Watson - NSS Front-End Capstone

By Dre Randaci

Summary: An iOS mobile application built on React-Native that allows users to take pictures of any object and get prediction classifications from IBM Watson's Visual Recognition service. Classifications are also provided with links to Google and Wikipedia for quick search results. Users can save pictures to their camera roll and access any picture they have previously taken for classification. Image details include a Google Maps view with marker for location discovery.

The app consumes a C#/.NET Web API (here) built specifically for this project.

Features

• Prediction classifications for countless categories
• Facial detection and classification
• Native iOS Swift transpiled from JavaScript/React-Native
• Camera Roll access
• AirBnB/Google Maps integration
• Multiscreen navigation

Technologies

• IBM Watson's Visual Recognition service
• Airbnb Maps
• Custom React-Native components
• React-Native style libraries:
  • React-Native Camera
  • React-Native Elements
  • React-Native Typography
• Transpiled from React-Native to Swift utilizing Xcode

Running the app on your device

• Make sure you have Xcode installed
• Clone the repo
• npm install in the root of the directory
• pod install in the ios folder
• Start Xcode and File > Open...
  • Navigate to the repo and inside the ios folder and select the Watson.xcworkspace directory
• Select a device to build in the simulator or connect your iPhone to your computer via USB and select that device (follow Xcode's instructions if running from your iPhone)
• Build the project

Screen Shots