https://github.com/hadiuzzaman524/digit-recognition-with-tflite

A mobile app that can take handwritten input from a touch screen and classify it between 0 and 9.
https://github.com/hadiuzzaman524/digit-recognition-with-tflite

digit-recognition flutter flutter-mlkit machine-learning

Last synced: about 1 month ago
JSON representation

A mobile app that can take handwritten input from a touch screen and classify it between 0 and 9.

• Host: GitHub
• URL: https://github.com/hadiuzzaman524/digit-recognition-with-tflite
• Owner: hadiuzzaman524
• License: mit
• Created: 2021-12-08T16:57:56.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2023-12-30T05:11:07.000Z (almost 1 year ago)
• Last Synced: 2024-04-24T07:44:00.800Z (8 months ago)
• Topics: digit-recognition, flutter, flutter-mlkit, machine-learning
• Language: Dart
• Homepage:
• Size: 6.01 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Digit-Recognition

## Introduction:

To construct the Android application, I harnessed the power of the Flutter framework, a versatile toolkit developed by Google. Employing the Flutter-tflite package facilitated the integration of a deep learning methodology, enabling seamless incorporation of machine learning models. For text-to-voice functionality, I leveraged the Flutter-tts package, enriching the user experience with voice-based interactions. The implementation of handwriting recognition involved the adept use of the GestureDetector class and CustomPaint class. Through these components, user input from the touch-screen is converted into an image, subsequently processed by a pre-existing model, and the results are visually presented to the user.

# Home Screen