Project: Serverless Grayscale → Color Image Processing on AWS

This project implements a serverless image-processing pipeline using AWS Lambda, S3, and CloudWatch. When a coloured image is uploaded to an S3 bucket, a Lambda function automatically converts it into a greyscale image and stores the result in another bucket.

Architecture

S3 Input Bucket → Upload colour image

S3 Event Trigger → Invokes Lambda

Lambda + Pillow Layer → Greyscales image

S3 Output Bucket → Stores processed image

CloudWatch Logs → Execution monitoring

IAM

No new IAM roles were created. A predefined role (LabRole) was reused.

Technologies Used

AWS Lambda (Python 3.11)

AWS S3

Lambda Layers

Pillow (PIL)

CloudWatch

IAM

Image Processing

Uses: ImageOps.colorize()

to map color → greyscale.

Key Learning Outcomes

Serverless architecture S3 event triggers Lambda Layers Cloud debugging CloudWatch monitoring Python image processing

Future Improvements

User-selectable color styles API Gateway → upload from UI Error handling/log metrics CI/CD deployment