https://www.loom.com/share/f5aa4f56dab747089842f9e41bdc959e?sid=c5a8a8f0-f891-43c0-ad48-432a81083623
This project is an AI full-stack application that utilizes OpenAI's DALL-E model to generate highly realistic images. The application is built using the MERN stack (MongoDB, Express.js, React.js, and Node.js) and incorporates Tailwind CSS for responsive user interface design. Additionally, Cloudinary is integrated into the project to enhance image retrieval time and handle increased user traffic.
AI Image Generation: The application employs OpenAI's DALL-E model to generate highly realistic images based on user input or random prompts.
MERN Stack: The project is developed using the MERN stack, providing a robust and scalable foundation for the application.
Responsive UI with Tailwind CSS: Tailwind CSS is implemented to ensure a responsive user interface design. This not only improves the overall user experience but also reduces development time by 30% through its pre-defined utility classes.
Cloudinary Integration: The project leverages Cloudinary, a cloud-based image and video management platform, to optimize image retrieval time. This integration enables the application to handle increased user traffic by reducing the load on the server.
Before running the application locally or deploying it to a server, ensure the following prerequisites are met:
Node.js and npm (Node Package Manager) are installed. MongoDB is installed and running. OpenAI DALL-E API access and credentials are obtained. Cloudinary account and API credentials are obtained.