Implement Deep Learning Techniques to detect Malaria

The project aims to build a Convolution Neural Network (CNN) model to detect Malaria in X-Ray Images

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  • ( 70 )
  • guided-inn1
    8 Hrs
  • guided-inn1
    Intermediate
Project Description
Malaria is a deadly, infectious mosquito-borne disease caused by Plasmodium parasites. These deadly parasites can live in your body for over a year without any problems! Thus, a delay in the right treatment can lead to complications and even death. Hence early and effective testing and detection of malaria can save lives. Convolutional neural networks (CNN) have the ability to automatically extract features and learn filters.  A Machine Learning solution for the detection of malaria requires manual input of the parameters — for example, size, color, the morphology of the cells, whereas implementing a Convolutional Neural Network (CNN) algorithm would greatly speed up prediction time while mirroring (or even exceeding) the accuracy of clinicians. 
           In this project, we will be building a deep learning model that can detect and classify malaria disease. A web application is integrated into the model, from where user can upload an  x-ray image and see the analyzed results on UserInterface

Architecture:



Project Activities

Skills you will develop

  • Python
  • Python Web Frame works
  • ANN
  • CNN

Mentor

Mahankali Surya Tej
Mahankali Surya Tej

ML Engineer

Mentor Rating star-fill4.8 / 5 (6)

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Reviews
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SYED RAZA

American University of Sharja, Sharja,UAE

It was a fruitful experience. A clear road map was provided to follow throughout the project along with an in-depth introduction of the packages required. The guided labs were extremely helpful and easy to follow.

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Harshitha Josyula

GITAM University,Hyderabad, India

The Guided Projects were not only based on solving real world problems but were also really informative, the smartinternz platform has each and every step in detail and even though if we were stuck at any point the Mentors would help us to resolve all our queries. overall it was a great experience.

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Anuraag Moharana

College of Engineering and Technology, Bhubaneswar, Odisha, India

I took Part of Aritificial Intelligence Guided Project from Smartinternz, it was a wonderful experience and highly motivating, It's a very innovative and smart platform for internships. It provides smarter ways of guiding and interacting with participants and educating through guided labs and projects. It really helped me in giving a boost to my career.