Malaria Edge Detection Project

LINK TO THE PROJECT: https://github.com/alihussainia/Malaria_Edge_Detection Malaria Edge Detection with OpenVINO Toolkit The project includes OpenVINO optimized image classification fast.ai model used to learn and classify healthy and infected blood smear malaria images. Why this Project Every 2 minutes, a child dies of malaria link and according to the World Health Organization's GHO data,globally, an estimated 3.4 billion people in 92 countries are at risk of being infected with malaria. But early diagnostics and treatment of malaria can save lives and prevent casualties.This is the reason of developing this project to make malaria detection and diagnosis fast, easy, and effective using Intel's OpenVINO based EDGE AI Model. How to use this Project Step 1: Open the notebook.ipynb (Available in this repository). Step 2: Click on the blue, Open in Colab Button Step 3: Hover to the Menu bar , Click on File Button, Click on Save a copy in Drive Step 4: Run the First Cell i.e. Mounting the drive Step 5: Hover to the Menu bar, Click on Runtime, Run after Result That's it, and it will do all the work on its own and soon, you will see how the inference will be applied on the input images (blood films) and result in AI based detection of whether the input blood film is of a Parasitized Patient or an Uninfected Person. Facebook: https://www.facebook.com/alihussainia Linkedin: http://www.linkedin.com/in/alihussainia

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