Our Projects
At A2I Hub, our primary focus is on building advanced AI-driven healthcare systems, while also delivering high-impact solutions across energy, finance, and intelligent infrastructure. Our projects reflect deep expertise in machine learning, automation, and real-world AI deployment.
AI-Powered Overpayment Detection in Healthcare Claims
Owner: Cotiviti
Designed and enhanced machine learning models to detect healthcare claim overpayments, including complex out-of-network, bilateral, and admission-based cases. The system significantly improved alert quality by filtering low-confidence cases before manual review, reducing reviewer workload and increasing confirmed findings.
Automated Waste Segregation & Medical Identity Verification
Owner: Nottingham University, Malaysia
Developed a fuzzy rule-based AI system for automated medical waste segregation and patient identity verification, improving hospital safety, compliance, and operational efficiency.
Digital Building Ecosystem
Owner: Quipex
Built an AI-powered digital building ecosystem that centralizes certificates, maintenance records, warranties, and compliance documents. The platform enables secure document management, intelligent retrieval, and seamless handover across stakeholders.
Storage Management System
Owner: ISACO Company
Developed an AI-driven storage management system to optimize ordering, packing, inventory tracking, and shipment workflows, significantly improving operational efficiency.
Optimo Pathfinder Financial Platform
Owner: Intelligent Energy Systems, Sydney
Developed a secure, scalable financial planning platform using C# and Azure, implementing linear programming and optimization algorithms for strategic decision-making.
Wind Turbine Production Forecasting
Owner: Intelligent Energy Systems, Sydney
Built an end-to-end MLOps pipeline using deep learning and time-series models to forecast wind turbine energy production, improving planning accuracy and grid efficiency.
3D MRI Brain Segmentation System
Owner: Griffith University, Gold Coast
Developed advanced 3D MRI brain segmentation models using Genetic Algorithms, unsupervised clustering techniques (Fuzzy C-Means, KNN, K-Means), and mid-sagittal surface detection for medical imaging research.
Tennis Match Predictive Analytics System
Owner: EDWORKZ PTY LTD, Sydney
Built a cross-platform AI system to predict tennis match outcomes using machine learning and GPU acceleration to enhance accuracy and performance.
RFID-Based Parking Management System
Owner: University of Science and Culture
Designed and implemented an RFID-based automated vehicle entry, exit, and monitoring system to optimize parking operations and user experience.