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@article{199234,
        author = {Mohammed Abrar Khan and Mandalozu Pranav and Dr. K. Rajitha and Dr. V. Subbaramaiah},
        title = {Script2Scene: A Natural language Interface for Educational Animation Generation},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {13971-13977},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=199234},
        abstract = {In recent years, artificial intelligence has significantly advanced creative and educational technologies, enabling new modes of content generation and user interaction. This project, titled “Script2Scene: A Natural Language Interface for Educational Animation Generation,” seeks to simplify the traditionally complex process of animation creation by allowing users to generate high-quality educational videos from plain text prompts. Manim, a powerful open-source Python library, is widely used for mathematical and conceptual animations but requires substantial programming expertise, limiting its accessibility. Script2Scene overcomes this barrier by integrating a Large Language Model (LLM) to automatically generate Manim-compatible scripts from natural language input.  Script2Scene has strong educational relevance, offering educators, students, and content creators an accessible way to produce visual explanations, lectures, and learning materials without technical expertise.},
        keywords = {},
        month = {April},
        }