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.

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.

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.

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 application makes it easier for mental health patients to search and match with licensed therapists for in-person or video-based consultations. The application also connects therapists to a network of new patients, helps with payor credentialing, manages billings and claims processes, manages dynamic assessments, and guarantees instant payment on claims.