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

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MagineAI: AI-Powered Personalized Magazine Generator

Steffy Maria Joseph, Anu Soman, Arshak Arshak Perumballi, Bhavya R Warrier et al.
Zenodo (CERN European Organization for Nuclear Research)
Topic Modeling
article

MagineAI: AI-Powered Personalized Magazine Generator

Steffy Maria Joseph, Anu Soman, Arshak Arshak Perumballi, Bhavya R Warrier, Musniya Fidha U, Athul Krishna A P, Anil Das Poolatt, Ridha Chungath
article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 28%
Topic Modeling
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.