Productization Sprint · Student-first, school-supported pilot path

Learn the wayyour brain works.

AI that adapts to how YOU learn.

NeurIQ builds a living cognitive profile of how you learn — your attention, pace and forgetting curve — then generates personalized courses, spaced-repetition reviews, adaptive practice and skill trees around it.

A cognitive-aware learning studio that turns any topic into a personalized plan, adaptive practice, and a visual map of what you've mastered.

Join the Pilot → See how it works

~10sTo generate a course

9AI learning tools

3Cognitive engines

EN / TRBilingual

The Problem

Most learning tools treat every brain the same.

Generic courses, content you forget within a week, and dashboards full of numbers that never tell you what to do next. The result is wasted hours and stalled motivation.

📉

You forget faster than you learn

Without spaced repetition timed to your forgetting curve, most new material is gone within days.

🎯

One-size-fits-all content

Courses ignore your pace, attention span and prior knowledge — so you're either bored or lost, rarely in flow.

🧩

Learning ≠ doing

Watching lectures isn't the same as doing the work. Without active practice and recall, knowledge fades instead of becoming usable skill.

Why NeurIQ

Three engines you won't find stacked together anywhere else.

Personalization and analytics are table stakes now. NeurIQ's real edge is the combination of cognitive profiling, adaptive practice and visual mastery — built into one continuous loop.

Cognitive Profiling Engine

Signals like response time, accuracy, confidence and session length build a live model of how you learn — and update it every session.

Attention, pace, review-need & difficulty preference
Powered by a dedicated Python analytics service
Shapes the recommendations you see

Adaptive Practice & Recall

Quizzes, flashcards, spaced repetition and a Feynman board work as one loop — and when you're confident but wrong, hypercorrection turns the mistake into a stronger memory.

Spaced repetition timed to your forgetting curve
Hypercorrection on confident mistakes
Feynman board surfaces what you misunderstood

Interactive Skill Trees

Every topic becomes a visual mastery map. Nodes hold theory, quizzes and flashcards, and light up as you progress — your knowledge made tangible.

Auto-laid-out DAG with mastery colors
Theory + quiz + flashcard nodes
Shareable as social proof of skill

How It Works

One prompt to a complete, personalized learning loop.

Type a topic — or paste your own notes. In about ten seconds NeurIQ generates a structured plan and all the practice around it, then keeps adapting as you go.

Describe a topic

"Introduction to Machine Learning" — or upload your lecture notes & materials.

Get a full course

A 1-week plan with modules, a quiz and 10 flashcards — generated and ready.

Practice & reinforce

Spaced repetition, the Feynman board and an AI tutor lock it into long-term memory.

The system adapts

Your cognitive profile refines after each session, retuning plans, reviews & difficulty.

The Full Toolkit

Nine AI-powered tools in one focused workspace.

Everything a serious learner needs — generation, practice, reflection and analytics — without tab-hopping across five different apps.

Cognitive Analytics & Profile

Retention heatmaps, forgetting-curve projections and a metacognition view that show not just what you know, but how you learn — and exactly what to review next.

Cognitive Engine

AI Course Generator

Any topic → a structured plan, modules, a quiz and flashcards in about ten seconds. Async & queued, so you keep working while it builds.

Spaced Repetition

Reviews timed to your personal forgetting curve — not a generic interval.

Smart Flashcards

Auto-generated from your material, with flip-based recall and mastery tracking.

AI Tutor

A contextual chat tutor that knows your course and answers in plain language.

Feynman Board

Explain a concept in your own words; the AI surfaces your misunderstandings.

Mock Interview

Practice technical interviews with AI questions, timing and performance history.

Career Pathway

A skill-tree progression with levels and XP that maps learning to a real goal.

Smart Notes & Copilot

Markdown notes with one-click "summarize" and "make flashcards" actions.

Under the Hood

Production-grade engineering, not a prototype.

NeurIQ is a full-stack monorepo with a dedicated cognitive-analytics microservice. Type safety, accessibility, bilingual i18n and defensive null-handling are baked into the codebase standards — not bolted on later.

Async, queued AI generation with job polling & resilient fallbacks
Cognitive analytics isolated in a Python service for clean separation
Light/dark theming, EN/TR i18n and a custom design system
Playwright E2E plus unit tests across client and server

🎨Frontendclient/

React 18ViteTypeScriptTailwind CSSFramer MotionRecharts

⚙️Backend APIserver/

Node.jsExpressPrisma ORMPostgreSQLJWT AuthJest

🧠Cognitive Servicepython_service/

FastAPIProfiler engineMemory modelAnalytics

🤖AI & Qualityinfra

LLM generationPrompt cachingPlaywright E2ECI checks

Roadmap

From productization foundation to a measured student pilot.

The immediate goal is simple: help a new student create a first course and complete a five-question starter quiz within five minutes. Schools support the pilot; the student experience stays the product.

Phase 1 · Now

Productization Foundation

Basic student registration
First-course activation path
Starter quiz + immediate feedback

● Core product live

Phase 2

Pilot Readiness

Reliability & browser QA
Consent + anonymized aggregate metrics
Pilot success metrics & playbook

Phase 3

School-Supported Pilot

Free, time-boxed student pilot
Measure activation & retention
Schools support — no teacher dashboard

Phase 4

Learn & Scale

AI cost & content quality
Access model based on evidence
Widen beta after product signal

About

Built by a student, for self-directed learners.

I'm a Year 1 AI & Data Science undergrad at Bournemouth University. Between juggling AI, data science and a real interest in how the brain learns, I kept hitting the same wall: everyone learns differently, but almost every tool treats us all the same.

NeurIQ is my answer — a learning companion that adapts to your brain, not a one-size-fits-all syllabus. I'm building it in the open, shipping fast, and validating every feature with real users.

Get in touch directly

Use Cases

Who is NeurIQ for?

Tackling complex coursework

University coursework can be overwhelming. NeurIQ breaks down dense academic material into personalized study maps and quizzes — so you can ace midterms and finals with less stress and better retention.

Mastering new frameworks & AI

Learning to code or diving into machine learning takes deliberate practice. NeurIQ generates adaptive coding quizzes and challenges based on exactly where you're getting stuck.

Learning anything that sticks

Whether you're exploring neuroscience or picking up a new language, NeurIQ adapts to your demands and tracks your metacognition so you retain knowledge efficiently over time.

FAQ

Questions, answered.

Who is NeurIQ for?

Students, self-taught developers and lifelong learners — anyone who wants to learn faster and actually retain it. It's especially friendly to learners who struggle with focus and consistency.

What exactly is a "cognitive profile"?

A live model of how you learn — your attention, pace, review needs and preferred difficulty — built from signals like response time, accuracy and session length. It powers every recommendation in the app.

How is this different from other AI learning apps?

Most stop at personalization and dashboards. NeurIQ stacks three engines together — cognitive profiling, adaptive practice and visual skill trees — so learning turns into retained, demonstrable skill.

Is the pilot free?

Yes. The initial school-supported pilot is free and time-boxed. The goal is to validate student activation and retention before making pricing commitments.

How fast is course generation?

Around ten seconds for a full course — a 1-week plan, modules, a quiz and flashcards — generated asynchronously so you can keep working while it builds.

How do I join the pilot?

Students can join the waitlist below, and schools or advisors can contact Mehmet directly about a small supported cohort. The pilot remains student-facing — no teacher dashboard or class-management rollout.

Learn the way your brain wants to.

Interested as a learner, advisor or school partner? Join the waitlist for a free, time-boxed student pilot focused on proving first-course activation and early learning value.

We respect your privacy. No spam, ever.