
CanAI Institute - AI-Powered Academic Journal Platform
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
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