Resources

• GitHub Repository : https://github.com/dwaipayan05/CovCNN-WebApp
• Google Drive Link  : Notebook/Weight Files/Dataset

A Django Based Web Application built for the purpose of detecting the presence of COVID-19 from Chest X-Ray images with multiple machine learning models trained on pre-built architectures. Three different machine learning models were used to build this project namely Xception, ResNet50, and VGG16. The Deep Learning model was trained on a publicly available dataset, the SARS-COV-2-Ct-Scan Dataset. The purpose of this project is to apply Convolutional Neural Network (CNN) Architectures in solving problems of the pandemic on a preliminary stage.

Tools and Technologies Used

Some important libraries and technologies used are listed below

• Programming Language: Python
• Web Framework: Django
• Machine Learning Framework: Tensorflow
• Frontend Dev: HTML, CSS (BootStrap)
• Essential Libraries: keras, sklearn, venv, seaborn, matplotlib

A detailed list of all the libraries can be found here.