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Trained a Convolutional Neural Network (CNN) model to classify human cell images whether parasitized or uninfected from Malaria. (Microsoft, Future Ready Talent)

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mukeshprasad/MalariaDetection-Classifier

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Malaria-Detection

  • An application for diagnosticians/doctors/people to detect a human cell image is parasitized or uninfected from the disease Malaria using a simple user interface.

Technology Stack:

  • Flask Framework
  • Python
  • JavaScript
  • jQuery
  • HTML
  • CSS
  • Bootstrap
Other: Google Colaboratory, Microsoft Azure, App Services, Virtual Machines, Azure Kudu

To Run the App on Local Machine:

  1. On your device, clone the repository from here.
  2. Create a python virtual environment in the directory. For more info, checkout these steps.
  3. Within this directory, install all the libraries depicted in the requirements.txt file
    • pip install -r requirements.txt
  4. Having installed all the libraries, run app.py file.
    • python app.py
  5. Open any web browser, type http://127.0.0.1:5000/ in the URL.

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Trained a Convolutional Neural Network (CNN) model to classify human cell images whether parasitized or uninfected from Malaria. (Microsoft, Future Ready Talent)

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