/Malaria-Detection-using-CNN

Primary LanguageJupyter Notebook

Malaria Detection using CNN

In this project we have used Convolutional Neural Networks(CNN) to train a model that can predict if a patient is infected with malaria or not. Model trained using IBM Cloud Services and we have acheived over 96% accuracy and deployed it using a Flask Application.

Team Members (Team Brogrammers)

  • Pratham Shah (19BCE2028)
  • Anannya Popat (19BBS0048)
  • Jhanak Gupta (19BCE2037)
  • Neeladri Chatterjee (17MIS7137)

Link to the dataset

Malaria Dataset

Link to the Video Demonstration

Video Demo of the Malaria Datatset

Link to the Feedback Video

(https://drive.google.com/file/d/1J-n6OFDWNdB2g-DW657wNcFp1RbfMp8Z/view?usp=sharing)

Libraries Used

  • Tensorflow
  • Keras
  • FLask
  • Numpy
  • Matplotlib

Languages used for Website Building

  • HTML
  • CSS
  • Bootstrap

Applications Used

  • IBM Cloud
  • IBM Watson Studio
  • Jupyter Notebook
  • Spyder