Team Name:
MyPath
Team Members:
MyPath
MyPath is a whole-of-life navigation tool that helps Australians move confidently through every stage of life — from birth to retirement and everything in between. Instead of struggling to find services when you need them, MyPath anticipates key moments — having a child, starting a business, losing a job, becoming a citizen — and bundles the right government supports, community services, and local opportunities into a clear, personalised pathway. It makes complex systems simple, explains each step in plain language, and builds trust by showing you not just what’s available, but why it matters. With MyPath, Australians get a trusted companion for life’s journey.
Imagine if every big (and messy) life moment—having a child, losing a job, starting a business, facing a bushfire, becoming a citizen—came with a calm guide that already knew your area, spoke plainly, and turned “what now?” into a few clear steps you could accept in one tap. That’s MyPath.
MyPath is a whole-of-life navigation tool that anticipates key moments and bundles the right government supports, community services, and local opportunities into a personalised pathway. Each step explains what to do, why it matters, and where it came from. Tap Accept Plan, and MyPath turns guidance into trackable tasks with reminders and calendar sync. It’s simple on the surface, carefully engineered underneath, and built to earn trust.
MyPath continuously scans trusted public sources (Commonwealth, state/territory, local), scores them for freshness, coverage, licence and place-join quality, and turns them into small, explainable building blocks: an eligibility confidence, a dollar estimate, a best appointment slot, an ordered set of steps, a shortlist of relevant services, a local signal.
Those building blocks feed a simple data model that powers the experience without feeling technical:
A built-in Relevancy Report shows how we chose the data (and why), so agencies and judges can trace every recommendation.
1) Using AI to Help Australians Navigate Government Services
Jordan’s hours just collapsed.
MyPath recognises Jordan as a Worker in Crisis. In seconds, Jordan sees likely eligibility, a clear weekly amount, and the two missing answers we need. The best way to act (phone callback at a quiet hour vs nearest open centre) is proposed with reasons. Jordan taps Accept Apply Plan—three small tasks land with reminders—and finishes the first step before leaving the session. Everything shown has a source and timestamp.
2) Navigating Australia’s Data Landscape
A council lead wants to do more for residents—without guessing.
MyPath’s relevancy engine reviews the council’s area: freshness of recovery-centre feeds, opening-hours reliability, community events, volunteering portals, Scamwatch/ACSC advisories, transport links, service-centre capacity. It then recommends data-informed actions for that persona:
Each recommendation is one tap to publish into the local MyPath view (with provenance and licence shown in the Relevancy Report), so residents see better, fresher information without the council lead hand-stitching feeds.
3) Data-Driven Reduction in Gambling Harm for Stronger Community Resilience
A system that supports quietly—no profiling, no stigma.
At the platform level, MyPath watches area-level indicators from public sources. When local conditions suggest a higher-risk window, the experience naturally tilts: supportive options are gently promoted (counselling, self-exclusion, transport to services), and venue-style prompts are temporarily hidden. Nothing about the person changes; there’s no “label”. Every nudge shows a Why and a source badge, and the default path remains available.
4) Connecting New Citizens to Australian Democracy
Ana just became a citizen in Parramatta.
MyPath identifies New Citizen in New. A first-week plan appears: AEC enrolment, electorate and representatives, passport start, Medicare linking and secure sign-in, English-learning support. A 90-day plan adds volunteering, a council/library event, and one simple way to have a say (petition or committee submission). Ana taps Accept Plan; tasks, deadlines, and proof-of-completion appear—each card with clear reasons and official links.
5) Red Tape Navigator
Sam runs a ten-seat café in Yarra (VIC).
Behind the scenes we tag relevant services for Sam (licences, registrations, payroll cadence, inspections). On screen, Sam sees obligations in a clear graph—what depends on what, where duplicates exist, and any conflicts—with sources on each node. MyPath supports deconfliction (merging duplicates, calling out superseded items), proposes an optimised order that bundles shared documents once, and calendars renewals. Sam taps Accept Compliance Plan and gets a tidy set of tasks with definitions of done, lead times, and deep links to lodge—plus a Relevancy Report that shows where each rule came from.
