Village-level drinking-water accessibility for 5,159 villages in Sindh, Pakistan, from open satellite data, and why the standard method ranks the driest district as best-served.
-
Updated
Aug 31, 2026 - Python
Village-level drinking-water accessibility for 5,159 villages in Sindh, Pakistan, from open satellite data, and why the standard method ranks the driest district as best-served.
Agentic AI platform for SDG 6 (Clean Water & Sanitation) — 3 specialized AI agents + a cross-domain orchestrator for leak detection, water quality monitoring, and predictive maintenance. Built in n8n.
An AI-powered Smart Water Quality Monitoring System developed to support SDG 6 through real-time water quality monitoring, digital reporting, data visualization, and intelligent decision-making for sustainable water resource management.
💧 AIgua is a friendly AI-powered assistant that analyzes water quality test results and provides clear, human-centered guidance for safe usage, risks, and treatment suggestions — built with watsonx.ai, LangChain, and RAG.
Two-part Google Sheets analysis of WHO/UNICEF JMP drinking-water data: 2020 access inequalities and 2000–2020 progress transformation.
To associate your repository with the sdg6 topic, visit your repo's landing page and select "manage topics."