aws-solutions-constructs.aws-lambda-s3

Develop a simple yet powerful image processing mini-application using Python and the AWS CDK constructs library 'aws-solutions-constructs.aws-lambda-s3'. This application will allow users to upload images to an Amazon S3 bucket, and automatically process these images using an AWS Lambda function. The processed images will then be stored back into the same S3 bucket, with a new filename indicating they have been processed. Here are the steps and features you should include:

1. **Setup**: Set up an AWS environment using the AWS CDK with the 'aws-solutions-constructs.aws-lambda-s3' package. Ensure you have an S3 bucket and a Lambda function configured to work together.
2. **User Interface**: Create a simple web interface (using Flask, for example) where users can upload their images. The UI should be intuitive and user-friendly.
3. **Image Processing**: Define the logic inside your Lambda function that processes the uploaded images. For simplicity, let's say the processing involves resizing the image to a standard size (e.g., 800x600 pixels).
4. **Storage**: After processing, store the resized image back into the S3 bucket with a new filename that indicates it has been processed (e.g., adding '_processed' to the original file name).
5. **Security**: Implement basic security measures such as ensuring only authorized users can upload images and that the Lambda function can securely access the S3 bucket.
6. **Monitoring**: Add logging to both the Lambda function and the Flask app to monitor the processing times and any errors that occur during the image processing.
7. **Documentation**: Provide clear documentation on how to deploy the application using the AWS CDK, how to use the web interface, and how to manage the resources.

This project will demonstrate the integration of AWS services through CDK constructs and showcase the power of serverless architectures in handling dynamic content like images.