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This simple mobile application predicts handwritten numbers, either by analyzing images or by directly drawing them on the screen.

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ajay-vikram/Handwritten-Digit-Predictor-App

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Handwritten Digit Predictor App

Description

The Handwritten Digit Predictor is a Flutter-based mobile app that uses a custom machine-learning model to predict handwritten digits. It offers two modes of input: image upload and on-screen drawing.

Usage

  1. Launch the app on your device or emulator.

  2. Choose a prediction mode:

    • Image Upload: Tap the "Image" tab to select an image containing a handwritten digit from your gallery.
    • On-Screen Drawing: Tap the "Draw" tab and use the drawing area to draw a digit directly on the screen.
  3. The prediction is displayed below the image.

Running the iOS App in Xcode

If you prefer to use Xcode for iOS development, follow these steps:

  1. Open the Project in Xcode:

    • Open a terminal window.
    • Navigate to your project directory using the cd command.
    • Open the Xcode project for your app with the following command:
      open ios/Runner.xcworkspace
  2. Select a Target Device:

    • In Xcode, use the device selector in the toolbar to choose the target device. This can be a physical iOS device connected to your Mac or an iOS simulator.
  3. Build and Run:

    • Click the "Run" button in the top-left corner of Xcode.
    • Xcode will build and deploy the app to the selected iOS device or simulator.

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This simple mobile application predicts handwritten numbers, either by analyzing images or by directly drawing them on the screen.

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