This project is focused on building a mobile-responsive, AI-powered service management platform for a US-based vehicle maintenance service center. The platform will provide customers with personalized, mileage-based service recommendations, streamline appointment scheduling, and ensure seamless data synchronization through integration with X-Time, a leading automotive service software.

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.

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.