CanAI Institute - AI-Powered Academic Journal Platform

About this project

Designed and developed a comprehensive academic journal management platform that leverages Google's Gemini AI model to revolutionize the scientific peer review process. The platform serves as a complete ecosystem for academic publishing, from manuscript submission to peer review and publication.

Key Features & Technical Implementation

AI-Powered Review System
• Integrated Google Gemini Co-Scientist model for intelligent manuscript analysis
• Automated AI detection and plagiarism screening
• AI-assisted review letter generation for editors and reviewers
• Intelligent manuscript triage and categorization

Complete Manuscript Management
• End-to-end submission workflow with multi-step validation
• Real-time collaboration tools for authors, reviewers, and editors
• Automated file processing and document management
• Custom manuscript tracking with unique identifiers

Multi-Role Dashboard System
• Author Dashboard: Submission tracking, revision management, publication status
• Reviewer Dashboard: Assignment management, review tools, deadline tracking
• Editor Dashboard: Manuscript triage, reviewer assignment, decision workflows

Advanced Review Management
• Kanban-style workflow visualization for manuscript status tracking
• Automated reviewer assignment based on expertise matching
• Real-time notifications and email integration
• Comprehensive audit trails and review history

Technical Architecture
• Backend: Node.js/Express with MySQL database
• Frontend: EJS templating with responsive CSS/JavaScript
• AI Integration: Google Gemini API for content analysis
• Security: bcrypt authentication, session management, role-based access control
• Infrastructure: PM2 process management, Nginx reverse proxy
• Email System: Automated notifications and communication workflows

Innovation & Impact
The platform addresses critical bottlenecks in academic publishing by:
• Reducing review turnaround times through AI-assisted analysis
• Improving review quality with AI-powered insights
• Streamlining editorial workflows with intelligent automation
• Enhancing author experience through transparent tracking systems

Technical Highlights
• Scalable Architecture: Designed to handle multiple journals and thousands of submissions
• AI-First Approach: Every workflow optimized with AI assistance to accelerate scientific research
• Real-time Collaboration: Live updates and notifications across all user roles
• Mobile-Responsive: Fully functional across all device types
• Security-Focused: Comprehensive authentication and authorization systems