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About
PaperBanana is a specialized tool designed to create high-quality academic illustrations using a multi-agent AI framework. It facilitates the generation of publication-ready methodological diagrams and statistical plots quickly and efficiently. The tool operates by interpreting natural language descriptions provided by the user, then uses five AI agents to retrieve references, design layouts, apply styling, render visuals, and critique the outputs. This ensures that the visuals adhere to academic standards and accurately represent the intended methodologies or data. By focusing on iterative refinement and reference-driven generation, PaperBanana produces illustrations that are both visually coherent and technically accurate. The platform supports a variety of academic visualization needs, from architecture diagrams to statistical plots, and outputs these in high-resolution formats suitable for academic publications.
Problem & solution
Problem
Researchers need fast, publication-ready diagrams and plots
Solution
Multi-agent AI generates academic visuals from text/data
Who it's for
Researchers creating academic papers
Main features
- Methodology diagram generator
- Statistical plot generator
- Multi-agent workflow
- Reference-driven styling
- Iterative self-critique
Use cases
- Generate methodology diagrams
- Create statistical plots from data
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