Event-driven, serverless ETL pipeline on AWS that automates data ingestion, transformation, cataloging, analytics, and notifications using S3, Lambda, Step Functions, Glue, Athena, and SNS.

This project demonstrates how to build a simple image labeling pipeline using AWS services. Images are uploaded to Amazon S3, analyzed with Amazon Rekognition, and processed through a Python script configured via the AWS CLI to automatically detect and display labels with confidence scores. It’s a hands-on way to learn cloud-based computer vision.

AWS Disaster Recovery Strategy using Backup and Restore

Add FreeRTOS Manually in an STM32 Project