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:
This project involves creating analytical reports and dashboards for retail sales and healthcare metrics. The store sales report tracks sales performance using key metrics such as total sales, targets, and period-based sales comparisons, with filters for date and location. The repair summary report provides insights into repair activities with visual charts and multiple filters. The top sales report highlights salesperson performance, while the top sellers report lists best-selling products. In healthcare, dashboards focus on patient-related metrics, engagement, and group analysis, offering insights into appointments, measures, and patient interactions with various filtering options for effective data analysis and decision-making.
An AI-first, Gen Z–oriented fashion styling app enabling users to upload wardrobe items, receive personalized outfit suggestions using AI, and engage socially via outfit polls and feeds. The solution leverages Firebase’s scalable cloud backend and integrates OpenAI for prompt-based outfit generation. Users can manage a virtual closet, receive AI alerts on missing wardrobe items, and interact with a community through polls and comments. It also includes an admin panel for moderation, analytics, and subscription management. Monetization is driven through subscription tiers and integrated ads. The product is designed as a progressive MVP with clearly defined “must-have” and “nice-to-have” features to facilitate phased rollout. Post-launch, the client aims to validate market fit and scale with affiliate shopping and influencer integrations.
Baby Led Bites is a mobile-first digital health app designed to simplify and support the baby weaning process for new parents. It offers a trustworthy, data-informed experience that helps families transition their babies to solid foods safely and confidently. The app provides detailed guidance, curated recipes, nutrition insights, and intuitive food tracking—ensuring a safe, age-appropriate weaning journey. Through expert-backed advice, food safety tips, and personalized recommendations, the platform empowers parents to serve each food at the right stage while fostering healthy eating habits from the start..