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Bring learning materials together
Organize a knowledge base from lecture videos, slide decks and textbooks in one study workflow.
Multimodal · Source-grounded · Adaptive
One tutor. Your learning sources.
AegisAI brings lecture videos, slides and textbooks into a source-cited learning experience—with adaptive assessments shaped by Bayesian Knowledge Tracing.
OmniTutor · Study spacePersonal learning
Lesson · Source-grounded answer
Understand the key idea
Ask about a concept from your learning materials and follow an explanation linked to its source.
“The explanation is connected back to the material you are studying.”
Source citation · lesson material
Source citation · lesson material
Learning progressPractice adapts as understanding develops
Multimodalvideos, slides & textbooks
Source-citedanswers grounded in materials
AdaptiveBayesian Knowledge Tracing
Androidnative app project
A connected study toolkit
Study, ask, practise—and see what’s next.
The repository’s Android project structure brings together learning materials, tutoring, assessments and progress-oriented study tools.
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Ask with sources in view
Explore tutor chat and citation-viewing components designed to keep explanations connected to references.
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Practise with a learning path
Assessment, mastery tracking and course-flow components support practice that responds to learner progress.
The idea
Ground knowledge. Guide practice.
Help learners move from a pile of resources to a more focused, measurable study session.
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Bring in study sourcesUse learning materials such as videos, slides and textbooks as the foundation.
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Learn with contextConnect tutor explanations to cited source material and study tools.
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Adapt the next practiceUse Bayesian Knowledge Tracing as the basis for learner-aware assessment.
More than a chat window
The codebase also includes components for assessments, a mastery dashboard, multimodal whiteboard solving, custom study sessions and course-flow mapping.
See the implementation on GitHub.
Visit the repository for the Android project structure, technical details and future updates.
View AegisAI on GitHub