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API Gateway provides a fully managed platform to create, publish, maintain, monitor, and secure an API for the app, allowing the app front-end to interface with the back-end. To see these in action check out the Image Processing module of our Wild Rydes workshop and the Image Moderation Chatbot reference architecture , respectively. Users interface with the app front-end by uploading or capturing images. If you are unfamiliar with this process the Getting Started documentation pages for Lambda and API Gateway can walk you through it, or you can use the CloudFormation template for this sample to build these components for you. Once I stopped laughing, the episode prompted a question that centers on my role as a Solutions Architect at AWS: How easily could I build my own hotdog identifying app?

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The app front-end is then updated to reflect whether the image contains a hotdog.

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The MinConfidence parameter is optional, and allows you to restrict the labels returned to only those that can be detected by the Rekognition AI to be above a minimum confidence interval. The Lambda function code sample in the repo for this post uses a call to the Slack API to update the front-end after the hotdog detection has occurred. With Rekognition I was able to implement the core AI functionality of the app in less than an hour. If the app was instead integrated with, for example, a web front-end, this would need to be implemented in the Javascript for the web layer.

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