Turn video into a reviewable moderation signal.

A computer-vision processing pipeline for analysing short-video content and producing moderation-related filtering and reporting outputs.

Explore the project

BUILT FOR

Teams operating short-video moderation workflows

Illustrated overview of AI Video Moderation

THE IDEA BEHIND THE BUILD

Start with a real problem.

01 / THE CHALLENGE

What needed to work better?

Video platforms need a way to process visual content consistently and surface relevant signals for their moderation workflow.

02 / THE SOLUTION

A connected way forward.

The project combines computer-vision models with an AWS processing pipeline. Queue-based components support the flow between video input, analysis, and reporting.

WHY IT MATTERS

Designed to make the work easier.

A structured visual-analysis pipeline
Processing connected to reporting
A basis for filtering and review workflows

WHAT THE PRODUCT DOES

The useful parts, explained.

Core capabilities that turn the idea into a practical product.

Computer-vision analysis

Use model-based processing to analyse video content.

Processing pipeline

Connect the analysis stages through an AWS-based workflow.

Queue-based coordination

Use messaging components to move work between stages.

Filtering and reporting

Make the resulting signals available to the moderation process.

HOW IT COMES TOGETHER

Follow the workflow.

Select a step to see how the project moves from input to outcome.

STEP 01 / THE WORKFLOW

Receive video

Start with a video item entering the workflow.

Illustrative workflow overview

BUILT WITH

The technology behind the work.

The stack behind this project and its connected workflow.

PyTorchYOLOAWSKafka / SQS

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Turn video into a reviewable moderation signal.