sci-paper-assistant

You can generate an SCI paper from code by inputting your project repository path for automated analysis. The AI agents extract problem-solving logic, generate architecture diagrams, and draft all standard research sections automatically.

Yes, the automated paper generation supports outputting research drafts in LaTeX, Markdown, and DOCX formats. This allows direct submission to journals requiring LaTeX or Word documents without manual format conversion.

Automated diagram generation works by analyzing the codebase architecture and data flow logic. AI agents then synthesize this structural information to create system architecture diagrams embedded directly into the research paper methodology section.

Yes, the tool integrates Python dependencies like pandas, numpy, and matplotlib to interpret data processing logic. This enables the AI agents to accurately extract data workflows and generate corresponding methodology text for your research paper.

The best way to automate technical writing for code repositories is using an LLM agent to parse code structure and generate academic text. This approach eliminates manual drafting by transforming problem-solving logic into formatted research paper sections automatically.

No, you do not need to manually write the introduction or conclusion when converting code to a paper. The AI agents automatically draft all standard sections, including introductions, methodologies, results, and conclusions, based solely on the repository analysis.