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baraa131313/Beyond21

Domaine:

healthcareeducation
Créateur:
bar
Hôte:
E-learning Tunisian Platform for individuals with down syndrome AI-Driven Cognitive and Interactive Learning Framework for Individuals with Down Syndrome Overview This project presents a comprehensive AI-driven framework designed to support individuals with Down Syndrome Unlike single-task systems, this solution integrates multiple AI modules to address: Communication difficulties Learning challenges Emotional monitoring Medical analysis The goal is to deliver a unified, adaptive, and intelligent assistive system for both users and caregivers. Key Features Speech assistance and pronunciation correction Adaptive and personalized learning Emotion and behavior monitoring Brain MRI anomaly detection Explainable AI for transparency Complete AI Solutions Speech & Communication Solution This module improves communication abilities by: Using Whisper for speech recognition Handling unintelligible or atypical speech Detecting mispronunciations using: GOP (Goodness of Pronunciation) CTC alignment Providing real-time pronunciation correction Adaptive Learning Solution This module personalizes the learning experience: Reinforcement Learning (DQN) Neutrosophic + Fuzzy clustering Dynamic difficulty adaptation Learner profiling based on performance Emotion & Behavior Solution This module monitors user state: Facial emotion recognition (EfficientNet + Transformer) Detection of: Frustration Engagement Attention tracking (eye tracking) Behavioral data logging Medical Analysis Solution This module provides clinical insights: Brain MRI anomaly detection Diffusion models (DDPM / DDIM) Reconstruction of normal-like MRI Heatmap-based anomaly localization Explainable AI Solution Ensures transparency of AI decisions: Grad-CAM visualization Highlights important brain regions: Hippocampus Cerebellum Cortex Ventricles Global System Workflow Input: Speech Images (face) Behavioral signals MRI scans Processing: Each module analyzes its modality Adaptation: Learning adjusts in real-time Feedback is generated Output: Speech correction …