AWS PoC - Indian Legal Document Extractor (Aadhar, PAN, etc) with Bedrock, Lambda, SQS

Опубликовано: 21 Сентябрь 2024
на канале: Machine Learning Hub

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Hello, Guys, I am Spidy. I am back with another video.

This solution is a proof of concept for an Indian Legal Document Extractor utilizing AWS Lambda, Bedrock, SQS, and S3.

Chapters:

00:00 - Video Introduction
00:44 - Real-life Use Case Demonstration
02:52 - Architectural Overview
09:12 - Creating an S3 Bucket
11:14 - Setting Up a Lambda Function
12:35 - Creating an IAM Role
13:51 - Explanation of Lambda Function Code
19:31 - Configuring SQS Queue and Policy
21:50 - Creating an S3 Event with SQS
24:12 - Setting Up Lambda SQS Event Trigger
25:25 - Testing the Automation Flow
29:43 - Solution Conclusion

Used Services
- AWS Lambda: Responsible for managing the backend of the Document Extractor using the Boto3 SDK.
- AWS SQS: Manages the scalability of solutions by maintaining a queue, enabling multiple documents to be processed.
- Bedrock Claude Sonnet Model: Used to extract JSON data from legal documents.
- S3: Stores images of legal documents and triggers SQS with a Lambda function upon upload.

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Note: If you want me to solve your errors and make the project run into the system, I will do it using a remote desktop, and it will be paid. You can reach me at kushalbhavsar58 for your queries.

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