How to Build This | S2E6 Virtual Exam Proctor Solution

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In this episode, Jillian Forde breaks down the architecture to build a virtual proctoring solution into your app.  You'll learn how you can use AI to detect if a person might be cheating on an exam. The best part is you don't have to be a data scientist to build this solution! No ML experience necessary! 

Special Thanks to These Contributors: Walid Benabderrahmane, Zoran Nakev

Resources to get started:
Working with Streaming Videos: https://docs.aws.amazon.com/rekognition/latest/dg/streaming-video.html
Setting-up your Amazon Rekognition: https://docs.aws.amazon.com/rekognition/latest/dg/setting-up-your-amazon-rekognition-streaming-video-resources.html
AWS Content Analysis: https://aws.amazon.com/solutions/implementations/aws-content-analysis/
Searching faces in a collection in Amazon Rekognition: https://docs.aws.amazon.com/rekognition/latest/dg/collections.html
How to create a serverless workflow: https://aws.amazon.com/getting-started/hands-on/create-a-serverless-workflow-step-functions-lambda/

Check out more resources for architecting in the #AWS cloud:
http://amzn.to/3qXIga1

#AWS #AmazonWebServices #CloudComputing #HowToBuildThis
Category
Amazon Web Services
Tags
AWS, Amazon Web Services, Cloud
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