Architecture Overview
MyPath employs a modular, AI-enhanced architecture that combines multiple data sources into personalized pathways.
Core Features
Persona-Driven Navigation
- Select your situation — Choose from 12+ life contexts (New Arrival, Worker, Parent, SMB Owner, etc.)
- Get instant pathways — Receive curated action plans based on your persona and location
- One-tap planning — Accept recommended plans that become trackable task lists
Intelligent Service Discovery
- Ask natural questions — "I lost my job, what support is available?"
- Get relevant services — AI analyzes your needs and finds matching support organizations
- Smart recommendations — Vector database learns from searches to improve future results
Government Dataset Intelligence
- Search 1000+ datasets — Find relevant government data using natural language
- Domain filtering — Filter by 15 service areas (Health, Employment, Housing, etc.)
- Relevance scoring — AI ranks datasets by how well they match your query
Risk-Aware Support
- Area-level context — Content adapts based on local socio-economic and risk indicators
- Gambling harm prevention — Supportive resources prioritized during high-risk periods
- No individual profiling — Community-level insights without personal tracking
Action-Oriented Planning
- Clear next steps — Each recommendation shows what to do, why it matters, expected time/cost
- Task management — Plans become actionable checklists with reminders
- Progress tracking — Mark tasks complete and sync with calendar
Trust Through Transparency
- Source provenance — Every recommendation shows data source and last updated
- Explainable AI — "Why this recommendation?" links explain the reasoning
- Error reporting — "This looks wrong" feedback improves system accuracy
Core Government Data: Federal Register of Legislation; ABLIS; AEC divisions & representatives; Services Australia service-centre directories; GrantConnect; ABS ASGS & community profiles; state recovery hubs and
legislation registers; council permits and community directories.
Dataset Discovery: Metadata from https://data.gov.au/data/api/3/action/package_search for comprehensive government dataset inventory and Google API for real-time government website content.
Emergency & Disaster Data:
- Live emergency hazard warnings: https://www.postman.com/postman/australian-government-emergency-hazards-warnings-apis/
- Emergency facilities: https://digital.atlas.gov.au/datasets/digitalatlas::state-emergency-services-facilities/about
- Road closures: https://catalogue.data.infrastructure.gov.au/dataset/harmonised-national-roadworks-and-road-closures
- Air quality: https://cardat.github.io/napmdtools/
- Power outages: https://dev.aemo.com.au/api-details
Safety & Harm Reduction: Scamwatch and ACSC advisories; civics resources from PEO and MoAD.
Every dataset shows publisher, licence, last updated, and how we joined it to place.
MyPath can run standalone or in front of existing platforms. A realistic next step is a 12-week pilot focused on three journeys (income drop, bushfire relief, SME compliance), with measurable outcomes like minutes saved, successful applications, safer choices, and early signs of increased civic participation—all with on-screen provenance.
MyPath: anticipate the moment, simplify the step, show why it matters.
Raw government datasets exist in silos without analytical connections. Citizens need insights, not just data access — understanding what services they're eligible for, which areas have better support, and how community conditions affect available options.
MyPath transforms raw government data into actionable intelligence through advanced analysis pipelines.
Architecture Diagram:
Citizens receive intelligent recommendations based on sophisticated data analysis, not just raw information access.
This emphasizes the analytical processing and modeling work rather than just data display/search functionality.
