sdg6

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.

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.

💧 An AI-powered hybrid intelligence system for early household water leak detection, consumption benchmarking (UN SDG 6), and personalized conservation advice.

Predicting rural water point failure in Zambia with real UN OCHA data (SDG 6). Finds a corrupted label and two target-leakage traps, validates on held-out districts, and reports an honest weak result that a one-line age rule matches.

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.

SMS fault reporting and repair triage for rural water points in Zambia (SDG 6). Supplies the dated functionality records the national WPdx data has never had.

💧 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.