Research Project
We believe in “Giving back to society” and democratizing the data as a part of our work to support the new generation in the coming days. For the social impact, we have multiple research work running parallel to project.
[Ongoing] AI Readiness Benchmarking and evaluation assessment.
This research aims to develop a robust model to evaluate and compare an organization’s AI readiness across various dimensions. By assessing factors such as data maturity, technological infrastructure, talent capabilities, and organizational culture, this model will provide actionable insights to inform strategic decision-making and accelerate AI adoption.
Meet our research team
AI and ML Researcher, Business Intelligence Analyst currently working at University of Southern Queensland, Toowoomba, Queensland, Australia
PhD, Researcher (Team Lead)
Senior Teacher, Academic/ ECR currently working at CQUniversity, Australia
Associate Professor , Director of Centre for Machine Intelligence currently working at University of Southampton
[Ongoing] A Mathematical Model for Rural Ecotourism Sustainability
Addressing the digital divide in remote, high-altitude regions like the Himalayas requires more than just laying fiber-optic cables; it demands a strategic alignment of education policy and local economic assets. To quantify this transformation, we developed the Rural Digital Sustainability Field Tool, an interactive, data-driven dashboard grounded in a specialized adaptation of the Cobb-Douglas production function. By measuring three critical vectors—Digital Accessibility (infrastructure), Community Physical Assets (such as ecotourism homestays), and Student Digital Skills (applied human capital)—this tool provides a live, mathematical snapshot of a community’s economic viability. For education planners and policymakers, this research tool shifts the focus from theoretical computer literacy to applied digital entrepreneurship, demonstrating exactly how targeted student upskilling (like localized GIS mapping or digital payment integration) can offset physical infrastructure deficits and catalyze sustainable rural growth.
Designed explicitly for field researchers, regional planners, and EdTech advocates, the simulator translates abstract socioeconomic metrics into actionable, real-time analytics. Users can bypass complex calculations by simply inputting localized field survey data—ranging from average internet speeds and device ownership to the percentage of youth trained in applied IT. The engine automatically normalizes these variables to generate a unified Community Value Score, classifying the local ecosystem as Critical, Developing, or Thriving. This visual diagnostic immediately highlights where intervention is needed most, proving that digital education is not a siloed metric, but a community-wide economic engine. We invite NGO workers, researchers, and policy advocates to interact with the live model below to simulate how empowering a single student with e-commerce skills can sustainably elevate an entire village ecosystem.
To explain how digital education transforms a rural community, we can adapt the Endogenous Growth Model (specifically the Cobb-Douglas production function) to a rural digital economy.
[Try] the Rural Digital Sustainability Field Tool
Awaiting field data entry...
