NKDr. Naveed Khan BalochAI Systems Architect
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Adaptive Learning Platform

LearnoviaX

LearnoviaX is a live adaptive learning platform built around personalized mastery. It helps learners choose courses or career roadmaps, complete onboarding, track progress, take quizzes, follow recommended next lessons, and receive AI-guided learning paths based on performance and goals.

Adaptive learningAI tutor agentsProgress tracking
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LearnoviaX project interface
Client TypeStudents, self-learners, online education teams, and EdTech founders
RoleFounder, AI product architect, and full-stack implementation lead
TimelineLive platform, deployed for learner onboarding and product validation
StatusLive product

Value Story

Adaptive learning designed for measurable mastery.

Learning Problem

Static course pages do not adapt

Students need guidance that responds to their level, gaps, quiz results, and learning progress instead of one-size-fits-all browsing.

Product Strategy

Personalized paths with measurable progress

The platform connects diagnostics, AI tutoring, quizzes, dashboards, and certificates into a coherent learning journey.

Market Value

A stronger EdTech proof point

LearnoviaX shows how AI can be used as a learning workflow, not just a chatbot placed beside course content.

My Contribution

From learning model to adaptive product experience.

Designed the platform positioning around adaptive, emotionally intelligent, multi-agent learning.

Mapped learner journeys across onboarding, course selection, roadmap exploration, lesson flow, quiz flow, and certificates.

Structured content models for courses, roadmaps, phases, lessons, quiz scores, learner profiles, and achievements.

Built a live product experience with marketing pages, authentication, dashboard, catalog, pricing, about, contact, profile, and certificate views.

Product Capabilities

What the user actually gets

Adaptive paths

Learners receive a guided route shaped by their goals, level, and performance signals.

AI tutor agents

Tutor interactions help explain concepts, answer questions, and keep students moving through the path.

Quizzes

Assessment checkpoints provide feedback loops for mastery, remediation, and progress decisions.

Certificates

Completion artifacts give learners a clear outcome and make progress visible.

System Architecture

Learner to mastery flow

01

Public product layer explains the adaptive learning promise, AI agents, courses, pricing, and contact paths.

02

Onboarding layer captures learner goals, background, and preferences for personalization.

03

Course and roadmap layer organizes individual courses and career paths into structured learning sequences.

04

Learning workspace layer tracks progress, quiz results, XP, lessons completed, active course, and achievements.

05

Certificate layer generates completion proof and reinforces learner motivation.

Outcomes

What this proves

  • Launched a live adaptive learning platform available at learnoviax.dev.
  • Created a full EdTech product flow from acquisition and onboarding to active learning and certificate generation.
  • Demonstrated applied AI product thinking in education, personalization, and learner engagement.
  • Added a strong live SaaS proof point for remote EdTech, AI product, and full-stack opportunities.

Technology

Core stack

Next.jsReactSupabaseAI AgentsAdaptive Learning

Work together

Need an AI learning platform that adapts to each user?

I can help shape adaptive learning architecture, AI tutor workflows, assessment logic, and learner-facing product experiences.

Open Live ProductSchedule a Call

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