The Pneumonia Detection utilizes AWS Sagemaker and Lambda, employing a dataset of 5,863 X-Ray images with two categories (Pneumonia/Normal). The model is trained with hyperparameters such as a 224*224 image resolution, 15 epochs, and a hyperparameter tuner for optimizing performance through multiple training jobs
The project utilizes a normal ecommerce app which uses React for rendering, Firebase for authentication and Stripe for payment