This project is a serverless MLOps pipeline for AI-driven document processing, automating text extraction, refinement, and analysis. It leverages AWS Textract, SageMaker, and OpenSearch, along with AWS CDK for infra provisioning.

This project automates document extraction and processing using AWS Textract, AWS Lambda, and Amazon S3. It eliminates manual data entry by extracting structured data (like text, tables, and key-value pairs) from scanned documents, PDFs, and images.

This web application automates text and structured data extraction from scanned documents using AWS Textract. Users can upload scanned files, extract text, and view the structured output on a clean and responsive frontend. The project leverages Node.js, React.js, and AWS services like Textract and S3 for seamless processing and storage.

This project is a serverless MLOps pipeline for AI-driven document processing, automating text extraction, refinement, and analysis. It leverages AWS Textract, SageMaker, and OpenSearch, along with AWS CDK for infra provisioning.

Serverless KYC document processing pipeline using AWS. Documents uploaded to S3 trigger Lambda for OCR with Textract, intelligent cleaning and classification using Amazon Bedrock, metadata storage in DynamoDB, and archival to a processed S3 bucket. Fully automated via CLI + cron.

An AI-powered repository for insurance analysis, using AWS Textract to extract policy & medical data, build risk scores, and analyze profitability. Automates document processing, risk assessment, and payout analysis with scalable cloud deployment.

Automated, event-driven, asynchronous, highly scalable, highly available serverless OCR system leveraging dual AI engines (Claude API + AWS Textract), processes documents in 5s up to average 60 seconds with 99% OCR accuracy and dynamic fuzzy search, grammar, punctuation correction and end to end Security demonstrated AWS pillars of best practices.