A script that reads files is easy. A script that ‘understands’ technology is a different story. In this post, we configure the Python environment, solve CrewAI integration errors, and succeed in having Gemini Flash extract ‘pure gold’ from our Markdown posts.
While Project Weather’s AI prediction model is a highlight, its true robustness lies in its meticulously designed infrastructure. This post explores the significant enhancements in data collection, multilingual support, dynamic data filtering, and UI/UX that elevate the application to a production standard, demonstrating a holistic approach to complex web development.
We kick off our weather project by building the engine: a Python script that talks to an API, saves historical data, and runs daily thanks to GitHub Actions. I’ll share the tricks and challenges!