canUpark
Moving beyond "vibe-coding." A full-stack, AI-native solution engineered for high-stakes urban navigation.
The Engineering Philosophy
While many AI apps are thin wrappers, CanUPark is a robust, end-to-end mobile ecosystem built by the Aurumetrics founders. We utilized a multi-LLM orchestration architecture: leveraging the specific strengths of various models for reasoning, code generation, and natural language processing—to build a production-grade application with rigorous data handling and security at its core.
How It Works: From Lens to Location
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Capture: Point your camera at any parking sign.
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Analyse: Our OCR identifies the variables (days, times, permit zones, and street cleaning schedules).
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Decide: The AI Agent processes the local time and parking sign to give you a definitive "Yes/No" and a countdown of when you need to move.
Neural Vision & OCR Engine
CanUPark doesn't just "look" at signs; it understands them. We’ve integrated an advanced Optical Character Recognition (OCR) pipeline that processes high-latency street imagery in milliseconds.
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Contextual Parsing: Our vision agents extract complex text from weathered, angled, or obstructed parking signs.
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Temporal Grounding: The system syncs with local time-zones and holiday calendars to cross-reference sign text against current legal restrictions.
Multi-LLM Reasoning Layer
Different parking scenarios require different levels of logic.
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The Interpreter Agent: Specialized in "translating" bureaucratic parking signage into human-readable permissions.
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The Validation Agent: Cross-checks vision outputs against municipal databases to ensure 99.9% accuracy in high-enforcement zones.
Full-Stack
Integrity
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Enterprise-Grade Security: Built with secure authentication and encrypted data transit, ensuring user location data is never compromised.
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Deterministic Reliability: We use AI to enhance the user experience, but the core logic is grounded in deterministic code to ensure the app remains functional in "edge case" urban environments where pure LLM hallucinations would be a liability.
Contact
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