what needs following up. Two prior CITS3200 teams each independently built a working prototype toward this: one on Corteza, an open-source low-code CRM platform, the other a custom Flask/PostgreSQL application with its own dashboard and API. Both are genuinely functional, but neither has been tested with OI staff, neither has UWA single sign-on integration, and neither runs on infrastructure OI can rely on beyond the semester it was built in — both teams have provided detailed handover instructions. This project asks a new team to evaluate both systems against OI's actual day-to-day workflow, choose a single direction (adopt one outright, or merge the stronger parts of each), and take it the rest of the way: UWA SSO integration, a permissions review, user-acceptance testing with real OI staff, and deployment on infrastructure UWA IT can actually support long-term. The team will also need to handle stakeholder contact data in line with UWA's privacy and data-governance requirements throughout. The result should be a single, tested, properly hosted CRM that OI staff can trust and use day-to-day, replacing two undocumented, parallel prototypes with one supported system, complete with handover documentation and a runbook for the OI ops team.

Client: Emily Glover

Location: Oceans Institute at the Indian Ocean Marine Research Centre, UWA Crawley

Multiple Teams

IP: Open to further discussion about best IP options.

Luna Rover Simulator

The UWA Lunar Rover student team requires a simulation environment to develop, test, and validate autonomous navigation and manipulation algorithms before deploying in the field. Using historical LiDAR sensor datasets …

Pre-Solution Assessment for Ideation Phase

Uni IT has a demand pipeline process where someone in the University sends an initiative request that has the idea of what kind of solution they want. The ideation phase …

Uni IT has a demand pipeline process where someone in the University sends an initiative request that has the idea of what kind of solution they want. The ideation phase is the first phase in the demand process. There are 3 main assessments based on the information provided - 1. Architecture Assessment 2. Cyber Risk Assessment (C3) and 3. Information Governance (IG) Assessment. These are currently done in separate formats and done manually (spreadsheets). In parallel a Solution Overview on a page is produced to capture high-level details about the proposed solution and a Statement of Work to understand scope, requirements, compliance and resourcing. Once these are done a Project on a page is developed and discussed at Gate 0 to determine the pathway for the project or IT work. The aim of the project is to put the assessments and artefacts into a central digital/online environment that can track the process steps, has workflow, shows progress and completeness, and the results of the assessments to inform the next phase. The stakeholder or requestor of the idea should be informed of progress and the final Gate 0 outcome. A dashboard should also show progress and cycle times to encourage reducing the time in this phase.

Client: Tracey-Ann Morris

Location: KJM Building, UWA, Crawley

Multiple Teams

IP: Open to further discussion about best IP options.

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Ranking Guidelines

Consider Team Skills

Choose projects that align with your team's technical abilities and interests.

Evaluate Requirements

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Rank Strategically

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View Projects or Submit Project Preferences

CITS3200 - Professional Computing

Group Information

Only use this form for a team's preferences

Your Selected Projects

Only use this form for a team's preferences

How to Rank Projects:

Available Projects

Ask SVA: An AI Companion for For-Purpose Leaders

Urban Search and Rescue (USAR) Digital Twin Environment

3D Skeleton Plotter

Skeletal Fragment Challenge

Industry Project: Spares Parts Forecasting Dashboard

Ridiculously tiny: Code size super-optimization system

OI Research Expertise Platform

OI Stakeholder & Research Engagement CRM

Luna Rover Simulator

Pre-Solution Assessment for Ideation Phase

Ranking Guidelines

Consider Team Skills

Evaluate Requirements

Rank Strategically