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A Cross-Platform Application using TensorFlow-Lite and Flutter to recognize labels on fruits or vegetables to get more information about their trustworthiness.

Home Page: https://labelcheck.phibr0.de

Kotlin 0.23% Swift 0.73% Objective-C 0.07% Dart 75.29% Jupyter Notebook 14.07% Python 9.60%
app tensorflow-lite machine-learning image-classification

labelcheck's Introduction

Labelcheck 🏷️

Flutter Build Netlify Status GitHub issues

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Introduction

A Cross-Platform Application using TensorFlow-Lite and Flutter to recognize labels on fruits or vegetables to get more information about their trustworthiness. More Info: https://phibr0.github.io/labelcheck/

Contribute

You can fork this Repository, make changes and open a Pull Request for me to review! Espacially Translations are welcome! They are located in /lib/l10n/intl_{languageCode}_{countryCode}.arb

Installation

Playstore: Google Play

APK: Go to Releases

Compile it yourself: Flutter Documentation (You will need to register a Firebase Project and put the google-services.json inside the /android/app/ folder)

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