My weather app says '60% rain' all day. So I made TabPFN tell me which hours to go touch grass.

A developer has created 'Go Out Today?', a personalized weather briefing tool designed to help users in Lagos, Nigeria, find optimal windows for outdoor activities. Tired of vague '60% rain' forecasts, the creator built a system that uses TabPFN to analyze three years of local historical weather data to predict rain and temperature for the next 12 hours. The pipeline processes these predictions into actionable insights, which are then converted into natural language by a local Qwen model via Ollama. Finally, ElevenLabs generates a voice briefing with synchronized captions. By keeping the logic local and separating the fact-finding from the generative AI, the project ensures accuracy while minimizing screen time. The application runs entirely on a standard laptop without a GPU, demonstrating an efficient, privacy-conscious approach to using foundation models for daily personal utility.
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