• Develop an AI based detection systems that can aid radiologists to more rapidly and accurately interpret radiography images to detect COVID-19 cases


  • Designed the architecture for COVID-19 detection using Convolutional Neural Network(CNN)
  • Prepared Chest Xray images belonging to Normal, Pneumonia and COVID-19.
  • Trained the network, analysed and fine tuned the network performance
  • The model generated after validation and testing, can classify the chest X-Ray images. The solution also shows the heat map visualization of class activation maps for explainability


  • Higher detection accuracy (95%) than conventional image processing methods was achieved.
  • Can assist the radiologist and has real time performance