International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Volume 8 Issue 5
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MathVizAI: An AI-Powered System for Context-Aware Mathematical Visualization from Textbooks

Author(s) Mr. Sai Anuj Sambarapu, Mr. Siddartha Naroju, Mr. Praveen Dharavath, Prof. Dr. Shyam Sundar Rao, Battula Balnarsaiah
Country India
Abstract Mathematical concepts presented in textbooks are predominantly symbolic and static, which often limits learners’ ability to develop strong conceptual understanding. Although animated visualizations can improve comprehension, creating such content manually is time-consuming and requires specialized expertise. This paper presents MathVizAI, an AI-powered system that automatically converts mathematical content from textbooks into short, context-aware animated visualizations. The proposed system integrates mathematical optical character recognition, symbolic parsing, large language model–based semantic reasoning, and programmatic animation generation using Manim. Given a selected region from a textbook, MathVizAI extracts mathematical expressions, interprets their conceptual structure, generates a structured animation plan, and renders an explanatory video without human intervention. The system emphasizes semantic consistency, visual clarity, and structured explanation rather than direct symbolic transcription. Experimental results on undergraduate-level mathematics content demonstrate that the pipeline can reliably generate executable animations for a majority of extracted expressions, supporting the feasibility of automated mathematical visualization for educational use.
Keywords Mathematical OCR, LaTeX extraction, large language models, programmatic animation, Manim, automated mathematical visualization.
Field Computer Applications
Published In Volume 8, Issue 2, March-April 2026
Published On 2026-04-19
DOI https://doi.org/10.36948/ijfmr.2026.v08i02.73655
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E-ISSN 2582-2160
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CrossRef DOI prefix of IJFMR is 10.36948/ijfmr

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