Перейти к содержимому

NeuroQuest | Adaptive AI Learning for Neurodivergent Learners | SIH 2026 Smart Education.

cyber wing

0:00 / 0:00

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 #NeuroQuest #SIH2026 #SmartIndiaHackathon #SmartEducation #AdaptiveLearning #AIinEducation #Neurodiversity #EdTech #ArtificialIntelligence #RAG #LLM #InclusiveEducation #Accessibility