Turn institutional datainto predictive power.

An intelligent programming tutor that helps computer science students learn by providing progressive hints and guidance without revealing complete solutions. Perfect for coding assignments, debugging practice, and developing problem-solving skills.

• Progressive hint system that adapts to student progress
• Supports multiple programming languages (Python, Java, C++, JavaScript)
• Identifies common coding patterns and suggests improvements

Advanced matching system that analyzes research publications, expertise areas, and funding opportunities to connect faculty members with complementary skills for successful collaborations and grant applications.

• Semantic analysis of research publications and abstracts
• Graph neural networks to map collaboration networks
• Funding opportunity matching based on research areas

Automated system for conference organizers and journal editors that matches submitted papers with the most qualified reviewers while detecting potential conflicts of interest and ensuring fair, unbiased peer review processes.

• SciBERT-powered semantic matching of papers to reviewer expertise
• Conflict of interest detection using co-authorship networks
• Reviewer workload balancing and availability tracking

Socratic method-based AI tutor that guides students to discover answers through thoughtful questioning rather than providing direct solutions. Particularly effective for STEM subjects where understanding the reasoning process is crucial.

• Socratic questioning methodology adapted for digital learning
• Subject-specific question banks for math, science, and engineering
• Adaptive questioning based on student responses

Advanced OCR and symbolic math processing system that analyzes handwritten mathematical solutions to identify specific error locations, misconceptions, and provide targeted feedback for improved learning outcomes.

• Advanced handwriting recognition for mathematical notation
• Symbolic math parser for step-by-step solution analysis
• Error classification and misconception identification

Intelligent analysis system that examines student free-text responses to identify specific misconceptions, knowledge gaps, and thinking patterns, providing educators with deep insights into student understanding.

• Natural language processing for student response analysis
• Misconception database covering major academic subjects
• Pattern recognition for common student errors

Comprehensive document management and analysis system that automatically organizes institutional evidence, maps documentation to accreditation standards, and identifies gaps in compliance preparation.

• Long-document transformer models for evidence extraction
• Automated mapping to ABET, AACSB, and regional standards
• Gap analysis and compliance reporting

Early warning system that analyzes multiple data sources to identify students at risk of academic failure or dropout, providing personalized intervention recommendations to improve retention and success rates.

• Multi-modal data analysis (LMS engagement, grades, financial aid, course patterns)
• Predictive modeling with explainable AI insights
• Personalized intervention recommendation engine

Automated assessment generation system that creates high-quality, standards-aligned questions from educational content with appropriate difficulty calibration and comprehensive answer analysis.

• Content analysis and question generation from textbooks and videos
• Automatic tagging to Common Core, NGSS, and state standards
• Difficulty calibration using item response theory

Automated curriculum mapping system that analyzes course assignments, rubrics, and assessments to ensure comprehensive coverage of learning outcomes and educational objectives.

• Automated assignment and assessment analysis
• Learning outcome mapping and gap identification
• Bloom's taxonomy classification and reporting

Comprehensive syllabus analysis tool that ensures course syllabi include all required institutional policies, legal statements, and accessibility information while maintaining consistency across departments.

• Automated policy statement detection and verification
• Accessibility compliance checking (ADA, Section 508)
• Template management and version control

Comprehensive faculty workload tracking and analysis system that accounts for all aspects of academic work including teaching, research, service, and administrative duties to ensure equitable distribution.

• Multi-source workload data integration and analysis
• Weighted scoring for different types of academic work
• Demographic equity analysis and reporting