Our video consulting platform provides real-time audio/video streaming of data from one device to another using native WebRTC libraries. Hosted on a scalable AWS infrastructure the video platform offers a range of consultation solutions – text, audio and video chat. It supports all the latest desktop and mobile web browsers, a user-friendly and secure platform to connect over video calls.
The frontend video streaming component is built on Angular JS so that it can be integrated with any modern web application easily. It can be used as a standalone platform or integrated with existing systems for more effective calls.
The solution also uses intelligent bandwidth management to adjust audio/video and data transfer rates based on internet connection bandwidth of participants for better user experience. The solution is also capable of making customized settings based on different parameters for auto lock meeting rooms, password-protected rooms and screen sharing capabilities.
The applicability is proven in many domains, major ones being healthcare for doctor-patient consultation, e-learning, career counselling, legal and more. Main features are:
The Earthwork application is designed to streamline operations in mining sites by managing users, orders, bookings, transactions, and disputes. The platform enables easy management of products, services, and transportation related to mining activities, ensuring smooth integration with various service providers and customers. It aims to enhance efficiency and transparency, while simplifying administrative tasks through a comprehensive admin panel.
The Food Delivery Application is a comprehensive SaaS-based platform designed to connect customers with restaurants for seamless food ordering and delivery. The application includes three main interfaces:
The platform supports multi-tenant architecture, enabling scalability for multiple restaurants and customers. It integrates secure payment processing (Stripe), real-time notifications, and advanced order management features.
The primary objective of this project is to design and implement an event-driven backend system that automates the generation, validation, and delivery of healthcare-related EDI (Electronic Data Interchange) files, such as 834 (Eligibility and Enrollment), 837 (Claims), and 835 (Remittance Advice). These files are essential for secure, standardized, and compliant data exchange between healthcare providers, payers, and regulatory partners.
This system aims to: