Administrators of large channels in popular chat apps can struggle to protect their users from trolls posting explicit or suggestive images. The Image Moderation Chatbot Serverless reference architecture solves this problem by using Amazon API Gateway, AWS Lambda, and Amazon Rekognition's image moderation deep learning feature to check images contained in messages posted to channels for explicit or suggestive content. Image moderation provides a hierarchical list of labels for each image with confidence scores to enable fine-grained control over what images to allow. Images found to contain explicit or suggestive content labels above a minimum confidence interval are automatically removed by the bot, and a message explaining the removal is posted by the bot to the originating channel.

This example is intended to work with Slack, but could also be modified to work with other popular chat apps such as Facebook Messenger.

This repository contains sample code for all the Lambda functions depicted in the diagram below as well as an AWS CloudFormation template for creating the functions and related resources.

To see some of the other powerful features of Amazon Rekognition in action check out the Image Recognition and Processing Backend Serverless reference architecture

https://github.com/aws-samples/lambda-refarch-image-moderation-chatbot?did=wp_card&trk=wp_card