Japanese Truck Driver Builds AI News Aggregator Using RSS Feeds and Gemini API

A self-taught Python developer and active truck driver in Japan created 'Puoppo,' an automated AI trend analysis tool, after just 42 hours of programming study. The app lets users enter any topic and aggregates up to 100 related articles from official RSS feeds, then summarizes them using Google's Gemini 2.5 Flash model — all within 10 to 15 seconds. The developer initially explored web scraping but abandoned it after running into IP blocks and high maintenance costs from frequent site layout changes, opting instead for publisher-provided RSS feeds as a more reliable data source. Built with Python, Flask, and plain HTML without any JavaScript framework, the tool is designed around a minimal single-column interface for quick morning news consumption. The project is open-source and available on GitHub under the repository tosane932/puoppo_app.
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