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.

It is a digital tipping and peer-to-peer payment platform designed to simplify, modernize, and enhance the tipping process for service professionals, creators, and gig workers. It empowers individuals to receive cashless tips directly through digital payments, providing an easy, secure, and fast way for customers and supporters to express appreciation. The platform is ideal for industries where cash tips are common but declining due to the rise of cashless transactions. 

Atorvia is a next-generation online travel marketplace designed to simplify tour booking and management. It provides an end-to-end solution where travelers can search, filter, and book tours seamlessly, while suppliers can list, manage, and sell their tours efficiently.
The platform offers a dynamic tour discovery experience with advanced search and filtering options, secure payment gateways, multilingual support, and automated supplier verification. It ensures a frictionless experience for both travelers and suppliers, optimizing the booking process and enhancing transparency with features like tour ratings, user reviews, and real-time supplier interactions.