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 MVP application will be a short-form video-sharing platform similar to TikTok. Users can create, edit, and share videos with a global audience. The app will feature a personalized feed, trending content, and interactive elements like comments, likes, and shares.
The proposed App was designed to provide the Muslim community with a convenient, secure, and holistic digital platform for donation and daily spiritual support.
While the primary objective is to streamline the donation experience for registered campaigns, the app is also a lifestyle companion—offering utilities that make everyday religious practice more accessible, personalized, and mobile.
By consolidating fundraising features, Zakat calculation, Quran access, prayer timings, Qibla direction, and Halal food locators, the app goes beyond transactions to enable daily engagement with faith and charitable giving.
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.