AI-enabled climate-adaptive water disinfection system for low-resource environments
# Light Technologies — Adaptive Water Treatment System
**Controlled-release chlorinated resin with AI-optimised disinfection and community feedback for rural Malawi**
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## Overview
In Malawi, 5.8 million people lack access to safe drinking water. Climate-driven floods and droughts increasingly contaminate water sources, raising the risk of cholera and diarrhoeal disease — leading killers of children under five. Conventional point-of-use disinfection systems fail rural communities because static chlorine dosing cannot adapt to the variable water chemistry caused by changing environmental conditions.
Light Technologies has developed a **controlled-release chlorinated resin** embedded in a low-cost household device that passively treats water without electricity or trained operators. An **AI/ML system** trained on real-world IoT sensor data dynamically predicts and optimises disinfection performance across flood-affected and drought-concentrated water sources. An **SMS/USSD feedback layer** allows community members to report device performance and water quality concerns from basic feature phones — no internet or smartphone required.
This repository contains hardware documentation, pilot sensor data, and model development code for the system. A full open-source release is a formal deliverable of the current funding phase (target: Months 9–12).
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## Key results to date
| Metric | Result |
|---|---|
| E. coli reduction | >95% under controlled conditions |
| WHO-compliant Cl₂ residual | 0.2–0.5 mg/L consistently achieved |
| Field units deployed | 5,000+ (NCST-funded pilot, Malawi) |
| Sensor observations (live) | Ongoing — target 100,000+ readings |
| Willingness to adopt at $5–10/unit | 75% (6,000-household survey, Malawi & Rwanda) |
The project was shortlisted for the **Africa Prize for Engineering Innovation** by the Royal Academy of Engineering.
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## How it works
```
Water source (variable quality)
│
▼
┌─────────────────────────┐
│ Chlorinated …