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..

An AI phone agent for restaurants, designed to automate and enhance customer interactions over the phone. It handles orders, reservations, FAQs, and customer queries while seamlessly integrating with POS systems. With the ability to manage unlimited simultaneous calls, upsell intelligently, and provide real-time analytics, it reduces missed opportunities and improves customer satisfaction.