AWS Content Moderation System

Real-time content moderation powered by AWS Rekognition 🚀

🌟 Screenshots & Demo

🎥 Live Demo

View Demo Video

📊 Dashboard Interface

🌟 Features

• 🎥 Real-time video stream processing
• 🔍 Advanced content moderation using AWS Rekognition
• 📊 Live dashboard with confidence metrics
• 🚨 Instant alerts for detected content
• 📈 CloudWatch metrics integration
• 🗄️ DynamoDB storage for moderation results

🛠️ Tech Stack

Backend

• Python 3.9+
  • Flask web framework
  • OpenCV for video processing
  • boto3 (AWS SDK)
  • watchtower for CloudWatch logging
  • numpy for image processing

AWS Services

• 🔍 Amazon Rekognition
  • Content moderation
  • Label detection
  • Confidence scoring
• 📊 Amazon CloudWatch
  • Real-time metrics
  • Custom dashboards
  • Alert system
• 🗄️ Amazon DynamoDB
  • Result storage
  • Historical data
• 🎥 Amazon Kinesis Video Streams
  • Video ingestion
  • Real-time processing

Frontend

• Modern JavaScript (ES6+)
  • Event-driven architecture
  • Real-time updates
• Chart.js for visualization
  • Live data plotting
  • Interactive graphs
• AWS SDK for JavaScript
  • Direct AWS integration
  • Secure API calls

DevOps & Monitoring

• CloudWatch Dashboards
  • Custom metrics
  • Performance monitoring
• Logging with watchtower
  • Structured logging
  • Error tracking

🚀 Getting Started

1. Clone the repository

   git clone https://github.com/2024PBL-AWS-project/ContentModeration.git

2. Install dependencies

   pip install -r requirements.txt

3. Configure AWS credentials

   aws configure

4. Run the application

   python app.py

📸 Moderation Categories

Our system detects various content categories including:

• Explicit Content
• Violence & Gore
• Hate Symbols
• Drugs & Alcohol
• Gambling
• Inappropriate Gestures

📈 Performance

• Real-time processing at 30 FPS
• Average latency < 200ms
• 99.9% uptime
• Scalable architecture

🔐 Security

• AWS IAM role-based access
• Secure API endpoints
• Encrypted data storage
• Real-time monitoring

👥 Contributors

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• AWS for providing the cloud infrastructure
• The Flask community
• Chart.js contributors
• OpenCV team

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Made with ❤️ by the AWS PBL Team 2024