A digital business card platform that allows individuals to seamlessly share their contact information virtually from anywhere. Be the first to utilize and improve business productivity as well as strengthening relationships between businesses and networking with a new way to set a fast pace business progression and seeing results beyond belief.

A modern and intuitive skill-oriented platform developed for corporate offering training management. The goal of this platform is to offer companies the opportunity to create, animate and manage all their training actions from one place initially targeting banking and insurance, then to be followed by industrial. One of the important part of this creating skill tree which makes this platform different from other competitors defining each learner - hard skills /soft skills/ internal skills with certifications of specific skillset. The platform offers companies to compare their statistics to the average in their sector on a skill, a career, or a trade. This ensures the steering of its learners and gives objective elements to the leaders of the company. 

The proposed application is designed specifically for the US healthcare sector, aiming to serve hospitals and clinics as a comprehensive Electronic Health Record (EHR) / EMR management system. This solution is intended to streamline the electronic management of health records, offering a user-friendly platform for healthcare professionals and clients alike. Its primary goal is to facilitate the efficient administration of medical practices, enabling practitioners to seamlessly organize and access health records. By leveraging this electronic system, healthcare providers can ensure accurate treatment plans and enhance the overall quality of care extended to their clients.

Extensive scheduling & appointment management:
The scheduling functionality was developed with a keen focus on enhancing user experience and optimizing appointment management. The visual representation of appointments is enhanced by a color-coded system based on appointment types such as Billed, Check-out, and Cancelled, providing at-a-glance insights into the status of each appointment.

The Status/VisitType feature allows for easy classification of appointments, ensuring a clear understanding of the nature of each visit. Appointments are not only visually represented on the calendar but also displayed in a comprehensive list, offering a quick overview of the day's schedule.

The Appointment Setting options, which include the ability to display cancellations and print files directly from the scheduling interface. The Appointment Detail Screen provides a comprehensive overview of all patients patient'sdetails, ensuring that healthcare professionals have access to critical information at their fingertips.

 

The primary objective of the proposed application is to enhance the safety and well-being of long-distance and courier service drivers by reducing the incidence of accidents through proactive health monitoring and driving aptitude assessments. The platform, accessible via a mobile app, will empower drivers to manage their daily vitals and ensure their readiness for driving by integrating multiple data collection methods:

1.    Manual Data Entry: A user-friendly intake form will allow drivers to manually input their vital information, with automated notifications based on the data collected.
2.    Camera-Based Monitoring: Drivers can measure their pulse wave by pressing a finger against the front camera, enabling real-time monitoring of pulse stability and fluctuations.
3.    Ring Device Integration: Drivers equipped with a compatible ring device can seamlessly upload vital data, ensuring comprehensive health monitoring.

By leveraging these methods, the solution aims to minimize the risk of accidents caused by health-related issues, ultimately contributing to safer roads and a healthier workforce.

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.

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.