This project addresses the challenge of staying updated with the rapidly evolving AI and technology landscape by aggregating news from a vast array of sources. It targets AI researchers, developers, and tech enthusiasts by providing a curated, filtered, and translated stream of the latest information, accessible via a web interface and structured data output. The primary benefit is efficient access to relevant AI news without manual searching across numerous platforms.

How It Works

The aggregator collects content from 14 specialized platforms, over 70 curated RSS feeds, and 52 WeChat official accounts, totaling more than 140 distinct sources. It employs keyword-based filtering to isolate AI and technology-related content from the massive influx of information. English titles are automatically translated into Chinese, offering users the choice of viewing original, translated, or bilingual titles. Content is automatically refreshed every two hours using GitHub Actions, ensuring data freshness. A React and TypeScript-based web application provides a user-friendly interface for browsing, filtering, and searching news, with support for features like dark mode and article collection.

Quick Start & Requirements

• Primary install/run command: Requires Node.js (>= 18.0.0) and pnpm (recommended) or npm. Installation involves cloning the repository, installing dependencies (pnpm install), fetching data (pnpm fetch), and running the web interface (cd web && pnpm install && pnpm dev).
• Prerequisites: Node.js version 18.0.0 or higher.
• Links: Online preview available at https://suyxh.github.io/ai-news-aggregator/.

Highlighted Details

• Aggregates content from 14 platforms, 70+ RSS feeds, and 52 WeChat official accounts.
• Intelligent filtering specifically targets AI and technology-related news.
• Automatic bilingual title translation (English to Chinese) with multiple display options.
• Data is automatically updated every 2 hours via GitHub Actions.
• Features a responsive web visualization built with React and TypeScript, including search, filtering, and dark mode.
• Outputs structured data in JSON format for further analysis or integration.

Maintenance & Community

The project leverages GitHub Actions for automated updates, ensuring continuous operation. Bug reports and feature suggestions can be submitted via GitHub Issues. No dedicated community channels like Discord or Slack are explicitly mentioned.

Licensing & Compatibility

The project is licensed under the MIT license. This permissive license generally allows for commercial use, modification, and distribution, including integration into closed-source projects.

Limitations & Caveats

The project's functionality relies on the continued availability and accessibility of numerous external data sources, including RSS feeds and WeChat official accounts, which are subject to change or discontinuation. The WeChat integration, in particular, may be sensitive to platform policy updates. Setup requires familiarity with Node.js package management and command-line operations.