An enterprise-level tool developed for electricity providers and their customers (EV users & smart home product users) with their smart-charging algorithm helping them to charge their electric vehicles or manage their smart home devices defining their priorities during cheapest or climate-friendly hours. Another advantage for the users is to optimize the use of electricity generated using solar panels, allowing users to first use the power generated using solar and then via the grid. For electricity providers, the platform balance the grid by switching the charging of the connected fleet of electric vehicles on and off so that electricity producers can avoid starting expensive, fossil fuel-driven backup generators. And participant users earn monetary rewards being participating in this.

Marketing automation platform for multiple businesses (restaurants/dentist/ retail & hotels) to create marketing campaigns (email & text) and providing an option to track open rate and response rate to determine the success of the campaign. This also provides features for automating scheduled posts to different social media platforms like FB/ twitter etc. In addition to the same, this helps businesses to make automated referrals and reviews request and track progress accordingly.

The objective of this project is to develop an on-demand service marketplace platform that seamlessly connects service seekers with the most relevant service providers in real-time. The platform will cater to a wide range of needs, including fitness and wellness, errands, and other support services, ensuring a convenient and efficient solution for users looking for immediate assistance. Through this marketplace, both service providers and seekers will benefit from an intuitive, user-friendly interface that simplifies the process of finding and delivering services on-demand.

Legal professionals and general users often struggle to navigate complex legal language, fragmented legislation sources, and time-consuming legal research processes. The client required an AI-powered solution capable of simplifying legal discovery while improving accessibility and research speed.

smartData designed and developed INAC, an AI-enabled legal research platform that allows users to ask natural language legal questions and receive simplified, context-aware responses. The platform includes AI-driven legal search, intelligent filtering, legal summaries, chatbot-based interactions, subscription management, and an admin dashboard for content and platform management.

The solution improves legal information accessibility, reduces manual research effort, and enables users to understand Australian legislation more efficiently. The scalable architecture also supports future expansion into additional jurisdictions and advanced AI-driven legal assistance features.

AI-powered digital care management platform built to streamline the delivery of aged and disability support services across Australia. Designed for organizations operating under NDIS, My Aged Care, DVA, insurance, Medicare, and private care models, the system automates the full continuum of care—from referral intake and assessments to care planning, staff coordination, service delivery, incident tracking, billing, and audit-ready compliance.

The platform incorporates powerful innovations such as GIS-based staff matching, AI-generated voice-to-text shift notes, automated outcome reporting, remote patient monitoring, and structured chronic/end-of-life care workflows. With full FHIR compatibility, the platform supports secure, interoperable exchange of clinical and administrative data with external systems like GP software, electronic health records, and national repositories—enabling seamless integration with tools such as Cerner, My Health Record.

Built to meet Australia’s regulatory and quality standards, this platform empowers providers to deliver person-centered, scalable, and compliant aged care with modern digital efficiency.

This project is based on OCR using python. The data from documents (hand written or scanned), images, excel, CSV is read and converted into structured data using NLP (natural language processing) and natural language tool kit (NLTK). Important data fields related to patient's visit to clinic or hospital are extracted and stored for further analytics.