Tech-updates (Personal Tech News Aggregator)
A personal news aggregator that scrapes, categorizes, and surfaces tech news from multiple sources using Azure OpenAI.
Project Overview
Tech-updates is a news aggregation platform that pulls articles from sources like Medium, Y Combinator, and Crunchbase, then uses Azure OpenAI to categorize and analyze the content automatically. The backend runs on Flask and PostgreSQL with a clean REST API. The frontend is React with Vite. Qdrant handles vector storage for search and recommendations. Main features: automated scraping, AI categorization, personalized feeds, and a responsive web interface.
Key Features
AI-Powered Categorization
Azure OpenAI integration for intelligent article categorization and analysis
Vector Database
Qdrant vector database for efficient content storage and similarity search
Multi-Source Scraping
Automated web scraping from Medium, Y Combinator, and Crunchbase
Real-time Updates
Flask REST API with PostgreSQL for real-time content management
Technical Implementation
- React.js with Vite for fast frontend development
- Flask REST API for backend services
- PostgreSQL database for data persistence
- Azure OpenAI for intelligent content categorization
- Qdrant vector database for similarity search
- Web scraping from multiple tech news sources
- Real-time content updates and notifications
- Responsive design for all device types
- Content filtering and personalization
- Search and recommendation algorithms
Challenges Faced
- Implementing reliable web scraping across multiple sources
- Integrating Azure OpenAI for content categorization
- Managing vector database operations efficiently
- Handling real-time content updates and synchronization
- Optimizing search performance with large datasets
Key Learnings
- AI integration in web applications
- Vector database design and optimization
- Web scraping techniques and best practices
- Real-time data management and synchronization
- Full-stack development with AI components