Project Gallery
01 Project Overview
NutriScan is an iOS nutrition tracking application that uses Apple's Vision framework for OCR text recognition to extract nutritional information from food labels. Built with Swift and UIKit, the app provides automated data extraction, manual entry fallback, and data visualization through interactive bar charts. The app features CoreData persistence, daily target tracking, and a clean three-screen navigation architecture.
02 Key Features & Achievements
OCR-based nutrition scanning using Apple's Vision framework for automatic extraction of protein, fat, sugar, and calories from food label images
Manual data entry fallback with validation for when OCR fails or user prefers manual input
CoreData persistence for local storage of nutrition entries with timestamps
Interactive data visualization with bar charts showing nutrient totals and daily percentages using DGCharts
Clean three-screen navigation architecture: Welcome → Scan → Stats with intuitive user flow
Daily target tracking with percentage calculations based on recommended daily values (50g protein, 70g fat, 50g sugar, 2000 kcal)
Text parsing with regex patterns handling multiple keyword variations and unit awareness (g, mg, kcal, cal)
03 Technical Stack
04 Challenges & Solutions
Implementing accurate OCR-based nutrition extraction from food labels with varying formats and text positioning, while providing a smooth user experience
The project required integrating Apple's Vision framework for OCR text recognition, developing regex parsing to handle multiple keyword variations and unit formats, implementing error handling for OCR failures, and creating an intuitive three-screen navigation flow. Challenges included handling calories positioned separately on labels, managing asynchronous OCR processing with main thread UI updates, and ensuring CoreData persistence across app launches.
05 Key Achievements
Successfully implemented OCR-based nutrition extraction with Vision framework achieving high-accuracy text recognition
Built complete iOS app with three-view architecture and smooth navigation flow
Integrated CoreData for persistent storage with type-safe entity classes and efficient batch operations
Created interactive data visualization dashboard with bar charts and daily percentage tracking