The primary objective is to develop a comprehensive Online Therapy MVP that will provide a safe and accessible space for individuals to connect with professional therapists and psychologists. Tailored to the unique needs of the Gulf Cooperation Council (GCC) countries, the project aspires to set new standards in the mental healthcare landscape of the region, offering an unrivalled experience with a wide range of services and features. The application will strive to be robust and highly secure, not only meeting the expectations but exceeding the aspirations of the targeted audience in need of mental health support. One key feature of the solution will be the ability for clients to browse a comprehensive set of assessment questionnaires (intake quiz) and be matched with the most suitable therapist respective to the diagnosed underlying problems, as well as the ability for users to purchase subscription tier-based service packages. Along with the integration of video call functionality, using a third-party service like Twilio or Vonage. This will allow the service provider and their clients to communicate remotely, increasing the accessibility of the services being offered.

 

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-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.