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This is the real-time visual AI interface, enabling users to analyze their environment through the mobile camera. Core capabilities include OCR, object detection, and scene understanding. Analysis results are presented using annotated visual overlays, persona-driven voice feedback (TTS), and context-sensitive haptic signals. A key feature is its integration with AI personas like "Ada," whose traits influence how feedback is delivered—making interactions feel more personal and adaptive.

This module transforms ExperienceAI into an interactive learning companion. Users select a domain (e.g., healthcare, programming, business) and their skill level. Guided tutorials then progress step-by-step, adapting dynamically based on visual input, task complexity, and user performance. Progress is tracked visually, with Ada offering real-time feedback, encouragement, and next-step suggestions. This system supports both individual learning and broader educational goals.

Built for offline environments, the PeerMediaSharing component supports direct file transfers via Bluetooth and Wi-Fi Direct. Users can send images, videos, and documents with real-time progress tracking, interactive device discovery, and batch operations. This enables collaboration without internet access. It's integrated with the larger platform to support both casual and academic media exchange.

This module provides a comprehensive classroom management interface. Teachers can create digital classrooms, assign activities, manage permissions, and monitor student engagement. Students receive assignments (including AI-driven tasks), submit responses, and earn performance-based streaks and badges. Role-based UIs and privacy controls ensure secure and personalized experiences for both educators and learners. The component supports integration with ExperienceAI and collaboration features, creating a full-loop educational ecosystem.

The HealthcareAssistanceService offers a suite of tools for visual medical analysis, mental health screening, wellness tracking, and emergency alerting. Using the device camera, it can detect medication labels, injuries, symptoms, or skin conditions. Users can log moods, medications, and daily activities, while emergency risks trigger alert flows and contact notifications. Data is encrypted and securely stored. This module provides safety-aware AI support, especially for users in underserved medical environments.

This system enhances all visual AI tasks by adapting responses to the active AI persona's expertise and personality. It adjusts how camera input is processed, how feedback is styled (visually and verbally), and how confident or cautious results should be presented. For example, a healthcare persona would offer safety-first insights and calming language, while a programming persona would prioritize debugging feedback and technical analysis. This fusion of personality and AI vision makes the system both intelligent and deeply humanized.