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.

XAI and Decision Support System Development for Heat Risk Index

Business Partner: A2I Hub
University Partner: UCSI University
A2I Hub is working with UCSI University as a business partner on this project, focusing on the application of Explainable Artificial Intelligence (XAI), geospatial technologies, and Decision Support Systems for urban heat-risk assessment and climate-resilient urban planning in the Klang Valley, Malaysia. The project explores how AI-driven analysis can improve the transparency and understanding of urban heat risk and translate research outcomes into practical decision-support tools for planners and policymakers. The collaboration brings together expertise across artificial intelligence, civil engineering, water resources, GIS, and urban planning, with the aim of developing practical solutions that can support better-informed and more resilient urban development.

AI-Powered Study Abroad Consulting Platform

AI-Powered Study Abroad Consulting Platform

Owner: Tie

Maxie is a cloud-based, AI-powered study abroad consulting platform developed for Tie Ltd. Combining Generative AI, document intelligence, and conversational AI, Maxie analyses student profiles, academic documents, goals, budgets, and preferences to provide personalised university and course recommendations. Students can receive AI-powered guidance, manage documents, track their journey, and access tailored study reports, while the dedicated Agent role enables education agents to manage multiple students, monitor progress, upload documents, and work directly within each student's profile. By bringing student self-service and agent-assisted consulting together in one intelligent platform, Maxie reduces repetitive administrative work, improves response times, and enables education consultants to deliver more personalised guidance at scale. View Live Platform   |   Watch Product Demo

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.

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.

Healthcare AI Systems
Advanced AI Systems

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.

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.

AI Forecasting and Analytics
AI Platform Illustration

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.