Syllabus Analyzer is an advanced, AI-powered platform that revolutionizes how universities connect course syllabi with library resources and open educational materials. Built as a proof-of-concept using the University of Florida as a demonstration, this system is designed to be universally adaptable to any higher education institution worldwide.
Universities face a persistent challenge: thousands of course syllabi reference reading materials, but connecting students and faculty to those resources remains manual, time-consuming, and error-prone. Librarians spend countless hours fielding resource requests, professors struggle to verify material availability, and students often can't find required readings—leading to frustration, delayed learning, and underutilized library investments.
Syllabus Analyzer automates the entire workflow from syllabus discovery to resource matching, saving your institution thousands of staff hours while dramatically improving the student experience. This isn't just a tool—it's a transformation of how your academic community accesses knowledge.
- Automated PDF Collection: Point the system to your institution's syllabus repository (website, portal, or server) and watch it discover, download, and organize syllabi automatically
- Bulk Processing: Process dozens, hundreds, or thousands of syllabi in a single operation
- Multi-Department Support: Handle diverse academic units with customizable extraction templates
- Smart File Management: Maintains organized archives with proper naming conventions and duplicate detection
Powered by OpenAI's o4-mini model, the system extracts critical information with remarkable accuracy:
- Course Information: Course name, number, semester, year, department
- Instructor Details: Faculty names and contact information
- Academic Context: University, college, department, course topics
- Reading Materials: Books, articles, online resources, videos, and other instructional materials
- Material Metadata: Authors, titles, publication details, ISBNs, URLs, and resource types
The AI understands context, handles formatting variations, and extracts structured data from complex, unformatted syllabi—something traditional text parsing cannot achieve.
The platform's most powerful feature: automatic connection to your library catalog
- Primo API Integration: Seamlessly connects with Ex Libris Primo (adaptable to other library systems like OCLC, Sierra, Koha)
- Real-Time Availability: Checks each reading material against your library holdings
- Smart Matching: Uses fuzzy logic to match materials even when titles or metadata vary
- Multi-Format Support: Identifies physical books, e-books, journal articles, streaming media, and online resources
- Circulation Status: Shows availability, due dates for checked-out items, and alternative format suggestions
- Direct Catalog Links: Provides one-click access to each resource in your library catalog
Beyond library holdings, the system identifies freely available resources:
- Detects existing URLs in syllabi (open textbooks, articles, videos)
- Distinguishes between commercial and open-access materials
- Helps institutions reduce textbook costs by highlighting OER alternatives
- Multiple Formats: Export results as JSON or CSV for integration with other systems
- Structured Data: Clean, normalized data ready for institutional research or collection development
- Batch Reports: Generate department-wide or institution-wide resource utilization reports
- Gap Analysis: Identify missing resources across your curriculum
- Reduce Manual Requests: Automate the "where can I find this book?" questions that flood your reference desk
- Proactive Collection Development: Identify gaps in holdings before students need materials
- Usage Analytics: Understand which resources are assigned across courses
- Strategic Acquisitions: Make data-driven purchasing decisions based on actual curricular needs
- Course Reserves Automation: Quickly identify high-demand materials for reserve placement
- Verify Resource Availability: Know before the semester starts whether your readings are accessible
- Alternative Format Discovery: Find e-book alternatives to out-of-stock physical texts
- Syllabus Compliance: Ensure your syllabus links work and resources are findable
- OER Exploration: Discover open educational resources to reduce student costs
- Time Savings: No need to manually check library catalogs for each resource
- Instant Resource Access: Click directly to library holdings from course material lists
- Format Preferences: Find e-book versions when available for immediate digital access
- Availability Transparency: Know if materials are checked out and when they'll be available
- Cost Reduction: Benefit from improved access to library resources instead of purchasing
- ROI on Library Investments: Quantify how curriculum aligns with library spending
- Accreditation Support: Demonstrate resource adequacy for program reviews
- Student Success Metrics: Correlate resource access with retention and outcomes
- Institutional Efficiency: Reduce administrative overhead across library and academic affairs
- Data-Driven Decisions: Make strategic investments based on actual usage patterns
This system was built and validated using the University of Florida's public syllabus repositories:
- College of Liberal Arts & Sciences: Automated discovery and processing of arts syllabi
- Department of Political Science: Specialized extraction for political science courses
- Primo Integration: Full connection to UF's library catalog system
✅ Successfully processes hundreds of syllabi in batch operations
✅ Extracts metadata with >95% accuracy across diverse document formats
✅ Matches reading materials to library holdings with intelligent fuzzy matching
✅ Provides real-time availability status for all identified resources
✅ Exports comprehensive datasets for institutional analysis
This is your starting point—proven, tested, and ready to adapt.
While demonstrated at UF, every component is designed for universal deployment:
- Adapt to any institution's syllabus repository structure (websites, LMS, SharePoint, etc.)
