Building a Serverless AI-Powered Text Summarizer using AWS Bedrock

Introduction

In this project, I built a serverless AI-powered text summarizer using Amazon Bedrock, AWS Lambda, API Gateway, DynamoDB, and a React frontend hosted on AWS Amplify.

It summarizes input text into concise content using powerful LLMs, while leveraging serverless technology for cost-efficiency and scalability.

Architecture Overview

React (Amplify) → API Gateway → Lambda → Amazon Bedrock → DynamoDB

• React.js: User-facing frontend hosted on AWS Amplify

• API Gateway: Exposes REST API endpoints to the frontend

• AWS Lambda: Serverless compute running our summarization logic

• Amazon Bedrock: Provides the generative AI summarization capability

• DynamoDB: Stores summaries for future reuse to avoid redundant AI calls

GitHub & Documentation

Repo: https://github.com/Utkarshlearner/aws-ai-text-summarizer

https://github.com/Utkarshlearner/aws-ai-text-summarizer/blob/main/ai_summarizer_project.pdf

Deployment Steps

This project uses AWS CLI + CloudFormation templates to create infrastructure.

Make sure the AWS CLI is configured (aws configure) before running these commands.

1) Create IAM Role
aws cloudformation create-stack --stack-name AI-Summarization-IAM-Role --template-body file://iam.yaml --capabilities CAPABILITY_NAMED_IAM


2) Create DynamoDB Table
aws cloudformation create-stack --stack-name AI-Summarization-DynamoDB-Table --template-body file://dynamodb.yaml --capabilities CAPABILITY_NAMED_IAM


3) Create Lambda Function
aws cloudformation create-stack --stack-name AI-Summarization-Lambda --template-body file://lambda.yaml --capabilities CAPABILITY_NAMED_IAM

4) Create API Gateway
aws cloudformation create-stack --stack-name AI-Summarization-APIGateway --template-body file://apigateway.yaml --capabilities CAPABILITY_NAMED_IAM

5) Create Amplify Hosting
aws cloudformation create-stack --stack-name AI-Summarization-Amplify --template-body file://amplify.yaml --capabilities CAPABILITY_NAMED_IAM

6)React Frontend (Amplify Hosting)
npm run build

7) Zip build folder contents

8) Deploy via Amplify Console (Drag-and-Drop)

Postman Testing

Once deployed:

• Use Postman to hit the API endpoint

• Pass JSON body:

Payload:

{ "text": "Artificial Intelligence is transforming the world in unimaginable ways..." }

Best Pratices Learned

• Use DynamoDB for caching:

  • Avoids repeated calls to Bedrock

  • Reduces cost and latency

• Separate responsibilities with microservices:

  • Keep summarization logic in Lambda

  • Manage frontend and backend independently

• Always test endpoints locally via postman

• Enable CORS properly in API Gateway for seamless frontend-backend integration

• Clean up unused stacks/resources to avoid surprise billing

Use CloudFormation for reproducibility and version control of infra

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