AI Powered maternal support Mobile App is being created to ensure that all individuals experiencing the pregnancy journey (no matter what that looks like), are supported mentally and emotionally. This app will serve as a companion for maternity, from the beginning through postpartum. As the pregnancy journey can look and feel different for everyone making it hard to read endless articles, books and take advice from others. Solution is here to help break the stigmas, and leverage AI/ML technology to create a personalized experience just for YOU. App is building a voice-first experience. This is an opportunity to-push the boundaries of voice interaction in a mobile app that truly captures the tone, emotion, and personalization of the end-user.

 

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.

 

The project aims to develop a web-based dynamic survey platform designed to capture consumer lifestyle preferences and habits. The survey will consist of four sections with approximately 20 questions and will incorporate conditional logic, ensuring that questions adapt based on user responses. If a respondent selects "yes" to a specific question, additional relevant questions will follow, while a "no" response will allow them to proceed to the next section. The survey should be easily accessible via email invitations or be completed directly by operators, ensuring flexibility in data collection.

The system should support data retrieval, reporting, and potential integration with marketing automation tools, making it a scalable and user-friendly solution for consumer engagement.