Tech for Good- Open Source Solution for Climate and Healthcare.
summary
Open-source projects pair satellite and ground data with ML to cut emissions and improve care: OpenClimateFix uses Python/PyTorch on GCP and OpenShift to deliver 30% accuracy increase for Rajasthan solar forecasts, 100% penalty reduction on forecasting fines and claims up to 55% accuracy gains for cloud-based generation; Open Data Cube ingests Landsat/Sentinel/MODIS for flood, burn and land‑cover mapping used by governments; OpenMRS runs in 80+ countries (8,000+ sites) as a Java/MySQL EMR; PyArrow, Snowflake, Starburst/Trino and Terraform appear in deployed stacks.
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chapters (10)
- 0:00Open source for climate & healthcare
- 1:04Four pillars of social impact
- 4:15Climate & healthcare challenges
- 6:26Open Climate Fix forecasting
- 9:58Open Data Cube mapping
- 12:47OpenMRS medical records
- 16:01Data tools for climate & healthcare
- 17:47Contributing to open projects
- 20:36Careers in open source
- 21:06Q&A on Open Data Cube
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