Skip to content

Cloud & DevOps · Major Project

Serverless Image Processing Pipeline

S3 uploads trigger resizing, thumbnails and moderation automatically

2-3 weeks build

Overview

An event-driven pipeline with nothing running between uploads. A browser uploads straight to S3 through a presigned URL, the upload event triggers a Lambda that produces resized and WebP versions, and a moderation step asks Rekognition for unsafe-content labels before an image is published. Failures land in a dead-letter queue instead of vanishing, and at demo volumes it stays inside free-tier limits.

What makes it stand up

  • 01Direct browser-to-S3 uploads with short-lived presigned URLs
  • 02Resized, thumbnail and WebP variants generated on upload
  • 03Moderation labels checked before an image goes public
  • 04Dead-letter queue and retries for uploads that fail processing
  • 05Image metadata and moderation status stored in DynamoDB

Module breakdown

  1. 01

    Upload

    Presigned URL endpoint and a simple web uploader.

  2. 02

    Processing

    Pillow Lambda that writes each variant to an output bucket.

  3. 03

    Moderation

    Rekognition labels with a threshold and a review queue.

  4. 04

    Metadata

    DynamoDB records for sizes, status and processing time.

  5. 05

    Reliability

    Retries, a dead-letter queue and recursion-safe bucket layout.

After this, you will be able to

  • Explain event-driven design and why the output bucket is separate
  • Defend your failure handling and retry strategy
  • Demo an upload turning into thumbnails within seconds

Technology stack

  • AWS Lambda
  • Amazon S3
  • Python
  • Pillow
  • DynamoDB
  • Amazon Rekognition

Complete kit

₹6,899₹11,699
-41%

Delivered in under 48 hours

Level
Major Project
Domain
Cloud & DevOps
Build time
2-3 weeks
Difficulty

You receive

  • Complete, commented source code
  • 60-90 page project report (IEEE format)
  • Editable presentation deck
  • Architecture, ER and UML diagrams
  • Local setup and deployment guide
  • Sample dataset or seed data
  • Viva question bank with answers
  • One 45-minute walkthrough call
  • 30 days of doubt-clearing support
Compare tiers

Keep looking

Students also considered

Capstone

Cloud & DevOps

Cloud-Native CI/CD Platform

GitOps pipeline with Kubernetes, Helm and progressive delivery

  • Kubernetes
  • Docker
  • Helm
  • Argo CD
  • +2
₹5,299₹8,999
4.8/74 reviews
Capstone

Cloud & DevOps

Microservices Observability Stack

Traces, metrics and logs across services that call each other

  • Go
  • Docker
  • OpenTelemetry
  • Prometheus
  • +2
₹5,299₹9,099
4.8/69 reviews
Mini Project

Cloud & DevOps

Package & Deploy an ML Model as an API

Takes a trained model to a versioned, containerised FastAPI service

  • Python
  • scikit-learn
  • FastAPI
  • Docker
  • +1
₹5,899₹9,999