Given Image Data of Chest X Ray.Predicts whether the patient is effected by Covid19 or Normal using Covolutional Neural Networks. Trained on Google Colab by Transfer Learning using ResNet50V2 Model.

• Traning on GoogleColab.
• Image Data preprocessing.
• Data Visualization and Exploratory Data Analysis.
• Image Data Normalization and Scaling.
• Using Image Data generator for Image Data Augmentation and ImageDataGenerator flow from directory for Class Batch Division to train on.
• Training by Transfer Learning using ResNet50V2 Model.
• Compiled using AdamOptmizer as optmizer and binary_crossentropy as the loss function as its binary class classification problem.
• Solving Overfitting issues using EarlyStoppings Callbacks and Dropout Layers in Network.
• Hyperparameter Tuning the Algorithms yielding best results.
• Testing the model on custom reallife XRay Image data.

https://www.kaggle.com/alifrahman/chestxraydataset

• TensorFlow 2
• Keras
• Scikit-Learn
• Seaborn
• Matplotlib
• Pandas
• Numpy