MagineAI: AI-Powered Personalized Magazine Generator
The paper proposes MagineAI, an AI-powered web platform designed to generate personalized digital magazines and story collections based on a user’s age, interests, and cultural background. The system integrates Large Language Models (LLMs) for generating narratives and Latent Diffusion Models for creating related illustrations, enabling a multimodal storytelling experience. A key focus of the platform is supporting Indian regional languages such as Malayalam, addressing the lack of culturally relevant digital content for non-English speakers. The architecture combines a React-based frontend and a FastAPI backend to generate, illustrate, and automatically format stories into professional magazine-style PDF documents. The system also includes content moderation and structured prompting techniques to ensure safe, coherent, and educational outputs, making it suitable especially for children and educational environments.
Authors
- Steffy Maria Joseph (ORCID: https://orcid.org/0000-0002-6047-0931)
- Anu Soman
- Arshak Arshak Perumballi
- Bhavya R Warrier
- Musniya Fidha U
- Athul Krishna A P
- Anil Das Poolatt
- Ridha Chungath
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-03-12
- DOI
- https://doi.org/10.5281/zenodo.18973598
- Primary Topic
- Topic Modeling
- Type
- article
- Field-Weighted Citation Impact
- 0.00