FlashFeed AI News Summarizer

This is a submission for the Redis AI Challenge: Real-Time AI Innovators.

I built FlashFeed AI News Summarizer, a Node.js application that fetches the latest news headlines from multiple RSS feeds (including NYTimes World and BBC World), summarizes the news using Hugging Face’s state-of-the-art BART summarization model, and caches the summarized news in Redis. This ensures fast and efficient retrieval of concise, AI-generated summaries for each news article. The app exposes a REST API endpoint /news that returns fresh, summarized news in JSON format.

Demo

https://github.com/suleiman-dev/flashfeed-ai.git
You can run the app locally by cloning the repo, configuring environment variables, and running node index.js.
Here’s an example response from the /news endpoint:

[
  {
    "title": "The Russian Technocrat Who Helps Enable Putin and Manage the Ukraine War",
    "link": "https://www.nytimes.com/2025/08/10/world/europe/putin-russia-ukraine-war-sergei-kiriyenko.html",
    "pubDate": "Sun, 10 Aug 2025 09:23:00 +0000",
    "source": "NYTimes World",
    "ai_summary": "Sergei V. Kiriyenko has handled the political aspects of the war in Ukraine. ..."
  },
  ...
]

How I Used Redis 8
I used Redis 8 as a semantic caching layer for storing and quickly retrieving summarized news data. Each time the app fetches fresh news and generates AI summaries, it stores the combined result in Redis with an expiration time (TTL) of 1 hour. This reduces the need for repeated API calls to the Hugging Face service and accelerates response time for client requests.
Although Redis 8 supports advanced AI features like vector search, this project primarily leveraged Redis for fast caching of AI-generated content, demonstrating efficient integration of Redis with real-time AI APIs.
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