The Platform project aims to revolutionize the way patients and doctors connect for immediate consultations. Implementing first-in, first-out (FIFO) approach, the platform prioritizes patients based on the order of their requests, reducing wait times and enhancing patient satisfaction. Patients can provide detailed information about their symptoms, upload relevant images, and specify the type and duration of consultation they need, empowering doctors to make accurate diagnoses and treatment recommendations during video consultations. The platform ensures seamless and secure interactions, allowing patients to rejoin the queue if they accidentally close their browser. It also simplifies the prescription process with a secure payment gateway and facilitates the delivery of prescriptions. 

The Platform project aims to enhance accessibility to healthcare services, optimize patient-doctor interactions, and elevate the overall quality of care. By leveraging technology and incorporating innovative features, the platform strives to provide a seamless experience for patients and doctors alike. With its focus on efficient queue management, comprehensive patient information, secure interactions, and simplified prescription processes, the Platform aims to revolutionize the way healthcare consultations are conducted, improving access to care and facilitating better healthcare outcomes.

The software is an online quoting and submission system. It works like amazon for insurance. It solves the problem of long waiting time for work completion in insurance industry and gets policy numbers out in few minutes. The product lines include contractor general liability, workers’ compensation, business owner’s policy & small business insurance, inland marine, builders risk, excess, commercial auto and contract bonds.

The platform is a managing general agent/ broker for commercial insurance. The software allows filling application online and sends application to underwriter to write policy and process submission after checking the consistency of information in application.

An enterprise-level fintech & document-driven workflow automation platform. integrated document workflow solutions transform traditional roadblocks like accounts payable processing, document management, forms, and inventory/project management for industries including aged care, mining, retail, and manufacturing. It's an integrated platform allowing companies to plugin within other third-party platforms to handle & transmit data/info/processes etc in a secure & efficient manner.

The objective of the proposed application is to create a platform for asset tracking in the trucking industry that operates under a subscription-based software-as-a-service (SaaS) model. It has a mobile app for drivers that helps with dispatching pick-up and delivery locations and calculating total miles driven over a period of time covering duration and trips and a web-based interface for carriers, brokers, and the company.

The platform is integrated with a third-party hardware device that tracks various data points such as vehicle location, door opening, temperature, and humidity in real-time. The data collected by this device is sent back to cloud-based services that can be accessed via cloud-based APIs or the SDK provided by the device manufacturer.

A web and mobile-based solution designed to modernize workshop and fleet operations, replacing a legacy desktop system. The platform streamlines fleet (trucks/trailers) management, inspections, inventory, job allocation, and reporting. Mobile apps for technicians and inspectors ensure field readiness, while integration with Verizon Connect (mileage tracking), odometer data, and XERO (accounting) supports real-time, accurate, and compliant operations.
The solution improves transparency in maintenance workflows, accountability in technician performance, and accuracy in financial reporting, while providing a scalable base for multi-workshop rollout.

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.