AI News Pipeline

Real-Time Collection and Analysis of AI Trends

This project presents a sophisticated data pipeline designed to capture, process, and analyze real-time news and discussions about artificial intelligence from major social platforms.

Technical Architecture

Real-Time Data Collection

Social APIs

Reddit API integration to capture AI community discussions
X (Twitter) API connection to track tweets and conversations
Automated collection of relevant content via targeted keywords
Rate limiting management and query optimization

Data Streaming

AWS Kinesis Data Streams for high-performance ingestion
Intelligent partitioning for scalability
Real-time data buffering and aggregation
Traffic spike and variable load management

Serverless Processing

AWS Lambda Functions

Processing functions triggered by Kinesis events
Text data cleaning and normalization
Entity extraction and sentiment analysis
Automatic content classification by AI themes

Data Transformation

Data enrichment with contextual metadata
Intelligent deduplication of similar content
Temporal aggregation for trend analysis
Automated validation and quality control

Storage and Analytics

Amazon Redshift Data Warehouse

Optimized schemas for temporal trend analysis
Fact and dimension tables for multidimensional analysis
Compression and partitioning for optimal performance
Configurable historical data retention

Interactive Dashboards

Real-time AI trend visualizations
Sentiment and engagement metrics
Cross-platform comparative analysis
Emerging topic alerts

Key Features

Trend Monitoring

Automatic detection of emerging AI topics
Public sentiment evolution analysis
Influencer and content creator identification
Engagement and virality metrics

Advanced Analytics

Correlations between events and discussions
Future trend prediction based on history
Audience segmentation by technology interests
Geographic and temporal analysis

Monitoring and Alerts

Continuous pipeline health monitoring
Proactive data anomaly alerts
AWS performance and cost metrics
Automated key insights reporting

Technology Stack

Cloud Platform: Amazon Web Services (AWS)
Streaming: AWS Kinesis Data Streams
Processing: AWS Lambda with Python runtime
Storage: Amazon Redshift for analytics
APIs: Reddit API, X (Twitter) API
Monitoring: CloudWatch and custom alerts

Source Code Note

The source code for this project is not yet publicly available as I am currently developing an interactive web interface that will allow users to explore data and trends in real-time. This interface will be available soon and the complete project will then be shared.

Use Cases

Technology intelligence for AI professionals
Market analysis for tech companies
Academic research on technology adoption
Early detection of emerging innovations

This data pipeline demonstrates the use of serverless architectures for real-time processing of large-scale social data.