This project is focused on developing an AI-driven retail platform using the MERN stack (MongoDB, Express.js, React.js, Node.js) to revolutionize the healthcare sector. The platform is designed to streamline product management, order tracking, and user engagement, ensuring a smooth experience for buyers, sellers, and administrators. With features like dynamic category management, personalized product recommendations, and affiliate marketing, it simplifies the journey from discovery to purchase while improving operational efficiency.

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.

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.