Portfolio case study
Food Recognition App
iOS SwiftUI prototype for food detection and nutrition-label OCR with crop-assisted text extraction and structured results.
Overview
Mobile CV prototype for food recognition and nutrition-label scanning. The public case study focuses on camera/image-picker flows, ML Kit text recognition, crop-assisted OCR toggles, nutrition-label detection calls, table extraction, and optional LLM structuring into user-readable JSON.
What It Covers
- Camera and gallery capture flows
- Crop-assisted nutrition label OCR
- Optional LLM result structuring
- Table-aware extraction path
Stack And Topics
- SwiftUI
- AVFoundation
- ML Kit
- OCR
- Nutrition Label Parsing
- LLM Structuring
Public Signals
- Public references and qualitative delivery signals are used where numeric benchmarks are not public.