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Scriba Mobile Application

Flutter mobile application to translate hieroglyphs by capturing or importing images through smartphones alongside other features such as: storytellings feature that displays all myths and royals stories, Text-to-speech feature that displays the pronounciation of translated hieroglyph.

Technology used:

  • MobileNet Lightweight CNN
  • Flutter software development kit
  • Dart Programming Language
  • Figma for screens designs
  • Python Programming Language

MobileNet Lightweight CNN

MobileNet is specifically made for mobile and embedded vision applications. The main layers of the MobileNet architecture are built on depthwise separable convolutions that factorize a standard convolution into a depthwise one, and a 1x1 convolution called ’pointwise convolution’, which simplifies processing and makes MobileNet suitable for mobile devices.

Flutter

The app is developed using Flutter to be compatible with Android and iOS devices.

Dart

Dart is an object oriented programming language used in Flutter.

Figma

Figma is an online software used in designing wireframes and screens.

Python

Python is the language used in building the backend of scriba application, by implementing the MobileNet model to be trained and tested then get the best results to use the model in the processing of translation in the app.

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  • Makefile 62.6%
  • Dart 29.2%
  • Python 4.6%
  • Java 1.8%
  • HTML 0.7%
  • Objective-C 0.7%
  • Other 0.4%