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Detect coronavirus in an automated way in x-ray images using COVID19KIT

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zekaouinoureddine/COVID19KIT

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COVID19KIT

COVID19KIT is an Android application, it can detect coronavirus in an automated way in x-ray images using the phone's camera or even by uploading an X-ray image from the gallery. The app is equipped with an universal chatbot with the help of Google API and Natural Language Understanding (NLU) platform Dialogflow.

Table of contents


Tech Stack

  • Android Studio
  • Java
  • DialogFlow
  • TensorFlow
  • Google API

Screenshots


Installation

Before we get to dive into the installation process, I just want to mention that my app's brain is a Deep Learning model that I created using Keras in one of my previous projects which you can find here. The Keras model built was converted to a Tflite model using the script below. Therefore, it can be added to an android studio project easily:

import tensorflow as tf
model = tf.keras.models.load_model('keras_model_path')
converter = tf.lite.TFLiteConverter.from_keras_model(model)
tflite_model = converter.convert()
open('modelname.tflite', "wb").write(tflite_model)

You can get a version of this app on your local machine, so go to your workspace directory and use the git command below:

$ git clone git@github.com:zekaouinoureddine/COVID19KIT.git

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