Software

AI-Integrated UV Water Filter — Xylem Ignite Program

Investigated 15 public fountain water samples and explored a proposed UV filtration design with simulated monitoring. The physical system and Raspberry Pi implementation were not built.

Overview

Microtrace combined public fountain water sampling with a proposed UV filtration design and a dashboard using simulated turbidity, temperature, and UV exposure measurements. Supported by Xylem Ignite, the work included CAD renderings and a conference presentation. The physical filtration system and proposed Raspberry Pi integration were not implemented.

Role

Researcher — Investigated public fountain water samples with Rishi Yedavalli and Mithra Vikram and worked on the filtration design and simulated monitoring interface.

Tech Stack

•Raspberry Pi (proposed)
•Python
•Simulated Monitoring Dashboard
•UV Filtration CAD Design
•Simulated Turbidity, Temperature & UV Measurements
•Data Collection & Analysis

Key Challenges

•Exploring a proposed UV filtration design
•Communicating simulated measurements through a monitoring dashboard
•Developing CAD concepts for use at public water fountains
•Systematic public fountain water sampling and analysis

Results

•Proposed filtration design documented in CAD; no physical implementation
•Collected and tested 15 public fountain water samples
•Presented at International Conference on Water, Sanitation and Public Health (ICWSPH-25)
•Dashboard demonstrating simulated turbidity, temperature, and UV measurements

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