aws-solutions-constructs.aws-fargate-s3

Your task is to develop a cloud-based image processing application using the AWS CDK with the 'aws-solutions-constructs.aws-fargate-s3' package. This application will allow users to upload images, which will then be processed by a Docker container running on AWS Fargate. The processed images will be stored back into an S3 bucket. Here’s a detailed breakdown of the requirements and features:

1. **User Interface**: Create a simple web interface where users can upload images. This can be a static HTML page with a file input field.
2. **Image Upload**: When an image is uploaded, it should be sent to an S3 bucket. Use the 'aws-solutions-constructs.aws-fargate-s3' package to set up the necessary resources for this.
3. **Fargate Task**: Define a Docker container that contains an image processing tool (e.g., Pillow for Python). Configure this container to run as a Fargate task triggered by new objects being added to the S3 bucket.
4. **Processing Logic**: Implement a basic image resizing operation within your Docker container. For example, resize all images to a standard thumbnail size.
5. **Storage**: Store the original and processed images in different folders within the same S3 bucket.
6. **Notification**: Send an email notification to the user once the image processing is complete. You can use AWS SES for this purpose.
7. **Security**: Ensure that only authorized users can upload images and that the S3 bucket has proper access controls.
8. **Monitoring and Logging**: Set up CloudWatch logs to monitor the status of the Fargate tasks and any errors encountered during the processing.

The 'aws-solutions-constructs.aws-fargate-s3' package simplifies the process of integrating AWS Fargate with S3, allowing you to focus more on the business logic of your application rather than the infrastructure setup. Your goal is to create a fully functional, end-to-end application that demonstrates these capabilities.