Description of Use MyPath’s data-relevancy engine uses this endpoint to automatically discover, score, and integrate public datasets. We: • Discover: query with q=* and paginate (rows/start) to enumerate current catalogue entries. • Screen: read metadata to filter candidates (e.g., government publisher, relevant domains like legislation, services, locations, civics). • Score fit: compute signals such as Officialness (publisher/organisation), Freshness (metadata_modified), Licence openness (license_id/license_title), Coverage and Joinability (resource formats like CSV/GeoJSON; presence of spatial extras or LGA/SA2 keywords), and Provenance completeness (notes, maintainer, extras when present). • Integrate: fetch high-scoring resource URLs, normalise to ASGS areas, and emit small “outcome artefacts” (eligibility hints, best slots, optimised steps) that power cards in MyPath. • Explain: surface the chosen dataset’s title, publisher, licence, last-updated, and resource format in the in-app Relevancy Report so judges and users can see why it was preferred.
Description of Use MyPath uses this layer to locate the nearest SES facility to the user’s consented postcode/GPS and render a Safe Mode card with address, map, and a best-channel recommendation (in-person if close/safe, otherwise phone-first). We show a “Source/Updated” pill and, when available, cross-reference with state recovery-centre feeds for operational status. The dataset also supports routing and fallback options when other feeds are stale, with de-duplication handled in the Relevancy Report.
Description of Use Used to create linear regression models that show which demographic variables are likely to be correlated with higher spending on gambling, such as SEIFA DIS rank, unemployment rate and median rents, in each Local Government Area (LGA). It was found that less socio-economically disadvantaged LGAs (corresponding to a lower SEIFA DIS score) tended to have slightly less gaming expenditure per adult, and that LGAs with higher unemployment rates tended to have more gaming expenditure per adult, suggesting that socio-economic factors in general may contribute to higher gambling rates, and unemployment rates are one such factor.
Description of Use This dataset is included as part of the resources available to the MyPath Data Engine. It provides national-level economic indicators such as GDP, income, and expenditure trends, which can be used to contextualise service demand and employment projections. While not part of the core job seeker or gambling pipelines, it enriches the broader data environment that underpins MyPath’s AI-driven insights.
Description of Use This is our state-level authoritative source for SME obligations in Victoria (e.g., Food Act-related requirements). We verify the in-force version and amendments, then generate actionable obligation nodes (e.g., Food premises registration, WorkCover) with state instruments as the legal basis. In deconfliction, these state nodes are merged with Commonwealth/local items, and the final Compliance Plan provides deep links back to the relevant Act/rule pages and schedules renewals where applicable.
Description of Use This is our primary Commonwealth source for building the Obligation Graph. We deep-link Acts, regulations and instruments; capture in-force status, commencement, amendments, and relationships to detect duplicates/supersession, then present them as deconflicted, ordered obligations. Each step in the SME plan shows a provenance pill (“Source: Federal Register”) and a definition of done that flows into tasks and deadlines.
Description of Use We use this dataset to inform our data relevancy engine, not as the primary legal text. Specifically: (a) set freshness/coverage priors by instrument type and law-maker; (b) monitor legislative activity and complexity signals; (c) surface context in the Relevancy Report (e.g., “preferred because official + recent + strong coverage”). Primary legal sourcing still comes from the Federal Register; ALRC data strengthens ranking, auditing, and transparency.
Description of Use Used to help create time series plots to figure out what times people may be more or less likely to gamble. It was found that there was a spike in gambling on December in 2023-24, corresponding to the Christmas months, and that in both 2023-24 and 2024-25 there was a notable drop in gambling losses from December to February, followed by a notable rise from February to March, which could be a useful indicator of a good time to launch long-term community-led initiatives or activities since gamblers may be more motivated to try other activities then. There was also a general increase in gambling losses across almost all months when going from 2023-24 to 2024-25.
Description of Use We use this dataset of Service Australia Service Centre locations to give recommendations to users of the MyPath platform so they can be given directions to their nearest service centre.
Description of Use We used this dataset to display employment trends data on the MyPath platform for a user person who has lost their job and benefits from support and advice when searching for a new job.
Description of Use Used to obtain the median rents across the year, to see if there was a relationship between median rental prices in each Local Government Area (LGA) and amount spent on gambling. It was found that an increase in median rental prices in LGAs were positively correlated with an increase in average amount spend on gambling per adult.
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