Conceptual

Automated Alt-Text Generation for EPUB Accessibility using Vision-Language Models

An end-to-end pipeline that generates descriptive alt text for images in EPUB e-books: it parses the EPUB and locates images, extracts visual features with CLIP and ViT, fuses them with the surrounding document text, and feeds the result to a fine-tuned transformer language model that writes the alt text, then rewrites the EPUB metadata for accessibility compliance. Students learn how vision-language models are chained with an LLM and how the output is validated with BLEU, cosine similarity, and user studies.