Hybrid cloud-edge weather ML platform that predicts near-term rainfall, auto-retrains models, and drives Raspberry Pi shutter actuation with CHIRPS historical rainfall enrichment.
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Updated
Aug 19, 2026 - Python
Hybrid cloud-edge weather ML platform that predicts near-term rainfall, auto-retrains models, and drives Raspberry Pi shutter actuation with CHIRPS historical rainfall enrichment.
This is a linear regression Machine Learning model which I have created with Coursera' s guided project. This is based on the "chirps dataset" which has 'X' variable as number of chirps by a cricket and 'Y' as the temperature.
A production-grade climate data platform for ingesting CHIRPS precipitation raster TIFF files, preprocessing them, converting them to Zarr format, and supporting efficient querying at TB-scale.
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