Integrating AI Image Generation in Web Applications Using the MERN Stack and GANs
| dc.contributor.advisor | Adamkó, Attila Tamás | |
| dc.contributor.author | Elsawwaf, Mohamed Hesham Farouk Hassan | |
| dc.contributor.department | DE--Informatikai Kar | |
| dc.date.accessioned | 2026-07-14T14:46:09Z | |
| dc.date.available | 2026-07-14T14:46:09Z | |
| dc.date.created | 2025-11-05 | |
| dc.description.abstract | The project delivers a full MERN-stack web application that lets users generate, share, and curate AI-created artwork. The React frontend organizes components for authentication, image generation, galleries, and profile management, with TailwindCSS ensuring a responsive interface. An Express/Node backend coordinates DALL-E image generation, and uses fluxcontext and runware, post management, social interactions, and authentication via Firebase, while MongoDB stores user and content data. Cloudinary provides external storage and delivery for generated images, reducing local overhead. Social features—likes, comments, favorites—and robust search across prompts, tags, and users deepen community engagement. Overall, the build emphasizes real-time AI integration, secure access control, and scalable content handling. | |
| dc.description.course | Programtervező informatikus | |
| dc.description.degree | BSc/BA | |
| dc.format.extent | 41 | |
| dc.identifier.uri | https://hdl.handle.net/2437/413137 | |
| dc.language.iso | en | |
| dc.rights.info | Hozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében. | |
| dc.subject | runware | |
| dc.subject | mern stack | |
| dc.subject | mongo db | |
| dc.subject | react | |
| dc.subject.dspace | Informatics::Computer Science | |
| dc.title | Integrating AI Image Generation in Web Applications Using the MERN Stack and GANs |
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