<ul><li>Spring Pokédex is an app designed to help identify unknown plant species through image uploads.</li><li>The user story follows Ashley, an AWS engineer, using the Spring Pokédex to identify a flower she encountered in the park.</li><li>Key components like AWS Cognito for user management and Momento for real-time notifications enhance the user experience.</li><li>The architecture involves CloudFront CDN for content delivery, with behaviors pointing to different origins based on URL paths.</li><li>Authentication flow includes Cognito-managed logins and Momento disposable tokens for accessing specific data.</li><li>Image uploads trigger AWS Lambda functions for processing and identification using OpenAI API.</li><li>DynamoDB stores scan history and allows sharing of scans with a time-limited CloudFront signed URL.</li><li>Rate limiting scans is managed through Momento cache to prevent excessive usage within a day.</li><li>Sensitive credentials are secured using AWS SSM Parameter Store or AWS Secrets Manager, not stored directly in code.</li><li>The Spring Pokédex project showcases a modern serverless event-driven architecture for nature enthusiasts like Ashley.</li></ul>

Spring Pokédex - Explore! Identify! Appreciate!

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