AI Content Moderation UGC Demo
Utilize AWS AI services to moderate user-generated content (UGC).
Overview
This demo shows how to use Amazon AI Services to moderate UGC content. It includes typical UGC use cases such as user profile moderation, social post moderation, livestream moderation, chatroom moderation, and audio moderation.
Livestream moderation
Learn how to utilize AWS AI services, such as Rekognition, Comprehend, and Transcribe, to moderate UGC in a livestream use case. This tutorial will cover real-time moderation for streaming video, camera, text in the chatroom, and audio moderation.
Moderate an user registration form
Learn how to use AWS AI services, Rekognition and Comprehend, to moderate a user registration form that includes text and images.
Social post moderation
Discover how to utilize AWS AI services, Rekognition and Comprehend, to moderate a social media post that includes both text and images. You will learn how to moderate the text, images, and text images individually, and obtain generic labels from the uploaded images.
Architecture
The UGC content moderation demo was designed as a serverless web application to showcase how AWS API services can be utilized for UGC moderation. The system was implemented using a microservices architecture, which comprised the following logical components:
- The frontend website is a static REACT web application hosted on an S3 bucket as a static website, with CloudFront serving as a caching layer for optimal performance.
- Amazon Cognito is utilized as the authentication service to manage user pools, handle user login logic, and authenticate frontend requests to the backend RESTful APIs.
- The backend consisted of three logic services for image, text, and audio moderation, respectively. These services are provided through RESTful APIs, which are served by AWS API Gateway and lambda functions that wrap around the AI services Rekognition, Comprehend, and Transcribe.
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