New pattern submission: rekognition-s3-detecttext-python

[abilashkumar]

To submit a template to the Serverless Patterns Collection, submit an issue with the following information.

IMPORTANT
Patterns are intended to be primarily IaC-focused implementations of 2-4 AWS services, with minimum custom code. They should be commonly used combinations that help developers get started quickly. If you have a utility, demo, or application, submit these to the Serverless Repos Collection instead.

ONLY SUBMIT ONE PATTERN CHANGE PER PR. Multiple patterns or files spanning multiple pattern directories will be automatically rejected.

Patterns may take up to 4-6 weeks to review, test, and merge but there is no SLA and can take significantly longer due to other work the team has.

To learn more about submitting a pattern, read the publishing guidelines page.

1. Use the model template located at https://github.com/aws-samples/serverless-patterns/tree/main/_pattern-model to set up a README, template and any associated code.

2. THIS PROCESS HAS BEEN SIMPLIFIED. All the information below must be provided in the "example-pattern.json" file cloned from the model **

Note the following information for the model:

• Description (intro.text) should be a 300-500 word explanation of how the pattern works.
  This pattern demonstrates how to creates two S3 buckets (source and destination) which when uploaded with an object invokes a Lambda function through EventBridge and detects the text in a document through Amazon Rekognition. Once a file is uploaded to an S3 bucket, it is listened by the EventBridge which further invokes the lambda function. The lambda function writes the output of the Rekognition text detection (DetectText) to another S3 bucket.

• Resources should like to AWS documentation and AWS blogs related to the post (1-5 maximum).

1. AWS EventBridge - https://aws.amazon.com/eventbridge/
2. Amazon Rekogntiion - https://aws.amazon.com/rekognition/
3. Detecting text using Amazon Rekognition - https://docs.aws.amazon.com/rekognition/latest/dg/text-detection.html

• Author bio may include a LinkedIn and/or Twitter reference and a 1-sentence bio.
  Sr. Cloud Support Engineer @ AWS focusing on Serverless, Contact Centers and AI/ML technologies
  LinkedIn: https://www.linkedin.com/in/abilashkumar-p-c/

You must ensure that the sections of the model README.md are completed in full.

GitHub PR for template:

#2564