Description
Project description
An open-source AI newsletter platform that automatically aggregates and curates content from 150+ sources including research papers, news sites, GitHub repositories, and AI events. The project aims to solve the challenge of information overload in the AI field by providing customizable, automated newsletters that help researchers, developers, and teams stay updated with relevant content.
The platform features smart content categorization, engagement tracking, and async content processing from diverse sources including arXiv papers, industry news, trending GitHub repositories, AI competitions, and product launches. Our goal is to create a community-driven platform that makes it easier for everyone to stay informed about AI developments without getting overwhelmed.
Relevant Technology
- Python 3.11+
- Flask for web framework
- AWS DynamoDB for data storage
- BeautifulSoup4 for web scraping
- Feedparser for RSS processing
- Schedule for task scheduling
- Pydantic for data validation
- uvicorn for ASGI server
- Docker for containerization
Complexity and required time
Complexity
- Intermediate - The user should have some prior knowledge of the technolog(y|ies) to the point where they know how to use it, but not necessarily all the nooks and crannies of the technology
Required time (ETA)
- Medium work - A week or two
Categories
- Web app
- Frontend/UI
- AI/ML
- APIs/Backend
- Developer Tooling