Shuyi Wang










Classroom Lecture Diagram Generator
Transform lecture transcripts into a complete set of Keynote-style 16:9 educational infographics, outputting two documents: an illustrated lecture version and a minimal image collection. One concept per image with fine-grained breakdown, four precision rules ensuring quality, five visual pattern templates, per-image visual QA, and programmatic verification before delivery.










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Lecture Diagram Generator
Converts lecture transcripts into Keynote-style 16:9 teaching infographics, outputting both a text-and-image explanation version and a minimal image set. Each figure represents one concept with fine-grained breakdown. Four strict accuracy rules ensure quality, five visual pattern templates are used, every visual is individually QA checked, and programmatic verification is performed before delivery.
ImageLecture Sketchboard
Transform any content into a series of hand-drawn whiteboard infographics perfect for classroom teaching. Break down topics finely, keep essential details, and adapt content length automatically, providing lecturers with ample visual aids for their explanations.
Academic Poster Generator
Transform an academic research paper PDF into a single portrait academic poster image end-to-end. AI adaptively determines visual style, information density, and color scheme, identifies the paper's "distinctive anchors" and presents them prominently, redraws diagrams, preserves original data charts, recreates evidence visuals (UI screenshots/chat screenshots) as high-fidelity mockups when extraction fails, filters out informal publication markers like preprint pagination, and generates a print-ready high-quality poster.
ImageCartoonized Explanation
Explains complex content for beginners using a cartoon visual style. Automatically divides content into modules, generates data-visualization-style cartoon images (16:9, white margins, specific color scheme) for each module, integrates original materials with AI-generated images, and outputs both full and simplified versions. Suitable for teaching and presentation scenarios.
ImageAcademic Poster Creation
Transform an academic paper PDF end-to-end into an A0 portrait academic poster image. AI adaptively determines the visual style, information density, and color scheme, identifies the paper's "featured anchor points" and presents them prominently. It redraws schematic diagrams, preserves original data charts, and for evidence-based visuals (UI screenshots/chat screenshots), redraws them as UI mockups with a "schematic" label when extraction is not possible. It also identifies and filters out informal layout identifiers such as temporary page numbers from online-first publications. Finally, GPT Image 2 generates a high-quality poster ready for printing and display.