DeskReject Guard
AI-Powered Academic Manuscript Pre-Flight Auditor

DeskReject Guard is a multimodal AI system that automatically audits academic manuscripts for visual, formatting, anonymization, accessibility, and submission-rule violations before they reach the editorial desk. It cross-checks a paper against target journal or conference guidelines and identifies issues that conventional text-based proofreading tools cannot detect.

Key Features

• Figure–Caption Verification: Detects missing, mismatched, or incorrectly ordered figure sub-panels and captions.
• Double-Blind Anonymization: Finds author names, affiliations, institutional logos, repository links, and other visual or textual identity leaks.
• Typography & Print Readability: Checks chart labels, legends, fonts, image quality, DPI, and column-scale legibility.
• Citation & Figure Sequencing: Detects missing, orphaned, or out-of-order figure and table references.
• Accessibility Audit: Identifies colorblind-unfriendly visualizations and recommends accessible color palettes.
• Mandatory Statement Verification: Checks for required declarations such as data availability, conflicts of interest, ethics, and AI-use disclosures.
• Visual–Data Consistency: Detects discrepancies between reported metrics, tables, charts, abstracts, and conclusions.
• Actionable Fixes: Provides visual violation highlights, risk scoring, and ready-to-use LaTeX patches.

In short: DeskReject Guard acts as an AI pre-flight check for research papers**, helping authors catch preventable submission errors and reduce the risk of desk rejection.