Cloud Version Available: A cloud version of the AI Peer Reviewer is now available at https://www.rigorous.company/. Simply upload your manuscript, provide context on target journal and review focus, and receive a comprehensive PDF report via email within 1-2 working days. The cloud version is currently free for testing purposes.
This repository contains tools for making scientific publishing more transparent, cheaper, faster, and ensuring rigorous peer and AI review.
- Agent1_Peer_Review: Advanced peer review system with specialized agents for comprehensive manuscript analysis, detailed feedback, and professional PDF report generation.
- Agent2_Outlet_Fit: (In Development) Tool for evaluating manuscript fit with target journals/conferences.
- Agent1_Peer_Review: ✅ Ready for use
- Comprehensive manuscript analysis with specialized agents
- Detailed feedback on sections, scientific rigor, and writing quality
- JSON output with actionable recommendations
- PDF report generation (see below)
- Agent2_Outlet_Fit: 🚧 In Development
- Core functionality being implemented
- Integration with Agent1_Peer_Review in progress
- Testing and validation ongoing
This project includes a PDF report generator that creates a professional peer review report based on the outputs of the review agents.
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Ensure you have the required dependencies installed:
- reportlab
- pillow
- (Other dependencies as listed in requirements.txt)
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Make sure the following files are present and up to date:
- executive_summary.json (executive summary and overall scores)
- quality_control_results.json (detailed section, rigor, and writing results)
- logo.png (logo for the report header)
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Run the PDF generator script:
python Agent1_Peer_Review/pdf_generator.py -
The generated PDF will be saved to:
- Agent1_Peer_Review/results/review_report.pdf
- Cover page with logo, manuscript title, and overall scores
- Executive summary and detailed analysis pages for all assessment items (S1–S10, R1–R7, W1–W7)
- Visually appealing tables for scores and suggestions
- Professional layout, color coding, and consistent formatting
For more details, see the comments in Agent1_Peer_Review/pdf_generator.py.
- Python 3.7+
- OpenAI API key
- PDF manuscripts to analyze
- Dependencies listed in each tool's requirements.txt
This project is licensed under the MIT License.
Contributions are welcome! Please feel free to submit a Pull Request.