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2 min read10 weeks

Serverless Image Processing Service

MediumBTech CSEMCAMTech CSEBE CSE+1 moreCloud Computing
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An on-demand image service that resizes, compresses, watermarks, and converts images through serverless functions triggered by uploads or URL parameters.

Problem Statement

Websites serve oversized images that slow pages down, and running dedicated servers for image processing wastes money during idle time.

Objectives

1

Process images with serverless functions

2

Trigger processing from storage events

3

Cache results for repeat requests

4

Expose a simple URL based API

Modules

M1

Upload Handler

Signed uploads directly to object storage.

M2

Processing Functions

Resize, crop, compress, and watermark operations.

M3

Caching Layer

CDN and Redis cache for transformed images.

M4

Usage Dashboard

Requests, bandwidth saved, and error tracking.

Expected Output

A service where adding parameters to an image URL returns an optimised version generated on demand.

Future Scope

Automatic format selection, face-aware cropping, and video thumbnail generation.

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Yes, this project includes a detailed problem statement, objectives, and module breakdown that you can use for your college submission. The synopsis PDF we provide is formatted for academic submission.
This project uses: AWS, Redis, Node.js, TypeScript. Basic knowledge of these technologies is recommended before starting.