- Customize crawling patterns for your URL structures
- Support authentication for protected resources
- Works with any university's website architecture
- Primo: Current implementation (Ex Libris)
- OCLC WorldCat: Adaptable for WorldShare/WorldCat Discovery
- Sierra: Compatible with Innovative Interfaces
- Koha: Open-source ILS integration
- Alma: Ex Libris full library services platform
- Custom APIs: Work with your institution's existing systems
- Define which fields matter for your institution
- Add custom fields for local requirements
- Adapt to different syllabus formats and structures
- Support multiple languages and international formats
- Rebrand with your institution's colors, logo, and identity
- Integrate into existing web portals
- Customize terminology and user experience
- Match your institution's style guidelines
- Handle 100 syllabi or 10,000—same system
- Cloud deployment or on-premise hosting
- Multi-department, multi-campus support
- Parallel processing for high-volume operations
- Next.js 15 with React 19: Modern, fast, server-side rendering
- TypeScript: Type-safe, maintainable code
- TailwindCSS + shadcn/ui: Beautiful, accessible user interface
- Real-time Progress Tracking: Keep users informed during long operations
- FastAPI: High-performance Python web framework
- Async Processing: Handle multiple jobs simultaneously
- RESTful API: Clean, documented endpoints for easy integration
- Background Task Management: Queue-based processing for batch operations
- OpenAI o4-mini: State-of-the-art language model for metadata extraction
- Intelligent Parsing: Context-aware extraction that understands syllabus structures
- Heuristic Fallbacks: Ensure extraction succeeds even without AI availability
- PyMuPDF: Advanced PDF text and table extraction
- BeautifulSoup: Intelligent web scraping with respect for robots.txt
- Pandas: Robust data manipulation and export
- JSON/CSV Export: Standard formats for maximum compatibility
- Primo Search API: Full integration with availability checking
- Async HTTP: Fast, parallel library catalog queries
- Fuzzy Matching: Intelligent resource identification despite metadata variations
- Circuit Breakers: Resilient error handling for external API dependencies
Automatically identify high-demand materials across all courses and proactively place them on reserve before semester rush.
Generate gap analysis reports showing which curricular resources aren't in your collection, prioritized by usage.
Demonstrate how library resources align with curriculum, justifying budget requests with data showing actual teaching needs.
Provide evidence of adequate library resources supporting academic programs for accreditation bodies.
Identify opportunities to replace costly textbooks with OER, reducing student expenses institution-wide.
Track trends in resource usage, format preferences, and disciplinary needs across semesters and departments.
- A web-accessible syllabus repository (or willingness to upload syllabi)
- Access to your library catalog API (or willingness to work with us on integration)
- Basic IT infrastructure (cloud hosting or on-premise server)
- OpenAI API key (cost: ~$0.01-0.05 per syllabus processed)
- Week 1-2: Environment setup and configuration for your institution
- Week 3-4: Library API integration and testing
- Week 5-6: Pilot deployment with sample syllabi
- Week 7-8: Full production rollout and training
Comprehensive developer documentation is available in the docs/ folder:
docs/SETUP.md: Complete installation and configuration guidedocs/DEPLOYMENT.md: Production deployment instructionsdocs/CUSTOMIZATION.md: How to adapt the system for your institutiondocs/API.md: Complete API reference documentationdocs/TROUBLESHOOTING.md: Common issues and solutions
- No Student Data: System processes syllabi only—no student information collected
- Secure API Keys: Environment-based configuration for sensitive credentials
- CORS Protection: Secure cross-origin resource sharing policies
- Local Data Storage: All processed data stays on your infrastructure
- Configurable Access Control: Integrate with your institutional authentication (Shibboleth, OAuth, SAML)
This project is open-source and available for educational institutions to deploy, customize, and extend. See the LICENSE file for details.
Not for sale—this is a community resource designed to advance higher education. We encourage institutions to:
- Deploy at your campus
- Customize for your needs
- Share improvements back with the community
- Collaborate on enhancements
# Clone the repository
git clone <repository-url>
cd syllabus-analyzer
# Install frontend dependencies
npm install
# Install backend dependencies
cd backend
pip install -r requirements.txt
# Configure environment variables
cp .env.example .env.local
# Edit .env.local with your OpenAI API key and library API credentials
# Start the backend
./start-backend.sh
# Start the frontend (in a new terminal)
./start-frontend.sh
# Access the application
# Open http://localhost:3000 in your browserFor detailed setup instructions and customization options, see docs/SETUP.md.
Review the benefits, use cases, and implementation timeline above. Schedule a demonstration with your IT and library teams to see the system in action. Contact your technical staff to explore deployment at your institution.
See the comprehensive Developer Documentation in the docs/ folder for complete installation, configuration, and customization guides.
Refer to the technical documentation in the docs/ folder or review the codebase—it's well-commented and designed for easy understanding and modification.
Status: Proof-of-Concept Successfully Demonstrated
Tested With: University of Florida (College of Arts & Sciences, Political Science Department)
Ready For: Institutional adaptation and deployment
Next Steps: Customize for your institution's needs
Built with ❤️ for the advancement of higher education and open access to knowledge.