LiveWeatherML is a real-time weather tracking and prediction system using temperature and humidity sensors connected to an Arduino. The sensor data is fed into a machine learning model built with scikit-learn to predict conditions like precipitation, wind speed, and visibility, providing accurate, real-time weather forecasting based on live data.
active 2024-10-04 → 2025-03-09 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 157 days from 2024-10-04 to 2025-03-09. Pushes: 5 total, peak 5 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Super-cod | 5 | 5 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.