Our work - Proven solutions for real-world problems.

Aussi Gigs simplifies the job search experience by aggregating listings from government job boards across Australia. With a powerful search system, fuzzy matching, and AI-powered suggestions, users can instantly discover jobs tailored to their skills.

Whether you are searching for "Python developer" or "remote data analyst," relevant results are shown in one clean, searchable interface—no more jumping across dozens of sites.

We helped upgrade DAS by revamping its frontend, integrating dynamic maps, and building interactive charts. Our team also implemented a robust ETL pipeline that pulls processed results from BigQuery once the ML model completes its run.

The platform empowers farmers and stakeholders with real-time data on crop yield predictions, environmental trends, and land insights—helping them make more informed, data-driven decisions.

This housing portal simplifies property discovery for homebuyers and renters in Canberra. Using real-time map interactions, users can explore properties, access historical sale data, and visualize utilities and nearby landmarks like bus stops or police stations.

Powered by MapBox, Google Maps, and the ACT government dataset, it transforms complex housing data into meaningful, location-based insights.

The MCQ Portal empowers students by offering a centralized platform for structured exam preparation.

With a vast, syllabus-aligned MCQ bank, timed mock tests, and real-time performance analytics, it’s the ideal tool for self-paced learning. Students can register, pay securely, and start practicing right away—making exam prep easier, smarter, and more effective.

We developed a geospatial machine learning pipeline to automate the process of data cleaning, feature engineering, model testing, and visualization.

Deployed on Australia’s National Computational Infrastructure (NCI), the workflow supports tasks such as feature ranking, hyperparameter tuning, and comparative analysis of ML models like Random Forest, XGBoost, and SVR. The system was used to map mineral potential for resources like gold, iron, and copper across Australia.

This system automates high-resolution seismic data acquisition, reducing manual effort for scientific teams.

It features CLI-based manual downloads, real-time sensor health monitoring via a GUI, and intelligent triggering to download data and generate graphs during high seismic activity. Built for reliability and security, the system ensures accurate data collection in a sensitive research environment.