This repository contains a collection of hands-on AWS and Generative AI mini-projects created for learning, experimentation, and portfolio building. Each project is designed to demonstrate practical understanding of core AWS services and concepts, with a strong focus on the AWS Cloud Practitioner (CLF-C02) certification.
The projects emphasize managed services, cloud-native design, and cost-aware usage, rather than heavy infrastructure setup.
Technologies: Amazon PartyRock, Amazon Bedrock
Description:
An AI-powered daily meal planning application built using AWS-managed
generative AI services. Demonstrates prompt engineering, service abstraction,
and cloud-native application design without managing infrastructure.
📂 Folder: mealmind/
Technologies: Amazon S3, Amazon Rekognition, AWS CLI
Description:
A computer vision project that analyzes images stored in Amazon S3 using
Amazon Rekognition’s DetectLabels API. Demonstrates service integration,
region-specific availability, and real API-based interaction with AWS services.
📂 Folder: image-labels-generator/