grasscast: a "should I go outside?" forecast that learns your taste from a few dozen outings (TabPFN + Temporal)
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass What I Built Weather apps tell you it'll be 64°F with 10 mph wind on Saturday. They can't tell you whether you will enjoy a hike in that, or whether Thursday morning would be the better bet. grasscast is a small command-line tool that answers "when should I go outside this week?" for one person. You keep a…
grasscast is a command-line tool that helps users decide the best time to go outside for various outdoor activities. It learns a user's preferences based on a small log of their past outings, taking into account factors like weather conditions and personal enjoyment levels. The tool uses TabPFN, an open-weight tabular foundation model, to analyze the log and score each daylight window in the next 7 days.
It then provides the best window for each day, along with the likelihood of a rating of 4-5 stars and a brief explanation of why. The plan can be imported into a calendar app, allowing users to easily plan their outdoor activities without checking multiple weather apps. grasscast focuses on the actual experience of being outside, rather than just providing weather information.
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