AI-Driven : Smart-Crop, Super-Resolution & Walgreens API Integration

AI-Driven : Smart-Crop, Super-Resolution & Walgreens API Integration

Build a high-performance mobile app using Edge AI and the Walgreens Native Photo API for 1-hour retail pickup. This system uses Convolutional Neural Networks (CNNs) for saliency-mapped smart cropping, framing subjects perfectly for square magnets or large posters. Integrated super-resolution auto-encoders upscale low-res images to crisp 300 DPI print standards. A predictive ML routing engine parses JSON telemetry to map inventory across 9,000 stores. Built with CoreML/TensorFlow Lite and secure AWS S3 pipelines for a fast, cardless checkout.
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