Voice-based Learning System
AccessibilityA voice-first learning assistant supports navigation, instructions, and interactive learning using speech recognition and text-to-speech, reducing barriers for learners who benefit from auditory guidance.
University Research Project
AI • IoT • Accessibility
Personalized Learning Hub for Students with Special Needs
A lightweight, accessible learning platform that adapts to individual needs using AI-driven personalization, assistive interaction, and IoT-based feedback.
Abstract
Students with special needs often require tailored content delivery, alternative interaction methods, and supportive feedback mechanisms. This project proposes a Personalized Learning Hub combining accessible user interfaces, AI-based adaptation, and IoT-assisted learning tools.
The solution focuses on improving engagement and comprehension through voice-based learning, haptic guidance, adaptive learning paths, and object recognition activities — designed to be fast-loading, mobile responsive, and friendly for evaluators, lecturers, students, and parents.
Key Features
IoT Smart Glove (Haptic Feedback)
IoT • BLEA wearable smart glove provides tactile cues and feedback through BLE-connected haptics to support guided practice, step-by-step tasks, and safe interaction.
Smart Learning Adaptation System
AI PersonalizationAdaptive learning paths personalize content difficulty and pacing based on learner interactions, progress, and performance indicators.
Object Recognition Learning Tool
Computer VisionLearners explore real-world objects through camera-based recognition and guided prompts, connecting visual learning to everyday contexts.