This project automates the collection, processing, and analysis of online data from various sources (Twitter/X, Reddit, dark web APIs, and more) using AWS services and AI models. The system enables large-scale data retrieval and NLP processing using Claude 3 on AWS Bedrock.
- Multi-Source Data Scraping: Fetch data from APIs like Twitter/X, Reddit, and dark web intelligence providers.
- Automated ETL Processing: Use AWS Glue to clean, normalize, and store data in S3.
- AI-Powered Analysis: Utilize Claude 3 on AWS Bedrock for NLP tasks, including summarization and pattern detection.
- Scalability: Auto-scaling compute with Kubernetes or AWS Lambda for cost efficiency.
- Security & Compliance: API keys managed securely, ensuring data privacy.
- Data Collection: Fetch real-time data from APIs.
- Storage: Store structured data in AWS S3.
- ETL Processing: Clean and normalize using AWS Glue.
- AI Processing: Use Claude 3 via AWS Bedrock to analyze data.
- Result Storage: Save processed results in a structured format.
- AWS Account with access to:
- AWS Bedrock (Claude 3 model)
- AWS Glue (ETL processing)
- AWS Lambda (serverless execution)
- S3 Buckets (data storage)
- API keys for:
- Twitter/X API
- Reddit API
- Dark web monitoring APIs (e.g., DarkOwl, Cybersixgill)
- Docker & Kubernetes (for scalable deployments)
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Clone the repository
git clone https://github.com/yourusername/ai-web-intelligence.git cd ai-web-intelligence -
Set up API keys in a
.envfile:TWITTER_API_KEY=your_key REDDIT_CLIENT_ID=your_id DARKWEB_API_KEY=your_key AWS_ACCESS_KEY=your_key AWS_SECRET_KEY=your_secret -
Install dependencies
pip install -r requirements.txt
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Run data scraping scripts
python fetch_twitter.py python fetch_reddit.py
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Process data using AWS Glue
aws glue start-job-run --job-name your-glue-job
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Analyze data with Claude 3 on AWS Bedrock
python process_with_claude.py
- Data is stored in S3 and processed using AWS Glue.
- Claude 3 model is used to generate insights from collected data.
- Results are saved in structured formats for further analysis.
- Add real-time alerting for critical insights.
- Improve query optimization for API calls.
- Expand sources to include news APIs & government records.