NeuroQuest | Adaptive AI Learning for Neurodivergent Learners | SIH 2026 Smart Education.
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NeuroQuest | Adaptive AI Learning for Neurodivergent Learners | SIH 2026 Smart Education.
19 просмотров · 10 дней назад
cyber wing
19 просмотров · 10 дней назад
NeuroQuest — Adaptive Learning for Neurodivergent Learners
Smart India Hackathon 2026 | Smart Education
NeuroQuest is an AI-assisted, accessibility-first adaptive learning platform designed to make digital learning more responsive to individual learner needs.
Instead of expecting every learner to adapt to a fixed learning interface, NeuroQuest adapts the learning experience around the learner while keeping the underlying learning objective consistent.
🔹 What NeuroQuest does
• Creates a learner-specific learning-support profile
• Adapts content difficulty, task size, pacing and representation
• Uses meaningful learning interactions as adaptation signals
• Provides contextual AI scaffolding through an LLM
• Uses RAG to ground AI assistance in approved educational content
• Evaluates learner responses and provides corrective feedback
• Updates the learner model based on new learning evidence
• Provides learner, caretaker and teacher/mentor insights
• Keeps personalization learner-controlled and non-diagnostic
🔹 Core Architecture
Observe → Interpret → Adapt → Assist → Assess → Update
The adaptation engine determines what should change, while the AI assistant provides contextual learning support when required.
🔹 Prototype Scope
The prototype demonstrates an adaptive learning workflow using curriculum-aligned educational content, learner profiling, assessments, adaptive learning decisions and grounded AI assistance.
🔹 Technology
Frontend: React, TypeScript, PWA
Backend: FastAPI, Python
Database: PostgreSQL
Vector Retrieval: pgvector / RAG
AI/ML: Learner-state modelling, adaptive rules, knowledge tracing
LLM: Contextual educational scaffolding
Deployment: Vercel + Render + Neon
Version Control: GitHub
🔹 The Core Idea
“The learner does not adapt to a fixed platform — NeuroQuest adapts the learning environment to the learner.”
Same learning objective. Different learning experience.
🔹 SIH
Problem Statement: #207 — Student Innovation: Smart Education
Project: NeuroQuest
Theme: Smart Education
Hackathon: Smart India Hackathon 2026
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