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CogniO
Cognitive mastery platform

Upload. Diagnose.
Learn. Apply. Master.

CogniO turns your notes, slides, textbooks and lectures into a full training system: knowledge mapping, adaptive diagnostics, structured teaching, visual flashcards, case simulations, viva defence practice, and evidence-backed learning β€” with Exam Mode and Mastery Mode.

πŸ“₯ Multi-modal ingestion
🧭 Knowledge graph
πŸ§ͺ Diagnostics + profiling
🧠 Structured teaching
πŸ—‚οΈ Flashcards + spaced repetition
βš–οΈ Tradeoffs + synthesis
🎀 Viva / oral simulation
πŸ“š Credible research layer
πŸ“ˆ Predictive readiness
Start your workspace
Set your subject, exam date and formats. Then upload materials.
MCQ
Written Essays
Case Studies
True/False
Viva/Oral
Practical
Upload materials
MVP note: this UI supports files, but real PDF/DOCX parsing is handled by your backend or no-code workflows.
After launch, you’ll complete: Knowledge Diagnostic + Personality/Goal Diagnostic. Then the system teaches and trains you.
Dashboard
Exam Mode
Active workspace
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Modes
Exam Mode = rubric + time pressure + pass probability. Mastery Mode = ambiguity + tradeoffs + synthesis + defence.
Next recommended step
Run Diagnostics β†’ then Teach overview β†’ then Practice session.
Roadmap modules (placeholders)
Ingestion
Knowledge map
Diagnostics
Teaching
Flashcards
Case studies
Evidence search
Analytics
Ingestion
Multi-modal intake: PDFs, docs, slides, video transcripts, web links. This screen is the control center for ingestion + parsing.
Upload & parse
MVP: store files + extract text via your backend/no-code. Full spaceship: multi-modal + structural extraction.
Outputs
Expected: topics, definitions, frameworks, formulas, cases, references, and preliminary graph nodes.
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Knowledge Map
Full spaceship: auto-built knowledge graph with prerequisites + node mastery. MVP: topic list + manual linking.
Topics
Graph (placeholder)
Later: interactive node graph, dependency edges, weak-node highlights, prerequisite repair suggestions.
Diagnostics
Two diagnostics: (1) knowledge baseline, (2) personality/goal + pressure response to choose default mode + coaching style.
Knowledge diagnostic
Adaptive test (MVP: fixed set; spaceship: IRT/Bayesian). Outputs heatmap + weak-node list.
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Personality/goal diagnostic
Outputs your default mode (Exam/Mastery) and the tone blend (Mentor/Coach/Lab).
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Teach
Structured teaching first: overview β†’ mechanisms β†’ applications β†’ failure modes β†’ exam framing. This prepares you for flashcards and cases.
Orientation
Big picture: what matters, how topics connect, what to learn first.
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Visuals (placeholder)
Later: diagrams/flowcharts/label maps for each topic.
Practice
Adaptive questions (Exam) or deep reasoning (Mastery). Later: IRT + semantic grading + error clustering.
Generate question
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Flashcards
Visual + application-first flashcards. Later: spaced repetition with decay curves + weak-node resurfacing.
Generate deck
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Case Studies
Scenario ladders: basic β†’ constrained β†’ ambiguous β†’ synthesis. Later: expert rubric + structured answer coaching.
Generate case
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Viva / Oral Defence
Later: timed defence, cross-examination, assumptions challenged, limitation probing.
Start viva
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Evidence
Credible public search to strengthen weak areas when your uploads aren’t enough. Full spaceship: source grading + claimβ†’source mapping + counterarguments.
Search (placeholder)
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Analytics
Full spaceship dashboard: mastery by node, retention decay, exam readiness forecast, cognitive profile, transfer ability.
Mastery snapshot
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AI Tutor
Calm mentor + performance coach + cognitive lab (adaptive). MVP can be a simple chat; spaceship grades reasoning.
Ask
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Settings
Workspace
Reset
Clears local workspace (demo storage).
Integration note
This file is a front-end shell that β€œallows for everything” in the roadmap via screens + navigation. Actual capabilities (upload parsing, AI generation, scoring, search) should be wired to your Bubble workflows or API backend.