This project focuses on creating a dynamic and interactive business directory platform that serves as a bridge between customers and businesses. The platform aims to enhance local business visibility while providing customers with a seamless experience to discover, engage, and interact with various service providers.
The platform allows customers to search for businesses based on locations, view detailed profiles, and interact through reviews, ratings, and inquiries. Businesses can register, manage their profiles, subscribe to the service, and interact with customers. 
 

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. 

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.