[New repo]: Serverless-Intelligent-Document-Processing

[paulkannan]

Description

This architecture is designed to provide a serverless, efficient, and automated solution for identifying valid Indian ID cards from uploaded documents into S3 and through API Gateway. The application supports identification and validation of Aadhaar, Indian Driving License, Indian Passport and Permanent Account Number in .jpg, .jpeg, and .png file formats only. The workflow comprises three main phases: Image Validation by Amazon Rekognition, Data Extraction by Amazon Textract, and PII Entity Identification by Amazon Comprehend, followed by document categorization into valid and invalid ID cards. A notification is sent to end users through Amazon SNS, and the data is forwarded to Amazon SQS for consumption by end user applications.

language

English

runtime

Python

Level

300

Type

Application

Use case

Backend

Primary image

https://github.com/paulkannan/Serverless-Intelligent-Document-Processing/blob/main/dataprocessing.png

IaC framework

AWS CDK

AWS Serverless services used

• [X] Amazon API Gateway
• [ ] Amazon DynamoDB
• [ ] Amazon EventBridge
• [ ] AWS IoT
• [X] AWS Lambda
• [X] Amazon Rekognition
• [X] Amazon S3
• [ ] AWS Step Functions
• [X] Amazon SNS
• [X] Amazon SQS
• [ ] Amazon Transcribe
• [ ] Amazon Translate

Description headline

Serverless Intelligent Document Processing

Repo URL

https://github.com/paulkannan/Serverless-Intelligent-Document-Processing

Additional resources

No response

Author Name

Paul Kannan

Author Image URL

https://github.com/paulkannan/Cloudformation/blob/main/IMG-0484.JPG

Author Bio

Im an AWS Technical Account Manager. I specialise in simplifying complex issues with simple solutions for our customers.

Author Twitter handle

No response

Author LinkedIn URL

https://www.linkedin.com/in/paulkannan/

leave

No response

[jbesw]

Thanks - this will be live at https://serverlessland.com/repos/serverless-intelligent-document-processing shortly.