An AI-powered outbound engagement platform that automates voice calls, follow-ups, and data syncing for recruitment agencies, service providers, and customer support teams. It integrates seamlessly with CRMs, calendars, and telephony systems to handle high-volume call campaigns using intelligent voice agents. The system uses natural voice synthesis, sentiment detection, and real-time syncing to streamline outreach, reduce manual workload, and increase engagement.

The client wanted to develop an online marketplace application where marketers can register, create their own stores, and sell products on behalf of the client or vendors. Vendors can upload products, manage inventory, and set shipping methods. Marketers have the option to choose from 20 predefined themes, customize store settings (logo, content, domain), and earn commissions as affiliates.
The platform includes warehouse and order management, and integrates with third-party services like GoDaddy for domain registration and PayPal for payments. It follows a subscription-based model (free or paid) and is designed to support multiple languages.

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.