Memory Mirror - Personal Context Trainer

A real-time visualization tool that demonstrates how AI perception dramatically changes when given personal context/memories. Built for Problem Statement #3 (Memory-Informed Experiences), Memory Mirror extracts and stores structured memories from user input, then shows side-by-side comparisons of AI responses with and without this context. Key insight: Users can immediately see why AI fails without memory and succeeds with it. Built by a non-technical founder in 6 hours while "vibe coding" - proving accessible AI development. Features: - Real-time memory extraction and categorization - Visual memory graph with confidence scoring - Side-by-side response comparison ("The Mirror Effect") - Memory timeline and type analytics - One-click demo mode for easy testing Impact: Demonstrates the critical importance of memory in AI interactions and showcases the potential of memory-informed AI agents.