Real-Time Street Parking Detection iOS App with AI Model

ParkSignal is an iOS app that helps drivers in NYC find open on-street parking in real time. It uses a computer-vision model I trained myself to read live frames from public NYC traffic cameras and estimate which blocks have open curb space right now, with a vision-model fallback for edge cases. It's live on the App Store with roughly 4,000 downloads and about 18% week-two retention, all from organic and low-cost local marketing. The detection method is patent-pending. The sale includes the full iOS app, the Python/Flask backend, the trained detection model, and the patent filing, so a buyer gets a working product plus defensible IP rather than just code. It's a strong fit for anyone building in parking, mobility, or driver-facing navigation who wants a real-time street-parking data layer without building the computer-vision pipeline from scratch.