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.

The project involves developing a cross-platform mobile application to help users manage and track their contacts, social media accounts, and personal preferences. The app enables users to maintain detailed profiles, adjust privacy settings, send private messages, and receive notifications.
Users can also add custom contact details, follow or unfollow others, and manage their interests through a two-level categorization system. The application will be deployed on both iOS and Android platforms.

Astra Health is an AI-driven platform designed to revolutionize clinical documentation. By leveraging multilingual AI-powered solutions, it enables healthcare professionals to automate their administrative tasks, allowing them to focus on providing quality patient care. The platform enhances clinical productivity, ensures accurate documentation, and improves the overall patient experience while reducing administrative burdens. Astra Health aligns with the mission of making healthcare more efficient and patient-centered. It supports diverse healthcare professionals across different languages and settings, ensuring seamless integration into existing medical workflows.