Educational Text Summarization with GenAI
The Problem Statement
To develop a Generative AI-powered EdTech tool which summarizes highlighted or selected text in the uploaded e-book to make online education and concept understanding smoother.
The Solution
KritiKal’s team developed a Vision Language Model-based (VLM) solution that allows students to select a particular area or figure in the uploaded e-book or pdf and provides a simplified explanatory summary. It showcases an intuitive web UI-based dashboard for upload and sidebar to scroll through pages. The solution is enabled with OCR to read text in the selected image and Large Language Models (LLMs) to interpret a given formula, figure, diagram, paragraph or page as well as provide detailed explanation. It compares and contrasts various shapes and graphical representations to derive the right explanation for students to grasp the concept along with integrated text-to-speech assistance.
Benefits Delivered
With KritiKal’s GenAI-powered text summarization, students can quickly understand the extracted content highlighted or selected in the uploaded e-book. Along with concise summaries of large pages, figures and paragraphs, present in e-book with or without context, LLMs can easily provide text-to-speech explanation. Accuracy of the summary or detailed content provided within minimal time is enhanced with precise OCR extraction embedded in the VLM design model.
Technology Used
- GPT-4, BERT, T5
- Natural Language Processing
- Tokenization
- Attention Mechanisms
- Transformers