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Software Development
AWS Lambda, Amazon S3, Amazon CloudFront, Amazon API Gateway
AI-Powered Moderation for Scalable Streaming
The client is a leading technology company that specializes in providing advanced solutions to entrepreneurs, businesses, and organizations. We are committed to staying at the forefront of the latest technologies, ensuring that our clients stay ahead of the curve.
Reduction in manual review time
Accuracy in moderation detection
End-to-end processing latency
The client wanted to automate and scale content moderation across videos, audio, and subtitles for their video platform. Their old system couldn’t automatically detect harmful material or manage changing workloads, and manual reviews were too slow and inefficient for large-scale use.
• Automated video moderation pipeline triggered by Amazon S3 uploads using Amazon SQS and AWS Lambda.
• Scalable processing with Amazon EC2 Auto Scaling Group and Application Load Balancer for heavy workloads.
• AI-powered content detection using Amazon Rekognition for video and Amazon Transcribe/Amazon Bedrock for audio moderation.
• Real-time job tracking in Amazon DynamoDB with detailed flags, timestamps, and URIs.
• Frontend moderation interface for blur, beep, mute, cut, and subtitle editing via backend APIs.
• Optimized output delivery with/without subtitles, separate SRT files, and AWS MediaConvert downsizing via Amazon S3.
Automated moderation achieved 80%+ accuracy and reduced manual effort by 90%, enabling real-time, compliant content delivery.
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